Abstract: A time at which a failure of a noise level meter has occurred is accurately determined. The present invention relates to a noise measuring device including a noise level meter having a main microphone capable of measuring noise, and a sub microphone capable of measuring noise at the same time as the main microphone. The present invention also relates to a failure diagnosing system having the noise measuring device and a failure diagnosing device capable of diagnosing a failure of the main microphone. The present invention also relates to a failure diagnosing method for diagnosing a failure of the main microphone. In the failure diagnosing system and the method, the presence or absence of a failure of the main microphone in the noise level meter is diagnosed based on the comparison between main and sub noise data obtained by the main and sub microphones and respectively in each of a plurality of recording periods.

Abstract: An acoustic arrangement shelf is configured to be capable of facilitating adjustment of acoustic properties and be capable of enhancing aesthetic appeal of a space for which the acoustic properties are to be adjusted. The acoustic arrangement shelf includes: a shelf frame including a plurality of segments; and an acoustic adjustment member configured to be removably placed in at least one of the segments and change a property of input sound.

Abstract: Training data required for further training an AI pre-trained model to be used to identify aircraft can be effectively generated. A training data generation method includes: obtaining two data items among an appearance data item on an aircraft in an image in which a specific route has been imaged, a signal data item on radio waves emitted from the aircraft on the route, and a noise data item indicating noise from the aircraft on the route; identifying an attribute of the aircraft on the route by inputting one of the obtained two data items into a first identification model for identifying the attribute of the aircraft; and generating training data used for training a second identification model for identifying the attribute of the aircraft, by associating the other of the obtained two data items with the attribute of the aircraft on the route identified in the identification step.

Abstract: Operation history information on every aircraft can be collected, and efficiency in collection of the aircraft operation history information can be improved. The present invention includes: an image acquisition unit 11 configured to acquire an image G obtained by imaging a route R or A2; an image-type model identification unit 21 configured to identify a model of an aircraft P in the route R or A2 based on appearance data of an aircraft Q in the image G acquired by the image acquisition unit 11 and aircraft appearance samples previously prescribed for respective models; and an operation history storage unit 45 configured to store image-derived model information identified by the image-type model identification unit 21.