Benczúr, András
(MTA SZTAKI)
Sensor time series predictive
analysis
By monitoring sensor data
of physical processes real time, we may predict and mitigate failures. In the presentation I will illustrate the new generation of time series
prediction problems by two tasks:
- We predict scrap rate in transfer molding to
package automotive electronic components in epoxy for protection.
- We predict connection loss in radio networks
based on mobile base station logs, and independently of mobile device logs.
The difficulty of
predicting the above processes lie in the complex structure of the available
data. For example, manufacturing data is organized hierarchically into
individual products, groups, charges, work shifts, cleaning cycles, etc. And
mobile device data is highly dependent on device, operating system and
permission types and vary widely from device level constants to rapidly
changing accelerometer measurements.
In the presentation
I will describe feature and shape based time series predictive models, which
work for multiple time series of mixed measurement types.
The talk is held in English!
Az előadás angol nyelven lesz megtartva!
Date: Oct 3, Tuesday 4:15pm
Place: BME, Building „Q”, Room QBF13