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 23 for “"Edge Device"”.
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Edge Device Speaker Verification
… systems have been built for smaller, cheaper devices which can be placed in people's homes or other edge locations. Here, we aim to demonstrate that a reasonably accurate, generalizable, text-independent speaker verification system can be built, trained, and, ultimately, deployed onto a …
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Implementation of an AI-assisted sonification algorithm on an edge device
… of an AI-assisted sonification algorithm on an edge device is presented and analyzed. A lightweight derived algorithm for resource-constrained implementation scenarios is also evaluated and presented, suggesting suitability for further ultra-low power, mobile and wearables implementations. …
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Intelligent low-complexity widely deployable diagnostic tools for wireless edge device security using machine learning
… consist of resource and energy-constrained devices employing open standards and commercial-off-the-shelf equipment. The deployments are diverse and often form essential safety and privacy-related systems, including remote patient monitoring (health-care), space exploration, smart homes and …
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Two-Dimensional Shock Sensitivity Analysis for Transonic Airfoils with Leading-edge and Trailing-edge Device Deflections
This investigation, in consideration of the sudden separation increase involved in wing drop, was to determine if the incorporated 2-D airfoil exhibits abnormal shock sensitivity. A comparative airfoil study was used to determine if this particular transonic airfoil is prone to abrupt shock …
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Design and aerodynamic analysis of an airfoil with a bioinspired leading edge device for stall mitigation at low Reynolds number operation
… or slats, from the wing leading or trailing edges are often used to extend the aerodynamic envelope. One such aerodynamic device is the Alula, a feather structure attached to one of the hand digits of a bird's wing. The alula is extended by birds at high incidence angles and has been shown to …
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Resource and data optimization for hardware implementation of deep neural networks targeting FPGA-based edge devices
… on an FPGA. Our motivation is to target embedded devices that operate as edge devices. Recently, as machine learning algorithms have become more practical, there have been much effort to implement them on devices that can be used in our daily lives. However, unlike server devices, edge devices are …
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Adaptive Effort Classifiers: A System Design For Partitioned Edge/Cloud Inference
… availability of real-world data from connected devices and the overwhelming success of Deep Neural Networks (DNNs) in many ArtificialIntelligence (AI) tasks have enabled AI-based applications and services to become commonplace across the spectrum of computing devices from edge/Internet-of-Things …
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FPGA Reservoir Computing Networks for Dynamic Spectrum Sensing
… and limited power supply of radio frequency devices limits engineers' ability to combine them with powerful predictive models. This hinders the ability to support advanced 5G applications such as device-to-device (D2D) communication and dynamic spectrum sharing (DSS). This challenge has …
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Model Compression and AutoML for Efficient Click-Through Rate Prediction
… cost. This limits their ability to run on edge devices with smaller hardwares, such as smartphones, which is a popular use case for recommender systems. We address this issue in this thesis by studying how compression of recommender system models can significantly reduce model computation …
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Performance evaluation of deep learning on smartphones
… and here to stay. It is deployed in all sorts of devices ranging from consumer electronics to Internet of Things (IoT). Such a deployment is categorized as inference at the edge. This thesis focuses on Deep Learning on one such edge device - Mobile Phone. The thesis surveys the space of Deep …
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Energy and time efficient federated learning
… the past decade, the volume of data generated by edge devices has grown exponentially as the number of edge devices surges. Federated learning (FL) enables on-device training while preserving privacy, but edge devices typically operate under tight time and energy budgets, highlighting the need for …
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Graph feature engineering and coordinate-based learning for transferable and energy-efficient artificial intelligence
… in resource-constrained environments, including edge devices and large-scale deployments, by developing lightweight, non-neural alternatives. The first contribution is the Network Feature Embedding (NFE) pipeline, which integrates diffusion-based, positional, and structural descriptors into a …
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Neural Region-of-Interest-Aware Video Compression for Wildlife Monitoring Under Edge Computing Constraints
… size, runtime analysis, and an edge device deployment study on a Jetson Nano Orin. In the main controlled study, the released DCVC-RT neural codec configuration reduced the transmitted archives from 399.16 MB of source video to 10.36 MB across the 20 held-out clips, corresponding …
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A Secure Adaptive Network Processor
… military communications equipment to consumer devices are being updated to provide network connectivity. Many of these devices require, or would benefit from, the inclusion of device security in addition to data security. Whether it is a top-secret encryption scheme that must be concealed or a …
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Hypoxic-ischemic encephalopathy grading using novel EEG signal processing and machine learning techniques
… assessments, with an implementation enabling edge-device deployment for real-world clinical utility. Representing the 1 hour epoch of the EEG signal in the amplitude and frequency domain through Mel Spectorgram representation, the HIE grading task becomes an image recognition problem, where …
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An experimental study of a leading-edge alula-inspired device (LEAD) for moderate aspect ratio wings at low Reynolds numbers
… known as Alula, located near the leading edge and covering 5% to 20% of the span, bird wings can sustain the lift necessary to fly at low velocities and high angles of attack. The proposed alula-inspired leading-edge device (LEAD) increases the capability of a wing to maintain higher …
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Resource-Efficient Collaborative Training and Inference of Foundation Models in Edge-AI
The convergence of Edge Artificial Intelligence (Edge-AI) and foundation models marks a transformative paradigm shift in the design of intelligent systems. Edge-AI enables computation to be performed closer to data sources and across distributed network edges, offering significant benefits in …
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Utility-driven optimization and placement framework for Visual IoT analytics over edge-cloud environments
… This happens in parallel with advances in Edge computing and Serverless computing. Edge computing, has emerged to allow analyzing visual IoT data closer to where it is generated, and hence avoiding sending vast amounts of visual data streams to be analyzed in one remote location. On the …
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Experience-driven Control for Networking and Computing
… approaches, which enable a network or a device to learn the best way to control itself from its own experience (e.g., runtime statistics data) rather than from accurate mathematical models, just as a human learns a new skill (e.g., driving, swimming, etc). To demonstrate the feasibility …
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Experience-driven Control For Networking And Computing
… approaches, which enable a network or a device to learn the best way to control itself from its own experience (e.g., runtime statistics data) rather than from accurate mathematical models, just as a human learns a new skill (e.g., driving, swimming, etc). To demonstrate the feasibility …
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