Abstract: A process for improving the performance of the sliding rheostat of 5G communication high-frequency signal board with the sliding rheostat slides along between two bonding pads, includes the following steps: outer layer etching; resin plugging: a. plugging the resinous ink into the pre-plugging position; b: baking, baking on the baking plate of the oven after the plugging is finished: board polishing: using a ceramic brush to process the plugged board, then using a non-woven fabric blush to polish the surface that is polished by ceramic brush. The present invention provides a process for improving the performance of the sliding rheostat of 5G communication high-frequency signal board. The resin plugging method is used to plug the gap between the conductors of the sliding rheostat, so as to prevent the sliding rheostat from being unable to slide due to the altitude difference between conductors of the high-frequency signal board.

Abstract: A gold-plating etching process for 5G high-frequency signal boards is carried out according to the following steps: the outer dry film, the plug gold-plating, the film removing, and the alkaline etching The alkaline etching solution comprises 100 to 150 g/L. of cupric chloride, 90 to 120 g/L of ammonium chloride, and ammonia. The pH value is 9.6 to 9.8. The ratio of the ammonia and the alkaline etching solution is (550-800):1000. The present invention provides a gold-plating etching process of 5G high-frequency signal boards. The alkaline etching procedure is performed right after gold-plating, eliminating the outer etching process after gold-plating. Costs of the outer film pressing, the exposure, and the development can be saved. The flow rate is improved. Requirements of 5G communication circuit boards are satisfied. That is, the transmission speed of 5G communication high-frequency signal boards of the present invention is fast.

Abstract: A switch mode power supply includes an input, an output, and a power converter coupled between the input and the output. The power converter includes a transformer having a primary side and a secondary side, and a clamping circuit. The clamping circuit has a switching device coupled to the primary side of the transformer. The power supply further includes a control circuit coupled to the switching device. The control circuit includes at least one isolation component. The control circuit is configured to receive a signal from the secondary side of the transformer via the at least one isolation component, and control the switching device coupled to the primary side of the transformer in response to the signal received from the secondary side of the transformer via the at least one isolation component. Other example power supplies, power converters, control circuits, etc. are also disclosed.

Abstract: An optoelectronic device comprises a nanocomposite comprising a carbon nanostructure having a surface and a bio molecule adsorbed on the surface and forming a heterojunction at the interface of the carbon nanostructure and the biomolecule, the carbon nanostructure and the biomolecule each characterized by respective conduction band edges and valence band edges. The device further comprises first and second electrodes in electrical communication with the nanocomposite. The conduction band edge offset, the valence band edge offset, or both, across the heterojunction is greater in energy than the binding energy of an exciton generated in the carbon nanostructure or the biomolecule upon the absorption of light such that the exciton dissociates at the heterojunction to an electron, which is injected into one of the carbon nanostructure and the biomolecule, and a hole, which is injected into the other of the carbon nanostructure and the biomolecule.

Abstract: An intelligent scoring method and system for a text objective question, the method comprising: acquiring an answer image of a text objective question (101); segmenting the answer image to obtain one or more segmentation results of an answer string to be identified (102); determining whether any of the segmentation results has the same number of characters as the standard answer (103); if no, the answer is determined to be wrong (106); otherwise, calculating identification confidence of the segmentation result having the same number of words as the standard answer, and/or calculating the identification confidence of respective characters in the segmentation result having the same number of words as the standard answer (104); determining whether the answer is correct according to the calculated identification confidence (105). The method can automatically score text objective questions, thus reducing consumption of human resource, and improving scoring efficiency and accuracy.

Abstract: A switch mode power supply includes an input, an output, and a power converter coupled between the input and the output. The power converter includes a transformer having a primary side and a secondary side, and a clamping circuit. The clamping circuit has a switching device coupled to the primary side of the transformer. The power supply further includes a control circuit coupled to the switching device. The control circuit includes at least one isolation component. The control circuit is configured to receive a signal from the secondary side of the transformer via the at least one isolation component, and control the switching device coupled to the primary side of the transformer in response to the signal received from the secondary side of the transformer via the at least one isolation component. Other example power supplies, power converters, control circuits, etc. are also disclosed.

Abstract: A power factor correction (PFC) stage of a power supply unit has a PFC circuit including a rectifier circuit, a PFC controller circuit with a PFC switch, a current sensor connected to the PFC switch, a high frequency bypass capacitor connected between the PFC controller circuit and the rectifier circuit, and a bulk storage capacitor connected between the PFC controller circuit and an output of the PFC stage. The PFC stage also has a negative temperature coefficient thermistor connected in series with the PFC switch and the current sensor. During a start-up of the power supply unit, the PFC controller circuit causes the PFC switch to turn-on until the PFC controller circuit causes the PFC switch to turn-off after a current through the current sensor is sensed as being equal to or greater than a preset value.

Abstract: The present invention relates to a speech recognition method and system based on user personalized information. The method comprises the following steps: receiving a speech signal; decoding the speech signal according to a basic static decoding network to obtain a decoding path on each active node in the basic static decoding network, wherein the basic static decoding network is a decoding network associated with a basic name language model; if a decoding path enters a name node in the basic static decoding network, network extending is carried out on the name node according to an affiliated static decoding network of a user, wherein the affiliated static decoding network is a decoding network associated with a name language model of a particular user; and returning a recognition result after the decoding is completed. The recognition accuracy rate of user personalized information in continuous speech recognition may be raised by using the present invention.

Abstract: An example of the present invention discloses a speech separation method and a system, the method comprises: receiving a mixture speech signal to be separated; extracting a speech feature of the mixture speech signal; inputting the extracted speech feature of the mixture speech signal into a regression model for speech separation, obtaining an estimated speech feature of a target speech signal; synthesizing to obtain the target speech signal according to the estimated speech feature. Speech separation effect can be improved effectively using the present invention.

Abstract: A method and system for endpoint automatic detection of audio record is provided. The method comprises the following steps: acquiring a audio record text and affirming the text endpoint acoustic model for the audio record text; starting acquiring the audio record data of each frame in turn from the audio record start frame in the audio record data; affirming the characteristics acoustic model of the decoding optimal path for the acquired current frame of the audio record data; comparing the characteristics acoustic model of the decoding optimal path acquired from the current frame of the audio record data with the endpoint acoustic model to determine if they are the same; if yes, updating a mute duration threshold with a second time threshold, wherein the second time threshold is less than a first time threshold. This method can improve the recognizing efficiency of the audio record endpoint.

Abstract: The present invention relates to a speech recognition method and system based on user personalized information. The method comprises the following steps: receiving a speech signal; decoding the speech signal according to a basic static decoding network to obtain a decoding path on each active node in the basic static decoding network, wherein the basic static decoding network is a decoding network associated with a basic name language model; if a decoding path enters a name node in the basic static decoding network, network extending is carried out on the name node according to an affiliated static decoding network of a user, wherein the affiliated static decoding network is a decoding network associated with a name language model of a particular user; and returning a recognition result after the decoding is completed. The recognition accuracy rate of user personalized information in continuous speech recognition may be raised by using the present invention.

Abstract: A method and system for endpoint automatic detection of audio record is provided. The method comprises the following steps: acquiring a audio record text and affirming the text endpoint acoustic model for the audio record text; starting acquiring the audio record data of each frame in turn from the audio record start frame in the audio record data; affirming the characteristics acoustic model of the decoding optimal path for the acquired current frame of the audio record data; comparing the characteristics acoustic model of the decoding optimal path acquired from the current frame of the audio record data with the endpoint acoustic model to determine if they are the same; if yes, updating a mute duration threshold with a second time threshold, wherein the second time threshold is less than a first time threshold. This method can improve the recognizing efficiency of the audio record endpoint.