|SUBJECT:||M.S. Thesis Presentation|
|TIME:||Friday, July 20, 2018, 4:00 p.m.|
|PLACE:||Love Building, 109|
|TITLE:||Developing a smart and low cost device for machining vibration analysis|
|COMMITTEE:||Dr. Thomas Kurfess, Co-Chair (ME)
Dr. Steven Y. Liang, Co-Chair (ME)
Dr. Christopher J. Saldana (ME)
Internet of Thing (IoT) is receiving an enormous attention especially when it comes to monitor machining operations. However, current technology must continue to evolve in order to reduce cost and to improve data analytics. More importantly, IoT devices often raise security concerns as they transfer a considerable amount of data to the cloud. Simultaneously, the computational power of embedded platforms has increased, giving the ability to process data locally; thus, edge computing is able to reduce the security problem as they minimize the quantity of information transferred to the cloud. Therefore, these problems can be addressed by developing a truly smart low-cost device that takes advantage of fog computing as opposed to cloud computing.