Abstract: The present disclosure relates to a method for modeling a personalized breast implant including the operations of: obtaining medical image data and body scan data; obtaining first image data by 3D modeling the medical image data; obtaining second image data by 3D modeling the body scan data; creating third image data by merging the first image data and the second image data; and creating breast implant appearance information on the basis of the third image data.

Abstract: Disclosed are a system for predicting optical properties of molecules based on machine learning and a method thereof. More particularly, the system for predicting optical properties according to an embodiment includes a preprocessor that receives molecular information of a target molecule and surrounding molecules, and vectorizes the molecular information of a target molecule and surrounding molecules; a feature extractor that receives the vectorized information of the target molecule and surrounding molecules and extracts the features of the target molecule and surrounding molecules; an integrated feature extractor that receives both features of the target molecule and surrounding molecules and extract the integrated features of the target molecule and surrounding molecules by using an algorithm; and an optical property predictor that receives the integrated features of the target molecule and surrounding molecules and predicts optical properties of the target molecule affected by surrounding molecules.

Abstract: The present disclosure relates to a method for modeling a personalized breast implant including the operations of: obtaining medical image data and body scan data; obtaining first image data by 3D modeling the medical image data; obtaining second image data by 3D modeling the body scan data; creating third image data by merging the first image data and the second image data; and creating breast implant appearance information on the basis of the third image data.

Abstract: A rotation center decoupling type aiming lamp applied to a vehicle includes an aiming device in which an aiming axis spaced apart from an aiming point reference line of an aiming point axis at a distance of an aiming adjustment height is operated as a rotation center of the reflector, and an aiming angle is changed through an aiming point axis to which the reflector is attached by a reflector bracket, such that the rotation center of the reflector adjusting a light radiation direction may be formed at a position above or ahead of the aiming point reference line, thereby reducing an occupation space of the aiming device and securing stability of the aiming driving, and particularly, a sufficient rear shock absorption space may also be secured in the aiming lamp, thereby securing structural robustness while satisfying low-speed collision regulations.

Abstract: A rotation center decoupling type aiming lamp applied to a vehicle includes an aiming device in which an aiming axis spaced apart from an aiming point reference line of an aiming point axis at a distance of an aiming adjustment height is operated as a rotation center of the reflector, and an aiming angle is changed through an aiming point axis to which the reflector is attached by a reflector bracket, such that the rotation center of the reflector adjusting a light radiation direction may be formed at a position above or ahead of the aiming point reference line, thereby reducing an occupation space of the aiming device and securing stability of the aiming driving, and particularly, a sufficient rear shock absorption space may also be secured in the aiming lamp, thereby securing structural robustness while satisfying low-speed collision regulations.

Abstract: Disclosed are a system for predicting optical properties of molecules based on machine learning and a method thereof. More particularly, the system for predicting optical properties according to an embodiment includes a preprocessor that receives molecular information of a target molecule and surrounding molecules, and vectorizes the molecular information of a target molecule and surrounding molecules; a feature extractor that receives the vectorized information of the target molecule and surrounding molecules and extracts the features of the target molecule and surrounding molecules; an integrated feature extractor that receives both features of the target molecule and surrounding molecules and extract the integrated features of the target molecule and surrounding molecules by using an algorithm; and an optical property predictor that receives the integrated features of the target molecule and surrounding molecules and predicts optical properties of the target molecule affected by surrounding molecules.

Abstract: Disclosed is a MEMS variable capacitor, the capacitor including a first electrode, a second electrode that is floated on an upper surface of the first electrode, and a third electrode capable of variably-adjusting a capacitance value by adjusting a gap between the first electrode and the second electrode.

Abstract: Disclosed herein is a variable capacitor and its driving method, the variable capacitor including, a movable first electrode; and a second electrode formed with an insulating film, fixed in place, and its insulating film contacting the first electrode that is moved.

Abstract: Disclosed herein is a variable capacitor and its driving method, the variable capacitor including, a movable first electrode; and a second electrode formed with an insulating film, fixed in place, and its insulating film contacting the first electrode that is moved.

Abstract: Disclosed is a MEMS variable capacitor, the capacitor including a first electrode, a second electrode that is floated on an upper surface of the first electrode, and a third electrode capable of variably-adjusting a capacitance value by adjusting a gap between the first electrode and the second electrode.

Abstract: The present invention relates to a micro-electromechnical system (MEMS) and, more particularly, to an electrostatic actuator, and a driving method thereof and an application device thereof. The electrostatic actuator in accordance with the present invention comprises a fixed electrode, an electric charge charging unit electrically insulated from the fixed electrode, and a moving electrode spaced apart from the fixed electrode and the electric charge charging unit. In accordance with the present invention, the electrostatic actuator with a very low driving voltage and an arbitrarily controllable driving voltage when compared with a conventional electrostatic actuator is provided. In addition, the electrostatic actuator having durability against external noise and enabling a reliable consecutive operation is provided.