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.
Results
Showing 1 to 20 of 20 for “"Network Processing"”.
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Towards Highly Efficient Neural Network Processing on Energy Harvesting Powered Non-Volatile Processor
… machine learning algorithms, especially neural networks, are being adapted extensively in wearable and internet-of-things (IoT) devices due to their superior performance in identification tasks. Since neural network execution usually consumes a substantial amount of energy, an intensive battery …
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In-Network Processing For Mission-Criticalwireless Networked Sensing And Control: A Real-Time, Efficiency, And Resiliency Perspective
… we consider application QoS requirements in in-network processing (INP). In this dissertation, we explore the potentials of two INP methods, packet packing and network coding, on improving network performance while satisfying application QoS requirements. We find that not only can these two …
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Compiling functional reactive macroprograms for sensor networks
Sensor networks present a number of novel programming challenges for application developers. Their inherent limitations of computational power, communication bandwidth, and energy demand new approaches to programming that shield the developer from low-level details of resource management, …
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Low-cost interrogation of optical fibre Bragg grating sensors
Through the application of novel signal processing techniques we are able to measure physical measurands with both high accuracy and low noise susceptibility. The first interrogation scheme is based upon a CCD spectrometer. We compare different algorithms for resolving the Bragg wavelength from a …
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Choice functions, dynamics, and equal representation
… the potential of being applicable in data and network processing, decision theory, and sampling. In particular, consider n linearly ordered size-one "spots" and k classes from which to fill the spots (where repetitions are allowed). Each time period, there is a shift - a new member enters the …
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Network theory analysis of ethanol self-administering nonhuman primates
Since the late 20th century, network science has gained popularity in various fields, including the field of neuroimaging. Network science utilizes concepts of graph theory to model systems as complex networks. This approach is appealing to neuroscientists as it allows for a systems level …
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Support for Accessible Bitsliced Software
… a method for accelerating software neural network processing with reduced-precision computation on highly constrained devices. To address the data transposition overhead and to support a hardware attack-resistant architecture, a custom DMA controller is introduced that efficiently …
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Parameters Characterization and Cognitive-Behavioral Effects of Transcranial Pulsed Current Stimulation
… switching task and by facilitating wide-ranging network processing as in the case of arithmetic functioning. This work also delivered an insight about the potential that tPCS has for future clinical applications.
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Energy optimization for wireless sensor networks using hierarchical routing techniques
Wireless sensor networks (WSNs) have become a popular research area that is widely gaining the attraction from both the research and the practitioner communities due to their wide area of applications. These applications include real-time sensing for audio delivery, imaging, video streaming, and …
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Energy conserving privacy enhancing algorithms for resource-constrained devices
… devices such as wireless sensor networks, body area networks, or smart phones collect confidential and sensitive information about their users. Traditional solutions to protect these data, such as encryption, consume a significant amount of resources to be viable. In this …
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Vector-thread architecture and implementation
… benchmarks, including example kernels for image processing, audio processing, text and data processing, cryptography, network processing, and wireless communication.
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BlueCache : a scalable distributed flash-based key-value store
… the legacy storage I/O stack and relatively slow network in comparison with faster flash storage. In this work, we examine an architecture of a scalable distributed flash-based key-value store to overcome these limitations. BlueCache consists of low-power hardware accelerators which directly …
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Devleopmnet of Distriubted Nueral Sysetms for Readnig in Heatlhy and Brian-Injrued Chlidren (If you can read this, you have a well-developed whole word reading system. It should read Development of Distributed Neural Systems for Reading in Healthy and Brain-Injured Children)
… right fusiform gyri participate in functional networks supporting both reading strategies by interacting with left inferior parietal regions during direct reading and inferior frontal and bilateral ventral occipital areas during decoding; however, left fusiform gyrus appears to show a relative …
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Population Coding In Laminar Cortical Circuits
… of sensory inputs is distributed across neuronal networks in cerebral cortex to influence sensory processing and behavioral performance. The fact that the structure of neuronal networks is organized according to cortical layers raises the possibility that sensory information could be processed …
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Distributed multi-scale data processing for sensor networks
Wireless sensor networks provide a challenging application area for signal processing. Sensor networks are collections of small, battery-operated devices called sensor nodes, each of which is capable of sensing data, processing data with an onboard microprocessor, and sharing data with other nodes …
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A Secure Adaptive Network Processor
Network processors are becoming a predominant feature in the field of network hardware. As new network protocols emerge and data speeds increase, contemporary general-purpose network processors are entering their second generation and academic research is being actively conducted into new …
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Quantized Consensus by the Alternating Direction Method of Multipliers: Algorithms and Applications
<p>Collaborative in-network processing is a major tenet in the fields of control, signal processing, information theory, and computer science. Agents operating in a coordinated fashion can gain greater efficiency and operational capability than those perform solo missions. In many such applications …
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Biologically plausible energy-efficient context-sensitive neural networks
… intelligence (AI), particularly in deep neural networks (DNNs), have significantly driven the demand for specialised hardware, such as GPUs and TPUs, to meet the growing computational requirements. However, this surge in computational power has led to substantial increases in energy consumption, …
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Global Energy Conservation in Large Data Networks
… (ICT): the global data- and telecommunications network, the private and commercial datacenters it supports, and the 19 billion electronic devices around the globe it interconnects, through which we communicate, and access and produce information. As bandwidth and data rates increase, so does the …
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Unifying Databases and Internet-Scale Publish/Subscribe
… portfolio monitoring), security (e.g., reporting network anomalies), etc.</p><p>Early publish/subscribe systems were based on predefined subjects (channels), and were too coarse-grained to meet the specific interests of different subscribers. The second generation of content-based …