Index Catalog // ScholarsArchive@OSU

Physical activity recognition of free-living data using change-point detection algorithms and hidden Markov models

Creator:: Anderson, Michael M.
Abstract:: Physical activity recognition using accelerometer data is a rapidly emerging ﬁeld with many real-world applications. Much of the previous work in this area has assumed that the accelerometer data has already been segmented into pure activities, and the activity recognition task has been to classify these segments. In reality, activity...
Resource Type:: Masters Thesis
Full Text:: Change-Point Detection Algorithms and Hidden Markov Models AN ABSTRACT OF THE THESIS OF Michael M

OME : A Framework for Running Spatially Explicit System Dynamics Models

Creator:: Wingo, Patrick C.
Abstract:: The Open Modeling Environment (OME) is a tool developed to address some known shortcomings in ecological System Dynamics (SD) modeling research. OME provides a common set of methods for interacting directly with spatial information, reducing the need for modelers to create their own methods for doing so. The environment is...
Resource Type:: Masters Thesis

Learning MDP action models via discrete mixture trees

Creator:: Wynkoop, Michael S.
Abstract:: This thesis addresses the problem of learning dynamic Bayesian network (DBN) models to support reinforcement learning. It focuses on learning regression tree models of the conditional probability distributions of the DBNs. Existing algorithms presume that the stochasticity in the domain can be modeled as a deterministic function with additive noise....
Resource Type:: Masters Thesis
Full Text:: OF Michael S. Wynkoop for the degree of Masters of Science in Computer Science presented on June 9

D₊₊ : Structural Credit Assignment in Tightly Coupled Multiagent Domains

Creator:: Rahmattalabi, Aida
Abstract:: Autonomous multiagent teams can be used in complex exploration tasks to both expedite the exploration and improve the efficiency. However, use of multiagent systems presents additional challenges. Specifically, in domains where the agents' actions are tightly coupled, coordinating multiple agents to achieve cooperative behavior at the group level is difficult....
Resource Type:: Masters Thesis

Auxiliary Tasks for Efficient Learning of Point-Goal Navigation

Creator:: Desai, Saurabh Satish
Abstract:: Top-performing approaches to embodied AI tasks like point-goal navigation often rely on training agents via reinforcement learning over tens of millions (or even billions) of experiential steps – learning neural agents that map directly from visual observations to actions. In this work, we question whether these extreme training durations are...
Resource Type:: Masters Thesis
Full Text:: for Efficient Learning of Point-Goal Navigation Abstract approved: Stefan M. Lee Top-performing

Interactive fault localization techniques to empower the debugging efforts of end-user programmers

Creator:: Ruthruff, Joseph Ronald
Abstract:: End users develop more software than any other group of programmers, using software authoring devices such as e-mail filtering editors, by-demonstration macro builders, and spreadsheet environments. Despite this, there has been only a little research on finding ways to help these programmers with the dependability of the software they create....
Resource Type:: Masters Thesis
Full Text:: : Margaret M. Burnett End users develop more software than any other group of programmers, using software

Adversarial planning by strategy switching in a real-time strategy game

Creator:: King, Brian D.
Abstract:: We consider the problem of strategic adversarial planning in a Real-Time Strategy (RTS) game. Strategic adversarial planning is the generation of a network of high-level tasks to satisfy goals while anticipating an adversary's actions. In this thesis we describe an abstract state and action space used for planning in an...
Resource Type:: Masters Thesis
Full Text:: , t,K) = N,M∑ i,j (θ1pi,j + θ2tj + θ3Ki,1 + ...+ θ2+kKi,k)xi,j Let opponent capacity Cj be the

Scale effects on reinforced concrete beams strengthened for shear with discrete externally bonded carbon fiber-reinforced polymer U-wraps

Creator:: Dawson, Matthew Ryan
Abstract:: Current ACI design provisions for shear in reinforced concrete (RC) beams strengthened with externally bonded carbon fiber-reinforced polymer (CFRP) U-wraps may not adequately account for the effect of scale. This paper describes tests of 6 geometrically scaled beams to identify possible scale effects of such beams. Results indicated that effective...
Resource Type:: Masters Thesis
Full Text:: discussing the findings of this research: O. Murat Hamutcuoglu, Daniel A. Howell, Carl C. Koester, Mikal M

UCT for tactical assault battles in real-time strategy games

Creator:: Balla, Radha-Krishna
Abstract:: We consider the problem of tactical assault planning in real-time strategy games where a team of friendly agents must launch an assault on an enemy. This problem offers many challenges including a highly dynamic and uncertain environment, multiple agents, durative actions, numeric attributes, and different optimization objectives. While the dynamics...
Resource Type:: Masters Thesis
Full Text:: instantaneous effects, whereas actions in the RTS domain are simultaneous and durative. Michael Chung et al

An Investigation on Nanoscale-shape-mediated Coupling Between Temperature and Densification in Intense Pulsed Light Sintering of Silver Nanoparticles

Creator:: Bansal, Shalu
Abstract:: In Intense Pulsed Light (IPL) sintering, pulsed large-area visible light from a xenon lamp is absorbed by nanoparticle films or patterns and converted to heat, resulting in rapid sintering of the nanoparticles. This work experimentally characterizes IPL sintering of silver nanoparticle films. A newly observed turning point in the evolution...
Resource Type:: Masters Thesis
Full Text:: out this research. I would like to thank my colleagues especially Will, Hank, Roshan and Michael at

ScholarsArchive@OSU

Physical activity recognition of free-living data using change-point detection algorithms and hidden Markov models

OME : A Framework for Running Spatially Explicit System Dynamics Models

Learning MDP action models via discrete mixture trees

D₊₊ : Structural Credit Assignment in Tightly Coupled Multiagent Domains

Auxiliary Tasks for Efficient Learning of Point-Goal Navigation

Interactive fault localization techniques to empower the debugging efforts of end-user programmers

Adversarial planning by strategy switching in a real-time strategy game

Scale effects on reinforced concrete beams strengthened for shear with discrete externally bonded carbon fiber-reinforced polymer U-wraps

UCT for tactical assault battles in real-time strategy games

An Investigation on Nanoscale-shape-mediated Coupling Between Temperature and Densification in Intense Pulsed Light Sintering of Silver Nanoparticles

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