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 28 for “"network hardware"”.
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Inference neural network hardware acceleration techniques
A number of recent researches focus on designing accelerators for popular deep learning algorithms. Most of these algorithms heavily involve matrix multiplication. As a result, building a neural processing unit (NPU) beside the CPU to accelerate matrix multiplication is a popular approach. The NPU …
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Energy-Efficient Neural Network Hardware Design and Circuit Techniques to Enhance Hardware Security
Artificial intelligence (AI) algorithms and hardware are being developed at a rapid pace for emerging applications such as self-driving cars, speech/image/video recognition, deep learning, etc. Today’s AI tasks are mostly performed at remote datacenters, while in the future, more AI workloads are …
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The influence of protocol choice on network performance
Computer communication networks are a vital link in providing many of the services that we use daily, and our reliance on these networks is on the increase. The growing use of networks is driving network design towards greater performance. The greater need for network connectivity and increased …
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Sinew : a system for improving the efficiency of wireless networks
Wireless data networks are widespread and growing quickly. As their use increases, many wireless networks are becoming congested. In addition, as wireless data capability moves into ever-smaller devices, power becomes a significant issue. This thesis presents a system that increases network …
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Advanced threat hunting over software-defined networks in smart cities
The emergence of Software-Defined Networking (SDN) has brought along a wave of new technologies and developments in the field of networking with hopes of dealing with network resources more efficiently and providing a foundation of programmability. SDN allows for both flexibility and adaptability …
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Design, modeling, and simulation of a Compact Optoelectronic Neural Coprocessor
… Substantial research has focused on using neural network algorithms to process this type of data with much success. Most of this effort, however, has resulted in sophisticated neural network-based software algorithms rather than physical neural network hardware. Consequently, most neural …
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Web-based network management configuration for the Indonesian Eastern Fleet Wide Area Network
… presents a model of an integrated wide area network using web-based network management to support fleet operations of the Indonesian Eastern Fleet. It surveys possibilities for improving the Indonesian Eastern Fleet's computer communications network systems to provide a fast, reliable, and …
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Direct Photon Differential Cross Section in p̄p Collisions at the Square Root of s = 1.8 TeV
… of the Central Preradiator Chambers, the neural network hardware trigger upgrades, and the six times increase in integrated luminosity. Two different methods, conversion method and profile method, were used to separate prompt photons from photons produced by decay of hadrons. The profile method …
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A Deep Learning and Signal Processing Architecture Using Frequency-Encoded RF Photonics
Deep neural networks have become ubiquitous due to their ability to perform arbitrary tasks more accurately than manually-crafted systems. This ability has created a substantial demand for more complex models processing larger amounts of data. However, the traditional computing architecture has …
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SENSING COVERAGE AND RESOURCE ALLOCATION ALGORITHMS IN SENSOR NETWORKS
Sensor network has emerged as one of the hottest research areas recently. It has a wide range of applications; namely, security sensing in military defense systems, environment monitoring, manufacturing surveillance, human healthcare monitoring, etc. In this project, we investigate two scenarios of …
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Autonomous Navigation of a Ground Vehicle to Optimize Communication Link Quality
… operation. In such a dynamic environment, the network must be able maintain communication by adapting to subsystems moving relative to each other. A theoretical and experimental foundation is developed that allows an autonomous ground vehicle to serve as an adaptive communication node in a …
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Adaptive Routing Using SDN and NFV
… multimedia applications. Due to ever-increasing network traffic, it is challenging for ISPs to accomplish optimal network conditions. To achieve high-quality services implementation of network monitoring and QoS routing algorithm is inevitable. Also, several modifications occur while network …
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Sneak-peek: high speed covert channels in data center networks
… in severity. In this thesis, we present a novel network-based covert channel that can arise in the context of shared network resources in data-center environments even in the presence of network monitors regulating flow destinations with NAC policies and VLAN-based isolation mechanisms. Through a …
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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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Scoop : an adaptive indexing scheme for stored data in sensor networks
… by nodes in a bandwidth-constrained sensor network. Sensor networks allow remote environments to be monitored at very fine levels of granularity; often such monitoring deployments generate large amounts of data which may be impractical to collect due to bandwidth limitations, but which can …
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Exploring eBPF Capabilities with Hardware Acceleration on FPGAs for High-Performance Networking
As networked systems increasingly demand lower latency and higher throughput, driven by trends such as cloud computing, real-time analytics, and high-frequency trading, FPGA-based solutions offer a powerful way to offload and accelerate data processing. Their reconfigurability, parallelism, and …
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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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The development and optimisation of a low cost optical chemical sensing platform
With recent improvements in wireless sensor network hardware it is logical there should be a concurrent push to develop the sensors that are compatible in terms of price and performance. Wireless sensor networks are made up of a multitude of low power sensing nodes and are typically deployed in a …
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Improving the performance and reliability of mobile applications
… Mobile apps run across a wide range of network, hardware, location, and usage conditions that are hard for developers to emulate or even anticipate during lab testing. Hence, app failures and performance problems are common in the wild. Scarce resources, shift away from familiar …
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Autonomous energy efficient protocols and strategies for wireless sensor networks
… this research is to develop a model of a sensor network that will endeavour to monitor a hostile environment (one where communication within the network is difficult and the network entities are under risk due to physical damage). In this context, the study identifies the following key …
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