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Filtering by: Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science Degree Field Electrical and Computer Science Remove constraint Degree Field: Electrical and Computer Science Peer Reviewed No Remove constraint Peer Reviewed: No

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Self-Study: Conducting Studies on Yourself

Creator:

Umma Reddy, Doshna

Abstract:

As a new year approaches, most of the adults on the planet show interest to form some resolution to make their lives better [Norcross et al. 2002]. One of the ways is to change their behavior and incorporate new habits that they read about or get rid of an existing...

Resource Type:

Capstone Project
Weak-supervision : Probabilistic Models and Inference

Creator:

Pham, Anh

Abstract:

In supervised learning, label information can be provided at different levels of granularity. For small datasets, it is possible to acquire a label for each data instance. However, in the big-data regime, this fine granularity approach is prohibitively costly. For example, in semi-supervised learning, only a limited number of samples...

Resource Type:

Dissertation
Network Coding, Random Matrices, and Their Applications to Communication Systems

Creator:

Nguyen-Huu, Duong

Abstract:

In this work, we study network coding technique, its relation to random matrices, and their applications to communication systems. The dissertation consists of three main contributions. First, we propose efficient algorithms for data synchronization via a broadcast channel using random network coding. Second, we study the resiliency of network coding...

Resource Type:

Dissertation
Residential load simulation and applied load management strategies

Creator:

McArthur, Shaun

Abstract:

This work presents a residential load simulation framework that allows the user to test the effectiveness of peak reduction, peak shifting, and valley filling load management strategies on a representative residential load prior to physical smart sensor and load control deployment. The simulation methodology uses household occupancy, appliance time-of-use, and...

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Masters Thesis
Efficient RF energy scavenging and ultra-low power management for powering wireless sensor nodes

Creator:

Arumugam, Vikrant P.

Abstract:

As the demand for real-time information in engineering and health care systems keeps increasing, the need for wireless sensor nodes is also continuously increasing. As a result, the cost and effort involved in installing and maintaining batteries to power the numerous sensor nodes is growing exponentially. Providing a cost effective...

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Masters Thesis

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Academic Affiliation

Electrical Engineering and Computer Science[remove]5

Advisor

Brekken, Ted K. A.1
Fiez, Terri1
Mayaram, Kartikeya1
Nguyen, Thinh1
Raich, Raviv1

Commencement Year

Commencement Year range begin – Commencement Year range end

Current results range from 2010 to 2020

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Committee Member

Amon, Ean1
Bose, Bella1
Brekken, Ted1
Farsoni, Abi T.1
Fern, Alan1
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Creator

Arumugam, Vikrant P.1
Mcarthur, Shaun1
Nguyen Huu, Duong1
Pham, Anh1
Umma Reddy, Doshna1

Contributor

Raich, Raviv1

Date

Date range begin – Date range end

Current results range from 2009 to 2020

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Decade

2020-20291
2010-20193
2000-20091

Degree Field

Electrical and Computer Science[remove]5

Degree Level

Master's3
Doctoral2

Degree Name

Master of Science (M.S.)3
Doctor of Philosophy (Ph.D.)2

Language

English [eng]5

License

All rights reserved4

Non-Academic Affiliation

Oregon State University. Graduate School3

Peer Reviewed

No[remove]5

Resource Type

Dissertation2
Masters Thesis2
Capstone Project1

Rights Statement

In Copyright5

Subject

Coding theory1
Electric power systems — Load dispatching -- Computer simulation1
Energy conversion1
Household appliances, Electric -- Power supply -- Computer simulation1
Machine learning1
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