Index Catalog // ScholarsArchive@OSU

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

Simulator-Defined MDP Planning with Applications in Natural Resource Management

Creator:: Alkaee Taleghan, Majid
Abstract:: This work is inspired by problems in natural resource management centered on the challenge of invasive species. Computing optimal management policies for maintaining ecosystem sustainable is challenging. Many ecosystem management problems can be formulated as MDP (Markov Decision Process) planning problems. In a simulator-defined MDP, the Markovian dynamics and rewards...
Resource Type:: Dissertation
Full Text:: would also like to thank Kim Hall, Professor H. Jo Albers, and Mark Crowley for their collaboration on

Scheduling and Online Planning in Stochastic Diffusion Networks

Creator:: Xue, Shan
Abstract:: Diﬀusion processes in networks are common models for many domains, including species colonization, information/idea cascade, disease propagation and ﬁre spreading. In diﬀusion networks, a diﬀusion event occurs when a behavior spreads from one node to the other following a probabilistic model, where the behavior could be species, an idea, a...
Resource Type:: Dissertation

Plasma-Jet Printing and In Situ Sintering of Electronic Materials for Flexible Hybrid Electronic Applications

Creator:: Manzi, Jacob
Abstract:: Additive manufacturing has become a promising method for the fabrication of inexpensive, green, flexible sensors and electronics. Printed electronics on low- temperature substrates are very appealing for the flexible hybrid electronics market for their use in disposable and biocompatible electronic applications and in areas like packaging, wearables, and consumer electronics....
Resource Type:: Dissertation

Machine learning methods for public policy : simulation, optimization, and visualization

Creator:: McGregor, Sean
Abstract:: Society faces many complex management problems, particularly in the area of shared public resources such as ecosystems. Existing decision making processes are often guided by personal experience and political ideology rather than state-of-the-art scientific understanding. This dissertation envisions a future in which multiple stakeholders are provided with computational tools for...
Resource Type:: Dissertation

Machine Learning Methods for Computational Sustainability

Creator:: Liu, Liping
Abstract:: Maintaining the sustainability of the earth’s ecosystems has attracted much attention as these ecosystems are facing more and more pressure from human activities. Machine learning can play an important role in promoting sustainability as a large amount of data is being collected from ecosystems. There are at least three important...
Resource Type:: Dissertation

Global Hierarchical Control of a Park of Spar Buoy-type Floating Oscillating Water Column Wave Energy Converters

Creator:: Gaebele, Daniel T.
Abstract:: Converting energy from ocean waves is a challenging area for control theory application because of the nonlinear dynamics in various time scales. Generally, wave energy converter (WEC) control is applied in order to maximize power absorption, in the most common wave conditions, and subject to the devices’ physical constraints. Commonly,...
Resource Type:: Dissertation

Domain-Independent Planning for Markov Decision Processes with Factored State and Action Spaces

Creator:: Raghavan, Aswin
Abstract:: Markov Decision Processes (MDPs) are the de-facto formalism for studying sequential decision making problems with uncertainty, ranging from classical problems such as inventory control and path planning, to more complex problems such as reservoir control under rainfall uncertainty and emergency response optimization for fire and medical emergencies. Most prior research...
Resource Type:: Dissertation
Full Text:: simple hand coded baselines, on multiple bench- mark planning problems. In a concluding case study in

Computing Resource Usage as a Factor of Student Success

Creator:: Moissinac, Béatrice
Abstract:: Learning Analytics and other branches of Educational Research such as Computing Education Research (CER) implicitly assume that students, especially college students, have no barriers to access learning platforms or software packages. This assumption may be attributed to such pervasive beliefs such as "everyone has a device", or "everyone can access...
Resource Type:: Dissertation
Full Text:: provided data and patient explanation of it: Josh Crowley, Mike Akey, Todd Shechter, Kyle Ribacchi, Keith

ScholarsArchive@OSU

Towards Deep Learning Model Portability for Domain-Agnostic Device Fingerprinting

Simulator-Defined MDP Planning with Applications in Natural Resource Management

Scheduling and Online Planning in Stochastic Diffusion Networks

Plasma-Jet Printing and In Situ Sintering of Electronic Materials for Flexible Hybrid Electronic Applications

Machine learning methods for public policy : simulation, optimization, and visualization

Machine Learning Methods for Computational Sustainability

Global Hierarchical Control of a Park of Spar Buoy-type Floating Oscillating Water Column Wave Energy Converters

Domain-Independent Planning for Markov Decision Processes with Factored State and Action Spaces

Computing Resource Usage as a Factor of Student Success

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