1neural networks (3 points) the dataset available in the file activity-small. csv [1] in blackboard contains data in three dimensions from a single chest-mounted accelerometer. the dataset is intended for activity recognition research purposes. it provides challenges for identification of people using motion patterns. the predictor variables are in three dimensions: x-acceleration, y-acceleration, and z-acceleration. the class label is one of {0,1,2,3}, where 0 implies "working on the computer,", 1 implies "standing up, walking, and going up/down the stairs,", 2 implies "walking," and 3 implies "talking while standing."

A3-mm-thick panel of aluminum alloy (k 177 w/m-k, c 875 j/kg-k and ? = 2770 kg/m) is finished on both sides with an epoxy coating that must be cured at or above t,-150°c for at least 5 min. the production line for the curing operation involves two steps: (1) heating in a large oven with air at ts,0-175°c and a convection coefficient of h, 40 w/m2. k, and (2) cooling in a large chamber with air at 25°c and a con- vection coefficient of he 10 w/m2.k. the heating portion of the process is conducted over a time interval te which exceeds the ime required to reach 150°c by 5 min (h = r + 300 s). the coating has an emissivity of ? = 0.8, and the temperatures of the oven and chamber walls are 175 and 25°c, respectively. if the panel is placed in the oven at an initial temperature of 25°c and removed from the chamber at a safe-to-touch tempera ture of 37°c, what is the total elapsed time for the two-step curing operation?