Abstract: A lens assembly includes a first D-cut lens and a lens barrel surrounding a portion of a side surface of the first D-cut lens. The side surface of the first D-cut lens includes a linear portion, and the lens barrel is configured to expose at least a portion of the linear portion of the first D-cut lens in a direction perpendicular to an optical axis.

Abstract: Provided are a control method, a control apparatus, a training method, and a training apparatus based on thickness estimation of a wafer substrate. The training method includes generating a training spectrum signal according to a thickness of a wafer substrate using an optical model, generating a training spectrum signal having a noise by applying a noise based on a noise parameter to the training spectrum signal, calculating a similarity between the training spectrum signal having the noise and an actually measured spectrum signal, and when the similarity satisfies a set condition, training a noise reduction model using the training spectrum signal having the noise.

Abstract: A system for detecting and diagnosing a faultive state of an airplane engine, including: at least one vibration sensor attached to an airplane; a reference model database construction unit; and a fault detection and diagnosis unit which estimates a parameter of a model, obtains a test variable and a numerator coefficient value difference of a transfer function between the models, and the covariance of parameter estimation error, and diagnoses the faultive state and the faultive cause of the airplane engine. Accordingly, the present invention can determine the faultive state and the detective cause of the airplane engine using the vibration data of the airplane engine.

Abstract: A system for detecting and diagnosing a faultive state of an airplane engine, including: at least one vibration sensor attached to an airplane; a reference model database construction unit; and a fault detection and diagnosis unit which estimates a parameter of a model, obtains a test variable and a numerator coefficient value difference of a transfer function between the models, and the covariance of parameter estimation error, and diagnoses the faultive state and the faultive cause of the airplane engine. Accordingly, the present invention can determine the faultive state and the detective cause of the airplane engine using the vibration data of the airplane engine.