A terminal for controlling a wireless sound device can include a communication interface configured to wirelessly connect to at least one or more wireless sound devices; and a processor configured to transmit and receive a positioning signal to and from the at least one or more wireless sound devices, determine a relative position of the at least one or more wireless sound devices based on the positioning signal, receive an acceleration sensor value from the at least one or more wireless sound devices, determine a posture of the at least one or more wireless sound devices based on the acceleration sensor value, determine a wearing state of the at least one or more wireless sound devices based on the relative position and the posture of the at least one or more wireless sound devices, and transmit an audio signal to a worn wireless sound device among the wireless sound devices.

Methods and systems are provided for estimation of a road roughness index (RRI) and adjusting vehicle operation based on the metric. In one example, a method may include estimating the RRI as a function of a pitch energy and a roll energy of the vehicle travelling on the road. In response to the RRI being higher than a threshold, engine operation such as EGR flow rate may be adjusted.

Methods and systems are provided for estimation of a road roughness index (RRI) and adjusting vehicle operation based on the metric. In one example, a method may include estimating the RRI as a function of a pitch energy and a roll energy of the vehicle travelling on the road. In response to the RRI being higher than a threshold, engine operation such as EGR flow rate may be adjusted.

An accelerometer structure, a method for preparing the accelerometer structure and an acceleration measurement method are provided. The accelerometer structure includes a substrate having a groove structure, a test mass, a plurality of nano-tethers, and a nano-photonic-crystal measurement unit. The test mass, nano-tethers, and the nano-photonic-crystal measurement unit are suspended above the groove structure. A nano-photonic-crystal resonant cavity is formed in the nano-photonic-crystal measurement unit, and an acceleration of the test mass is characterized by a resonant frequency of the nano-photonic-crystal resonant cavity. The present disclosure provides a photoelasticity-based opto-micromechanical accelerometer structure, which uses a cavity resonance tension sensor in a nano-photonic-crystal cavity to measure a tension of the nano-photonic-crystal resonant cavity. The tension is concentrated in the nano-photonic-crystal resonant cavity, which makes the measurement of the tension more accurate and the resolution higher. Photoelastic-optomechanical coupling is also increased due to the nano-photonic-crystal resonant cavity.

A vehicle behavior of a monitored vehicle is learned. A vehicle illumination of the monitored vehicle is detected and monitored. If a light-pattern occurs in the detected vehicle illumination, wherein the light-pattern corresponds to a frequency, intensity and/or color dependent glowing of the vehicle illumination, and further wherein the light-pattern starts with a flashing up of the detected vehicle illumination and ends after a certain time without glowing of the respective part of the detected vehicle illumination, then the method further monitors the light-pattern; monitors a vehicle movement of the monitored vehicle during the occurrence of the light-pattern; and compares the monitored light-pattern with a known light-pattern from a light-pattern data entry stored in an light-pattern database. If the comparison results in the monitored light-pattern being unknown, the method stores the light-pattern and the vehicle movement together as a new light-pattern data entry in the light-pattern database.

A vehicle behavior of a monitored vehicle is learned. A vehicle illumination of the monitored vehicle is detected and monitored. If a light-pattern occurs in the detected vehicle illumination, wherein the light-pattern corresponds to a frequency, intensity and/or color dependent glowing of the vehicle illumination, and further wherein the light-pattern starts with a flashing up of the detected vehicle illumination and ends after a certain time without glowing of the respective part of the detected vehicle illumination, then the method further monitors the light-pattern; monitors a vehicle movement of the monitored vehicle during the occurrence of the light-pattern; and compares the monitored light-pattern with a known light-pattern from a light-pattern data entry stored in an light-pattern database. If the comparison results in the monitored light-pattern being unknown, the method stores the light-pattern and the vehicle movement together as a new light-pattern data entry in the light-pattern database.

A vehicle-position monitoring system includes liquid-capacitive inclinometer sensor, configured to provide a measurement of grade (θ.sub.grade) of a surface over which a vehicle travels, and an accelerometer to measure acceleration of the vehicle along a principal axis (a.sub.x) of the vehicle along the surface. Direct measurement of the grade (θ.sub.grade) provides a position-tracking system with accurate information to extract acceleration due to motoring and braking (a.sub.MB) from acceleration experienced along the principal axis and track vehicle position without regard to wheel diameter calibration.

Methods and devices for determining a load vector on an object are disclosed herein. An example method includes collecting location observations related to the object. The example method further includes filtering the location observations to determine an estimated model path. The example method further includes outputting a set of data from the estimated model path, wherein the set of data includes a model location, a model velocity, a model acceleration, and a model jerk. The example method further includes calculating a load vector from the set of data, scaling the load vector via a scaling index, and transmitting the scaled load vector to a remote device.

Devices, methods, and systems for physical contact detection for device pairing are described herein. One device includes a mechanism configured to detect physical contact between the device and a wireless device, a memory, and a processor configured to execute executable instructions stored in the memory to perform a pairing of the wireless device and the device only upon the mechanism detecting the physical contact between the device and the wireless device.

The invention relates to a method of determining a tip-to-tower clearance of a wind turbine, the wind turbine comprising a wind turbine tower, where a distance sensor unit is arranged on at least one wind turbine blade of the wind turbine and comprises at least a transmitter and a receiver, wherein the method comprises the steps of: transmitting a signal from the distance sensor unit toward the wind turbine tower, measuring a signal reflected from the wind turbine tower, determining a distance between the wind turbine tower and the at least one wind turbine blade based on the transmitted signal and the reflected signal, wherein the method further comprises the step of correcting the measured distance based on at least one of an actual pitch angle and a deflection angle of the at least one wind turbine blade at the location of the distance sensor unit.