2,634 research outputs found

    Flood dynamics derived from video remote sensing

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    Flooding is by far the most pervasive natural hazard, with the human impacts of floods expected to worsen in the coming decades due to climate change. Hydraulic models are a key tool for understanding flood dynamics and play a pivotal role in unravelling the processes that occur during a flood event, including inundation flow patterns and velocities. In the realm of river basin dynamics, video remote sensing is emerging as a transformative tool that can offer insights into flow dynamics and thus, together with other remotely sensed data, has the potential to be deployed to estimate discharge. Moreover, the integration of video remote sensing data with hydraulic models offers a pivotal opportunity to enhance the predictive capacity of these models. Hydraulic models are traditionally built with accurate terrain, flow and bathymetric data and are often calibrated and validated using observed data to obtain meaningful and actionable model predictions. Data for accurately calibrating and validating hydraulic models are not always available, leaving the assessment of the predictive capabilities of some models deployed in flood risk management in question. Recent advances in remote sensing have heralded the availability of vast video datasets of high resolution. The parallel evolution of computing capabilities, coupled with advancements in artificial intelligence are enabling the processing of data at unprecedented scales and complexities, allowing us to glean meaningful insights into datasets that can be integrated with hydraulic models. The aims of the research presented in this thesis were twofold. The first aim was to evaluate and explore the potential applications of video from air- and space-borne platforms to comprehensively calibrate and validate two-dimensional hydraulic models. The second aim was to estimate river discharge using satellite video combined with high resolution topographic data. In the first of three empirical chapters, non-intrusive image velocimetry techniques were employed to estimate river surface velocities in a rural catchment. For the first time, a 2D hydraulicvmodel was fully calibrated and validated using velocities derived from Unpiloted Aerial Vehicle (UAV) image velocimetry approaches. This highlighted the value of these data in mitigating the limitations associated with traditional data sources used in parameterizing two-dimensional hydraulic models. This finding inspired the subsequent chapter where river surface velocities, derived using Large Scale Particle Image Velocimetry (LSPIV), and flood extents, derived using deep neural network-based segmentation, were extracted from satellite video and used to rigorously assess the skill of a two-dimensional hydraulic model. Harnessing the ability of deep neural networks to learn complex features and deliver accurate and contextually informed flood segmentation, the potential value of satellite video for validating two dimensional hydraulic model simulations is exhibited. In the final empirical chapter, the convergence of satellite video imagery and high-resolution topographical data bridges the gap between visual observations and quantitative measurements by enabling the direct extraction of velocities from video imagery, which is used to estimate river discharge. Overall, this thesis demonstrates the significant potential of emerging video-based remote sensing datasets and offers approaches for integrating these data into hydraulic modelling and discharge estimation practice. The incorporation of LSPIV techniques into flood modelling workflows signifies a methodological progression, especially in areas lacking robust data collection infrastructure. Satellite video remote sensing heralds a major step forward in our ability to observe river dynamics in real time, with potentially significant implications in the domain of flood modelling science

    2023-2024 Catalog

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    The 2023-2024 Governors State University Undergraduate and Graduate Catalog is a comprehensive listing of current information regarding:Degree RequirementsCourse OfferingsUndergraduate and Graduate Rules and Regulation

    ACiS: smart switches with application-level acceleration

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    Network performance has contributed fundamentally to the growth of supercomputing over the past decades. In parallel, High Performance Computing (HPC) peak performance has depended, first, on ever faster/denser CPUs, and then, just on increasing density alone. As operating frequency, and now feature size, have levelled off, two new approaches are becoming central to achieving higher net performance: configurability and integration. Configurability enables hardware to map to the application, as well as vice versa. Integration enables system components that have generally been single function-e.g., a network to transport data—to have additional functionality, e.g., also to operate on that data. More generally, integration enables compute-everywhere: not just in CPU and accelerator, but also in network and, more specifically, the communication switches. In this thesis, we propose four novel methods of enhancing HPC performance through Advanced Computing in the Switch (ACiS). More specifically, we propose various flexible and application-aware accelerators that can be embedded into or attached to existing communication switches to improve the performance and scalability of HPC and Machine Learning (ML) applications. We follow a modular design discipline through introducing composable plugins to successively add ACiS capabilities. In the first work, we propose an inline accelerator to communication switches for user-definable collective operations. MPI collective operations can often be performance killers in HPC applications; we seek to solve this bottleneck by offloading them to reconfigurable hardware within the switch itself. We also introduce a novel mechanism that enables the hardware to support MPI communicators of arbitrary shape and that is scalable to very large systems. In the second work, we propose a look-aside accelerator for communication switches that is capable of processing packets at line-rate. Functions requiring loops and states are addressed in this method. The proposed in-switch accelerator is based on a RISC-V compatible Coarse Grained Reconfigurable Arrays (CGRAs). To facilitate usability, we have developed a framework to compile user-provided C/C++ codes to appropriate back-end instructions for configuring the accelerator. In the third work, we extend ACiS to support fused collectives and the combining of collectives with map operations. We observe that there is an opportunity of fusing communication (collectives) with computation. Since the computation can vary for different applications, ACiS support should be programmable in this method. In the fourth work, we propose that switches with ACiS support can control and manage the execution of applications, i.e., that the switch be an active device with decision-making capabilities. Switches have a central view of the network; they can collect telemetry information and monitor application behavior and then use this information for control, decision-making, and coordination of nodes. We evaluate the feasibility of ACiS through extensive RTL-based simulation as well as deployment in an open-access cloud infrastructure. Using this simulation framework, when considering a Graph Convolutional Network (GCN) application as a case study, a speedup of on average 3.4x across five real-world datasets is achieved on 24 nodes compared to a CPU cluster without ACiS capabilities

    Beam scanning by liquid-crystal biasing in a modified SIW structure

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    A fixed-frequency beam-scanning 1D antenna based on Liquid Crystals (LCs) is designed for application in 2D scanning with lateral alignment. The 2D array environment imposes full decoupling of adjacent 1D antennas, which often conflicts with the LC requirement of DC biasing: the proposed design accommodates both. The LC medium is placed inside a Substrate Integrated Waveguide (SIW) modified to work as a Groove Gap Waveguide, with radiating slots etched on the upper broad wall, that radiates as a Leaky-Wave Antenna (LWA). This allows effective application of the DC bias voltage needed for tuning the LCs. At the same time, the RF field remains laterally confined, enabling the possibility to lay several antennas in parallel and achieve 2D beam scanning. The design is validated by simulation employing the actual properties of a commercial LC medium

    Analog Photonics Computing for Information Processing, Inference and Optimisation

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    This review presents an overview of the current state-of-the-art in photonics computing, which leverages photons, photons coupled with matter, and optics-related technologies for effective and efficient computational purposes. It covers the history and development of photonics computing and modern analogue computing platforms and architectures, focusing on optimization tasks and neural network implementations. The authors examine special-purpose optimizers, mathematical descriptions of photonics optimizers, and their various interconnections. Disparate applications are discussed, including direct encoding, logistics, finance, phase retrieval, machine learning, neural networks, probabilistic graphical models, and image processing, among many others. The main directions of technological advancement and associated challenges in photonics computing are explored, along with an assessment of its efficiency. Finally, the paper discusses prospects and the field of optical quantum computing, providing insights into the potential applications of this technology.Comment: Invited submission by Journal of Advanced Quantum Technologies; accepted version 5/06/202

    Proceedings of the 2nd 4TU/14UAS Research Day on Digitalization of the Built Environment

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    Numerical modeling for groundwater protection in the Venetian plain between the Brenta and Piave Rivers

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    The Ph.D. project tackled the scientific challenges that a water utility company in the northeast of Italy, Alto Trevigiano Servizi, must face in the elaboration of the Water Safety Plan (WSP), which is the most effective preventive tool to ensure good quality water and consumers health protection. The WSPs guidelines were defined by the World Health Organization and were subsequently implemented in a European Directive and Italian law. The thesis, after an introduction on the scientifical issues, started with the description of the work done to reproduce in CATHY the model that the PhD student Tommaso Trentin built using the software FeFlow. The study area has an extension of around 900 km2 and is delimited to the north-east by the Piave river, to the west side by a flow line parallel to the Brenta river, while the southern boundary is closed by the Risorgive area, and the North boundary by the Montello and colli Asolani. The north part is characterized by an undifferentiated aquifer, while the southern part hosts a multilayer system with 8 confined aquifers. Some modifications, e.g., the mesh refining, the sensitivity analysis, were implemented in the model to try to improve its performance. Also, the soil conductivity of the shallowest soil layer (1 m) was changed following the indications of Carta della permeabilità dei suoli from ARPAV site and the boundary conditions of the norther part of the domain were better defined. Before the calibration step, the initial mesh that hosts the multilayers systems of 8 aquitards and 8 aquifers was cut at the bottom of the first unconfined aquifer. This allowed to speed up the calibration and focus on the aquifer directly influenced by the atmospheric boundary conditions and subject to recharge variability. The calibration was performed alternating FePESt and CATHY. FePEST, having already implemented the PEST algorithm, allowed to easily implement the pilot points method that in CATHY would have require too much time. Both the bottom of the unconfined aquifer and the hydraulic conductivity field were calibrated. The improvement in terms of RMSE was relevant, the errors being reduced to 1/3. Once the calibrated model was obtained, also a validation step was performed. The resulting model allowed us to investigate an irrigation variation scenario, planned in compliance with the European directive indication, to save water: currently a large area of the domain is interested by flood irrigation considered no more sustainable, since it requires a large amount of water. The scenario considered a switch to sprinkler irrigation only. The results show a slight groundwater head decrease in the wells located in the area affected by the irrigation technique conversion. This result was confirmed by the difference of the total cumulative recharge over the domain in case of sprinkler and flood irrigation and sprinkler irrigation only. The model seems to be not particularly affected by the irrigation modification but more sensitive to the hydraulic conductivity values: a map of the mean distribution of the recharge shows that the larger fraction of the recharge occurs where hydraulic conductivity is larger. Parallelly to the continuation of this project, also a study on the analysis of numerical dispersion affecting CATHY model was carry out. This study will be useful for future simulations on vulnerability to contaminations that require an accurate solute transport modeling. Due to lack of time it was not possible to investigate the contaminants transport phenomenon in the area of study to accurately define the wells’ head protection areas, important part of the WSPs, but the preliminary results obtained from the model we built can be considered a good starting point for future transport studies.The Ph.D. project tackled the scientific challenges that a water utility company in the northeast of Italy, Alto Trevigiano Servizi, must face in the elaboration of the Water Safety Plan (WSP), which is the most effective preventive tool to ensure good quality water and consumers health protection. The WSPs guidelines were defined by the World Health Organization and were subsequently implemented in a European Directive and Italian law. The thesis, after an introduction on the scientifical issues, started with the description of the work done to reproduce in CATHY the model that the PhD student Tommaso Trentin built using the software FeFlow. The study area has an extension of around 900 km2 and is delimited to the north-east by the Piave river, to the west side by a flow line parallel to the Brenta river, while the southern boundary is closed by the Risorgive area, and the North boundary by the Montello and colli Asolani. The north part is characterized by an undifferentiated aquifer, while the southern part hosts a multilayer system with 8 confined aquifers. Some modifications, e.g., the mesh refining, the sensitivity analysis, were implemented in the model to try to improve its performance. Also, the soil conductivity of the shallowest soil layer (1 m) was changed following the indications of Carta della permeabilità dei suoli from ARPAV site and the boundary conditions of the norther part of the domain were better defined. Before the calibration step, the initial mesh that hosts the multilayers systems of 8 aquitards and 8 aquifers was cut at the bottom of the first unconfined aquifer. This allowed to speed up the calibration and focus on the aquifer directly influenced by the atmospheric boundary conditions and subject to recharge variability. The calibration was performed alternating FePESt and CATHY. FePEST, having already implemented the PEST algorithm, allowed to easily implement the pilot points method that in CATHY would have require too much time. Both the bottom of the unconfined aquifer and the hydraulic conductivity field were calibrated. The improvement in terms of RMSE was relevant, the errors being reduced to 1/3. Once the calibrated model was obtained, also a validation step was performed. The resulting model allowed us to investigate an irrigation variation scenario, planned in compliance with the European directive indication, to save water: currently a large area of the domain is interested by flood irrigation considered no more sustainable, since it requires a large amount of water. The scenario considered a switch to sprinkler irrigation only. The results show a slight groundwater head decrease in the wells located in the area affected by the irrigation technique conversion. This result was confirmed by the difference of the total cumulative recharge over the domain in case of sprinkler and flood irrigation and sprinkler irrigation only. The model seems to be not particularly affected by the irrigation modification but more sensitive to the hydraulic conductivity values: a map of the mean distribution of the recharge shows that the larger fraction of the recharge occurs where hydraulic conductivity is larger. Parallelly to the continuation of this project, also a study on the analysis of numerical dispersion affecting CATHY model was carry out. This study will be useful for future simulations on vulnerability to contaminations that require an accurate solute transport modeling. Due to lack of time it was not possible to investigate the contaminants transport phenomenon in the area of study to accurately define the wells’ head protection areas, important part of the WSPs, but the preliminary results obtained from the model we built can be considered a good starting point for future transport studies

    University of Windsor Graduate Calendar 2023 Spring

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    https://scholar.uwindsor.ca/universitywindsorgraduatecalendars/1027/thumbnail.jp

    Resilient and Scalable Forwarding for Software-Defined Networks with P4-Programmable Switches

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    Traditional networking devices support only fixed features and limited configurability. Network softwarization leverages programmable software and hardware platforms to remove those limitations. In this context the concept of programmable data planes allows directly to program the packet processing pipeline of networking devices and create custom control plane algorithms. This flexibility enables the design of novel networking mechanisms where the status quo struggles to meet high demands of next-generation networks like 5G, Internet of Things, cloud computing, and industry 4.0. P4 is the most popular technology to implement programmable data planes. However, programmable data planes, and in particular, the P4 technology, emerged only recently. Thus, P4 support for some well-established networking concepts is still lacking and several issues remain unsolved due to the different characteristics of programmable data planes in comparison to traditional networking. The research of this thesis focuses on two open issues of programmable data planes. First, it develops resilient and efficient forwarding mechanisms for the P4 data plane as there are no satisfying state of the art best practices yet. Second, it enables BIER in high-performance P4 data planes. BIER is a novel, scalable, and efficient transport mechanism for IP multicast traffic which has only very limited support of high-performance forwarding platforms yet. The main results of this thesis are published as 8 peer-reviewed and one post-publication peer-reviewed publication. The results cover the development of suitable resilience mechanisms for P4 data planes, the development and implementation of resilient BIER forwarding in P4, and the extensive evaluations of all developed and implemented mechanisms. Furthermore, the results contain a comprehensive P4 literature study. Two more peer-reviewed papers contain additional content that is not directly related to the main results. They implement congestion avoidance mechanisms in P4 and develop a scheduling concept to find cost-optimized load schedules based on day-ahead forecasts
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