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Filtering by: Creator Irish, Robert James Remove constraint Creator: Irish, Robert James Committee Member Tadepalli, Prasad Remove constraint Committee Member: Tadepalli, Prasad Degree Level Master's Remove constraint Degree Level: Master's

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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
A Benchmarking Study of Unsupervised Anomaly Detection Algorithms

Creator:

Emmott, Andrew F.

Abstract:

It is common practice in the unsupervised anomaly detection literature to create experimental benchmarks by sampling from existing supervised learning datasets. We seek to improve this practice by identifying four dimensions important to real-world anomaly detection applications --- point difficulty, clusteredness of anomalies, relevance of features, and relative frequency of...

Resource Type:

Masters Thesis
Learning-based Control of Experimental Hybrid Fuel Cell Power Plant

Creator:

Gabler, Andrew

Abstract:

Direct red Solid Oxide Fuel Cell (SOFC) Turbine hybrid plants have the potential to dramatically increase power plant efficiency, decrease emissions, and provide fast response to transient loads. The US Department of Energy's (DOE) Hybrid Performance Project is an experimental hybrid SOFC plant, built at the National Energy Technology Laboratory...

Resource Type:

Masters Thesis
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

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Academic Affiliation

Electrical Engineering and Computer Science2
Biological and Ecological Engineering1
Mechanical, Industrial, and Manufacturing Engineering1

Advisor

Bolte, John P.1
Dietterich, Thomas G.1
Tumer, Kagan1
Wong, Weng Keen1

Commencement Year

Commencement Year range begin – Commencement Year range end

Current results range from 2014 to 2021

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Committee Member

Tadepalli, Prasad[remove]4
Bailey, Michael J.1
Borradaile, Glencora1
Grimm, Cindy1
Hollinger, Geoff1
more Committee Members »

Creator

Anderson, Michael M.1
Emmott, Andrew F.1
Gabler, Andrew1
Wingo, Patrick C.1

Date

Date range begin – Date range end

Current results range from 2013 to 2020

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Decade

2020-20291
2010-20193

Degree Field

Computer Science2
Biological and Ecological Engineering1
Robotics1

Degree Level

Master's[remove]4

Degree Name

Master of Science (M.S.)4

Language

English [eng]4

License

All rights reserved4

Non-Academic Affiliation

Oregon State University. Graduate School3

Peer Reviewed

No4

Resource Type

Masters Thesis4

Rights Statement

In Copyright4

Subject

Accelerometers -- Data processing1
Anomaly detection (Computer security)1
Benchmarking (Management)1
Context-aware computing1
Ecological Systems Theory1
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