Index Catalog // ScholarsArchive@OSU

Creator:: Rowe, Shawn, Riggio, Mariapaola, De Amicis, Raffaele, and Rowe, Susan R.
Abstract:: This paper discusses elementary, and secondary (K-12) teachers’ perceptions of cross-reality (XR) tools for data visualization and use of sensor data from the built environment in classroom curricula. Our objective was to explore the use of sensor-informed XR in the built environment and civil engineering (BECE) field to support K-12...
Resource Type:: Article
Full Text:: is on-going at Oregon State University (“Living Lab @ Peavy Hall”) resulting in the development of

Creator:: Pham, Tuan, Jones, Julia A., Metoyer, Ronald, Swanson, Frederick, and Pabst, Robert
Abstract:: Long-term ecological data are crucial in helping ecologists understand ecosystem function and environmental change. Nevertheless, these kinds of data sets are difficult to analyze because they are usually large, multivariate, and spatiotemporal. Although existing analysis tools such as statistical methods and spreadsheet software permit rigorous tests of pre-conceived hypotheses and...
Resource Type:: Article
Full Text:: . That is, the length of each bar is scaled according to l(x) ¼ jxj/jxMAXj where jxj denotes the number

Creator:: Aghasi, Allreza, Ral, Arun, and Xla, Yusen
Abstract:: Given the abundance of images related to operations that are being captured and stored, it behooves firms to innovate systems using image processing to improve operational performance that refers to any activity that can save labor cost. In this paper, we use deep learning techniques, combined with classic image/signal processing...
Resource Type:: Article

Creator:: Illán, Javier Gutiérrez, Thomas, Chris D., Jones, Julia A., Wong, Weng-Keen, Shirley, Susan M., and Betts, Matthew G.
Abstract:: Predicting biodiversity responses to climate change remains a difficult challenge, especially in climatically complex regions where precipitation is a limiting factor. Though statistical climatic envelope models are frequently used to project future scenarios for species distributions under climate change, these models are rarely tested using empirical data. We used long-term...
Resource Type:: Article

ScholarsArchive@OSU