Abstract: A predicting device, including a processor configured to: acquire displacement data that expresses a time series of displacements at respective points in time that are input to a vibration proofing member, and velocity data that expresses a time series of velocities at respective points in time that are input to the vibration proofing member; generate first load data of the vibration proofing member by inputting the acquired displacement data and velocity data into a model that is for inferring, from the displacement data and the velocity data, load data; generate second load data of the vibration proofing member by inputting the acquired displacement data and velocity data into a regression trained model that is for inferring, from the displacement data and the velocity data, load data; and infer load data relating to the vibration proofing member by adding together the generated first load data and the generated second load data.

Abstract: This storage unit is configured to store an outside-of-panel acoustic transfer function that is an acoustic transfer function involving an airborne sound that is a sound emitted from a sound source located outside a panel member and propagated through the air to an outer surface of the panel member, and a panel transmission function that is an acoustic transfer function from the outer surface of the panel member to an inner surface of the panel member. This sound transmission analyzing unit is configured to calculate, based on the outside-of-panel acoustic transfer function and the panel transmission function, an acoustic transfer function from the sound source via the air to the inner surface of the panel member.

Abstract: A predicting device, including a processor configured to: acquire displacement data that expresses a time series of displacements at respective points in time that are input to a vibration proofing member, and velocity data that expresses a time series of velocities at respective points in time that are input to the vibration proofing member; generate first load data of the vibration proofing member by inputting the acquired displacement data and velocity data into a model that is for inferring, from the displacement data and the velocity data, load data; generate second load data of the vibration proofing member by inputting the acquired displacement data and velocity data into a regression trained model that is for inferring, from the displacement data and the velocity data, load data; and infer load data relating to the vibration proofing member by adding together the generated first load data and the generated second load data.

Abstract: A chip that measures a number of microbes includes a chip main body in the form of a long plate, and a measuring electrode provided on a first end side in the longitudinal direction of the surface of the chip main body and that is immersed in a measurement liquid. A connecting electrode is connected to the measuring electrode and is provided on a second end side in the longitudinal direction of the surface of the chip main body. Ground electrodes are provided on the second end side in the longitudinal direction of the surface of the chip main body. Conductive patterns provided to the outer peripheral portion of the measuring electrode are connected to the ground electrodes.

Abstract: This chip for measuring number of microbe comprises a chip main body (15A) in the form of a long plate, a measuring electrode (16) that is provided on a first end side in the longitudinal direction of the surface of the chip main body (15A) and that is immersed in a measurement liquid, and a connecting electrode (17) that is connected to the measuring electrode (16) and is provided on a second end side in the longitudinal direction of the surface of the chip main body (15A). Ground electrodes (37A and 37B) are provided on the second end side in the longitudinal direction of the surface of the chip main body (15A). Conductive patterns (34A, 34B and 34C) that are provided to the outer peripheral portion of the measuring electrode (16) are connected to the ground electrodes (37A and 37B).

Abstract: A microorganism number-measuring apparatus includes: measurement container including measurement liquid; rotary driver; bacteria-collection signal generator; measurement signal generator; output amplifier for amplifying outputs of signal generators and; I/V amplifier; impedance measuring unit for measuring impedance of liquid; microorganism number-computing unit for computing the number of microorganisms present in liquid; solution conductivity-computing unit for computing conductivity of liquid; and warm-up section for warming up at least one of I/V amplifier and output amplifier. Warm-up section computes a warm-up signal based on the conductivity computed by conductivity-computing unit. Warm-up section computes the warm-up signal having a current the same in magnitude as that flowing through measurement electrode by using the measured solution conductivity, and applies the signal to at least one of I/V amplifier and output amplifier.

Abstract: A microorganism number-measuring apparatus includes: measurement container including measurement liquid; rotary driver; bacteria-collection signal generator; measurement signal generator; output amplifier for amplifying outputs of signal generators and; I/V amplifier; impedance measuring unit for measuring impedance of liquid; microorganism number-computing unit for computing the number of microorganisms present in liquid; solution conductivity-computing unit for computing conductivity of liquid; and warm-up section for warming up at least one of I/V amplifier and output amplifier. Warm-up section computes a warm-up signal based on the conductivity computed by conductivity-computing unit. Warm-up section computes the warm-up signal having a current the same in magnitude as that flowing through measurement electrode by using the measured solution conductivity, and applies the signal to at least one of I/V amplifier and output amplifier.