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 6986 for “"embedded"”.
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The Embedded American Artist
As our world ramps up the speed of its connections, our identities merge with increasing speed and angles of confluence. Not only are new identities created, but also the more fringe social and cultural elements of our world are exposed to mainstream consciousness. My work is a product of my own …
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Reliable Embedded Systems Development
… and adopt the success of Agile methods into the embedded domain as defect-reduction methods. However, limited efficient and effective tools constrain the applicability of the Agile philosophy. Moreover, little studies have been reported to summarize the current state of the Agile-inspired …
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Accelerating Embedded HOWFSC Algorithms
… of EFC by implementing adjoint-based EFC in an embedded context. We utilize functional analogs to radiation-hardened processors, using the NXP T1040 in place of the BAE RAD5545, and the NXP LS1046 in place of the LS1046-Space. We find that the FFTW library enabled a factor of six speedup for …
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An Embedded Toeplitz Problem
… to apply this relationship to define and analyze embedded Toeplitz problems. In particular, we study the embedded Toeplitz problem of the unit disk into the unit ball in C^2. The embedding of Toeplitz problems suggests a way to define Toeplitz operators over singular spaces.
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Scalable Embedded Tiny Machine Learning (SETML): A General Framework for Embedded Distributed Inference
… on such devices, this work introduces Scalable Embedded Tiny Machine Learning (SETML), a general framework for distributed machine learning inference on microcontrollers. Furthermore, the framework is designed to be compatible with sensor-based applications that can take advantage of small …
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Power modeling of embedded memories
… generation of models of the power consumption of embedded memories. Memories have a special importance among the system blocks as it is forecast that more than 90% of the area of newly developed systems will be occupied by memory within ten years. In addition to the requirements on models, like …
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Distributed dispatching for embedded generation
… and dispatching (scheduling) of small embedded generators is not currently feasible. In this work, a novel dispatching management system which may meet this requirement is proposed. Instead of using a single control centre, it distributes dispatching functions throughout the network. …
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Efficientnext: Efficientnet For Embedded Systems
Convolutional Neural Networks have come a long way since AlexNet. Each year the limits of the state of the art are being pushed to new levels. EfficientNet pushed the performance metrics to a new high and EfficientNetV2 even more so. Even so, architectures for mobile applications can benefit from …
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Cryptographic coprocessors for embedded systems
In the field of embedded systems design, coprocessors play an important role as a component to increase performance. Many embedded systems are built around a small General Purpose Processor (GPP). If the GPP cannot meet the performance requirements for a certain operation, a coprocessor can be …
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Embedded Power Active Contact Lens
<p>This thesis designed and fabricated an active contact lens that notifies the user during the detection of an external wireless signal. The lens contained a printed antenna to communicate with a 2.4GHz system and provide inductive charging operating at 13.56 MHz. The lens utilizes a CBC005 5µAh …
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Combinatorial optimization on embedded curves
… the maximum flow and minimum cuts, in surface embedded graphs. We describe approximation algorithms to compute certain similarity measures for embedded curves on a surface. Finally, we present algorithms to solve computational problems for compactly presented curves. We describe the first …
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CHERI Compartmentalisation for Embedded Systems
Embedded system designers are facing an inexorable pressure to add more features and leverage connectivity. This creates potential attack vectors in areas that were not subject to security concerns before. Individuals’ privacy could be violated, cars and planes could crash, credit-card details …
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Neural-embedded discrete choice models
… prediction accuracy. I propose two neural-embedded choice models: TasteNet-MNL and nonlinear-LCCM. Both models provide a flexible specification of taste as a function of individual characteristics. TasteNet-MNL extends the Multinomial Logit Model (MNL).
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Embedded electronics for intelligent structures
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 1991.
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Embedded Wireless Data Acquisition System
… consumption. This thesis presents development of embedded wireless system to replace wired systems. RF wireless system is developed to replace wired electrophysiology system. An infrared wireless system development is discussed to achieve higher sampling rates unachievable by RF wireless system. …
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An embedded system artefact organisation and adaptation knowledge management system for embedded system product prototyping
… management (KM) from the perspective of embedded system (ES) development, a form of development that is highly knowledge intensive and depends on specialised forms of knowledge obtained from a variety of complex knowledge artefacts. This study follows an experimental methodology that …
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Thread Scheduling in Embedded Runtime Systems
… of thread scheduler on the resource-constrained embedded run-time system. The current state-of-art priority-based scheduler heavily relies on developers deliberate tuning of the programs to achieve good performance or even correct behavior. A simple mistake in setting the scheduler parameters can …
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