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 11 of 11 for “"Embedded Hardware"”.
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Embedded hardware architecture for multi-parameter physiological signal monitoring
… power, and real-time performance constraints in hardware platforms. This thesis focuses on achieving balanced and efficient hardware-based solutions for health monitoring techniques that provide reasonably accurate abnormal event detection results but at the same time are cost-effective from the …
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Neural Network Reduction for Efficient Execution on Edge Devices
… be trained and executed within resource limited embedded systems. To reduce the resources needed to execute neural networks, weight reduction is often the first target. A network that has been significantly pruned can be executed on-chip, that is, in low SWaP hardware. But, this does not enable …
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Environment Mapping in Larger Spaces
… part is data collection and data fusion using embedded hardware, the second part is data processing (segmentation) and the third part is creating a geometry mesh of the environment. The developed system was evaluated against its ability to determine the dimension of the room and of objects …
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Near-field wireless power transfer and communication system design for corneal intraocular prosthetic device
… the needed power and data exchange with the embedded parts while minimizing potential health complications from surgically inserted cables and bulky embedded hardware.
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Lightweight Cryptography for Internet of Things (IoT): Ascon-based Authentication Efficiency and Performance Analysis on STM32 Microcontroller
… performance and energy efficiency in low-power embedded nodes. This thesis presents the implementation and evaluation of Ascon-AEAD128, the NIST-standard lightweight authenticated encryption program for IoT authentication on an STM32 microcontroller platform. The proposed design implements a …
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Distributed adaptive control methods for uncertain multiagent systems with coupled dynamics
… counterparts as they can be directly executed on embedded hardware without the need for discretization. Yet, because of the difficulty of ensuring Lyapunov difference expressions, their designs, which are based on quadratic Lyapunov-based frameworks, are highly complex. As a result, various …
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Rapid Prototyping of an FPGA-Based Video Processing System
… solutions for real-time video processing. As hardware designs typically are more time consuming than equivalent software designs, this thesis proposes a rapid prototyping flow for FPGA-based video processing system design by taking advantage of the use of high performance AXI interface and a …
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An energy-efficient hardware system for robust and reliable heart rate monitoring
… algorithm or the efficiency of the underlying hardware. This thesis proposes a robust and reliable heart rate monitoring system (RRHMS), in which both algorithm accuracy and hardware efficiency are considered. As a result, algorithmic optimizations are exploited to enable further hardware …
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Enhancing the Automotive E/E Architecture Utilising Container-Based Electronic Control Units
… with the advent of computing technology and embedded systems, such as Electronic Control Units (ECUs), cars have moved from solely mechanical control to predominantly digital control. Whilst improvements have been realised in terms of passenger safety and vehicle efficiency, there are several …
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Maximizing efficiency of solar energy harvesting systems supplying a microgrid using an embedded system
… of energy withdrawn from the PV panel using an embedded system. For this purpose, the model of the PV panel is first studied in accordance with the real behavior of the PV panel. The single diode model of the PV panel is first developed in Matlab environment to obtain an excellent correspondence …
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Intelligent Flight Control Systems Using Adaptive Deep Neural Networks and Concurrent Learning-Based Design Methods
… law.</p> <p>The third contribution presents a hardware implementation and experimental validation of a concurrent learning (CL)-based adaptive control system for online parameter estimation on a nonlinear pendulum testbed. Classical adaptive control methods rely on persistence of excitation …