Abstract: A method for predicting an impact point is proposed. The method may include acquiring detection information related to a flying object detected by a radar linked to the impact point predicting device through a communication interface, acquiring prior information including information about an enemy unit, a friendly unit, and a friendly facility. The method may include determining whether the detected flying object is a flying object capable of non-linear maneuver based on the detection information and the prior information, using a neural network model pre-trained using training data so that the neural network model determines whether the flying object is the flying object capable of non-linear maneuver based on detection information and prior information and determining an impact point based on the detection information, the prior information, and a determining result of the neural network model on whether the detected flying object is the flying object capable of non-linear maneuver.

Abstract: A heating film may include a base layer made of polymer resin, a plurality of electrode lines spaced from each other and disposed on the base layer, a mesh-type support layer disposed between the electrode lines and made of a thermally conductive material, and a heating layer that has first and second end portions connected to the respective electrode lines, is made of a carbon composite material, and generates heat when powered.

Abstract: A heating film may include a base layer made of polymer resin, a plurality of electrode lines spaced from each other and disposed on the base layer, a mesh-type support layer disposed between the electrode lines and made of a thermally conductive material, and a heating layer that has first and second end portions connected to the respective electrode lines, is made of a carbon composite material, and generates heat when powered.