A position measuring device intended for a rotary electric machine. The position measuring device includes a position sensor and a fixing arm projecting with respect to the sensor compartment, wherein the fixing arm has an orifice exhibiting a central axis. The fixing arm has at least one slot made in the periphery of the orifice, the slot exhibiting a depth, in the direction of the central axis as far as a bottom wall, greater than or equal to 2 mm, the slot being configured to receive a tooth of a calibration tool. The invention also relates to the calibration tool cooperating with the position measuring device.

A position measuring device intended for a rotary electric machine. The position measuring device includes a position sensor and a fixing arm projecting with respect to the sensor compartment, wherein the fixing arm has an orifice exhibiting a central axis. The fixing arm has at least one slot made in the periphery of the orifice, the slot exhibiting a depth, in the direction of the central axis as far as a bottom wall, greater than or equal to 2 mm, the slot being configured to receive a tooth of a calibration tool. The invention also relates to the calibration tool cooperating with the position measuring device.

Apparatus and methods are provided for determining, recommending, and applying a calibration parameter to collected activity data. In one embodiment, calibration parameter is estimated based on physical aspects of the user and automatically applied to collected data. In another embodiment, the calibration parameter is determined based on secondary data which is more precise than the data which is collected. The calibration factor based on the more precise data may comprise a recommended calibration factor, yet the user may be enabled to select any calibration factor he/she prefers via an interactive display. In one specific variant, the activity comprises a walk or run activity of the user, and the calibration parameter comprises the user's specific stride length. In another variant, the user selects a calibration factor by reviewing a list of previous activity against that same activity after calibration given a particular calibration factor is applied.

Apparatus and methods are provided for determining, recommending, and applying a calibration parameter to collected activity data. In one embodiment, calibration parameter is estimated based on physical aspects of the user and automatically applied to collected data. In another embodiment, the calibration parameter is determined based on secondary data which is more precise than the data which is collected. The calibration factor based on the more precise data may comprise a recommended calibration factor, yet the user may be enabled to select any calibration factor he/she prefers via an interactive display. In one specific variant, the activity comprises a walk or run activity of the user, and the calibration parameter comprises the user's specific stride length. In another variant, the user selects a calibration factor by reviewing a list of previous activity against that same activity after calibration given a particular calibration factor is applied.

The subject disclosure relates to techniques for determining a positioning error of a rotary encoder. A process of the disclosed technology can include steps of receiving measurement data including an angle and timestamp measured at each of a plurality of positions during a rotation of a rotary encoder, determining an angular velocity, at each of the plurality of positions, based on the corresponding measurement data, and determining a positioning error of the rotary encoder based on the angular velocity at each of the plurality of positions. Systems and machine-readable media are also provided.

The sensor nervous system (SNS) comprises an ecosystem where sensors can be deployed such that any sensor from any vendor can be integrated into or removed from the SNS without the need for redesigning the sensor, sensor system, or SNS to accommodate the changes in sensor device count, type, or functionality. The SNS is agnostic to which platform it is deployed upon and can be used for retrofitting and enhancing existing platforms or integrated into new platform designs. Individual sensors are integrated into sensor pods and the sensor pods are, in turn, integrated into the SNS ecosystem.

The sensor nervous system (SNS) comprises an ecosystem where sensors can be deployed such that any sensor from any vendor can be integrated into or removed from the SNS without the need for redesigning the sensor, sensor system, or SNS to accommodate the changes in sensor device count, type, or functionality. The SNS is agnostic to which platform it is deployed upon and can be used for retrofitting and enhancing existing platforms or integrated into new platform designs. Individual sensors are integrated into sensor pods and the sensor pods are, in turn, integrated into the SNS ecosystem.

The invention provides a calibration method for bulk radiation wastes. The calibration method for bulk radiation method for bulk radiation wastes including the following steps. First, pluralities of objects are provided. Then, the plurality of objects arranged into calibration member. In addition, a measurement system and a measurement method for bulk radiation wastes are provided.

An angle sensor includes a detection signal generation unit for generating detection signals, and an angle detection unit for generating a detected angle value on the basis of the detection signals. The angle detection unit includes a signal conversion unit for performing a conversion operation, and an angle operation unit for performing an angle operation. The conversion operation is to convert the detection signals into first and second operation signals. The angle operation is to calculate the detected angle value using the first and second operation signals. The conversion operation includes an operation using a correction-term-containing function Which contains a correction term for reducing a first error or a second error occurring in the detected angle value. When the angle to be detected varies with a predetermined period, the first error varies with the predetermined period, whereas the second error varies with a period ½ the predetermined period.

An angle sensor includes a detection signal generation unit for generating detection signals, and an angle detection unit for generating a detected angle value on the basis of the detection signals. The angle detection unit includes a signal conversion unit for performing a conversion operation, and an angle operation unit for performing an angle operation. The conversion operation is to convert the detection signals into first and second operation signals. The angle operation is to calculate the detected angle value using the first and second operation signals. The conversion operation includes an operation using a correction-term-containing function Which contains a correction term for reducing a first error or a second error occurring in the detected angle value. When the angle to be detected varies with a predetermined period, the first error varies with the predetermined period, whereas the second error varies with a period ½ the predetermined period.