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Now showing items 41-50 of 124
Assessing Nitrogen Contamination Potential via Remote Sensing
(North Dakota State University, 2002)
A remote sensing-based cropland layer (CDL) was included in a group of natural and anthropogenic factors to assess the potential for nitrogen contamination of groundwater in Dickey County, North Dakota. The CDL, produced ...
Agricultural and Biosystems Engineering Capstone Course Evolution at North Dakota State University
(American Society of Agricultural and Biological EngineersAmerican Society of Agricultural EngineersNorth Dakota State University, 2005)
The approach to the department's capstone design course has changed considerably since the 1960s. The general evolution of the course has proceeded from extended laboratory exercises to individuals working on self-defined ...
Evaluating the Effects of Workshops and Consultations on the ETD Review Process
(2019)
In Fall 2014 North Dakota State University began holding ETD workshops and individual formatting consultations in an effort to reduce negative student experiences with the Graduate School's ETD format review, such as ...
Literature Review of Socioeconomic and Environmental Impacts of High-Speed Rail in the World
(2021)
Countries considering high-speed rail (HSR) developments face enormous challenges because of their high deployment cost, environmental obstacles, political opposition, and their potentially adverse effects on society. ...
Applying Unsupervised Machine Learning to Counterterrorism
(2022)
To advance the agenda in counterterrorism, this work demonstrates how analysts can combine unsupervised machine learning, exploratory data analysis, and statistical tests to discover features associated with different ...
Review of Usage of Real-World Connected Vehicle Data
(2020)
GPS loggers and cameras aboard connected vehicles can produce vast amounts of data. Analysts can mine such data to decipher patterns in vehicle trajectories and driver–vehicle interactions. Ability to process such large-scale ...
Characterizing Ride Quality With a Composite Roughness Index
(2022)
There are many important applications that require ride quality characterization. However, the only international standard that specifies a roughness index is not suitable for applications beyond assessing the ride quality ...
Detecting Sources of Ride Roughness by Ensemble Connected Vehicle Signals
(2022)
It is expensive and impractical to scale existing methods of road condition monitoring for more frequent and network-wide coverage. Consequently, defects that increase ride roughness or can cause accidents will go undetected. ...
Signal Feature Extraction and Combination to Enhance the Detection and Localization of Railroad Track Irregularities
(2020)
Tracks are critical and expensive railroad asset, requiring frequent maintenance. The stress from heavy car axle loads increases the risk of deviations from uniform track geometry. Irregularities in track geometry, such ...
Closed Form Models to Assess Railroad Technology Investments
(2020)
Class I railroads in North America collectively invested $11.2 billion to comply with a federal mandate to deploy positive train control. This amount dwarfs the potential savings from accidents the technology could prevent. ...