Index Catalog // ScholarsArchive@OSU

Advancing Spatial Data Engineering and Analysis: Integrative Approaches with GIS, Statistical Modelling, and Deep Learning

Creator:: Krivova, Maria
Abstract:: Geospatial data analysis is a multifaceted discipline encompassing the collection, processing, and visualization of diverse datasets. It models and delineates the interactions of people, objects, and phenomena within geographical spaces and predicts patterns based on the relationships between different locations. Despite significant advancements in geospatial data engineering and analytics over...
Resource Type:: Dissertation
Full Text:: . Title: Advancing Spatial Data Engineering and Analysis: Integrative Approaches with GIS, Statistical

Development of the simplified method to evaluate dynamic mechanical analysis data on asphalt-aggregate mixtures

Creator:: Ab-Wahab, Yunus Bin
Abstract:: Testing of asphalt binders and asphalt-aggregate mixtures using dynamic mechanical analysis is becoming popular with improvements in high-speed computers, precision equipment, and computer software. Researchers are trying to describe the behavior of asphalt binders and asphalt-aggregate mixtures in terms of their time- and temperature-dependent linear viscoelastic behavior. The objectives of...
Resource Type:: Dissertation
Full Text:: 4.3 Data Collection Module Flowchart 51 Figure 4.4 Report Module Flowchart 52 Figure 4.5 Specimen with

Mapping Nearshore Bathymetry with Spaceborne Data Fusion and State Space Modeling

Creator:: Forfinski-Sarkozi, Nicholas A.
Abstract:: Despite numerous techniques for measuring and estimating water depth, bathymetry in the nearshore zone is notoriously difficult to map. Dangerous sea states, noisy environmental conditions, and expensive survey operations, particularly in remote areas, contribute to the difficulties of obtaining data along the coast. Global datasets, derived mainly from satellite altimetry...
Resource Type:: Dissertation
Full Text:: Data Fusion and State Space Modeling. Abstract approved

Analysis of spatial data from terrain models for landslide predictive mapping

Creator:: Santha, Rubini
Abstract:: Landslides are a pervasive hazard that can result in substantial damage to properties and loss of life throughout the world. To understand the nature and scope of the hazard, landslide hazard mapping has been an area of intense research by identifying areas most susceptible to landslides in order to mitigate...
Resource Type:: Dissertation
Full Text:: Engineering presented on June 10, 2014. Title: Analysis of Spatial Data from Terrain Models for Landslide

Automated Monitoring of Construction Operations for Data-Driven Decision Making

Creator:: Rashid, Khandakar, M.
Abstract:: The continuous improvement of construction operations requires a systematic approach of monitoring and making appropriate control actions. However, the lack of real-time information hinders this workflow and eventually compromises timely and effective decision-making. Project managers spend a great deal of time and effort to solve problems emerging from lack of...
Resource Type:: Dissertation
Full Text:: . Title: Automated Monitoring of Construction Operations for Data-Driven Decision Making

Assimilation of Multi-Sensor Data into Numerical Hydrodynamic Models of Inland Water Bodies

Creator:: Javaheri, Amir
Abstract:: Numerical models are effective tools for simulating complex physical processes such as hydrodynamic and water quality processes in aquatic systems. The accuracy of the model is dependent on multiple model parameters and variables that need to be calibrated and regularly updated to reproduce changing aquatic conditions accurately. Multi-sensor water temperature...
Resource Type:: Dissertation
Full Text:: . Title: Assimilation of Multi-Sensor Data into Numerical Hydrodynamic Models of Inland Water Bodies

An Efficient Point Cloud Processing Framework for Terrestrial and Mobile Lidar Data via Reconstructing the Scan Pattern Grid

Creator:: Che, Erzhuo
Abstract:: Lidar (LIght Detection And Ranging) is a remote sensing technology using light in the form of a pulsed laser, which enables efficient, accurate, 3-D data acquisition of a scene. Depending on the mounting platform, lidar data acquisition can be categorized into Airborne Laser Scanning (ALS, or airborne lidar), Terrestrial Laser...
Resource Type:: Dissertation
Full Text:: Efficient Point Cloud Processing Framework for Terrestrial and Mobile Lidar Data via Reconstructing the

Small Unmanned Aircraft Systems (UAS) for Engineering Inspections and Geospatial Mapping

Creator:: Javadnejad, Farid
Abstract:: Small unmanned aircraft systems (UAS) carrying consumer-grade nonmetric cameras are increasingly utilized to generate high-resolution 3D geospatial data. Low cost, ease of operation, widespread availability and low altitude maneuvering capabilities of UAS, as well as the rapid development of technology and methods, make UAS-based photogrammetry applicable to many civil engineering...
Resource Type:: Dissertation
Full Text:: utilized to generate high-resolution 3D geospatial data. Low cost, ease of operation, widespread

An Investigation of Student Cognitive Engagement in the STEM Classroom—A Compilation of Faculty and Student Perspectives

Creator:: Barlow, Allyson J.
Abstract:: Student engagement has been the focus of much engineering education research, in large part due to its ties to student learning. Widely considered to be a meta-construct, student engagement is often broken down into behavioral, emotional, and cognitive components. Reasons for ongoing research on student cognitive engagement are twofold: educators...
Resource Type:: Dissertation
Full Text:: ; evidence was found that students report statistically different on their modes of engagement depending

Enhancing Technology Integration in the Construction Industry : A Focus on Safety Technologies

Creator:: Nnaji, Chukwuma A.
Abstract:: Recent statistics suggest that the construction industry continues to experience poor project performance. Specifically, construction productivity has witnessed a meager annual growth of 1% over the past 20 years while the industry constantly records both a high number of fatalities and a high fatality rates relative to other industries. The...
Resource Type:: Dissertation
Full Text:: research methodologies and data analysis techniques to develop and evaluate novel decision support tools

ScholarsArchive@OSU

Advancing Spatial Data Engineering and Analysis: Integrative Approaches with GIS, Statistical Modelling, and Deep Learning

Development of the simplified method to evaluate dynamic mechanical analysis data on asphalt-aggregate mixtures

Mapping Nearshore Bathymetry with Spaceborne Data Fusion and State Space Modeling

Analysis of spatial data from terrain models for landslide predictive mapping

Automated Monitoring of Construction Operations for Data-Driven Decision Making

Assimilation of Multi-Sensor Data into Numerical Hydrodynamic Models of Inland Water Bodies

An Efficient Point Cloud Processing Framework for Terrestrial and Mobile Lidar Data via Reconstructing the Scan Pattern Grid

Small Unmanned Aircraft Systems (UAS) for Engineering Inspections and Geospatial Mapping

An Investigation of Student Cognitive Engagement in the STEM Classroom—A Compilation of Faculty and Student Perspectives

Enhancing Technology Integration in the Construction Industry : A Focus on Safety Technologies

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