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Filtering by: Creator Merrifield, Matthew S. Remove constraint Creator: Merrifield, Matthew S. Degree Level Master's Remove constraint Degree Level: Master's Subject Neural networks (Computer science) Remove constraint Subject: Neural networks (Computer science)

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Using Automation to Understand Sustainable Design Trade-Offs and to Promote Environmental Sustainability in the Early Design Phase

Creator:

Wisthoff, Addison K.

Abstract:

Sustainable product design is becoming an important component of the development of consumer products. Currently there are limited design resources to aid in the creation of environmentally sustainable products. The purpose of this research is to theorize a new method for integrating sustainable design knowledge into the early design phase...

Resource Type:

Masters Thesis

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the late 1940’s, which brought forth a more materialistic society that led to the sale and purchase
Simultaneous segmentation and classification of bird song using CNN

Creator:

Narasimhan, Revathy

Abstract:

In bioacoustics, automatic animal voice detection and recognition from audio recordings is an emerging topic for animal preservation. Our research focuses on bird bioacoustics, where the goal is to segment bird syllables from the recording and predict the bird species for the syllables. Traditional methods for this task addresses the...

Resource Type:

Masters Thesis

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Lakshminarayanan, Lawrence Neal, Xiaoli Z. Fern, Raviv Raich, Sarah J.K. Hadley, Adam S. Hadley, and Matthew G
A neuro-evolutionary multiagent approach to multi-linked inverted pendulum control

Creator:

Sills, Stephen

Abstract:

Recent work has shown humanoid robots with spinal columns, instead of rigid torsos, benefit from both better balance and an increased ability to absorb external impact. Similarly, snake robots have shown promise as a viable option for exploration in confined spaces with limited human access, such as during power plant...

Resource Type:

Masters Thesis
Learning-based control and coordination of autonomous UAVs

Creator:

Bell, Adam R.

Abstract:

Uninhabited aerial vehicles, also called UAVs are currently controller by a combination of a human pilot at a remote location, and autopilot systems similar to those found on commercial aircraft. As UAVs transition from remote piloting to fully autonomous operation, control laws must be developed for the tasks to be...

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Masters Thesis

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myself long ago. I would also like to thank Dr. Kagan Tumer and Dr. Matthew Knudson for their support

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Academic Affiliation

Mechanical, Industrial, and Manufacturing Engineering3
Electrical Engineering and Computer Science1

Advisor

Tumer, Kagan2
Dupont, Bryony1
Fern, Xiaoli Z.1

Commencement Year

Commencement Year range begin – Commencement Year range end

Current results range from 2011 to 2017

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Committee Member

Barbosa, Andre2
Balasubramanian, Ravi1
Batten, Belinda1
Campbell, Matthew1
Haapala, Karl1
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Creator

Bell, Adam R.1
Narasimhan, Revathy1
Sills, Stephen1
Wisthoff, Addison K.1

Date

Date range begin – Date range end

Current results range from 2010 to 2016

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Decade

2010-20194

Degree Field

Mechanical Engineering3
Electrical and Computer Engineering1

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 School4

Peer Reviewed

No4

Resource Type

Masters Thesis4

Rights Statement

In Copyright4

Subject

Neural networks (Computer science)[remove]4
Aerial observation (Military science)1
Bioacoustics1
Birds -- Identification1
Birdsongs -- Data processing1
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