A body characteristic measurement method causing a computer to execute a process, the process includes: determining a gait of a quadruped based on accelerations, acquired from a multi-axis acceleration sensor attached to the chest of the quadruped, in multiple axial directions; and determining, if the determined gait is gallop or canter, an injury risk of the quadruped based on a waveform of a positive half-wave region of acceleration in a movement direction of the quadruped in the case where an increase in the acceleration in the movement direction of the quadruped is defined as positive.

A body characteristic measurement method causing a computer to execute a process, the process includes: determining a gait of a quadruped based on accelerations, acquired from a multi-axis acceleration sensor attached to the chest of the quadruped, in multiple axial directions; and determining, if the determined gait is gallop or canter, an injury risk of the quadruped based on a waveform of a positive half-wave region of acceleration in a movement direction of the quadruped in the case where an increase in the acceleration in the movement direction of the quadruped is defined as positive.

A system for locating an optimal location of a reception antenna that has an unmanned aerial vehicle (UAV), a wireless internet service provider (WISP) tower configured for transmitting radio signals, and an antenna removably coupled to the unmanned aerial vehicle, the antenna configured for receiving the radio signals. Further, the system has a processor for automatically flying the UAV to a height, for rotating the unmanned aerial vehicle at the height and detecting the radio signals from the at least one WISP tower as the UAV rotates to determine an optimal azimuth, and if the radio signals received are not conducive for the provision of wireless services at the height, the processor moves the UAV to different heights and rotates the UAV until radio signals received are conducive for the provision of wireless services thereby determining an optimal azimuth and location altitude range for a reception antenna.

A system for locating an optimal location of a reception antenna that has an unmanned aerial vehicle (UAV), a wireless internet service provider (WISP) tower configured for transmitting radio signals, and an antenna removably coupled to the unmanned aerial vehicle, the antenna configured for receiving the radio signals. Further, the system has a processor for automatically flying the UAV to a height, for rotating the unmanned aerial vehicle at the height and detecting the radio signals from the at least one WISP tower as the UAV rotates to determine an optimal azimuth, and if the radio signals received are not conducive for the provision of wireless services at the height, the processor moves the UAV to different heights and rotates the UAV until radio signals received are conducive for the provision of wireless services thereby determining an optimal azimuth and location altitude range for a reception antenna.

A data processing device includes an internal volume that is electromagnetic interference (EMI) isolated. The data processing device further includes an electromagnetic radiation (EMR) suppressing vent that defines one wall of the internal volume. The data processing device further includes a wireless system. The wireless system includes a first portion that is disposed in the internal volume. The first portion receives network data units from EMI emitting devices disposed in the internal volume and a second portion of the wireless system. The second portion is disposed outside of the internal volume and obtains the network data units from the first portion using a wireless connection that utilizes a transmission path that traverses through the EMR suppressing vent.

A system that has an unmanned aerial vehicle (UAV) and a physical cell identity (PCI) scanner coupled to the UAV, the scanner covering frequencies using an omni-directional or directional antenna for capturing PCI data. The system further has logic configured to geotag the PCI data with a latitude, a longitude, an altitude, and a direction of the UAV, save the data in files for analyzation, and generate three-dimensional models using the geotag PCI data to find weak points in signal coverage.

A system that has an unmanned aerial vehicle (UAV) and a physical cell identity (PCI) scanner coupled to the UAV, the scanner covering frequencies using an omni-directional or directional antenna for capturing PCI data. The system further has logic configured to geotag the PCI data with a latitude, a longitude, an altitude, and a direction of the UAV, save the data in files for analyzation, and generate three-dimensional models using the geotag PCI data to find weak points in signal coverage.

An electronic device configured to communicatively couple to a programmable logic controller (PLC). The electronic device includes a controller and a graphics processing unit (GPU). The controller is configured to receive signals from the PLC. The electronic device is configured to couple the controller to the PLC via a communications line. The received signals are extracted from the PLC by the controller. The GPU is configured to sample the received signals and to arrange the sampled signals as a graphical signal representation. The GPU is configured to process the graphical signal representation and prepare the processed graphical signal representation for transmission to a cloud-computing environment. The GPU is also configured to process the graphical signal representation to detect errors in the graphical signal representation which are indicative of errors in the process.

Provided is a zero-crossing detection circuit capable of detecting zero-crossing with high accuracy without being influenced by noise. The zero-crossing detection circuit includes a first comparison circuit, a second comparison circuit having a hysteresis function, and a logic circuit. The first comparison circuit is configured to output a zero-crossing detection result of a first input signal and a second input signal. The second comparison circuit is configured to output a comparison result of the first input signal and the second input signal. The logic circuit includes a unit configured to determine whether to reflect the zero-crossing detection result to output of the logic circuit based on the zero-crossing detection result and the comparison result.

A method for minimizing center frequency shift and linearity errors encountered in YIG filters, comprising the following steps: automatically generating data packages in test unit depending on the user request or containing all filter characteristic states and transmitting them to the driver circuit, adjusting the desired voltage level by means of the digital to analog converters contained in the structure of the data packages received by the driver circuit, and transmitting the adjusted voltage level to the YIG filter, measuring filter characteristics (scattering parameters) corresponding to the data packages transmitted to the YIG filter in the analyser, in order to calculate the center frequency shift of the filter, determining the center frequency and linearity calculations, and recording the characteristic features measured by the analyser in the test unit.