Abstract: A fan assembly and an electronic device are provided in the present disclosure. The electronic device comprises a housing and the fan assembly mounted in the housing. The housing is provided with a receiving chamber, a first opening, and a second opening. The fan assembly includes a plurality of brackets, a fan unit, and a plurality of locking mechanisms. The fan unit includes a mounting plate and a plurality of fan sections. The fan unit may be fitted in the receiving chamber in a forward state or a backward state, to achieve a forward airflow or a backward airflow. Each of the plurality of fan sections may be locked to each bracket by each locking mechanism and be taken out from the receiving chamber with a corresponding bracket.

Abstract: The invention provides a semiconductor cleaning step, which comprises the following steps: providing a chamber with a bottom surface and a sidewall, the chamber contains a heater on the bottom surface, performing a first deposition step to leave a residual layer on the sidewall of the chamber, performing a carbon deposition step to form a carbon layer on at least the surface of the heater, and performing a plasma cleaning step to simultaneously remove the residual layer on the sidewall of the chamber and the carbon layer on the bottom surface.

Abstract: A method is disclosed to dynamically design acceleration units of neural networks. The method comprises steps of generating plural circuit description files through a neural network model; reading a model weight of the neural network model to determine a model data format of the neural network model; selecting one circuit description file from the plural circuit description files according to the model data format, so that the chip is reconfigured according to the selected circuit description file to form an acceleration unit adapted to the model data format. The acceleration unit is suitable for running a data segmentation algorithm, which may accelerate the inference process of the neural network model. Through this method the chip may be dynamically reconfigured into an efficient acceleration unit for the different model data format, thereby speeding up the inference process of the neural network model.

Abstract: An object detection method includes steps that are to be performed for each piece of point cloud data received from a lidar module, of selecting a first to-be-combined image from among images received from a camera device that corresponds in time to the piece of point cloud data, selecting a second to-be-combined image from among the images that is the Nth image before the first to-be-combined image in the time order, combining the first to-be-combined image and the second to-be-combined image to generate a combined image, generating a result image by incorporating the piece of point cloud data into the combined image, and inputting the result image into a trained machine learning model in order to determine a class to which each object in the result image belongs.

Abstract: A plurality of motion parameters is determined from a simulated object mesh. The plurality of motion parameters indicates movement speed information of a virtual character, a deformation rate of an object, and a deformation region size of the object. Based on a first audio parameter control and the plurality of motion parameters, a friction sound is obtained from a friction audio database that includes a plurality of sample friction sounds. The first audio parameter control is configured to control characteristics of the friction sound. Based on a second audio parameter control and the plurality of motion parameters, a crumpling sound is obtained from a crumpling audio database that includes a plurality of sample crumpling sounds, and the second audio parameter control is configured to control characteristics of the crumpling sound.

Abstract: A device including a first circuit, a second circuit. The first circuit to receive a first signal, a second signal, and a third signal, and the first circuit to provide a fourth signal and a fifth signal. The second circuit to receive the fourth signal and the fifth signal, and the second circuit to control a first set of components to maintain a difference between a first amount of power provided to a first terminal of a driver and a second amount of power provided to a second terminal of the driver or to control a second set of components to maintain the difference between the first amount of power provided to the first terminal of the driver and the second amount of power provided to the second terminal of the driver.

Abstract: A device including a first circuit, a second circuit, and a third circuit. The first circuit to receive a first signal and a second signal, and the first circuit to provide a third signal. The second circuit to receive a fourth signal and a fifth signal, and the second circuit to provide a sixth signal. The third circuit to receive the third signal and the sixth signal, and the third circuit to provide a seventh signal to indicate whether to track a difference between an amount of voltage provide to a driver and an amount of voltage provided by the driver or track a difference between an amount of voltage provided by a source and the amount of voltage provided to the driver.

Abstract: An anti-tampering mechanism includes a first bracket, a second bracket, and multiple conductive members. The second bracket is moveably covered on the first bracket, the multiple conductive members are randomly disposed in a plurality of receptacles in the second bracket. The second bracket is configured to deform to move toward the first bracket under pressure of a circuit board, the circuit board contacts with the conductive members to form an electrical connection, and the second bracket is further configured to restore to move away from the first bracket after the circuit board being removed, causing the conductive members to pop out of the receptacles. An electronic device including the anti-tampering mechanism is also provided to prevent unauthorized personnel from continuing to use the electronic device after disassembly or tampering the electronic device.

Abstract: The invention provides a semiconductor cleaning step, which comprises the following steps: providing a chamber with a bottom surface and a sidewall, the chamber contains a heater on the bottom surface, performing a first deposition step to leave a residual layer on the sidewall of the chamber, performing a carbon deposition step to form a carbon layer on at least the surface of the heater, and performing a plasma cleaning step to simultaneously remove the residual layer on the sidewall of the chamber and the carbon layer on the bottom surface.

Abstract: A circuit includes a driver to provide a voltage at a node of a load and a first circuit to facilitate determining a load current at the node. The load is a capacitive load and the first circuit facilitates determining the load current by measuring a replica current and determining a capacitance of the load using values of the voltage and the replica current.

Abstract: A fast calibration test system and method for a phased-array antenna, which belongs to the technical field of antenna measurement, relates to a near-field test system, and relates in particular to the fast calibration and a directional diagram test on a phased-array antenna.

Abstract: The present invention provides a composite static rotary table and a method for protecting a composite static rotary table. The composite static rotary table comprises: a housing body provided with a mounting space; a rotary table body driven by a connecting mandrel to rotate; a base, the connecting mandrel being arranged through the base; an air stopping film arranged between the rotary table body and the base; and an auxiliary supporting assembly fixedly arranged in the mounting space and configured for assisting the rotary table body to be levitated relative to the base. The present invention is intended to solve the problem of ensuring the stable non-contact rotation of the rotary body of the rotary table relative to the base, while improving the bearing capacity of the rotary table.

Abstract: A method for detecting an interior condition of a vehicle is provided to use a camera device and a radar device to acquire images and point cloud datasets with respect to an interior space of the vehicle. A computing device generates a synthesized image based on the images and the point cloud datasets, obtains a skeleton feature dataset and a facial feature dataset with respect to a living object in the synthesized image, and determines the interior condition of the vehicle based on the skeleton feature dataset and the facial feature dataset.

Abstract: An optical fiber combiner includes optical fiber components including a predetermined area and a refractive index portion formed on the predetermined area; a housing including a channel with the optical fiber components disposed through, fastening members for fastening the optical fiber components, and a cover for sealing the channel; and a conductive material disposed in the channel. In response to laser beams impinging on the optical fiber components, heat is generated by the refractive index portion, the heat is absorbed by the conductive material, and the heat is further transferred to the housing and the cover by thermal conduction for dissipation.

Abstract: A charger, a soft-start method, an electric vehicle, and a charging system. The charger includes a control module, a DC-DC conversion circuit, and a first capacitor. When the electric vehicle is charged, the control module in the charger may first control the DC-DC conversion circuit to charge the first capacitor by using battery electric energy output by a battery system, and after determining that a capacitance voltage of the first capacitor reaches a first threshold voltage, indicate a charging pile to output charging electric energy. A soft-start circuit does not need to be disposed in a soft-start process of the charger, which helps simplify a circuit of the charger and implement a miniaturization design of the charger.

Abstract: Systems and methods for upgrading the firmware of a wireless communication device (202). A wireless communication device (202) may comprise a first processor (204) and a first memory (206) configured to receive monitored data from one or more sensors (210), and wirelessly communicate the received monitored data.

Abstract: A method includes identifying a cell in the layout diagram as a violated cell that fails to pass one or more design rules related to IR drops, and classifying a root cause of the violated cell with a root cause class. The method also includes determining a searching area for searching safe region candidates, and finding a selected cell for moving based upon the root cause class of the root cause. The method further includes finding a safe region in the searching area for moving the selected cell, and moving the selected cell to the safe region if the safe region is found within the searching area.

Abstract: According to one aspect of the present disclosure, there is provided an apparatus that includes a battery, a Direct Current (DC) bus connected to the battery, and a DC to DC converter connected to the battery in parallel with the DC bus. A Motor Control Unit (MCU) is connected between the DC to DC converter and an electric motor. An Alternating Current (AC) port is connected to the electric motor. Switches connect the DC bus and an output of the DC to DC converter in series as an input to the MCU in a drive mode and disconnect the DC bus from the MCU in a charge mode.

Abstract: An object detection method includes steps that are to be performed for each piece of point cloud data received from a lidar module, of selecting a first to-be-combined image from among images received from a camera device that corresponds in time to the piece of point cloud data, selecting a second to-be-combined image from among the images that is the Nth image before the first to-be-combined image in the time order, combining the first to-be-combined image and the second to-be-combined image to generate a combined image, generating a result image by incorporating the piece of point cloud data into the combined image, and inputting the result image into a trained machine learning model in order to determine a class to which each object in the result image belongs.

Abstract: A power conversion module, a vehicle-mounted charger, and an electric vehicle may be used in the field of new energy vehicles. The power conversion module includes a power factor correction PFC module and a first direct current-direct current DC-DC converter. A first primary circuit of the first DC-DC converter has a first bridge arm, a second bridge arm, a third bridge arm, and a fourth bridge arm. A first switch is disposed between the first bridge arm and an inductor at an interface of the PFC module, and a second switch is disposed between the third bridge arm and another interface of the PFC module.