Abstract: A rehabilitation device is adapted for wrist rehabilitation, and includes two magnetic actuators and a movable frame unit. Each of the magnetic actuator includes a motor, a rotating shaft, a rotating member, and two magnetic coupling subunits that are respectively connected to the motor and the rotating shaft. Each of the magnetic coupling subunits includes a magnetic ring that has a plurality of N pole portions and a plurality of S pole portions alternately arranged about a center of the magnetic ring. For each of the magnetic actuators, when one of the magnetic coupling subunits that is connected to the motor is driven by the motor to rotate, the other one of the magnetic coupling subunits that is connected to the rotating shaft is urged to rotate by attraction between the magnetic rings of the magnetic coupling subunits such that the rotating shaft and the rotating member rotate.

Abstract: A system having a camera assembly and a communication coupling extending from the camera assembly is provided. The camera assembly can include a first enclosure having a first window and a second enclosure having a second window. The second enclosure can be opposite the first enclosure and couple with the first enclosure to form a cavity. The camera assembly can include a port disposed in one of the first enclosure and the second enclosure and a dual-facing camera disposed within the cavity. The dual facing camera can have a first camera facing a first direction and a second camera facing a second direction opposite the first direction. The first camera can align with the first window and the second camera can align with the second window when the dual-facing camera is disposed within the cavity. The communication coupling can couple with the dual-facing camera and extend through the port.

Abstract: A vehicle power management system and a power management method thereof are provided. The power management method includes: determining, by a microcontroller, whether or not a voltage of an ignition-off signal is less than a voltage threshold when the microcontroller receives the ignition-off signal; stopping a vehicle power supply from charging a backup battery, and using the vehicle power supply to charge a back-end load; activating a counter of the microcontroller; stopping the vehicle power supply from charging the back-end load, and using the backup battery to charge the back-end load when a counting time of the counter reaches a first time threshold; sending, by the microcontroller, the ignition-off signal to the back-end load when the counting time of the counter reaches a second time threshold; and stopping the backup battery from charging the back-end load when the counting time of the counter reaches a third time threshold.

Abstract: A display and a dehumidification method thereof are disclosed. The method includes the following. An interval time from a previous dehumidification process is calculated, and the interval time is compared with a threshold time. When the interval time exceeds the threshold time, a first reminder window is displayed for a user to choose whether to perform a dehumidification process when the dehumidification process or booting is executed automatically in a shutdown state. It is determined whether to limit a brightness of a display panel of the display according to a selecting operation with regard to the dehumidification process.

Abstract: A device operates to perform acoustic echo cancellation. The device includes a speaker to output a far-end signal at the device, a microphone to receive at least a near-end signal and the far-end signal from the speaker to produce a microphone output, and an AI accelerator operative to perform neural network operations according to a first neural network model and a second neural network model to output an echo-suppressed signal. The device further includes a digital signal processing (DSP) unit. The DSP unit is operative to perform adaptive filtering to remove at least a portion of the far-end signal from the microphone output to generate a filtered near-end signal, and perform Fast Fourier Transform (FFT) and inverse FFT (IFFT) to generate input to the first neural network model and the second neural network model, respectively.

Abstract: A vehicle power management system and a power management method thereof are provided. The power management method includes: determining, by a microcontroller, whether or not a voltage of an ignition-off signal is less than a voltage threshold when the microcontroller receives the ignition-off signal; stopping a vehicle power supply from charging a backup battery, and using the vehicle power supply to charge a back-end load; activating a counter of the microcontroller; stopping the vehicle power supply from charging the back-end load, and using the backup battery to charge the back-end load when a counting time of the counter reaches a first time threshold; sending, by the microcontroller, the ignition-off signal to the back-end load when the counting time of the counter reaches a second time threshold; and stopping the backup battery from charging the back-end load when the counting time of the counter reaches a third time threshold.

Abstract: Aspects discussed herein include an electronic device and an associated connector interface. The electronic device comprises an enclosure that defines an internal volume, a plurality of external surfaces, and a recess from an external surface of the plurality of external surfaces. The recess has circumferential slot(s) extending to the external surface and that receive flange(s) of an external connector. The electronic device further comprises a connector interface connected with one or more electronic components disposed in the internal volume. The connector interface comprises first conductor(s) that are exposed at the recess. While the flange(s) are received in the circumferential slot(s), rotation of the external connector causes the flange(s) to slide within the circumferential slot(s) into a retained position, in which second conductor(s) of the external connector, having a fixed disposition relative to the flange(s), are connected to the first conductor(s).

Abstract: The acoustic echo cancellation (AEC) system includes a loudspeaker interface coupled to a loudspeaker, a microphone interface coupled to a microphone, and a processor executing a model. The model predicts and generates a spectral magnitude mask (SMM) through a neural network according to a first microphone signal output by the loudspeaker and a second microphone signal output by the microphone, wherein a noisy speech signal is a sum of a clean speech signal and a noise signal; the SMM is a ratio of a spectral magnitude of an estimated speech signal and a spectral magnitude of the noisy speech signal; a true mask is a ratio of a spectral magnitude of the clean speech signal and the spectral magnitude of the noisy speech signal; and the model applies a power function to a loss function of the model according to the true mask and a magnitude of the true mask.

Abstract: An acoustic echo cancellation (AEC) system includes an adaptive filter, a subtraction circuit, and a processor executing a model. The adaptive filter is arranged to generate an estimated echo signal according to a first microphone signal played by a loudspeaker. The subtraction circuit is arranged to subtract the estimated echo signal from a signal that is output from a microphone receiving both of a speech signal and an echo signal, to generate a second microphone signal, wherein the first microphone signal is not output from the microphone, and the echo signal is transmitted from the loudspeaker to the microphone. The model is arranged to perform short-time Fourier transform upon the first microphone signal and the second microphone signal, respectively, and generate an estimated speech signal through a neural network according to a first transformed microphone signal and a second transformed microphone signal.

Abstract: An acoustic echo cancellation (AEC) system includes a loudspeaker interface coupled to a loudspeaker, a microphone interface coupled to a microphone, and a processor executing a model. The model is arranged to predict and generate a spectral magnitude mask (SMM) through a neural network according to a first microphone signal output by the loudspeaker and a second microphone signal output by the microphone, wherein a noisy speech signal is a sum of a clean speech signal and a noise signal; the SMM is a ratio of a spectral magnitude of an estimated speech signal and a spectral magnitude of the noisy speech signal; a true mask is a ratio of a spectral magnitude of the clean speech signal and the spectral magnitude of the noisy speech signal; and a loss function of the model is a mean square error between the SMM and the true mask.

Abstract: A display and a dehumidification method thereof are disclosed. The method includes the following. An interval time from a previous dehumidification process is calculated, and the interval time is compared with a threshold time. When the interval time exceeds the threshold time, a first reminder window is displayed for a user to choose whether to perform a dehumidification process when the dehumidification process or booting is executed automatically in a shutdown state. It is determined whether to limit a brightness of a display panel of the display according to a selecting operation with regard to the dehumidification process.

Abstract: A device operates to perform acoustic echo cancellation. The device includes a speaker to output a far-end signal at the device, a microphone to receive at least a near-end signal and the far-end signal from the speaker to produce a microphone output, and an AI accelerator operative to perform neural network operations according to a first neural network model and a second neural network model to output an echo-suppressed signal. The device further includes a digital signal processing (DSP) unit. The DSP unit is operative to perform adaptive filtering to remove at least a portion of the far-end signal from the microphone output to generate a filtered near-end signal, and perform Fast Fourier Transform (FFT) and inverse FFT (IFFT) to generate input to the first neural network model and the second neural network model, respectively.

Abstract: A fixed-sensor finger action detecting glove has a glove body, five covering sheets, five fixing bases, five sensors, and five fixing assemblies. A side of the glove body forms a hand back section and five finger back sections. The covering sheet is mounted on the finger back section and forms a passage. The fixing base is made from a flexible material, is mounted through the passage, and has two limiting walls. The sensor is located in the passage between the two limiting walls, preventing the sensor from deviating. The fixing assembly is mounted between an end of the sensor and an end of the finger back section, detachably connects the sensor and the finger back section, and prevents the sensor from moving back and forth. Thus, the fixed-sensor finger action detecting glove is capable of detecting actions of the fingers precisely.

Abstract: A cooling structure for rotary electric machine is provided. The cooling structure for rotary electric machine comprises a sleeve, a plurality of dividers, a plurality of first walls and a plurality of second walls. The sleeve comprises an annular surface of a first half annular surface and a second half annular surface. The dividers are configured on the annular surface of the sleeve in parallel to provide multiple channels. The first walls are configured on the first half annular surface and between multiple corresponding dividers to provide multiple first division regions. The second walls are configured on the second half annular surface and between multiple corresponding dividers to provide multiple first division regions wherein the first division regions are asymmetric to the second division regions.

Abstract: A cooling structure for rotary electric machine is provided. The cooling structure for rotary electric machine comprises a sleeve and a plurality of dividers. The sleeve comprises an annular surface of a first half annular surface and a second half annular surface. The major dividers are configured on the annular surface of the sleeve in parallel to provide multiple major channels wherein each major divider comprises a major notch. The neighboring major dividers comprise two major notches configured on the first half annular surface and the second half annular surface respectively.

Abstract: A cooling structure for rotary electric machine is provided. The cooling structure for rotary electric machine comprises a sleeve, a plurality of dividers, a plurality of first walls and a plurality of second walls. The sleeve comprises an annular surface of a first half annular surface and a second half annular surface. The dividers are configured on the annular surface of the sleeve in parallel to provide multiple channels. The first walls are configured on the first half annular surface and between multiple corresponding dividers to provide multiple first division regions. The second walls are configured on the second half annular surface and between multiple corresponding dividers to provide multiple first division regions wherein the first division regions are asymmetric to the second division regions.

Abstract: A fixed-sensor finger action detecting glove has a glove body, five covering sheets, five fixing bases, five sensors, and five fixing assemblies. A side of the glove body forms a hand back section and five finger back sections. The covering sheet is mounted on the finger back section and forms a passage. The fixing base is made from a flexible material, is mounted through the passage, and has two limiting walls. The sensor is located in the passage between the two limiting walls, preventing the sensor from deviating. The fixing assembly is mounted between an end of the sensor and an end of the finger back section, detachably connects the sensor and the finger back section, and prevents the sensor from moving back and forth. Thus, the fixed-sensor finger action detecting glove is capable of detecting actions of the fingers precisely.

Abstract: A stator for the rotary electric machine including an outer yoke, an inner yoke and a plurality of coils is provided. The inner yoke is coaxially held within the outer yoke, and includes a plurality of teeth and a plurality of slots. The teeth are extending from the center of the stator radially and alternately. The slots are configured between the neighboring teeth. The coils are wound on the teeth respectively to provide a gap between the neighboring coils wherein the gap comprises a gap area equal to or less than 20% of a slot area. Therefore, the stator for the rotary electric machine provides higher torque and the motor efficiency by increasing the coil area factor.

Abstract: An active noise control system and associated auto-selection method for modeling a secondary path for the active noise control system are provided. The method includes the steps of: receiving a reference signal; filtering the reference signal with a secondary-path estimation filter to obtain a filtered reference signal, wherein the secondary path estimation filter is determined from a plurality of candidate secondary-path estimation filters; filtering the reference signal with an adaptive filter to provide a compensation signal; sensing a residual noise signal at a listening position of the active noise control system; and adapting filter coefficients of the adaptive filter according to the residual noise signal and the filtered reference signal.

Abstract: An active noise control system and associated auto-selection method for modeling a secondary path for the active noise control system are provided. The method includes the steps of: receiving a reference signal; filtering the reference signal with a secondary-path estimation filter to obtain a filtered reference signal, wherein the secondary path estimation filter is determined from a plurality of candidate secondary-path estimation filters; filtering the reference signal with an adaptive filter to provide a compensation signal; sensing a residual noise signal at a listening position of the active noise control system; and adapting filter coefficients of the adaptive filter according to the residual noise signal and the filtered reference signal.