Abstract: Exemplary methods of forming a silicon-and-carbon-containing material may include flowing a silicon-oxygen-and-carbon-containing precursor into a processing region of a semiconductor processing chamber. A substrate may be housed within the processing region of the semiconductor processing chamber. The methods may include forming a plasma within the processing region of the silicon-and-carbon-containing precursor. The plasma may be formed at a frequency less than 15 MHz (e.g., 13.56 MHz). The methods may include depositing a silicon-and-carbon-containing material on the substrate. The silicon-and-carbon-containing material as-deposited may be characterized by a dielectric constant below or about 3.5 and a hardness greater than about 3 Gpa.

Abstract: A blending device (100) is provided including a blade assembly (106) having a blade coupling structure, the blade coupling structure comprising a set of blade electrical connectors (128). The blending device also includes a blender base assembly (104) having a base coupling structure, the base coupling structure comprising a plurality of base electrical connector coupler sets (130A-130C). Each base electrical connector coupler set corresponds with a coupling position of the blade coupling structure and the base coupling structure. The blade assembly and the blender base assembly are electrically coupled in a closed configuration in which the set of blade electrical connectors is in contact with one of the plurality of base electrical connector coupler sets. A method of manufacturing the blending device is also provided.

Abstract: Embodiments provide a packet processing method. In accordance with this method, a first LSP packet can be received by a network device. The following determinations can be made: that the network device stores no LSP packet whose LSP ID and PDU type are the same as an LSP ID and PDU type of the first LSP packet; that the network device has stored a second LSP packet whose LSP ID is the same as an LSP ID of the first LSP packet and PDU type is the same as a PDU type of the first LSP packet, and that a sequence number of the second LSP packet is less than a sequence number of the first LSP packet. When one or more of these determination are made, a determination whether LSP packet digest information matching the first LSP packet exists can be made. When the LSP packet digest information matching the first LSP packet is determined to exist, the first LSP packet can be stored.

Abstract: A fault root cause analysis method and apparatus are provided. The method includes: obtaining a first alarm event set, where the first alarm event set includes a plurality of alarm events; for a first alarm event in the first alarm event set, extracting a feature vector of the first alarm event, where a part of or all features of the feature vector are used to represent a relationship between the first alarm event and another alarm event in the first alarm event set; and determining, based on the feature vector of the first alarm event, whether the first alarm event is a root cause alarm event. In this application, whether the first alarm event is the root cause alarm event is determined based on a feature vector of the relationship between the first alarm event and the another alarm event, and the accuracy of fault root cause identification is improved.

Abstract: The present disclosure discloses a mood recognition method, a device, an electronic device and a computer-readable storage medium. The method includes: obtaining a sample text; obtaining a plurality of recordings corresponding to the sample text, in which the plurality of recordings are speech obtained by reading the sample text using a plurality of mood types; extracting a mood feature from each of the plurality of recordings, and determining a mood type corresponding to the mood feature; establishing a mood recognition model based on the sample text, mood features extracted from the plurality of recordings, and mood types corresponding to the mood features; and performing mood recognition on a speech data of a user based on the mood recognition model to obtain a corresponding mood meaning.

Abstract: The present disclosure provides a method and apparatus for broadcasting a response based on artificial intelligence, and a storage medium, wherein the method comprises: obtaining a user-input speech query; generating a response corresponding to the query; obtaining a recorded speech of a mood meaning corresponding to a modal particle in the response and matched with the response; combining the obtained recorded speech with a TTS-generated speech to perform TTS broadcast of the response. The solution of the present disclosure may be applied to enhance an effect of broadcasting the response.

Abstract: A method of forming a low-k dielectric layer with barrier properties is disclosed. The method comprises forming a dielectric layer by PECVD which is doped with one or more of boron, nitrogen or phosphorous. The dopant gas of some embodiments may be coflowed with the other reactants during deposition.

Abstract: A clothing care machine and a method and system for controlling the same are provided. The clothing care machine is provided with a steam generator and a steam handle. The steam handle is provided with a human body sensing component. The method includes: controlling the human body sensing component to sense whether the steam handle is operated by a user; and controlling an operation state of the steam generator according to a touch signal sensed by the human body sensing component. The method may realize an intelligent control of the steam generator according to an operation condition of the user.

Abstract: A packet transmission method includes generating, by a first router, a first routing information update packet; generating, by the first router, a first source-tracing packet, where the first source-tracing packet is used to indicate that the first router is a source router generating the first routing information update packet; and determining, by the first router, that a second router adjacent to the first router has a source-tracing capability, and sending the first source-tracing packet to the second router.

Abstract: An antenna apparatus includes: N antenna ports and M directional polarization antennas, where M is K times 4, N is an integer multiple of 4, N and M are integers greater than 0, and K is an even number greater than 0; the M directional polarization antennas are evenly distributed on four surfaces of a cube, each surface includes K directional polarization antennas, a polarization direction of K/2 directional polarization antennas on each surface is a first polarization direction, and a polarization direction of other K/2 directional polarization antennas on each surface is a second polarization direction; and on two neighboring surfaces or two opposing surfaces of the four surfaces, K directional polarization antennas in a same polarization direction are combined into one channel, and are connected to one of the N antenna ports, and each of the N antenna ports is connected to the K directional polarization antennas.

Abstract: This application discloses a packet transmission method and apparatus, to help trace a source router generating a routing information update packet, so as to improve network maintenance efficiency and shorten failure duration. The method includes: generating, by a first router, a first routing information update packet; generating, by the first router, a first source-tracing packet, where the first source-tracing packet is used to indicate that the first router is a source router generating the first routing information update packet; and determining, by the first router, that a second router adjacent to the first router has a source-tracing capability, and sending the first source-tracing packet to the second router.

Abstract: Embodiments of the present disclosure provide a method for controlling a smart device, a computer device and a non-transitory computer readable storage medium. The method includes performing speech recognition on a speech signal acquired by the smart device; determining whether a control instruction corresponding to the speech signal matches with a present operation scene of the smart device; and adjusting an operation state of the smart device according to the control instruction when the control instruction matches with the present operation scene.

Abstract: The present disclosure provides a wake-on-voice method, a terminal and a storage medium. The method includes: acquiring a wake-up voice configured to wake up a smart terminal; performing an analysis on an acoustic feature of the wake-up voice by using a preset acoustic model and a preset wake-up word recognition network of the smart terminal, so as to acquire a confidence coefficient of the acoustic feature of the wake-up voice with respect to an acoustic feature of a preset wake-up word; determining whether the confidence coefficient falls in a preset range of moderate confidence coefficients, if yes, uploading the wake-up voice to a remote server; and determining whether a linguistic feature obtained by analyzing the wake-up voice using a linguistic model matches to a linguistic feature of the preset wake-up word, if yes, receiving an instruction to wake up the smart terminal generated by the remote server.

Abstract: Methods and apparatus for simulating arcing that can occur during substrate fabrication is provided. In some embodiments, the method includes: loading a bare silicon substrate that has been pretreated with at least one of polybutylene terephthalate (PBT) or a film into a testing environment, performing a physical vapor deposition (PVD) process on the bare silicon substrate, and determining arcing occurrences on the bare silicon substrate caused during the PVD process.

Abstract: Embodiments described herein provide a method of forming a low-k carbon-doped silicon oxide (CDO) layer having a high hardness by a plasma-enhanced chemical vapor deposition (PECVD) process. The method includes providing a carrier gas at a carrier gas flow rate and a CDO precursor at a precursor flow rate to a process chamber. A radio frequency (RF) power is applied at a power level and a frequency to the CDO precursor. The CDO layer is deposited on a substrate within the process chamber.

Abstract: A pump device includes a casing, an impeller, a base, and a motor. The casing includes a pump chamber, and an inlet and an outlet. The impeller is accommodated in the pump chamber. The motor is connected to the casing for driving the impeller to rotate and includes a rotor chamber for receiving a rotor. The base is disposed between the impeller and the motor and includes an accommodating groove having an inlet port in communication with the rotor chamber to allow fluid in the pump chamber to enter into the rotor chamber. In the pump device, precipitation has been performed to fluid in the accommodating groove before the fluid enters into the rotor chamber, thus the impurity particles can be prevented from entering into the rotor chamber, thereby prolonging the service life of the pump device.

Abstract: Embodiments provide a packet processing method. In accordance with this method, a first LSP packet can be received by a network device. The following determinations can be made: that the network device stores no LSP packet whose LSP ID and PDU type are the same as an LSP ID and PDU type of the first LSP packet; that the network device has stored a second LSP packet whose LSP ID is the same as an LSP ID of the first LSP packet and PDU type is the same as a PDU type of the first LSP packet, and that a sequence number of the second LSP packet is less than a sequence number of the first LSP packet. When one or more of these determination are made, a determination whether LSP packet digest information matching the first LSP packet exists can be made. When the LSP packet digest information matching the first LSP packet is determined to exist, the first LSP packet can be stored.

Abstract: The present disclosure discloses a method and apparatus for providing a voice service. A specific implementation of the method for providing a voice service comprises: acquiring a voice input signal; analyzing the time-domain waveform of the voice input signal to determine current speed information of the voice input signal; comparing the current speed information with an acquired standard speed information set of a user outputting the voice input signal, and determining first demand information from a preset demand information set according to the comparison result, wherein the standard speed information set comprises at least one piece of standard speed information, and the preset demand information set comprises demand information corresponding to each piece of standard speed information in the standard speed information set; and generating a voice response signal based on the first demand information and the second demand information acquired by analyzing the voice input signal.

Abstract: The present disclosure discloses a mood recognition method, a device, an electronic device and a computer-readable storage medium. The method includes: obtaining a sample text; obtaining a plurality of recordings corresponding to the sample text, in which the plurality of recordings are speech obtained by reading the sample text using a plurality of mood types; extracting a mood feature from each of the plurality of recordings, and determining a mood type corresponding to the mood feature; establishing a mood recognition model based on the sample text, mood features extracted from the plurality of recordings, and mood types corresponding to the mood features; and performing mood recognition on a speech data of a user based on the mood recognition model to obtain a corresponding mood meaning.

Abstract: The present disclosure discloses a method and apparatus for providing a voice service. A specific implementation of the method for providing a voice service comprises: acquiring a voice input signal; analyzing the time-domain waveform of the voice input signal to determine current speed information of the voice input signal; comparing the current speed information with an acquired standard speed information set of a user outputting the voice input signal, and determining first demand information from a preset demand information set according to the comparison result, wherein the standard speed information set comprises at least one piece of standard speed information, and the preset demand information set comprises demand information corresponding to each piece of standard speed information in the standard speed information set; and generating a voice response signal based on the first demand information and the second demand information acquired by analyzing the voice input signal.