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: The present invention relates to a composition for preventing sleep disorders or insomnia, containing an enzyme-treated Ashwagandha extract as an active ingredient, and specifically, since it was confirmed that in an animal model and a sleep disorder animal model, which were administered an enzyme-treated Ashwagandha extract, sleep latency and awake time during sleep were decreased, sleep time, non-rapid eye movement (NREM) sleep time and ?-waves were increased, and as a result, sleep activity was improved, the enzyme-treated Ashwagandha extract can be used as an active ingredient of a composition for preventing or treating sleep disorders or insomnia.

Abstract: The present invention relates to a composition for preventing sleep disorders or insomnia, containing an enzyme-treated Ashwagandha extract as an active ingredient, and specifically, since it was confirmed that in an animal model and a sleep disorder animal model, which were administered an enzyme-treated Ashwagandha extract, sleep latency and awake time during sleep were decreased, sleep time, non-rapid eye movement (NREM) sleep time and ?-waves were increased, and as a result, sleep activity was improved, the enzyme-treated Ashwagandha extract can be used as an active ingredient of a composition for preventing or treating sleep disorders or insomnia.

Abstract: The present invention relates to a shock sensing device for vehicle and method for controlling thereof. The present invention can minimize battery consumption with faster handling of occurred accident more than prior art when camera was installed at a side of a vehicle to film a blind spot since the present invention can film information of a vehicle blind spot with camera of only 1 channel or 2 channel.

Abstract: The present application relates to a system for location measurement and night-time forward vehicle detection using a single multi-exposure camera and method thereof which use a long exposure and short exposure frame images among four exposure methods of a multi-exposure camera and applies a binarization method which use a local adaptive threshold value, and also applies a BLOB (Binary Large Objects) matching method which detects an identical candidate BLOB from a different exposure frame image thereby, enables further accurate detection and location measurement of a forward vehicle during night-time drive.

Abstract: The present application relates to a system for location measurement and night-time forward vehicle detection using a single multi-exposure camera and method thereof which use a long exposure and short exposure frame images among four exposure methods of a multi-exposure camera and applies a binarization method which use a local adaptive threshold value, and also applies a BLOB (Binary Large Objects) matching method which detects an identical candidate BLOB from a different exposure frame image thereby, enables further accurate detection and location measurement of a forward vehicle during night-time drive.

Abstract: The present invention relates to a shock sensing device for vehicle and method for controlling thereof. The present invention comprises, at least one shock sensing sensor installed in a vehicle, at least one camera wherein rotates to a predetermined direction when shock sensing signal is generated from the shock sensing sensor and installed to film at least one direction of front or back of a vehicle, an image processing unit wherein recognizes front and back direction of a crashed vehicle and crash point where crash occurred based on image information collected from the rotating camera and, a control unit wherein senses filming direction of the camera and stops the camera when the camera's filming direction is directed and controls to store image information regarding crash vehicle.