Index Catalog // ScholarsArchive@OSU

Creator:: Ogden, Stephanie
Abstract:: The language of water policy both suggests and enforces the relationship that the public should have with water. Differences in language use between policy institutions and the public suggest that the understanding of water promoted through policy may be incongruent with the understanding of water held by the public. Semi-structured...
Resource Type:: Capstone Project
Full Text::   Governance?  Community Governance Affiliation  1  M  38  Yes  ADESCO, joint village water committee  2   M

Creator:: Thompson, Gloria J.
Abstract:: This capstone project is presented for completion of Oregon State University’s (OSU) Master of Natural Resources Program. This project is an expansion of the author’s research completed as part of the Water Conflict Management and Transformation Certificate and as part of the overall Master of Natural Resources Program. Located on...
Resource Type:: Capstone Project
Full Text:: 280.00 El Camino Water System Municipal 18.00 Pendleton Utilities Corp. Municipal 28.00 City of Hemphill

Creator:: Beshur, Athena D.
Abstract:: Through well designed tree placement, redundant use of simple technologies, and stewardship, trees grow. Over time, they mitigate stormwater flooding and enhance livability. This paper offers insights into precipitation patterns, and how small scale redundancy can help build the urban tree canopy. It is specifically geared toward issues in the...
Resource Type:: Capstone Project
Full Text:: ot o cr ed it: A . B es hu r 2 01 9. D at a fro m E D D I ( 20 19 ) National

Creator:: Narayanan, Vedanth
Abstract:: Smart Manufacturing (SM) is envisioned to make manufacturing processes more efficient through automation and integration of networked information systems. Robotic arms are integral to this vision. However the benefits of SM, enabled by automation and networking, also come with cyber risks. In this work, we propose an anomaly detection framework...
Resource Type:: Capstone Project
Full Text:: vector consists of m features. The training data used in this work will be elaborated on in Section V

ScholarsArchive@OSU