Abstract: An apparatus for predicting performance of a wheel in a vehicle: includes a learning device that generates a latent space for a plurality of two-dimensional (2D) wheel images based on a convolutional autoencoder (CAE), extracts a predetermined number of the plurality of 2D wheel images from the latent space, and learns a dataset having the plurality of 2D wheel images and performance values corresponding to the plurality of 2D wheel images; and a controller that predicts performance for the plurality of 2D wheel images based on a performance prediction model obtained by the learning device.

Abstract: An automatic thermal therapeutic apparatus is disclosed. The thermal therapeutic apparatus includes an upper housing having a recess and a lower housing. A plurality of thermal therapeutic devices are positioned in the recess of the housing. Each thermal therapeutic device has a rectangular shaped body, a pressure member for pressurizing a desired portion of human body, and a lamp located beneath the pressure member in the body for emitting far infrared light. A controller controls all functional components. Lifting means for raise and lower the thermal therapeutic devices to a predetermined height during a prescribed time period based upon an output signal of the controller. The lifting means have a lifting member, the upper portion of the lifting means passing through a hole of the upper housing.