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Articles 1141 - 1170 of 3541
Full-Text Articles in Entire DC Network
Astronaut-Acquired Photography Of Earth: Its History And Continued Applicability In Quantitative Analyses, Jennifer Gebelein
Astronaut-Acquired Photography Of Earth: Its History And Continued Applicability In Quantitative Analyses, Jennifer Gebelein
Online Journal of Space Communication
Aerial and satellite photography has been used extensively in many different research efforts, for example, atmospheric studies, vegetation analysis, and change detection. Archives of historical aerial and satellite photography are a valuable resource to the science community.
There is currently an archive of over 450,000 photographs of Earth taken by United States astronauts dating back to the early 1960's. This archive covers the majority of the Earth's surface and offers imagery taken by a variety of camera configurations including film and digital, various lenses, different look angles, and changing solar illuminance. There is extensive repeat coverage over many regions of …
Pattern Of Forest Regeneration In Celaque National Park, Honduras, Alexis Aguilar
Pattern Of Forest Regeneration In Celaque National Park, Honduras, Alexis Aguilar
Online Journal of Space Communication
n/s
Web-Based Remote Sensing Applications And Java Tools For Environmental Monitoring, M. H. Tsou, L. Guo, D. Stow
Web-Based Remote Sensing Applications And Java Tools For Environmental Monitoring, M. H. Tsou, L. Guo, D. Stow
Online Journal of Space Communication
This paper introduces a web-based remote sensing application which can provide advanced image comparison and processing functions for natural habitat conservation and environmental monitoring. This project is one of several NASA Affiliated Research Center (ARC) projects being developed at San Diego State University in response to NASA's Earth Science Enterprise (ESE) Focus Area program. This project utilized Java programming and commercial Internet Map Server technology to provide integrated web-based analytical capabilities to regional government agencies and park services.
A prototype website (http://map.sdsu.edu/arc) was established to demonstrate the on-line analytical functions and potential operational applications for environmental monitoring and …
Neighborhood Pattern Recognition From Mailing Information: Links With Satellite Imagery, Victor Mesev
Neighborhood Pattern Recognition From Mailing Information: Links With Satellite Imagery, Victor Mesev
Online Journal of Space Communication
The notorious difficulties of sensing urban areas remotely have traditionally limited accuracy and thematic detail to coarse generalizations. With the advent of very high spatial resolution satellite imagery comes the opportunity to generate much finer scale inventories of the geography of cities. However, urban reconstruction from imagery is still limited to the classification of physical land covers; and land use still, on the whole, is inferred from the spectral composition of land covers. What is needed to improve urban image pattern recognition and classification accuracy is for GIS to keep pace with the demand for finer spatial resolution ancillary data …
Introduction To Hyperspectral Image Analysis, Peg Shippert
Introduction To Hyperspectral Image Analysis, Peg Shippert
Online Journal of Space Communication
The most significant recent breakthrough in remote sensing has been the development of hyperspectral sensors and software to analyze the resulting image data. Fifteen years ago only spectral remote sensing experts had access to hyperspectral images or software tools to take advantage of such images. Over the past decade hyperspectral image analysis has matured into one of the most powerful and fastest growing technologies in the field of remote sensing.
The "hyper" in hyperspectral means "over" as in "too many" and refers to the large number of measured wavelength bands. Hyperspectral images are spectrally overdetermined, which means that they provide …
Spectrometry And Hyperspectral Remote Sensing Of Urban Road Infrastructure, Martin Herold, Margaret E. Gardner, Val Noronha, Dar A. Roberts
Spectrometry And Hyperspectral Remote Sensing Of Urban Road Infrastructure, Martin Herold, Margaret E. Gardner, Val Noronha, Dar A. Roberts
Online Journal of Space Communication
Based on a comprehensive regional spectral library from spectrometer ground measurements and high-resolution hyperspectral AVIRIS data, this research investigates generic spectral characteristics, and related mapping capabilities and limitations for extracting roads of various types, delineating road centerlines, and surveying pavement quality within the urban environment. The methods are generally successful in identifying roads and road pavement types, but inaccuracies arise from spectral similarities between asphalt surfaces and specific roofing materials. Findings indicate that it is possible to spectrally characterize and estimate age of pavement and a few specific asphalt surface quality parameters (e.g. raveling). Finally, this research argues that the …
Introduction To Remote Sensing: Online Resources, Hugh Bloemer, Dale Quattrochi
Introduction To Remote Sensing: Online Resources, Hugh Bloemer, Dale Quattrochi
Online Journal of Space Communication
Several quite useful online resources have been developed throughout the world. Below are links to some of these online Remote Sensing resources.
Ohioview: A Case Study In Progress, James K. Lein
Ohioview: A Case Study In Progress, James K. Lein
Online Journal of Space Communication
OhioView is a consortium of 10 state universities within Ohio established to promote the low-cost distribution of US Government civilian satellite data for public use. Dedicated to the goal of reducing the financial and technological barriers to use remotely sensed satellite data, OhioView has made a significant contributions to the educational, research and public use of satellite imagery through a continuing program of focused and applied land cover studies, expanded university level teaching, and public and private outreach and training. A grassroots organization formed in 1996 by its member universities, OhioView's mission is to develop remote sensing applications, create educational …
Issue 3: From The Guest Editors, Hugh Bloemer, Dale Quattrochi
Issue 3: From The Guest Editors, Hugh Bloemer, Dale Quattrochi
Online Journal of Space Communication
What is Remote Sensing?
Impact Assessment, Detection, And Mitigation Of False Data Attacks In Electrical Power Systems, Sagnik Basumallik
Impact Assessment, Detection, And Mitigation Of False Data Attacks In Electrical Power Systems, Sagnik Basumallik
Dissertations - ALL
The global energy market has seen a massive increase in investment and capital flow in the last few decades. This has completely transformed the way power grids operate - legacy systems are now being replaced by advanced smart grid infrastructures that attest to better connectivity and increased reliability. One popular example is the extensive deployment of phasor measurement units, which is referred to PMUs, that constantly provide time-synchronized phasor measurements at a high resolution compared to conventional meters. This enables system operators to monitor in real-time the vast electrical network spanning thousands of miles. However, a targeted cyber attack on …
Impact Assessment, Detection, And Mitigation Of False Data Attacks In Electrical Power Systems, Sagnik Basumallik
Impact Assessment, Detection, And Mitigation Of False Data Attacks In Electrical Power Systems, Sagnik Basumallik
Dissertations - ALL
The global energy market has seen a massive increase in investment and capital flow in the last few decades. This has completely transformed the way power grids operate - legacy systems are now being replaced by advanced smart grid infrastructures that attest to better connectivity and increased reliability. One popular example is the extensive deployment of phasor measurement units, which is referred to PMUs, that constantly provide time-synchronized phasor measurements at a high resolution compared to conventional meters. This enables system operators to monitor in real-time the vast electrical network spanning thousands of miles. However, a targeted cyber attack on …
Thermochemistry Of Combustion In Polyvinyl Alcohol + Hydroxylammonium Nitrate, James K. Baird, Robert A. Frederick Jr.
Thermochemistry Of Combustion In Polyvinyl Alcohol + Hydroxylammonium Nitrate, James K. Baird, Robert A. Frederick Jr.
PRC-Affiliated Research
A mixture of polyvinyl alcohol (PVA) and hydroxylammoniun nitrate (HAN) forms a gummy solid known as a plastisol, which is ionically conducting. When an electrostatic potential of 200 V DC is applied across the plastisol, it ignites. Combustion ceases upon removal of the applied voltage. The products of PVA + HAN combustion are known to include the molecular gases carbon monoxide, carbon dioxide, water, nitrogen, and hydrogen. When the electric field within the plastisol is spatially uniform, combustion occurs preferentially at the anode. The fact that HAN is an ionic conductor suggests that the mechanism of combustion is electrolytic in …
Thermochemistry Of Combustion In Polyvinyl Alcohol + Hydroxylammonium Nitrate, James K. Baird, Robert A. Frederick Jr.
Thermochemistry Of Combustion In Polyvinyl Alcohol + Hydroxylammonium Nitrate, James K. Baird, Robert A. Frederick Jr.
PRC-Affiliated Research
A mixture of polyvinyl alcohol (PVA) and hydroxylammoniun nitrate (HAN) forms a gummy solid known as a plastisol, which is ionically conducting. When an electrostatic potential of 200 V DC is applied across the plastisol, it ignites. Combustion ceases upon removal of the applied voltage. The products of PVA + HAN combustion are known to include the molecular gases carbon monoxide, carbon dioxide, water, nitrogen, and hydrogen. When the electric field within the plastisol is spatially uniform, combustion occurs preferentially at the anode. The fact that HAN is an ionic conductor suggests that the mechanism of combustion is electrolytic in …
Using Machine Learning Methods To Predict The Movement Trajectories Of The Louisiana Black Bear, Daniel Clark, David Shaw, Armando Vela, Shane Weinstock, John Santerre, Joseph D. Clark
Using Machine Learning Methods To Predict The Movement Trajectories Of The Louisiana Black Bear, Daniel Clark, David Shaw, Armando Vela, Shane Weinstock, John Santerre, Joseph D. Clark
SMU Data Science Review
In 1992, the Louisiana black bear (Ursus americanus luteolus) was placed on the U.S. Endangered Species List. This was due to bear populations in Louisiana being small and isolated enough where their populations couldn’t intersect with other populations to grow. Interchange of individuals between subpopulations of bears in Louisiana is critical to maintain genetic diversity and avoid inbreeding effects. Utilizing GPS (Global Positioning System) data gathered from 31 radio-collared bears from 2010 through 2012, this research will investigate how bears traverse the landscape, which has implications for gene exchange. This paper will leverage machine learning tools to improve upon existing …
Silver Bow Creek/Butte Area Npl Site Butte Priority Soils Operable Unit, Pioneer Technical Services, Inc.
Silver Bow Creek/Butte Area Npl Site Butte Priority Soils Operable Unit, Pioneer Technical Services, Inc.
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
A Deep Learning Model For Predicting Covid-19 Transmission In Connecticut, Nathan Choi
A Deep Learning Model For Predicting Covid-19 Transmission In Connecticut, Nathan Choi
Honors Scholar Theses
COVID-19 has immensely impacted life as we know it, as the virus quickly spread throughout the entire world in a matter of weeks since its emergence. It has toppled economies, tested healthcare systems worldwide, and has un- fortunately taken the lives of many in the process. While extensive research has analyzed the issue on a large scale, focusing on entire countries and states, there has not been as much focus on the meso-scale, mainly compris- ing towns and cities, due to the lack of available COVID-19 data at this scale. However, in the case of countries like the United States …
Renewing The Paradigm: Simulating The Miso Region Electrical Grid Using Renewable Energy Generation With Implementation Of Long-Term Hydrogen Storage, Jackson C. Henningfield
Renewing The Paradigm: Simulating The Miso Region Electrical Grid Using Renewable Energy Generation With Implementation Of Long-Term Hydrogen Storage, Jackson C. Henningfield
Macalester Journal of Physics and Astronomy
The current electrical grid regime is not optimized to include renewable sources of power generation such as wind and solar. Electrical storage, as of now, is primarily established through the short-term generation and demand-meeting consumption leaving much of the grid susceptible to inefficiencies and power loss during natural events that leave grids out of commission. Delineating a new type of long-term storage, a hydrogen fuel cell, would ensure a reliable source of power to the masses regardless of the physical and climatic geography. The MISO region provides a perfect case study to introduce the ideas of diverse energy generation and …
Breast Cancer Detection From Histopathology Images Using Machine Learning Techniques: A Bibliometric Analysis, Shubhangi A. Joshi, Anupkumar M. Bongale Dr., Arunkumar M. Bongale Dr.
Breast Cancer Detection From Histopathology Images Using Machine Learning Techniques: A Bibliometric Analysis, Shubhangi A. Joshi, Anupkumar M. Bongale Dr., Arunkumar M. Bongale Dr.
Library Philosophy and Practice (e-journal)
Computer aided diagnosis has become upcoming area of research over past few years. With the advent of machine learning and especially deep learning techniques, the scenario of work flow management in healthcare sector is changing drastically. Artificial intelligence has shown potential in the field of breast cancer care. With datasets for machine learning frameworks getting eventually richer with time, we can definitely get newer insights in the field of breast cancer care. This will help in narrowing down the treatment range for patients and increasing patient survivability. The purpose of this study was to perform bibliometric analysis of the literature …
The Correlation Between Poverty, Water Quality, Community Health, And Education In Guatemala And Tanzania, Jessica R. Besnier
The Correlation Between Poverty, Water Quality, Community Health, And Education In Guatemala And Tanzania, Jessica R. Besnier
Senior Honors Projects, 2020-current
This paper explores the relationship between poverty, water quality, community health, and education in Tanzania and Guatemala. These metrics will allow for a thorough analysis of the relationships between the countries and will determine their impact on the other aspects in these two countries. While Guatemala and Tanzania are very different countries, they share many things in common such as inequalities among different groups, having many different groups of indigenous people, having most people living in rural areas, and are located on a coast. Also, they share similarities regarding poverty, water quality, community health, and education. By looking into these …
Unveiling Women’S Needs And Expectations As Users Of Bike Sharing Services: The H2020 Diamond Project, Andrea Gorrini, Rawad Choubassi, Federico Messa, Wafaa Saleh, Augustus Ababio-Donkor, Maria Chiara Leva, Lorraine D'Arcy, Francesco Fabbri, David Laniado, Pablo Aragon
Unveiling Women’S Needs And Expectations As Users Of Bike Sharing Services: The H2020 Diamond Project, Andrea Gorrini, Rawad Choubassi, Federico Messa, Wafaa Saleh, Augustus Ababio-Donkor, Maria Chiara Leva, Lorraine D'Arcy, Francesco Fabbri, David Laniado, Pablo Aragon
Articles
Within the objectives of the H2020 DIAMOND project, the paper investigates women’s needs and expectations as users of the bike-sharing service managed by Syndicat Mixte Autolib et Velib Métropole in the territory of Paris Region-Petite Couronne (France). The paper presents a thematic literature review focused on gender inclusion in bike-sharing schemes. The proposed methodological approach is based on (i) Geographic Information Systems for the analysis of geolocated open datasets related to land, sociodemographic and mobility characteristics of the areas surrounding each docking stations. This was aimed at identifying a short list of suitable bike-sharing docking stations, which were further characterized …
Machine Learning-Based Recognition On Crowdsourced Food Images, Aditya Kulkarni
Machine Learning-Based Recognition On Crowdsourced Food Images, Aditya Kulkarni
Honors Scholar Theses
With nearly a third of the world’s population suffering from food-induced chronic diseases such as obesity, the role of food in community health is required now more than ever. While current research underscores food proximity and density, there is a dearth in regard to its nutrition and quality. However, recent research in geospatial data collection and analysis as well as intelligent deep learning will help us study this further.
Employing the efficiency and interconnection of computer vision and geospatial technology, we want to study whether healthy food in the community is attainable. Specifically, with the help of deep learning in …
Household Income And Air Pollution At Public Schools In The United States, Katyland Facas, Kristina Wagstrom
Household Income And Air Pollution At Public Schools In The United States, Katyland Facas, Kristina Wagstrom
Honors Scholar Theses
Poor air quality at schools may negatively impact students’ academic performance.1 2 3 In this study we look at the relationship between ambient, outdoor air quality and student socioeconomic status at United States public schools. We used free and reduced lunch eligibility, as part of the USDA’s National School Lunch Program, as an indicator of household income. We focus on nitrogen dioxide (NO2), ozone (O3), and particulate matter smaller than 2.5 microns (PM2.5). We used ambient pollutant concentration estimates at census block group resolution (Kim et al.) as the outdoor air pollution concentration at each school.4 We found a positive …
A Spatial Analysis Of Supply-Demand Of Public Transportation In Jefferson County, Kentucky., Nastaran Abdoli
A Spatial Analysis Of Supply-Demand Of Public Transportation In Jefferson County, Kentucky., Nastaran Abdoli
Electronic Theses and Dissertations
Public transportation is important as it serves individuals, especially the transit-dependent population, by providing a basic mobility service to these people and all others who rely on public transportation. This research utilized estimating public transportation demand and supply to analyze the spatial patterns of public transportation in Jefferson County, Kentucky. The study focuses on the transit-dependent population, and it considers indicators of age, poverty status, vehicle ownership, and foreign-born population with less than five years residency in the United States. This study conducted a public transit supply-demand analysis to identify areas with imbalanced supply and demand in Jefferson County at …
Planning A Renewable Power System In Texas As An Introduction To Smart Power Grid, Ghaleb S. Al Duhni
Planning A Renewable Power System In Texas As An Introduction To Smart Power Grid, Ghaleb S. Al Duhni
Theses and Dissertations
Design electrical systems from six renewable energy sources: photovoltaic, wind energy, geothermal, concentrated solar energy, biomass energy, and hydropower in addition to a storage system in the state of Texas, This power system converts the electric system in Texas into a 100 % renewable energy power system. Optimization technique has applied to the results to make the system economical and reduce the wasting resources, this system is considered as decentralized as well which is a great advantage for achieving the smart grid technology compared with the conventional plants where the generation parts are deposed in a small part of the …
Neural Network For Monitoring Infant Feeding Process In The Smartbottle Device, Jiajun Guan
Neural Network For Monitoring Infant Feeding Process In The Smartbottle Device, Jiajun Guan
Master's Theses
To research the relationship between Childhood obesity and infant feeding patterns, the Electrical Engineering Department at California Polytechnic State University has designed a SmartBottle device attaching to the bottom of a baby bottle to monitor the infant feeding process. This project mainly focuses on the software and firmware design, as well as the neural network design of the SmartBottle device. The SmartBottle device is designed to identify infant feeding activities and to record related data for overweight and obesity research on children. This device includes a 6-dimensional inertial sensor that contains a 3-axis digital accelerometer and a 3-axis digital gyroscope. …
International Sustainability Trends In Construction And Potential Applications In The American Market, Dante De Mayo
International Sustainability Trends In Construction And Potential Applications In The American Market, Dante De Mayo
Construction Management
The construction industry evolves everyday as it attempts to stay up to date on current technologies, meet the needs of consumers, and take action on the ever-pressing topic of sustainability. Sustainability is one of the main ways the industry continues to advance. The United States is one of the world leaders in sustainable construction, however with limited research and restrained interest there is only so much progress that can be made when solely relying on domestic resources. By studying and collaborating with foreign construction institutions, the American construction industry has the potential to improve its sustainability performance significantly. By performing …
Application Of Eh-Ph Diagrams On Acid Leaching Systems For The Recovery Of Rees From Bastnaesite, Monazite And Xenotime, Peijia Lin, Xinbo Yang, Joshua M. Werner, Rick Q. Honaker
Application Of Eh-Ph Diagrams On Acid Leaching Systems For The Recovery Of Rees From Bastnaesite, Monazite And Xenotime, Peijia Lin, Xinbo Yang, Joshua M. Werner, Rick Q. Honaker
Mining Engineering Faculty Publications
Bastnaesite, monazite and xenotime are rare earth minerals (REMs) that are typical sources for rare earth elements (REEs). To advance the understanding of their leaching and precipitation behavior in different hydrometallurgical processes, Eh-pH diagrams were constructed and modified using the HSC 9.9 software. The aqueous stability of rare earth elements in H2O and acid leaching systems, i.e., the REE-Ligands-H2O systems, were depicted and studied based on the Eh-pH diagrams. This study considers the most relevant lixiviants, their resulting equilibrium states and the importance in the hydrometallurgical recovery of rare earth elements (REMs). A literature review was …
Challenges And Opportunities In Precision Irrigation Decision-Support Systems For Center Pivots, Jingwen Zhang, Kaiyu Guan, Bin Peng, Chongya Jiang, Wang Zhou, Yi Yang, Ming Pan, Trenton Franz, Derek M. Heeren, Daran R. Rudnick, Olufemi P. Abimbola, Hyungsuk Kimm, Kelly Caylor, Stephen Good, Madhu Khanna, John Gates, Yaping Cai
Challenges And Opportunities In Precision Irrigation Decision-Support Systems For Center Pivots, Jingwen Zhang, Kaiyu Guan, Bin Peng, Chongya Jiang, Wang Zhou, Yi Yang, Ming Pan, Trenton Franz, Derek M. Heeren, Daran R. Rudnick, Olufemi P. Abimbola, Hyungsuk Kimm, Kelly Caylor, Stephen Good, Madhu Khanna, John Gates, Yaping Cai
Department of Agricultural and Biological Systems Engineering: Faculty Publications
Irrigation is critical to sustain agricultural productivity in dry or semi-dry environments, and center pivots, due to their versatility and ruggedness, are the most widely used irrigation systems. To effectively use center pivot irrigation systems, producers require tools to support their decision-making on when and how much water to irrigate. However, currently producers make these decisions primarily based on experience and/or limited information of weather. Ineffective use of irrigation systems can lead to overuse of water resources, compromise crop productivity, and directly reduce producers’ economic return as well as bring negative impacts on environmental sustainability. In this paper, we surveyed …
Mapping Renewal: How An Unexpected Interdisciplinary Collaboration Transformed A Digital Humanities Project, Elise Tanner, Geoffrey Joseph
Mapping Renewal: How An Unexpected Interdisciplinary Collaboration Transformed A Digital Humanities Project, Elise Tanner, Geoffrey Joseph
Digital Initiatives Symposium
Funded by a National Endowment for Humanities (NEH) Humanities Collections and Reference Resources Foundations Grant, the UA Little Rock Center for Arkansas History and Culture’s “Mapping Renewal” pilot project focused on creating access to and providing spatial context to archival materials related to racial segregation and urban renewal in the city of Little Rock, Arkansas, from 1954-1989. An unplanned interdisciplinary collaboration with the UA Little Rock Arkansas Economic Development Institute (AEDI) has proven to be an invaluable partnership. One team member from each department will demonstrate the Mapping Renewal website and discuss how the collaborative process has changed and shaped …
Highly Branched Polymers Based On Poly(Amino Acid)S For Biomedical Application, Marisa Thompson, Carmen Scholz
Highly Branched Polymers Based On Poly(Amino Acid)S For Biomedical Application, Marisa Thompson, Carmen Scholz
PRC-Affiliated Research
Polymers consisting of amino acid building blocks continue to receive consideration for biomedical applications. Since poly(amino acid)s are built from natural amino acids, the same building blocks proteins are made of, they are biocompatible, biodegradable and their degradation products are metabolizable. Some amino acids display a unique asymmetrical AB2 structure, which facilitates their ability to form branched structures. This review compares the three forms of highly branched polymeric structures: structurally highly organized dendrimers, dendrigrafts and the less organized, but readily synthesizable hyperbranched polymers. Their syntheses are reviewed and compared, methods of synthesis modulations are considered and variations on their traditional …