Index Catalog // ScholarsArchive@OSU

A Deep Learning and Image Processing Pipeline for Object Characterization in Firm Operations

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
Full Text:: Yusen Xiac a Department of Electrical Engineering and Computer Science, Oregon State University

Investigation of the impact of insulator material on the performance of dissimilar electrode metal-insulator-metal diodes

Creator:: Alimardani, Nasir, King, Sean W., French, Benjamin L., Tan, Cheng, Lampert, Benjamin P., and Conley, John F., Jr.
Abstract:: The performance of thin film metal-insulator-metal (MIM) diodes is investigated for a variety of large and small electron affinity insulators using ultrasmooth amorphous metal as the bottom electrode. Nb2O5, Ta2 O5, ZrO2, HfO2, Al2 O3, and SiO2 amorphous insulators are deposited via atomic layer deposition (ALD). Reflection electron energy loss...
Resource Type:: Article
Full Text:: Benjamin P. Lampert,1 and John F. Conley, Jr.1,a) 1School of Electrical Engineering and Computer Science

Conduction processes in metal–insulator–metal diodes with Ta₂O₅ and Nb₂O₅ insulators deposited by atomic layer deposition

Creator:: Alimardani, Nasir, McGlone, John M., Wager, John F., and Conley, John F., Jr.
Abstract:: Metal–insulator–metal diodes with Nb₂O₅ and Ta₂O₅ insulators deposited via atomic layer deposition are investigated. For both Nb₂O₅ and Ta₂O₅, the dominant conduction process is established as Schottky emission at small biases and Frenkel–Poole emission at large biases. Fowler–Nordheim tunneling is not found to play a role in determining current versus...
Resource Type:: Article
Full Text:: Electrical Engineering and Computer Science, Oregon State University, 1148 Kelley Engineering Center

Adversarial Policy Switching with Application to RTS Games

Creator:: King, Brian, Fern, Alan, and Hostetler, Jesse
Abstract:: Complex games such as RTS games are naturally formalized as Markov games. Given a Markov game, it is often possible to hand-code or learn a set of policies that capture the diversity of possible strategies. It is also often possible to hand-code or learn an abstract simulator of the game...
Resource Type:: Conference Proceeding
Full Text:: Department of Electrical Engineering and Computer Science Oregon State University 1kingbria

Near-infrared absorption gas sensing with metal-organic framework on optical fibers

Creator:: Chong, Xinyuan, Kim, Ki-Joong, Li, Erwen, Zhang, Yujing, Ohodnicki, Paul R., Chang, Chih-Hung, and Wang, Alan X.
Abstract:: Despite significant advantages in terms of portability and cost, near-infrared (NIR) gas sensing still remains a great challenge due to its relatively weak overtone absorption from the fundamental vibrational bond absorption at the mid-IR frequency. In this paper, we demonstrated ultra-sensitive NIR gas sensing for carbon dioxide (CO₂) at 1.57...
Resource Type:: Article
Full Text:: , hih-Hung Changb, Alan X. Wanga,∗ School of Electrical Engineering and Computer Science, Oregon

Wave Energy Converter Modeling in the Frequency Domain : A Design Guide

Creator:: Bosma, Bret, Zhang, Zhe, Brekken, Ted K. A., Özkan-Haller, H. Tuba, McNatt, Cameron, and Yim, Solomon C.
Abstract:: Wave energy converter research continues to advance and new developers are continuing to emerge, leading to the need for a general modeling methodology. This work attempts to outline the design methodology necessary to perform frequency domain analysis on a generic wave energy converter. A two-body point absorber representing a generic...
Resource Type:: Conference Proceeding
Full Text:: , Solomon C. Yim College of Engineering Oregon State University Corvallis, USA Abstract—Wave

Epigenome-Guided Analysis of the Transcriptome of Plaque Macrophages during Atherosclerosis Regression Reveals Activation of the Wnt Signaling Pathway

Creator:: Ramsey, Stephen A., Vengrenyuk, Yuliya, Menon, Prashanthi, Podolsky, Irina, Feig, Jonathan E., Aderem, Alan, Fisher, Edward A., and Gold, Elizabeth S.
Abstract:: We report the first systems biology investigation of regulators controlling arterial plaque macrophage transcriptional changes in response to lipid lowering in vivo in two distinct mouse models of atherosclerosis regression. Transcriptome measurements from plaque macrophages from the Reversa mouse were integrated with measurements from an aortic transplant-based mouse model of...
Resource Type:: Article

Teacher perceptions of training and pedagogical value of cross-reality and sensor data from smart buildings

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:: Science and Engineering, Oregon State University, Corvallis, OR 97331, USA 3 School of Electrical

Precipitation and winter temperature predict long-term range-scale abundance changes in Western North American birds

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
Full Text:: State University, Corvallis, Oregon, 97331 USA 9 § School of Electrical Engineering & Computer Science

Interactive visual analysis promotes exploration of long-term ecological data

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:: of Electrical Engineering and Computer Science, Oregon State University, Corvallis, Oregon 97331 USA

ScholarsArchive@OSU

A Deep Learning and Image Processing Pipeline for Object Characterization in Firm Operations

Investigation of the impact of insulator material on the performance of dissimilar electrode metal-insulator-metal diodes

Conduction processes in metal–insulator–metal diodes with Ta₂O₅ and Nb₂O₅ insulators deposited by atomic layer deposition

Adversarial Policy Switching with Application to RTS Games

Near-infrared absorption gas sensing with metal-organic framework on optical fibers

Wave Energy Converter Modeling in the Frequency Domain : A Design Guide

Epigenome-Guided Analysis of the Transcriptome of Plaque Macrophages during Atherosclerosis Regression Reveals Activation of the Wnt Signaling Pathway

Teacher perceptions of training and pedagogical value of cross-reality and sensor data from smart buildings

Precipitation and winter temperature predict long-term range-scale abundance changes in Western North American birds

Interactive visual analysis promotes exploration of long-term ecological data

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