The University Libraries at UNCG currently track the state of a computer, determining whether or not a particular computer is in use. This data is compiled into a database, and a web app pulls from this database to show a map and number of available computers. As of Fall 2017, the data had not been used to determine which computers are used more frequently, aside from counting the number of times a computer transitions into/away from the 'in-use' state. This project attempts to correlate the usage of these computers with various factors, including: campus scheduling, equipment configuration, placement, population in the library, and area weather. Using this data, this project also uses machine learning to determine the best placement of computers for future allocation, and possible reconfiguration of equipment and space.
An example of what I was referring to in class- please take a look and see what you think. If you guys approve it would not be difficult for me to update the rest of the notebook and the Library one in a similar fashion.
PatriciaTanzer
commented
7 years ago
An example of what I was referring to in class- please take a look and see what you think. If you guys approve it would not be difficult for me to update the rest of the notebook and the Library one in a similar fashion.
This would also make testing MUCH easier.