Abstract: A foldable terminal device includes a feed source, a first part, and a second part. The first part is configured with a first antenna element that is fed by the first feed source. The second part is configured with a second antenna element that is coupled to the first antenna element for coupled feeding when the foldable terminal device is folded. An operating frequency band of the second antenna element includes an operating frequency band of the first antenna element.

Abstract: An antenna apparatus includes a feeding antenna inside an electronic device and one or more antenna elements, such as a floating metal antenna, disposed on a rear cover of the electronic device. The floating metal antenna and a feeding antenna inside the electronic device may form a coupling antenna structure. The feeding antenna may be an antenna fastened on an antenna support (which may be referred to as a support antenna). The feeding antenna may alternatively be a slot antenna formed by slitting on a metal middle frame of the electronic device. The antenna apparatus may be implemented in limited design space, thereby effectively saving antenna design space inside the electronic device. The antenna apparatus may generate excitation of a plurality of resonance modes, so that antenna bandwidth and radiation characteristics can be improved.

Abstract: A speech separation model training method and apparatus, a computer-readable storage medium, and a computer device are provided, the method including: obtaining first audio and second audio, the first audio including target audio and having corresponding labeled audio, and the second audio including noise audio.

Abstract: This application relates to a method of extracting an inter channel feature from a multi-channel multi-sound source mixed audio signal performed at a computing device.

Abstract: A neural network training method is provided. The method includes obtaining an audio data stream, performing, for different audio data of each time frame in the audio data stream, feature extraction in each layer of a neural network, to obtain a depth feature outputted by a corresponding time frame, fusing, for a given label in labeling data, an inter-class confusion measurement index and an intra-class distance penalty value relative to the given label in a set loss function for the audio data stream through the depth feature, and updating a parameter in the neural network by using a loss function value obtained through fusion.

Abstract: A method of acoustic echo suppression using a recurrent neural network, performed by at least one processor, is provided. The method includes receiving a microphone signal and a far-end reference signal, estimating an echo suppressed signal and an echo signal based on the microphone signal and the far-end reference signal, estimating enhancement filters for the microphone signal based on the echo suppressed signal and the echo signal, generating an enhanced signal based on the enhancement filters, and adjusting the enhanced signal using automatic gain control (AGC) and outputting the adjusted signal.

Abstract: The present disclosure belongs to the field of environmental protection and relates to a method for remediating groundwater chlorophenols organic contamination. The method includes determining a location of a contamination source; setting up an injection well based on the location of the contamination source; and injecting a remediation reagent into groundwater in a to-be-remediated region through the injection well so as to degrade chlorophenols organic contamination in the groundwater in the to-be-remediated region.

Abstract: The present disclosure relates to optical lens, and provides a camera optical lens including from an object side to an image side in sequence: a first lens having a positive refractive power, a second lens, a third lens, a fourth lens, a fifth lens, a sixth lens, a seventh lens, and an eighth lens; wherein the camera optical lens satisfies the following conditions: 0.95?f/TTL; ?4.00?f2/f??1.90; and 0.25?(R15+R16)/(R15?R16)?0.90. The camera optical lens can achieve good optical performance while meeting design requirements for a long focal length and ultra-thinness.

Abstract: The present disclosure relates to a composite logic gate circuit, including: a simple logic gate circuit including a first logic gate circuit and an inverter circuit, a first PMOS transistor, and a first NMOS transistor. The first logic gate circuit is configured to receive a first input signal and a second input signal, and to output a first output signal. The inverter circuit includes a second PMOS transistor and a second NMOS transistor. A source of the second PMOS transistor is coupled to a power input terminal, a drain is coupled to a drain of the second NMOS transistor, and a gate is configured to receive the first output signal. A source of the second NMOS transistor is coupled to a ground terminal, and a gate is configured to receive the first output signal. A source of the first PMOS transistor is coupled to the drain of the second PMOS transistor, a drain is coupled to a drain of the first NMOS transistor, and a gate is configured to receive a third input signal.

Abstract: An antenna apparatus used in an electronic device having a flexible display that can be bent at a rotating shaft and that includes a primary screen and a secondary screen respectively configured on two sides of the rotating shaft. The antenna apparatus includes a first metal strip disposed on the primary screen frame close to one end of the rotating shaft, and a second metal strip disposed on the secondary screen frame close to the same end of the rotating shaft. The first metal strip is implemented as a plurality of antennas through dual-feed design. When the flexible display is in a folded state, the second metal strip is coupled to the first metal strip to generate radiation and is used as a parasitic antenna of the first metal strip.

Abstract: A foldable electronic device includes a first housing and a second housing that are rotationally connected to each other by means of rotating shafts located on two sides, and an antenna. The first housing can switch between an unfolded state and a folded state relative to the second housing, and the antenna is disposed in a closed slot. The antenna includes a first antenna segment and a second antenna segment that are sequentially connected and disposed in a length direction of the antenna. One end of the first antenna segment is connected to a ground plate of the first housing. The first antenna segment extends from one end toward a direction in which an opening/closing region of the first housing and the second housing in the unfolded state is away from the first housing.

Abstract: An antenna apparatus includes a first branch, a frame branch, and a second branch. The frame branch is provided with a first gap, and the frame branch is divided into a first frame branch and a second frame branch by the first gap. The first branch, the second branch, the first frame branch and the second frame branch are conductive, not in contact with each other and are insulated from each other A first feeding circuit is electrically connected to the second frame branch, configured to transmit a first excitation signal to the second frame branch, and excite the second frame branch to radiate a first radio wave. A second feeding circuit is electrically connected to the second branch, configured to transmit a second excitation signal to the second branch, and excite the second branch to radiate a second radio wave.

Abstract: A method of end-to-end speaker diarization (EESD) using neural speaker clustering, performed by at least one processor, is provided. The method includes generating a set of speech labels corresponding to a set of speakers based on an input stream. The speech labels indicate whether dialogue of a speaker is speech or non-speech. The method further includes generating dialogue based on the set of speakers, extracting speaker embeddings from the dialogue, mapping the speaker embeddings to a cluster identification (ID), an overlapped speech value, or a non-speech value based on a neural network, and outputting EESD labels based on the mapping.

Abstract: A method for authentication data transmission and a system thereof are provided. The method is operated in a computer system that is connected to a biometric device, and a secure channel is established there-between according to a security protocol. The computer system can receive encrypted biometric feature data from the biometric device based on a request. In a secure environment built in the computer system, the biometric feature data is decrypted and biometric features can be extracted. A comparison result is generated after comparing the biometric features with feature data in a database. The comparison result can be transmitted to the biometric device. The comparison result is then encrypted in the biometric device according to the security protocol. The biometric device can therefore transmit the encrypted comparison result to the computer system via the secure channel.

Abstract: A permanent magnet synchronous motor parameter measurement method is provided. The method comprises: performing a maximum torque per ampere and a vector control on a permanent magnet synchronous motor, causing the permanent magnet synchronous motor to run stably and normally; when the permanent magnet synchronous motor is stably and normally running, an ?-axis current and a ?-axis current are obtained by means of three phase current sampling of the permanent magnet synchronous motor undergoing three phase to two phase transformation, and a rotor position angle and an electrical rotational speed of the permanent magnet synchronous motor are measured and obtained by means of reading a sensor on the permanent magnet synchronous motor; the six physical quantities mentioned-above are taken and a recursive least squares method is used to simultaneously obtain four parametric results for stator resistance, d-axis inductance, q-axis inductance, and flux linkage.

Abstract: An antenna includes a first radiator and a first capacitor structure. A first end of the first radiator is electrically connected to a signal feed end of a printed circuit board by means of the first capacitor structure, and a second end of the first radiator is electrically connected to a ground end of the printed circuit board. The first radiator, the first capacitor structure, the signal feed end, and the ground end form a first antenna configured to produce a first resonance frequency. An electrical length of the first radiator is greater than one eighth of a wavelength corresponding to the first resonance frequency, and the electrical length of the first radiator is less than a quarter of the wavelength corresponding to the first resonance frequency.

Abstract: A method of acoustic echo suppression using a recurrent neural network, performed by at least one processor, is provided. The method includes receiving a microphone signal and a far-end reference signal, estimating an echo suppressed signal and an echo signal based on the microphone signal and the far-end reference signal, estimating enhancement filters for the microphone signal based on the echo suppressed signal and the echo signal, generating an enhanced signal based on the enhancement filters, and adjusting the enhanced signal using automatic gain control (AGC) and outputting the adjusted signal.

Abstract: An embedded electronic device and a boot method are provided. A processor of the embedded electronic device is configured to execute following steps based on a first boot procedure: verifying whether a second memory device safely corresponds to a first memory controller; in response to that the second memory device safely corresponds to the first memory controller, deciphering and verifying stored data of the second memory device through the first memory controller; and in response to that the second memory device does not safely correspond to the first memory controller, verifying whether the second memory device safely corresponds to a second memory controller.

Abstract: A method, computer program, and computer system is provided for an all-deep-learning based AEC system by recurrent neural networks. The model consists of two stages, echo estimation stage and echo suppression stage, respectively. Two different schemes for echo estimation are presented herein: linear echo estimation by multi-tap filtering on far-end reference signal and non-linear echo estimation by single-tap masking on microphone signal. A microphone signal waveform and a far-end reference signal waveform are received. An echo signal waveform is estimated based on the microphone signal waveform and a far-end reference signal waveform. A near-end speech signal waveform is output based on subtracting the estimated echo signal waveform from the microphone signal waveform, and echoes are suppressed within the near-end speech signal waveform.

Abstract: An example system includes an electronic device and a server. The electronic device includes a display; a first communicator; and a first controller configured to: control to transmit, to the server, location data identifying locations of the electronic device. The server includes a second communicator; and a second controller configured to: control to receive the location data; identify a course of travel; link photograph images to locations on the course of travel; and control to transmit to the electronic device the course of travel and the photograph images. The first controller of the electronic device is configured to control to receive the course of travel and the photograph images and to control to display on the display, at the same time, a map image, the course of travel, and one or more of the photograph images linked to a selected location on the course of travel.