Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Civil and Environmental Engineering (121)
- Mechanical Engineering (107)
- Geological Engineering (100)
- Mining Engineering (91)
- Materials Science and Engineering (83)
-
- Electrical and Computer Engineering (80)
- Biomedical Engineering and Bioengineering (52)
- Physical Sciences and Mathematics (33)
- Chemical Engineering (25)
- Computer Sciences (19)
- Life Sciences (8)
- Biology (7)
- Computer Engineering (6)
- Social and Behavioral Sciences (6)
- Chemistry (5)
- Medicine and Health Sciences (4)
- Physics (4)
- Engineering Science and Materials (3)
- Transportation Engineering (3)
- Engineering Mechanics (2)
- Mathematics (2)
- Atmospheric Sciences (1)
- Biomedical (1)
- Business (1)
- Ceramic Materials (1)
- Chemicals and Drugs (1)
- Civil Engineering (1)
- Computational Engineering (1)
- Construction Engineering and Management (1)
- Keyword
-
- Department of Civil, Environmental, and Geospatial Engineering (120)
- Department of Mechanical Engineering-Engineering Mechanics (105)
- Department of Geological and Mining Engineering and Sciences (104)
- Department of Electrical and Computer Engineering (83)
- Department of Materials Science and Engineering (82)
-
- Department of Biomedical Engineering (52)
- Department of Chemical Engineering (25)
- Additive manufacturing (18)
- Open hardware (18)
- Open source (16)
- 3-D printing (14)
- COVID-19 (11)
- Department of Applied Computing (10)
- Deep learning (9)
- Distributed manufacturing (9)
- Medical hardware (9)
- RepRap (9)
- 3D printing (8)
- Microgrid (8)
- Recycling (8)
- Department of Biological Sciences (7)
- Department of Social Sciences (7)
- Asphalt mixture (6)
- Circular economy (6)
- Climate change (6)
- Great Lakes Research Center (6)
- Pandemic (6)
- Photovoltaic (6)
- Remote sensing (6)
- Center for Cyber-Physical Systems (5)
- Publication Year
Articles 481 - 496 of 496
Full-Text Articles in Engineering
Ethane, Ethyne And Carbon Monoxide Concentrations In The Upper Troposphere And Lower Stratosphere From Ace And Geos-Chem: A Comparison Study, G. González Abad, N. D.C. Allen, P. F. Bernath, C. D. Boone, S. D. Mcleod, G. L. Manney, G. C. Toon, C. Carouge, Y. Wang, Shiliang Wu, X
Ethane, Ethyne And Carbon Monoxide Concentrations In The Upper Troposphere And Lower Stratosphere From Ace And Geos-Chem: A Comparison Study, G. González Abad, N. D.C. Allen, P. F. Bernath, C. D. Boone, S. D. Mcleod, G. L. Manney, G. C. Toon, C. Carouge, Y. Wang, Shiliang Wu, X
Michigan Tech Publications
Near global upper tropospheric concentrations of carbon monoxide (CO), ethane (C2H6) and ethyne (C2H2) from ACE (Atmospheric Chemistry Experiment) Fourier transform spectrometer on board the Canadian satellite SCISAT-1 are presented and compared with the output from the Chemical Transport Model (CTM) GEOS-Chem. The retrievals of ethane and ethyne from ACE have been improved for this paper by using new sets of microwindows compared with those for previous versions of ACE data. With the improved ethyne retrieval we have been able to produce a near global upper tropospheric distribution of C2H2 from space. Carbon monoxide, ethane and ethyne concentrations retrieved using …
Opportunistic Validation Of Sulfur Dioxide In The Sarychev Peak Volcanic Eruption Cloud, S. Carn, T. M. Lopez
Opportunistic Validation Of Sulfur Dioxide In The Sarychev Peak Volcanic Eruption Cloud, S. Carn, T. M. Lopez
Michigan Tech Publications
We report attempted validation of Ozone Monitoring Instrument (OMI) sulfur dioxide (SO 2) retrievals in the stratospheric volcanic cloud from Sarychev Peak (Kurile Islands) in June 2009, through opportunistic deployment of a ground-based ultraviolet (UV) spectrometer (FLYSPEC) as the volcanic cloud drifted over central Alaska. The volcanic cloud altitude (∼12-14 km) was constrained using coincident CALIPSO lidar observations. By invoking some assumptions about the spatial distribution of SO 2, we derive averages of FLYSPEC vertical SO 2 columns for comparison with OMI SO 2 measurements. Despite limited data, we find minimum OMI-FLYSPEC differences within measurement uncertainties, which support the validity …
Sulphur Dioxide As A Volcanic Ash Proxy During The April-May 2010 Eruption Of Eyjafjallajökull Volcano, Iceland, H. E. Thomas, A. J. Prata
Sulphur Dioxide As A Volcanic Ash Proxy During The April-May 2010 Eruption Of Eyjafjallajökull Volcano, Iceland, H. E. Thomas, A. J. Prata
Michigan Tech Publications
The volcanic ash cloud from the eruption of Eyjafjallajökull volcano in April and May 2010 resulted in unprecedented disruption to air traffic in Western Europe causing significant financial losses and highlighting the importance of efficient volcanic cloud monitoring. The feasibility of using SO2 as a tracer for the ash released during the eruption is investigated here through comparison of ash retrievals from the Spinning Enhanced Visible and Infrared Imager (SEVIRI) with SO2 measurements from a number of infrared and ultraviolet satellite-based sensors. Results demonstrate that the eruption can be divided into an initial ash-rich phase, a lower intensity middle phase …
Chemical Sensor Resolution Requirements For Near-Surface Measurements Of Turbulent Fluxes, M. D. Rowe, C. W. Fairall, J. A. Perlinger, J. A. Perlinger
Chemical Sensor Resolution Requirements For Near-Surface Measurements Of Turbulent Fluxes, M. D. Rowe, C. W. Fairall, J. A. Perlinger, J. A. Perlinger
Michigan Tech Publications
Businger and Delany (1990) presented an approach to estimate the sensor resolution required to limit the contribution of the uncertainty in the chemical concentration measurement to uncertainty in the flux measurement to 10 % for eddy covariance, gradient, and relaxed eddy accumulation flux measurement methods. We describe an improvement to their approach to estimate required sensor resolution for the covariance method, and include disjunct eddy covariance. In addition, we provide data to support selection of a form for the dimensionless scalar standard deviation similarity function based on observations of the variance of water vapor fluctuations from recent field experiments. We …
Impacts Of Future Climate Change And Effects Of Biogenic Emissions On Surface Ozone And Particulate Matter Concentrations In The United States, Y. F. Lam, J. S. Fu, S. Wu, L. J. Mickley
Impacts Of Future Climate Change And Effects Of Biogenic Emissions On Surface Ozone And Particulate Matter Concentrations In The United States, Y. F. Lam, J. S. Fu, S. Wu, L. J. Mickley
Michigan Tech Publications
Simulations of present and future average regional ozone and PM 2.5 concentrations over the United States were performed to investigate the potential impacts of global climate change and emissions on regional air quality using CMAQ. Various emissions and climate conditions with different biogenic emissions and domain resolutions were implemented to study the sensitivity of future air quality trends from the impacts of changing biogenic emissions. A comparison of GEOS-Chem and CMAQ was performed to investigate the effect of downscaling on the prediction of future air quality trends. For ozone, the impacts of global climate change are relatively smaller when compared …
Determination Of Time-And Height-Resolved Volcanic Ash Emissions And Their Use For Quantitative Ash Dispersion Modeling: The 2010 Eyjafjallajökull Eruption, A. Stohl, A. J. Prata, S. Eckhardt, L. Clarisse, A. Durant, S. Henne, N. I. Kristiansen, A. Minikin, U. Schumann, P. Seibert, K. Stebel, H. E. Thomas, T. Thorsteinsson, K. Tørseth, B. Weinzierl
Determination Of Time-And Height-Resolved Volcanic Ash Emissions And Their Use For Quantitative Ash Dispersion Modeling: The 2010 Eyjafjallajökull Eruption, A. Stohl, A. J. Prata, S. Eckhardt, L. Clarisse, A. Durant, S. Henne, N. I. Kristiansen, A. Minikin, U. Schumann, P. Seibert, K. Stebel, H. E. Thomas, T. Thorsteinsson, K. Tørseth, B. Weinzierl
Michigan Tech Publications
The Aprilg-May, 2010 volcanic eruptions of Eyjafjallajökull, Iceland caused significant economic and social disruption in Europe whilst state of the art measurements and ash dispersion forecasts were heavily criticized by the aviation industry. Here we demonstrate for the first time that large improvements can be made in quantitative predictions of the fate of volcanic ash emissions, by using an inversion scheme that couples a priori source information and the output of a Lagrangian dispersion model with satellite data to estimate the volcanic ash source strength as a function of altitude and time. From the inversion, we obtain a total fine …
Information Theory In Scientific Visualization, Chaoli Wang, Han-Wei Shen
Information Theory In Scientific Visualization, Chaoli Wang, Han-Wei Shen
Michigan Tech Publications
In recent years, there is an emerging direction that leverages information theory to solve many challenging problems in scientific data analysis and visualization. In this article, we review the key concepts in information theory, discuss how the principles of information theory can be useful for visualization, and provide specific examples to draw connections between data communication and data visualization in terms of how information can be measured quantitatively. As the amount of digital data available to us increases at an astounding speed, the goal of this article is to introduce the interested readers to this new direction of data analysis …
Anti-Neuroblastoma Activity Of Gold Nanorods Bound With Gd2 Monoclonal Antibody Under Near-Infrared Laser Irradiation, Ching-An Peng, Chung-Hao Wang
Anti-Neuroblastoma Activity Of Gold Nanorods Bound With Gd2 Monoclonal Antibody Under Near-Infrared Laser Irradiation, Ching-An Peng, Chung-Hao Wang
Michigan Tech Publications
High-risk neuroblastoma is one of the most common deaths in pediatric oncology. Current treatment of this disease involves a coordinated sequence of chemotherapy, surgery, and radiation. Further advances in therapy will require the targeting of tumor cells in a more selective and efficient way so that survival can be improved without substantially increasing toxicity. To achieve tumor-selective delivery, disialoganglioside (GD2) expressed by almost all neuroblastoma tumors represents a potential molecular target that can be exploited for tumor-selective delivery. In this study, GD2 monoclonal antibody (anti-GD2) was conjugated to gold nanorods (GNRs) which are one of anisotropic nanomaterials that can absorb …
Optimization Strategy For Resonant Mass Sensor Design In The Presence Of Squeeze Film Damping, Chengzhang Li, Michele H. Miller
Optimization Strategy For Resonant Mass Sensor Design In The Presence Of Squeeze Film Damping, Chengzhang Li, Michele H. Miller
Michigan Tech Publications
This paper investigates the design optimization of an electrostatically actuated microcantilever resonator that operates in air. The nonlinear effects of electrostatic actuation and air damping make the structural dynamics modeling more complex. There is a need for an efficient way to simulate the system behavior so that the design can be more readily optimized. This paper describes an efficient analytical approach for determining the optimum design for a microcantilever resonant mass sensor. One simple case is described. The sensor design is a square plate that is coated with a functional polymer and attached to the substrate with folded leg springs. …
Quantum Capacitance Extraction For Carbon Nanotube Interconnects, Vidur Parkash, Ashok K. Goel
Quantum Capacitance Extraction For Carbon Nanotube Interconnects, Vidur Parkash, Ashok K. Goel
Michigan Tech Publications
Electrical transport in metallic carbon nanotubes, especially the ones with diameters of the order of a few nanometers can be best described using the Tomanaga Luttinger liquid (TL) model. Recently, the TL model has been used to create a convenient transmission line like phenomenological model for carbon nanotubes. In this paper, we have characterized metallic nanotubes based on that model, quantifying the quantum capacitances of individual metallic single walled carbon nanotubes and crystalline bundles of single walled tubes of different diameters. Our calculations show that the quantum capacitances for both individual tubes and the bundles show a weak dependence on …
Source Attribution And Interannual Variability Of Arctic Pollution In Spring Constrained By Aircraft (Arctas, Arcpac) And Satellite (Airs) Observations Of Carbon Monoxide, J. A. Fisher, D. J. Jacob, M. T. Purdy, M. Kopacz, P. Le Sager, Shiliang Wu, Et. Al.
Source Attribution And Interannual Variability Of Arctic Pollution In Spring Constrained By Aircraft (Arctas, Arcpac) And Satellite (Airs) Observations Of Carbon Monoxide, J. A. Fisher, D. J. Jacob, M. T. Purdy, M. Kopacz, P. Le Sager, Shiliang Wu, Et. Al.
Michigan Tech Publications
We use aircraft observations of carbon monoxide (CO) from the NASA ARCTAS and NOAA ARCPAC campaigns in April 2008 together with multiyear (2003–2008) CO satellite data from the AIRS instrument and a global chemical transport model (GEOS-Chem) to better understand the sources, transport, and interannual variability of pollution in the Arctic in spring. Model simulation of the aircraft data gives best estimates of CO emissions in April 2008 of 26 Tg month−1 for Asian anthropogenic, 9.4 for European anthropogenic, 4.1 for North American anthropogenic, 15 for Russian biomass burning (anomalously large that year), and 23 for Southeast Asian biomass burning. …
Technical Note: A New Method For The Lagrangian Tracking Of Pollution Plumes From Source To Receptor Using Gridded Model Output, R. C. Owen, R. E. Honrath
Technical Note: A New Method For The Lagrangian Tracking Of Pollution Plumes From Source To Receptor Using Gridded Model Output, R. C. Owen, R. E. Honrath
Michigan Tech Publications
Lagrangian particle dispersion models (LPDMs) are powerful and popular tools used for the analysis of atmospheric trace gas measurements. However, it can be difficult to determine the transport pathway of emissions from their source to a receptor using the standard gridded model output, particularly during complex meteorological scenarios. In this paper we present a method to clearly and easily identify the pathway taken by only those emissions that arrive at a receptor at a particular time, by combining the standard gridded output from forward (e.g., concentration) and backward (e.g., residence time) LPDM simulations. By comparing the pathway determined from this …
Implantable Biosensors For Real-Time Strain And Pressure Monitoring, Ee Lim Tan, Brandon D. Pereles, Brock Horton, Ranyuan Shao, Mohammed Zourob, Keat Ghee Ong
Implantable Biosensors For Real-Time Strain And Pressure Monitoring, Ee Lim Tan, Brandon D. Pereles, Brock Horton, Ranyuan Shao, Mohammed Zourob, Keat Ghee Ong
Michigan Tech Publications
Implantable biosensors were developed for real-time monitoring of pressure and strain in the human body. The sensors, which are wireless and passive, consisted of a soft magnetic material and a permanent magnet. When exposed to a low frequency AC magnetic field, the soft magnetic material generated secondary magnetic fields that also included the higher-order harmonic modes. Parameters of interest were determined by measuring the changes in the pattern of these higher-order harmonic fields, which was achieved by changing the intensity of a DC magnetic field generated by a permanent magnet. The DC magnetic field, or the biasing field, was altered …
A Wireless, Passive Sensor For Quantifying Packaged Food Quality, Ee Lim Tan, Wen Ni Ng, Ranyuan Shao, Brandon D. Pereles, Keat Ghee Ong
A Wireless, Passive Sensor For Quantifying Packaged Food Quality, Ee Lim Tan, Wen Ni Ng, Ranyuan Shao, Brandon D. Pereles, Keat Ghee Ong
Michigan Tech Publications
This paper describes the fabrication of a wireless, passive sensor based on aninductive-capacitive resonant circuit, and its application for in situ monitoring of thequality of dry, packaged food such as cereals, and fried and baked snacks. The sensor ismade of a planar inductor and capacitor printed on a paper substrate. To monitor foodquality, the sensor is embedded inside the food package by adhering it to the package’sinner wall; its response is remotely detected through a coil connected to a sensor reader. Asfood quality degrades due to increasing humidity inside the package, the paper substrateabsorbs water vapor, changing the capacitor’s capacitance …
An Overview Of Snow Photochemistry: Evidence, Mechanisms And Impacts, A. M. Grannas, A. E. Jones, J. Dibb, M. Ammann, C. Anastasio, H. J. Beine, M. Bergin, J. Bottenheim, C. S. Boxe, G. Carver, G. Chen, J. H. Crawford, F. Dominé, R. E. Honrath, Et. Al.
An Overview Of Snow Photochemistry: Evidence, Mechanisms And Impacts, A. M. Grannas, A. E. Jones, J. Dibb, M. Ammann, C. Anastasio, H. J. Beine, M. Bergin, J. Bottenheim, C. S. Boxe, G. Carver, G. Chen, J. H. Crawford, F. Dominé, R. E. Honrath, Et. Al.
Michigan Tech Publications
It has been shown that sunlit snow and ice plays an important role in processing atmospheric species. Photochemical production of a variety of chemicals has recently been reported to occur in snow/ice and the release of these photochemically generated species may significantly impact the chemistry of the overlying atmosphere. Nitrogen oxide and oxidant precursor fluxes have been measured in a number of snow covered environments, where in some cases the emissions significantly impact the overlying boundary layer. For example, photochemical ozone production (such as that occurring in polluted mid-latitudes) of 3-4 ppbv/day has been observed at South Pole, due to …
Evaluation Of Artificial Intelligence Based Models For Chemical Biodegradability Prediction, James R. Baker, Dragan Gamberger, James R. Mihelcic, Aleksandar Sabljic
Evaluation Of Artificial Intelligence Based Models For Chemical Biodegradability Prediction, James R. Baker, Dragan Gamberger, James R. Mihelcic, Aleksandar Sabljic
Michigan Tech Publications
This study presents a review of biodegradability modeling efforts including a detailed assessment of two models developed using an artificial intelligence based methodology. Validation results for these models using an independent, quality reviewed database, demonstrate that the models perform well when compared to another commonly used biodegradability model, against the same data. The ability of models induced by an artificial intelligence methodology to accommodate complex interactions in detailed systems, and the demonstrated reliability of the approach evaluated by this study, indicate that the methodology may have application in broadening the scope of biodegradability models. Given adequate data for biodegradability of …