Abstract
An overall result of this collaboration between the Mechanical Engineering Dept. and the Purdue University Libraries (PUL) should result in building a big data framework that make have knowledge transfer for similar large scale geospatial data implementations. Such may promote best practices of data management where the library skill sets may aid faculty research and student learning. Here, the PUL is concerned with advancing the Mechanical Engineering‘s STEM pipeline capacity with this type of research, collaboration and data management engagement.
Keywords
big data, mechanical engineering, geospatial, data management
Date of this Version
4-3-2014
Recommended Citation
Kim, Jaeyoung; Ariyur, Kartik; Cui, Yan; Branch, Benjamin D.; and Umo, Joshua Ebung, "Autonomous Indoor Localization for Fire Safety and Resource Location via Field Mapping Techniques" (2014). Libraries Faculty and Staff Presentations. Paper 69.
https://docs.lib.purdue.edu/lib_fspres/69
Included in
Acoustics, Dynamics, and Controls Commons, Library and Information Science Commons, Other Mechanical Engineering Commons
Comments
This poster was presented at the DURI Project 2014 Spring Conference, Purdue University, April 3, 2014.