Open Access. Powered by Scholars. Published by Universities.®
- Keyword
-
- Crystallography -- Study and teaching (Higher) (2)
- Crystallography Open Database (COD) (2)
- Open access databases (2)
- Three-dimensional printing -- Applications in crystallography (2)
- Acoustic arrays (1)
-
- Acoustic signal processing (1)
- Air -- Pollution -- Health aspects -- Oregon -- Portland (1)
- Atmospheric aerosols -- Mathematical models (1)
- Automobiles -- Motors -- Exhaust gas -- Health aspects -- Oregon -- Portland (1)
- Bayesian statistical decision theory (1)
- Covariance matrices (1)
- Crystals -- Morphology (1)
- Crystals -- Structure (1)
- Cyclists -- Health and hygiene -- Oregon -- Portland (1)
- Eigenvectors (1)
- Emissions -- Anthropogenic (1)
- Energy consumption (1)
- Evolutionary computation (1)
- Heat flux (1)
- Hydrocarbons (1)
- Hydrology -- Data processing (1)
- Neural networks (Computer science) -- Design and construction (1)
- Nitrates -- Environmental aspects (1)
- Regression analysis (1)
- Sonar arrays (1)
- Streamflow -- Forecasting (1)
- Three-dimensional printing (1)
- Volatile organic compounds -- Oxidation (1)
- Water quality -- Mathematical models (1)
- Publication
-
- Civil and Environmental Engineering Faculty Publications and Presentations (3)
- Physics Faculty Publications and Presentations (3)
- Computer Science Faculty Publications and Presentations (1)
- Electrical and Computer Engineering Faculty Publications and Presentations (1)
- Mechanical and Materials Engineering Faculty Publications and Presentations (1)
Articles 1 - 9 of 9
Full-Text Articles in Engineering
A Regression Approach For Estimation Of Anthropogenic Heat Flux Based On A Bottom-Up Air Pollutant Emission Database, Sanghyun Lee, Stuart A. Mckeen, David J. Sailor
A Regression Approach For Estimation Of Anthropogenic Heat Flux Based On A Bottom-Up Air Pollutant Emission Database, Sanghyun Lee, Stuart A. Mckeen, David J. Sailor
Mechanical and Materials Engineering Faculty Publications and Presentations
A statistical regression method is presented for estimating hourly anthropogenic heat flux (AHF) using an anthropogenic pollutant emission inventory for use in mesoscale meteorological and air-quality modeling. Based on bottom-up AHF estimated from detailed energy consumption data and anthropogenic pollutant emissions of carbon monoxide (CO) and nitrogen oxides (NOx) in the US National Emission Inventory year 2005 (NEI-2005), a robust regression relation between the AHF and the pollutant emissions is obtained for Houston. This relation is a combination of two power functions (Y = aXb) relating CO and NOx emissions to AHF, giving a determinant …
Secondary Organic Aerosol Formation And Organic Nitrate Yield From No3 Oxidation Of Biogenic Hydrocarbons, Juliane L. Fry, Danielle C. Draper, Kelley C. Barsanti, James N. Smith, John Ortega, Paul M. Winkler, Michael J. Lawler, Steven S. Brown, Peter M. Edwards, Ronald C. Cohen, Lance Lee
Secondary Organic Aerosol Formation And Organic Nitrate Yield From No3 Oxidation Of Biogenic Hydrocarbons, Juliane L. Fry, Danielle C. Draper, Kelley C. Barsanti, James N. Smith, John Ortega, Paul M. Winkler, Michael J. Lawler, Steven S. Brown, Peter M. Edwards, Ronald C. Cohen, Lance Lee
Civil and Environmental Engineering Faculty Publications and Presentations
The secondary organic aerosol (SOA) mass yields from NO3 oxidation of a series of biogenic volatile organic compounds (BVOCs), consisting of five monoterpenes and one sesquiterpene (α-pinene, β-pinene, Δ-3-carene, limonene, sabinene, and β-caryophyllene), were investigated in a series of continuous flow experiments in a 10 m3 indoor Teflon chamber. By making in situ measurements of the nitrate radical and employing a kinetics box model, we generate time-dependent yield curves as a function of reacted BVOC. SOA yields varied dramatically among the different BVOCs, from zero for α-pinene to 38−65% for Δ-3-carene and 86% for β-caryophyllene at mass loading of 10 …
Toward A Reliable Prediction Of Seasonal Forecast Uncertainty: Addressing Model And Initial Condition Uncertainty With Ensemble Data Assimilation And Sequential Bayesian Combination, Caleb Matthew Dechant, Hamid Moradkhani
Toward A Reliable Prediction Of Seasonal Forecast Uncertainty: Addressing Model And Initial Condition Uncertainty With Ensemble Data Assimilation And Sequential Bayesian Combination, Caleb Matthew Dechant, Hamid Moradkhani
Civil and Environmental Engineering Faculty Publications and Presentations
Uncertainties are an unfortunate yet inevitable part of any forecasting system. Within the context of seasonal hydrologic predictions, these uncertainties can be attributed to three causes: imperfect characterization of initial conditions, an incomplete knowledge of future climate and errors within computational models. This study proposes a method to account for all threes sources of uncertainty, providing a framework to reduce uncertainty and accurately convey persistent predictive uncertainty. In currently available forecast products, only a partial accounting of uncertainty is performed, with the focus primarily on meteorological forcing. For example, the Ensemble Streamflow Prediction (ESP) technique uses meteorological climatology to estimate …
An Eigenvector-Based Test For Local Stationarity Applied To Array Processing, Jorge Quijano, Lisa M. Zurk
An Eigenvector-Based Test For Local Stationarity Applied To Array Processing, Jorge Quijano, Lisa M. Zurk
Electrical and Computer Engineering Faculty Publications and Presentations
In sonar array processing, a challenging problem is the estimation of the data covariance matrix in the presence of moving targets in the water column, since the time interval of data local stationarity is limited. This work describes an eigenvector-based method for proper data segmentation into intervals that exhibit local stationarity, providing data-driven higher bounds for the number of snapshots available for computation of time-varying sample covariance matrices. Application of the test is illustrated with simulated data in a horizontal array for the detection of a quiet source in the presence of a loud interferer.
Bicycle Facilities And The Uptake Of Air Pollution By Active Travelers, Alexander Y. Bigazzi, Miguel A. Figliozzi, James F. Pankow, Wentai Luo, Lorne M. Isabelle
Bicycle Facilities And The Uptake Of Air Pollution By Active Travelers, Alexander Y. Bigazzi, Miguel A. Figliozzi, James F. Pankow, Wentai Luo, Lorne M. Isabelle
Civil and Environmental Engineering Faculty Publications and Presentations
Outlines the research of urban bicyclists' facilities and the uptake of air pollution by active travelers in urban Portland, OR. Outlines the research goals, beginning data collection methods, intake/uptake, modeling results, conclusions and the next steps for future work with the collected data set of direct uptake measurements.
3d Printing Of Crystallographic Models And Open Access Databases, Werner Kaminsky, Trevor J. Snyder, Peter Moeck
3d Printing Of Crystallographic Models And Open Access Databases, Werner Kaminsky, Trevor J. Snyder, Peter Moeck
Physics Faculty Publications and Presentations
Provides a brief overview of opportunities for crystallography allowed by the recent developments in 3D printing technology. in combination with open access databases.
3d Printing Of Crystallographic Models For Interdisciplinary College Education, Peter Moeck, Werner Kaminsky, Trevor J. Snyder
3d Printing Of Crystallographic Models For Interdisciplinary College Education, Peter Moeck, Werner Kaminsky, Trevor J. Snyder
Physics Faculty Publications and Presentations
Provides a brief overview of the Crystallography Open Database, and how advances in 3D printing have created opportunities in teaching of college level crystallography courses.
3d Printing & Open Access Databases For Crystallographic College Education, Peter Moeck, Jennifer Stone-Sundberg, Trevor J. Snyder, Werner Kaminsky, Saulius Grazulis, International Advisory Board Of The Crystallography Open Database
3d Printing & Open Access Databases For Crystallographic College Education, Peter Moeck, Jennifer Stone-Sundberg, Trevor J. Snyder, Werner Kaminsky, Saulius Grazulis, International Advisory Board Of The Crystallography Open Database
Physics Faculty Publications and Presentations
Presentation gives an overview of available open access databases of crystals and crystal structures, as well as discussions of how newly developed 3D printing technologies can be used to teach crystallography at the college level. Offers advice regarding conversion of crystallographic information files to 3D printing files, and shares news from the 3D printing of crystallographic models community.
A Comparative Study Of Reservoir Computing For Temporal Signal Processing, Alireza Goudarzi, Peter Banda, Matthew R. Lakin, Christof Teuscher, Darko Stefanovic
A Comparative Study Of Reservoir Computing For Temporal Signal Processing, Alireza Goudarzi, Peter Banda, Matthew R. Lakin, Christof Teuscher, Darko Stefanovic
Computer Science Faculty Publications and Presentations
Reservoir computing (RC) is a novel approach to time series prediction using recurrent neural networks. In RC, an input signal perturbs the intrinsic dynamics of a medium called a reservoir. A readout layer is then trained to reconstruct a target output from the reservoir's state. The multitude of RC architectures and evaluation metrics poses a challenge to both practitioners and theorists who study the task-solving performance and computational power of RC. In addition, in contrast to traditional computation models, the reservoir is a dynamical system in which computation and memory are inseparable, and therefore hard to analyze. Here, we compare …