Index Catalog // ScholarsArchive@OSU

Flexible dual TCP/UDP streaming for H.264 HD video over WLANs

Creator:: Zhao, Jing
Abstract:: High Definition video streaming over WLANs faces many challenges because video data requires not only data integrity but also frames have strict playout deadline. Traditional streaming methods that rely solely on either UDP or TCP have difficulties meeting both requirements because UDP incurs packet loss while TCP incurs delay. This...
Resource Type:: Masters Thesis
Full Text:: Title: Flexible Dual TCP/UDP Streaming for H.264 HD Video Over WLANs Abstract approved: Ben Lee

Towards Long Short Term Memory Based Proactive In-Network Caching for Cloud RANs

Creator:: Tirupathi, Chittibabu
Abstract:: The rapid population growth in large urban cities has led to an unprecedented increase in both the number and the diversity of wireless devices and applications with varying quality of service requirements in terms of latency and data rates. LinkNYC is an example of an urban communication network infrastructure, which...
Resource Type:: Masters Thesis
Full Text:: , Prof. Ben lee, Prof. Rakesh Bobba and Prof. Margaret Louise Niess, who were involved in the validation

Towards Deep Learning Model Portability for Domain-Agnostic Device Fingerprinting

Creator:: Gaskin, Jared
Abstract:: In recent years, RF (Radio Frequency) device fingerprinting using deep learning has emerged as a method of identifying devices solely by their RF transmissions. Conventional approaches to this type of device fingerprinting are not portable to different domains. That is, if a model for this purpose is trained on data...
Resource Type:: Masters Thesis

On the domain generalizability of RF fingerprints through multifractal dimension representation

Creator:: Johnson, Benjamin
Abstract:: RF data-driven device fingerprinting through the use of deep learning has recently surfaced as a possible method for secure device identification and authentication. Traditional approaches are commonly susceptible to the domain adaptation problem where a model trained on data from one domain performs badly when tested on data from a...
Resource Type:: Masters Thesis
Full Text:: thesis committee: Dr. Mike Bailey, Dr. Ben Lee, and Dr. William Warnes for their enthusiasm with the

A case for application-based linear transformers : applied towards text-to-spectrogram

Creator:: Agostinelli, Victor
Abstract:: Various natural language processing (NLP) tasks necessitate deep models that are fast, efficient, and small based on their ultimate application at the edge or elsewhere. While significant investigation has furthered the efficiency and reduced the size of these models, reducing their downstream latency without significant trade-offs remains a difficult task....
Resource Type:: Masters Thesis

Multi-dimensional parametric estimation: two-dimensional sharpening by predictive bandwidth extrapolation and fast algorithms for three dimensional autoregressive estimation

Creator:: Liew, Ji Seok
Abstract:: Achieving sharpened (enhanced detail) features of a multi-dimensional data source using the linear prediction (LP) bandwidth extrapolation (BWE) technique in the transform domain is the main objective of this research. The evolution of sensor technology has provided acquisition scenarios in which the data format is inherently multi-dimensional, including hyperspectral imaging...
Resource Type:: Dissertation
Full Text:: my thesis committee Professor Ben Lee, Huaping Liu and Luca Lucchese for their helpful feedback

Advances in side-channel cryptanalysis : microarchitectural attacks

Creator:: Aciiçmez, Onur
Abstract:: Cryptographic devices leak timing and power consumption information that is easily measurable, radiation of various levels, and more. Such devices also have additional inputs, other than plaintext and keys, like voltage, which can be modified to force the device to produce certain faulty outputs that can be used to reveal...
Resource Type:: Dissertation
Full Text:: formed a basis for this thesis. I also thank Dr. Bella Bose, Dr. Timothy Budd, Dr. Ben Lee, Dr. Lien

Methods to improve the reliability and resiliency of near/sub-threshold digital circuits

Creator:: Crop, Joseph A.
Abstract:: Energy consumption is one of the primary bottlenecks to both large and small scale modern compute platforms. Reducing the operating voltage of digital circuits to voltages where the supply voltage is near or below the threshold of the transistors has recently gained attention as a method to reduce the energy...
Resource Type:: Dissertation

Random dopants and low-frequency noise reduction in deep-submicron MOSFET technology

Creator:: Miller, Drake A.
Abstract:: The future of mixed-signal, memory, and microprocessor technologies are dependent on ever increasing analog and digital integration, higher cell densities, and demand for more processing power. As a result MOSFET device dimensions continue to shrink to meet these demands. A side effect of device scaling is increased variability at each...
Resource Type:: Dissertation

Data acquisition techniques for next generation wireless sensor networks

Creator:: Ehsan, Samina
Abstract:: The meteoric rise and prevalent usage of wireless networking technologies for mobile communication applications have captured the attention of media and imagination of public in the recent decade. One such proliferation is experienced in Wireless Sensor Networks (WSNs), where multimedia enabled elements are fused with integrated sensors to empower tightly...
Resource Type:: Dissertation
Full Text:: thanks to my qualifying and dissertation committee Professors - Dr. Ben Lee, Dr. Glencorra Boradaile, Dr

ScholarsArchive@OSU

Flexible dual TCP/UDP streaming for H.264 HD video over WLANs

Towards Long Short Term Memory Based Proactive In-Network Caching for Cloud RANs

Towards Deep Learning Model Portability for Domain-Agnostic Device Fingerprinting

On the domain generalizability of RF fingerprints through multifractal dimension representation

A case for application-based linear transformers : applied towards text-to-spectrogram

Multi-dimensional parametric estimation: two-dimensional sharpening by predictive bandwidth extrapolation and fast algorithms for three dimensional autoregressive estimation

Advances in side-channel cryptanalysis : microarchitectural attacks

Methods to improve the reliability and resiliency of near/sub-threshold digital circuits

Random dopants and low-frequency noise reduction in deep-submicron MOSFET technology

Data acquisition techniques for next generation wireless sensor networks

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