Robert Paasch

TL;DR: In this article, the authors assessed and characterized the substantial wave energy resource of the US Pacific Northwest (i.e., off the coasts of Washington, Oregon and N. California) and found that the sea states with the greatest significant wave heights contribute little to the annual energy, but are critically important when considering reliability and survivability of ocean wave energy converters.

TL;DR: The SeaBeavI project as discussed by the authors was an interdisciplinary effort bringing together researchers from electrical, mechanical, and ocean engineering to develop the taut-moored dual-body wave energy converter concept with the detailed design focused on production and ease of maintenance.

TL;DR: A computer vision approach to automated rapid-throughput taxonomic identification of stonefly larvae by evaluating this classification methodology on a task of discriminating among four stonefly taxa, two of which, Calineuria and Doroneuria, are difficult even for experts to discriminate.

TL;DR: BugID is the first system of its kind that allows users to select thresholds for rejection depending on the required use, and has several advantages over other automated insect classification systems, including automated handling of specimens, the able to isolate nontarget and novel species, and the ability to identify specimens across different stages of larval development.

TL;DR: In this article, the authors present a comprehensive power takeoff analysis program conducted as a collaborative research effort between Columbia Power Technologies, Inc., Oregon State University (OSU), and the U.S. Navy.