A train speed estimation device and method are disclosed. Vibration in a natural frequency band experienced by a train as it advances is sampled by means of first and second sensors at the same sampling frequency, to obtain a first set and a second set of sampling signals respectively; a first set and a second set of vibration signals are obtained on the basis of the first set and second set of sampling signals respectively, and the first set and second set of vibration signals are subjected to cross-correlation analysis, to obtain a target sampling difference; and a train speed is calculated on the basis of the target sampling difference. The train speed estimation device and method according to the present disclosure can precisely monitor the real-time train speed without relying on any speed sensor or GNSS.

Examples of systems and methods for locating movable objects such as carts (e.g., shopping carts) are disclosed. Such systems and methods can use dead reckoning techniques to estimate the current position of the movable object. Various techniques for improving accuracy of position estimates are disclosed, including compensation for various error sources involving the use of magnetometer and accelerometer, and using vibration analysis to derive wheel rotation rates. Also disclosed are various techniques to utilize characteristics of the operating environment in conjunction with or in lieu of dead reckoning techniques, including characteristic of environment such as ground texture, availability of signals from radio frequency (RF) transmitters including precision fix sources. Such systems and methods can be applied in both indoor and outdoor settings and in retail or warehouse settings.

A monitoring device of a main spindle rotation speed in a machine tool displays a variation state of the rotation speed by a rotation speed variation unit using a display unit in the machine tool. The monitoring device includes a drawing unit, a variation position display unit, and a reduction effect index display unit. The drawing unit is configured to display a variation diagram that illustrates a relationship between a variation amplitude and a variation cycle of the rotation speed. The reduction effect index display unit is configured to display a reduction effect index on the variation diagram. The reduction effect index represents a reduction effect of chatter vibration. The reduction effect index is calculated based on a speed ratio that is a ratio of a rotation speed of one rotation before to a rotation speed at an identical rotation position of the main spindle at any given timing.

A monitoring device of a main spindle rotation speed in a machine tool displays a variation state of the rotation speed by a rotation speed variation unit using a display unit in the machine tool. The monitoring device includes a drawing unit, a variation position display unit, and a reduction effect index display unit. The drawing unit is configured to display a variation diagram that illustrates a relationship between a variation amplitude and a variation cycle of the rotation speed. The reduction effect index display unit is configured to display a reduction effect index on the variation diagram. The reduction effect index represents a reduction effect of chatter vibration. The reduction effect index is calculated based on a speed ratio that is a ratio of a rotation speed of one rotation before to a rotation speed at an identical rotation position of the main spindle at any given timing.

An identity recognition method includes a step of storing multiple training data sets that respectively correspond to gaits of multiple members, a step of obtaining a gait similarity estimation model that is established by training a Siamese neural network using the training data sets, a step of obtaining a piece of inertial data that corresponds to a step taken by a user, a step of generating, based on the piece of inertial data, a piece of feature data that is related to gait of the step taken by the user, a step of generating, based on the piece of feature data and the training data sets, multiple evaluation results that respectively correspond to the training data sets by using the gait similarity estimation model, and a step of determining whether the user belongs to a group consisting of the members based on the evaluation results and a predefined threshold.

An identity recognition method includes a step of storing multiple training data sets that respectively correspond to gaits of multiple members, a step of obtaining a gait similarity estimation model that is established by training a Siamese neural network using the training data sets, a step of obtaining a piece of inertial data that corresponds to a step taken by a user, a step of generating, based on the piece of inertial data, a piece of feature data that is related to gait of the step taken by the user, a step of generating, based on the piece of feature data and the training data sets, multiple evaluation results that respectively correspond to the training data sets by using the gait similarity estimation model, and a step of determining whether the user belongs to a group consisting of the members based on the evaluation results and a predefined threshold.

The vibrator device includes: a base; a circuit element disposed on the base; a vibrating element disposed to at least partially overlap the circuit element in a plan view; and a support substrate that is disposed between the circuit element and the vibrating element and supports the vibrating element. In addition, the vibrating element has a frequency adjustment portion that performs frequency adjustment by removing at least a part of the vibrating element, and the support substrate includes a base portion that supports the vibrating element, a support portion that supports the base portion, a beam portion that couples the base portion the support portion, and a shielding portion that is connected to the beam portion, overlaps the frequency adjustment portion in a plan view, and has light shielding properties.

The vibrator device includes: a base; a circuit element disposed on the base; a vibrating element disposed to at least partially overlap the circuit element in a plan view; and a support substrate that is disposed between the circuit element and the vibrating element and supports the vibrating element. In addition, the vibrating element has a frequency adjustment portion that performs frequency adjustment by removing at least a part of the vibrating element, and the support substrate includes a base portion that supports the vibrating element, a support portion that supports the base portion, a beam portion that couples the base portion the support portion, and a shielding portion that is connected to the beam portion, overlaps the frequency adjustment portion in a plan view, and has light shielding properties.

An inertial measurement unit includes: a sensor unit including an inertial sensor, a case accommodating the inertial sensor, and a first fixing part having the case fixed thereto; an elastic member having a first elastic member mainly damping a vibration at a predetermined frequency in a first direction and a second elastic member mainly damping a vibration at a predetermined frequency in a second direction that is different from the first direction; a second fixing part where the sensor unit and the elastic member are arranged; and a fixing member fixing the sensor unit and the elastic member to the second fixing part.

An inertial measurement unit includes: a sensor unit including an inertial sensor, a case accommodating the inertial sensor, and a first fixing part having the case fixed thereto; an elastic member having a first elastic member mainly damping a vibration at a predetermined frequency in a first direction and a second elastic member mainly damping a vibration at a predetermined frequency in a second direction that is different from the first direction; a second fixing part where the sensor unit and the elastic member are arranged; and a fixing member fixing the sensor unit and the elastic member to the second fixing part.