Abstract: An optical element driving mechanism is provided and includes a fixed assembly, a movable assembly, a driving assembly and a stopping assembly. The fixed assembly has a main axis. The movable assembly is configured to connect an optical element, and the movable assembly is movable relative to the fixed assembly. The driving assembly is configured to drive the movable assembly to move relative to the fixed assembly. The stopping assembly is configured to limit the movement of the movable assembly relative to the fixed assembly within a range of motion.

Abstract: A system for automatically placing virtual advertisements in sports videos, which includes a shot detection module, background extraction module, a calibration module and an asset placement module. The shot detection module detects the target shot of a sports video via a first trained model. The background extraction module performs a background extraction to extract the background of the first frame of the target shot to obtain a first background mask. The calibration module performs a camera calibration to detect a first transformation relation, between the first frame and a sport field template, via a second trained model. The asset placement module transforms an advertisement asset according to the first transformation relation to obtain a first transformed asset, and execute an asset placement to place the first transformed asset onto the first frame according to the first background mask to obtain a first image frame with placed advertisement.

Abstract: A magnetic multi-pole propulsion array system is applied to at least one external cathode and includes a plurality of magnetic multi-pole thrusters connected adjacent to each other. Each magnetic multi-pole thruster includes a propellant provider, a discharge chamber, an anode and a plurality of magnetic components. The propellant provider outputs propellant. The discharge chamber is connected with the propellant provider to accommodate the propellant. The anode is disposed inside the discharge chamber to generate an electric field. The plurality of magnetic components is respectively disposed on several sides of the discharge chamber. One of the several sides of the discharge chamber of the magnetic multi-pole thruster is applied for one side of a discharge chamber of another magnetic multi-pole thruster.

Abstract: A system for automatically placing virtual advertisements in sports videos, which includes a shot detection module, background extraction module, a calibration module and an asset placement module. The shot detection module detects the target shot of a sports video via a first trained model. The background extraction module performs a background extraction to extract the background of the first frame of the target shot to obtain a first background mask. The calibration module performs a camera calibration to detect a first transformation relation, between the first frame and a sport field template, via a second trained model. The asset placement module transforms an advertisement asset according to the first transformation relation to obtain a first transformed asset, and execute an asset placement to place the first transformed asset onto the first frame according to the first background mask to obtain a first image frame with placed advertisement.

Abstract: A sports event video processing method is provided. The processing method includes: receiving a sports event input video; performing SOI detection on the sports event input video to obtain at least one SOI; performing logo detection and extraction on the at least one SOI to detect at least one logo; performing pixel-level rearrangement on the at least one detected logo; and outputting a sports event output video having completed pixel-level rearrangement.

Abstract: A method of detecting a connection fault of an electric motor, applies to a driving mechanism of an inverter, and includes: measuring a three-phase stator current of the electric motor; transforming the three-phase stator current to acquire dual-axis current components in a stationary coordinate; calculating an angle of rotation of the electric motor according to the dual-axis current components; calculating an angular velocity according to the angle of rotation; comparing a frequency of the angular velocity with a frequency of an output voltage of the inverter; and determining that the electric motor occurs a connection fault if a difference between the frequency of the angular velocity and the frequency of the output voltage is greater than a predetermined frequency difference value.

Abstract: A current sensing correction method for a driving system is provided. Firstly, the detection values of a three-phase current are acquired through the measuring unit. When the three-phase current is maintained at the DC state, the DC values of the three-phase current are acquired and recorded as three-phase demagnetization values. When the detection values are zero, a d-axis current and a q-axis current are calculated according to the three-phase demagnetization values, a d-axis correction current command and a q-axis correction current command are calculated according to a proportional constant, the d-axis current and the q-axis current, and a three-phase demagnetization current is generated to the measuring unit according to the d-axis correction current command and the q-axis correction current command. When the demagnetization time reaches the first predetermined time, the three-phase demagnetization current is not generated.

Abstract: A motor demagnetization detection method includes the following steps. The speed of a motor is calculated according to the rotation angle of the motor. When determining that the motor respectively maintains a first and second steady state according to the speed, the three-phase current values of the motor are received to obtain first and second steady-state data. An equivalent magnetic flux is calculated according to the first and second steady-state data. The motor is repeatedly driven to maintain the first and second steady states, the first and second steady-state data are updated according to the three-phase current values, and the equivalent magnetic flux is again calculated to generate equivalent magnetic fluxes. A magnetic flux change is calculated according to equivalent magnetic fluxes. A demagnetization warning is issued according to a comparison of the magnetic flux change and a demagnetization warning value.

Abstract: An estimation method for estimating a rotor frequency of a motor during freewheeling, includes: applying a fixed input voltage and one selected from a plurality of stator frequencies to the motor sequentially so as to perform frequency scanning; detecting a stator current value of the motor corresponding to the selected stator frequency; calculating a stator current slope of the stator current values sequentially; defining a target period from a start point where the stator current slope varies from positive to negative to an end point where the stator current slope varies from negative to positive; and determining that a difference between the scanned stator frequency and the rotor frequency is within a preset value, then designating any of the corresponding stator frequencies during the target period as an estimated value of the rotor frequency.

Abstract: A motor demagnetization detection method includes the following steps. The speed of a motor is calculated according to the rotation angle of the motor. When determining that the motor respectively maintains a first and second steady state according to the speed, the three-phase current values of the motor are received to obtain first and second steady-state data. An equivalent magnetic flux is calculated according to the first and second steady-state data. The motor is repeatedly driven to maintain the first and second steady states, the first and second steady-state data are updated according to the three-phase current values, and the equivalent magnetic flux is again calculated to generate equivalent magnetic fluxes. A magnetic flux change is calculated according to equivalent magnetic fluxes. A demagnetization warning is issued according to a comparison of the magnetic flux change and a demagnetization warning value.

Abstract: An estimating method includes the following steps. Firstly, if the electrical machine control system is in the generator mode, a bus voltage of the bus capacitor is monitored continuously. Then, if the switch is turned to an on state, a first current value of a current flowing through the bus capacitor during an off state of the switch is calculated. Then, the switch is turned to the on state. Then, if the switch is turned to the off state, a second current value of a current flowing through the bus capacitor during the on state of the switch is calculated, and a resistance value of the braking resistor is estimated according to the first current value and the second current value.

Abstract: The present disclosure provides a method of training artificial intelligence to estimate a lifetime of a storage device, which includes steps of: determining whether an operating parameter of the storage device executing a processing program on bit value values is smaller than an operational threshold parameter or not, if yes, decoding the bit value values stored in the storage device by a decoder; determining whether the bit value values stored in the storage device are successfully decoded by the decoder or not, if yes, classifying the memory unit of the storage device into a strong correct region, a weak correct region, a strong error region or a weak error region; determining whether the number of the memory units falls within an allowable number range or not, if not, initiating an artificial intelligence neural network system to use machine learning to estimate the lifetime of the storage device.

Abstract: A current sensing correction method for a driving system is provided. Firstly, the detection values of a three-phase current are acquired through the measuring unit. When the three-phase current is maintained at the DC state, the DC values of the three-phase current are acquired and recorded as three-phase demagnetization values. When the detection values are zero, a d-axis current and a q-axis current are calculated according to the three-phase demagnetization values, a d-axis correction current command and a q-axis correction current command are calculated according to a proportional constant, the d-axis current and the q-axis current, and a three-phase demagnetization current is generated to the measuring unit according to the d-axis correction current command and the q-axis correction current command. When the demagnetization time reaches the first predetermined time, the three-phase demagnetization current is not generated.

Abstract: A method of detecting a connection fault of an electric motor, applies to a driving mechanism of an inverter, and includes: measuring a three-phase stator current of the electric motor; transforming the three-phase stator current to acquire dual-axis current components in a stationary coordinate; calculating an angle of rotation of the electric motor according to the dual-axis current components; calculating an angular velocity according to the angle of rotation; comparing a frequency of the angular velocity with a frequency of an output voltage of the inverter; and determining that the electric motor occurs a connection fault if a difference between the frequency of the angular velocity and the frequency of the output voltage is greater than a predetermined frequency difference value.

Abstract: An estimation method for estimating a rotor frequency of a motor during freewheeling, includes: applying a fixed input voltage and one selected from a plurality of stator frequencies to the motor sequentially so as to perform frequency scanning; detecting a stator current value of the motor corresponding to the selected stator frequency; calculating a stator current slope of the stator current values sequentially; defining a target period from a start point where the stator current slope varies from positive to negative to an end point where the stator current slope varies from negative to positive; and determining that a difference between the scanned stator frequency and the rotor frequency is within a preset value, then designating any of the corresponding stator frequencies during the target period as an estimated value of the rotor frequency.

Abstract: An estimating method includes the following steps. Firstly, if the electrical machine control system is in the generator mode, a bus voltage of the bus capacitor is monitored continuously. Then, if the switch is turned to an on state, a first current value of a current flowing through the bus capacitor during an off state of the switch is calculated. Then, the switch is turned to the on state. Then, if the switch is turned to the off state, a second current value of a current flowing through the bus capacitor during the on state of the switch is calculated, and a resistance value of the braking resistor is estimated according to the first current value and the second current value.

Abstract: The present disclosure provides a method of training artificial intelligence to estimate a lifetime of a storage device, which includes steps of: determining whether an operating parameter of the storage device executing a processing program on bit value values is smaller than an operational threshold parameter or not, if yes, decoding the bit value values stored in the storage device by a decoder; determining whether the bit value values stored in the storage device are successfully decoded by the decoder or not, if yes, classifying the memory unit of the storage device into a strong correct region, a weak correct region, a strong error region or a weak error region; determining whether the number of the memory units falls within an allowable number range or not, if not, initiating an artificial intelligence neural network system to use machine learning to estimate the lifetime of the storage device.

Abstract: A method of training artificial intelligence to execute a decoding program of a low density parity check code, which includes steps of: providing check nodes and variable nodes; outputting accessed bit values stored in memory units to the variable nodes; providing initial log-likelihood ratios to the variable nodes; decoding the accessed bit values based on the initial log-likelihood ratios to output decoded bit values at the variable nodes; executing checking programs at the check nodes to determine whether or not the decoded bit values are equal to data bit values to be stored in the memory units, if yes, outputting a correct message, if not, outputting an error message and then executing the next step; initiating an artificial intelligence neural network system to use machine learning to analyze practical log-likelihood ratios; and decoding the accessed bit values based on the practical log-likelihood ratios at the variable nodes.

Abstract: A method of training artificial intelligence to estimate sensing voltages for a storage device is provided, which includes steps of: supplying initial sensing voltages to memory units; defining various storing states; comparing threshold voltages of the memory units with the initial sensing voltages to classify the memory units; calculating a ratio of the number of the memory units in a strong correct region to the number of in the strong correct region and a weak correct region; calculating a ratio of the number of the memory units in a strong error region to the number of in the strong error region and a weak error region; calculating the number of the memory units in the weak correct and error regions to obtain a histogram parameter; inputting the ratios and parameter to an artificial intelligence neural network; and using machine learning to analyze practical sensing voltages.

Abstract: A method of training artificial intelligence to estimate sensing voltages for a storage device is provided, which includes steps of: supplying initial sensing voltages to memory units; defining various storing states; comparing threshold voltages of the memory units with the initial sensing voltages to classify the memory units; calculating a ratio of the number of the memory units in a strong correct region to the number of in the strong correct region and a weak correct region; calculating a ratio of the number of the memory units in a strong error region to the number of in the strong error region and a weak error region; calculating the number of the memory units in the weak correct and error regions to obtain a histogram parameter; inputting the ratios and parameter to an artificial intelligence neural network; and using machine learning to analyze practical sensing voltages.