Industrial Engineering Commons^™

Explorations Into Machine Learning Techniques For Precipitation Nowcasting, Aditya Nagarajan

Masters Theses

Recent advances in cloud-based big-data technologies now makes data driven solutions feasible for increasing numbers of scientific computing applications. One such data driven solution approach is machine learning where patterns in large data sets are brought to the surface by finding complex mathematical relationships within the data. Nowcasting or short-term prediction of rainfall in a given region is an important problem in meteorology. In this thesis we explore the nowcasting problem through a data driven approach by formulating it as a machine learning problem.

State-of-the-art nowcasting systems today are based on numerical models which describe the physical processes leading to …

A Lean Information Management Model For Efficient Operations Of An Educational Entity At The University Of Tennessee, Harshitha Muppaneni

Masters Theses

A software based Management Information System (MIS) is designed and implemented in the Department of Industrial and Systems Engineering at University of Tennessee to handle different types of data requests that are currently processed through multiple steps. This thesis addresses the current resource intensive data management model in educational institutions and proposes a decentralized and customized solution. The proposed software based data management system provides information to authorized sources in the requested format with minimal or no time consumption. The quantification of the new systems’ impact is done by comparing it with current data management process using Graph Theoretic Approach …