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Full-Text Articles in Physical Sciences and Mathematics
Randomly Generating The 3d Mesostructure Of Soil Rock Mixtures Based On The Full In Situ Digital Image Processed Information, Zhengsheng Li, Haiyang Yi, Cheng Zhu, Zhuang Zhuo, Guoshuan Liu
Randomly Generating The 3d Mesostructure Of Soil Rock Mixtures Based On The Full In Situ Digital Image Processed Information, Zhengsheng Li, Haiyang Yi, Cheng Zhu, Zhuang Zhuo, Guoshuan Liu
Henry M. Rowan College of Engineering Faculty Scholarship
Understanding the occurrence and evolution of geological disasters, such as landslides and debris flows, is facilitated by research on the performance of soil rock mixes (SRM). Recently, more and more researchers have been interested in studying the mesostructure reconstruction process of SRM. The present mesostructure generation approaches, however, have several weaknesses. One of the weaknesses is that they do not consider the impact of particle shape and therefore cannot ensure similarity to the in situ SRMs. In this study, a new mesostructure generation method that randomly generates SRMs based on the full in situ digital image processing (DIP) information is …
Development Of Software Tools For Efficient And Sustainable Process Development And Improvement, Jake P. Stengel
Development Of Software Tools For Efficient And Sustainable Process Development And Improvement, Jake P. Stengel
Theses and Dissertations
Infrastructure is a key component in the well-being of our society that leads to its growth, development, and productive operations. A well-built infrastructure allows the community to be more competitive and promotes economic advancement. In 2021, the ASCE (American Society of Civil Engineers) ranked the American infrastructure as substandard, with an overall grade of C-. The overall ranking suffers when key infrastructure categories are not maintained according to the needs of the population. Therefore, there is a need to consider alternative methods to improve our infrastructure and make it more sustainable to enhance the overall grade. One of the challenges …
An Injury Severity Prediction-Driven Accident Prevention System, Gulsum Alicioglu, Bo Sun, Shen-Shyang Ho
An Injury Severity Prediction-Driven Accident Prevention System, Gulsum Alicioglu, Bo Sun, Shen-Shyang Ho
Faculty Scholarship for the College of Science & Mathematics
Traffic accidents are inevitable events that occur unexpectedly and unintentionally. Therefore, analyzing traffic data is essential to prevent fatal accidents. Traffic data analysis provided insights into significant factors and driver behavioral patterns causing accidents. Combining these patterns and the prediction model into an accident prevention system can assist in reducing and preventing traffic accidents. This study applied various machine learning models, including neural network, ordinal regression, decision tree, support vector machines, and logistic regression to have a robust prediction model in injury severity. The trained model provides timely and accurate predictions on accident occurrence and injury severity using real-world traffic …