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Full-Text Articles in Engineering

Data From: Shallow-Water Habitat In The Lower Columbia River Estuary: A Highly Altered System, Will Templeton, David Jay, Heida Diefenderfer, S. A. Talke Jun 2023

Data From: Shallow-Water Habitat In The Lower Columbia River Estuary: A Highly Altered System, Will Templeton, David Jay, Heida Diefenderfer, S. A. Talke

Civil and Environmental Engineering Faculty Datasets

This is the dataset to accompany the article, Shallow-Water Habitat in the Lower Columbia River Estuary: A Highly Altered System [Data set], accepted for publication in Estuaries and Coasts.

OVERVIEW OF THE SUPPLEMENTAL DATA FILES:

The files include water level data for 26 locations across varying time frames, as described below, and Columbia and Willamette River discharge measurements and estimates for observed, naturalized, and adjusted flows.

All water levels:

1. All water levels are reported as six-minute interpolated water level records derived from measured water levels. 2. The first column is date-time with date and time separated by a …


Data From: Warming Of The Columbia River, 1853 To 2018, Malia Hanae Scott, Stefan Talke, David Jay, Heida Diefenderfer Apr 2023

Data From: Warming Of The Columbia River, 1853 To 2018, Malia Hanae Scott, Stefan Talke, David Jay, Heida Diefenderfer

Civil and Environmental Engineering Faculty Datasets

Water temperature is a critical ecological indicator; however, few studies have statistically modeled century-scale trends in riverine or estuarine water temperature, or their cause. Here, we recover, digitize, and analyze archival temperature measurements from the 1850s onward to investigate how and why water temperatures in the lower Columbia River are changing. To infill data gaps and explore changes, we develop regression models of daily historical Columbia River water temperature using time-lagged river flow and air temperature as the independent variables. Models were developed for 3 time periods (mid-19 th , mid-20 th , and early 21 st century), using archival …


Data From: Machine Learning Predictions Of Electricity Capacity, Marcus Harris, Elizabeth Kirby, Ameeta Agrawal, Rhitabrat Pokharel, Francis Puyleart, Martin Zwick Dec 2022

Data From: Machine Learning Predictions Of Electricity Capacity, Marcus Harris, Elizabeth Kirby, Ameeta Agrawal, Rhitabrat Pokharel, Francis Puyleart, Martin Zwick

Systems Science Faculty Datasets

This research applies machine learning methods to build predictive models of Net Load Imbalance for the Resource Sufficiency Flexible Ramping Requirement in the Western Energy Imbalance Market. Several methods are used in this research, including Reconstructability Analysis, developed in the systems community, and more well-known methods such as Bayesian Networks, Support Vector Regression, and Neural Networks. The aims of the research are to identify predictive variables and obtain a new stand-alone model that improves prediction accuracy and reduces the INC (ability to increase generation) and DEC (ability to decrease generation) Resource Sufficiency Requirements for Western Energy Imbalance Market participants. This …


Managing The Economic Constraints Of Foundries And Fabless Enterprises, Charles M. Weber, Jiting Yang May 2015

Managing The Economic Constraints Of Foundries And Fabless Enterprises, Charles M. Weber, Jiting Yang

Engineering and Technology Management Faculty Publications and Presentations

This paper presents an empirically grounded model, which links organizational learning to pattern-specific fixed costs. The approach described in this paper helps fab managers make fundamental strategic decisions concerning product design and product mix by engaging in scenario planning. Four critical aspects of managing pattern-specific fixed cost are analyzed in detail – sensitivity to time, design cost and production volume; platform designs; process postponement solutions; and design penalties. The model suggests that fabless enterprises and foundries must collaborate extensively on the design and realizations of product platforms for state-of-the-art integrated circuit products to remain economically viable.