Abstract: A cross-coupling control method for moving beam of gantry machine tool is disclosed, which relates to the technical field of CNC machine tool control. The cross-coupling control method includes: Step 1: establishing a crossbeam dynamics model considering a ram on the crossbeam, and at the same time simplifying the model for an observer design; step 2: realizing a PID control parameter adjustment of motors at both ends in accordance with a method of parameter tuning of a unilateral servo control system; using a servo system with the same control parameters to jointly drive the crossbeam up and down, realizing the synchronous control and realizing PID control parameter tuning for both end motors. The disclosure not only reduces the synchronization error caused by the torsion of the crossbeam, but also solves the synchronization error caused by the asymmetric load on both sides, and improves the system robustness and stability.

Abstract: An unloading device and an unloading method for a gantry-type machining center beam guide rail is disclosed, which is used to be installed on a sliding plate assembly, comprising a first booster mechanism and a second booster mechanism. When a worm rotates and drives a worm gear to rotate, an axial displacement can be generated by the worm gear along a worm gear shaft to push the retaining sleeve assembly, and an unloading force generated acts on a first mounting bracket. An unloading bolt of the second booster mechanism is connected with a press plate through threads, the unloading bolt is rotated to generate an axial displacement, and a second sliding block is pressed tightly against an unloading guide rail vertical surface by a second mounting bracket to generate an unloading force.

Abstract: In one embodiment, a system includes an automatic speech recognition (ASR) module, a natural-language understanding (NLU) module, a dialog manager, one or more agents, an arbitrator, a delivery system, one or more processors, and a non-transitory memory coupled to the processors comprising instructions executable by the processors, the processors operable when executing the instructions to receive a user input, process the user input using the ASR module, the NLU module, the dialog manager, one or more of the agents, the arbitrator, and the delivery system, and provide a response to the user input.

Abstract: In one embodiment, a method includes receiving a voice input having first audio features at a client system, generating a text response corresponding to the voice input, wherein the text response is associated with style features, generating an output audio waveform of the text response by a text-to-speech model on the client system, wherein the output audio waveform is generated based on the first audio features and the style features, wherein the output audio waveform comprises second audio features, and rendering the output audio waveform at the client system in response to the voice input.

Abstract: In one embodiment, a method includes receiving a voice input from a user and determining a first style of the voice input, based on first features extracted from the voice input. A second style for a voice response having second features may then be determined based on the first style. Finally, the voice response may be generated based on the second features of the second style, and this voice response may be provided in response to the voice input.

Abstract: An application optimization method, a storage medium, and an electronic equipment are provided, wherein the method is applied to the electronic equipment executing following steps: determining an application to be optimized in the electronic equipment through a system process; obtaining a count of interface switches of the application to be optimized; when the count of interface switches of the application to be optimized is greater than a predetermined count, obtaining a data volume of a file of the application to be optimized; and when the data volume is greater than a preset threshold, optimizing the file of the application to be optimized. The application is not required to wait for 24 hours before optimization, and can be optimized promptly according to the condition of the application, so the optimization efficiency of the application is improved, and the performance of the application is also improved.