Abstract: A beacon frame transmission control method and a related apparatus are provided that improve the transmission robustness of the beacon frame. The method includes: generating, by a master access point AP, indication information used to indicate a transmission time period of a beacon frame of at least one secondary AP; and sending, by the master AP, the indication information to the at least one secondary AP, where the master AP and the at least one secondary AP belong to a same AP collaboration group, and transmission time periods of beacon frames of APs in the AP collaboration group are different.

Abstract: The present disclosure provides a method for recycling urea-formaldehyde (UF) from a wood-based panel. In the present disclosure, the UF is depolymerized by an ultrasonic treatment, and depolymerized UF can be reused for UF manufacture and wood-based panel production. The recycled and treated UF can be repeatedly used in wood-based panel manufacture without affecting performances of the wood-based panel. UF-glued wood-based panels can be recycled, and a recycled wood-based panel raw material can replace at least 50% of a non-recycled wood-based raw material for particle board production without affecting performances of the wood-based panel.

Abstract: This application provides a communication method and apparatus that allow retransmitted MPDUs with different retransmission versions (RVs) to be transmitted in a same transmission process. The communication method and apparatus may be applied to a data retransmission process between any two nodes in a Wi-Fi system. In the method, when a PPDU sent by a first node includes one or more retransmitted MPDUs, the first node may include RV indication information in the PPDU to indicate an RV of each retransmitted MPDU, so that a second node can properly receive each retransmitted MPDU based on the RV indication information.

Abstract: A semiconductor structure, comprising a redistribution layer (RDL) including a dielectric layer and a conductive trace within the dielectric layer; a first conductive member disposed over the RDL and electrically connected with the conductive trace; a second conductive member disposed over the RDL and electrically connected with the conductive trace; a first die disposed over the RDL; a second die disposed over the first die, the first conductive member and the second conductive member; and a connector disposed between the second die and the second conductive member to electrically connect the second die with the conductive trace, wherein the first conductive member is electrically isolated from the second die.

Abstract: An optical fiber network device includes a fiber and a photonic integrated circuit. Fiber receives a first optical signal and transmits a second optical signal. A first wavelength of first optical signal is different from a second wavelength of second optical signal. Photonic integrated circuit includes a laser chip, a photodetector, a wavelength division multiplexing coupler, a first optical modulation element and a second optical modulation element. Laser chip is disposed on photonic integrated circuit, and is configured to generate first optical signal. Photodetector detects second optical signal. Wavelength division multiplexing coupler is configured to couple first optical signal to fiber, and receives second optical signal. First optical modulation element is coupled to wavelength division multiplexing coupler and laser chip, and is configured to modulate first optical signal.

Abstract: A computing system including a plurality of processing devices configured to execute a Mixture-of-Experts (MoE) layer. The processing devices are configured to execute the MoE layer at least in part by receiving an input tensor including input tokens. Executing the MoE layer further includes computing a gating function output vector based on the input tensor and computing a sparse encoding of the input tensor and the gating function output vector. The sparse encoding indicates one or more destination expert sub-models. Executing the MoE layer further includes dispatching the input tensor for processing at the one or more destination expert sub-models, and further includes computing an expert output tensor. Executing the MoE layer further includes computing an MoE layer output at least in part by computing a sparse decoding of the expert output tensor. Executing the MoE layer further includes conveying the MoE layer output to an additional computing process.

Abstract: An optical fiber transmission device includes a substrate, a photonic integrated circuit, and an optical fiber assembly. The photonic integrated circuit is disposed on an area of the substrate. The substrate has a protruding structure at an interface with an edge of the photonic integrated circuit. The optical fiber assembly includes an optical fiber and a ferrule that sleeves the optical fiber. The protruding structure of the substrate is configured to abut against the ferrule to limit the position of the optical fiber assembly in a vertical direction of the substrate, such that the protruding structure is a stopper for the optical fiber assembly in the vertical direction.

Abstract: A gate structure includes a substrate divided into an N-type transistor region and a P-type transistor region. An interlayer dielectric covers the substrate. A first trench is embedded in the interlayer dielectric within the N-type transistor region. A first gate electrode having a bullet-shaped profile is disposed in the first trench. A gate dielectric contacts the first trench. An N-type work function layer is disposed between the gate dielectric layer and the first gate electrode. A second trench is embedded in the interlayer dielectric within the P-type transistor region. A second gate electrode having a first mushroom-shaped profile is disposed in the second trench. The gate dielectric layer contacts the second trench. The N-type work function layer is disposed between the gate dielectric layer and the second gate electrode. A first P-type work function layer is disposed between the gate dielectric layer and the N-type work function layer.

Abstract: A data transmission system is disclosed. The data transmission system includes at least one signal processing device, at least one conversion device, at least one antenna device, and at least one flexible printed circuit board. The at least one signal processing device is configured to generate or receive at least one data. The at least one conversion device is configured to transform between the at least one data and an optical signal. The at least one antenna device is configured to obtain the at least one data according to the optical signal, and configured to receive or transmit the at least one data wirelessly. The at least one flexible printed circuit board includes at least one conductive layer and at least one optical waveguide layer. The at least one optical waveguide layer is configured to transmit the optical signal.

Abstract: A stator assembly, an electronic expansion valve, and a refrigeration device are provided. The stator assembly has a housing, a coil assembly and a fixing member. An outer surface of the housing is provided with an installation opening. The coil assembly is provided in the housing, and has a shell for mounting a coil. The fixing member is inserted through the installation opening to be fixedly connected with the shell, and the is configured to connect with the conducting tube of the electronic expansion valve to electrically conduct the shell and the conducting tube.

Abstract: Embodiments of the present disclosure include systems and methods for compiling tensor operators for neural network models based on tensor tile configurations. A tensor expression for a neural network model is received. A tensor tile configuration for the tensor expression is determined based on specifications associated with a set of hardware devices. Based on the tensor tile configuration, a set of code for implementing the tensor expression for the neural network model is generated. The set of code is for execution on the set of hardware.

Abstract: Embodiments of the present disclosure include systems and methods for providing sparsity for neural network models based on sparsity attributes. A first neural network model definition is received. The first neural network model definition specifies a neural network model comprising a set of tensors and a set of sparsity attribute values for elements of a tensor in the set of tensors. The set of sparsity attribute values for the tensor are propagated to elements of a subset of the set of tensors to form a second neural network model definition. The neural network model is generated based on the second neural network model definition.

Abstract: The embodiments of the application provides a resource allocation method. In an example method, a trigger frame is sent by an access point to a station. The trigger frame includes one user information field, and the user information field may indicate a plurality of resource units allocated to the station.

Abstract: This embodiments of the application relates to the field of wireless communication, and in particular, to a method for recovering permission to use a transmission opportunity and a related apparatus. The method includes: A first device receives a first frame from a second device. The first device recovers the permission to use the transmission opportunity (TXOP) based on the first frame. The first frame indicates that the second device has stopped using a first time resource. The first time resource is allocated by the first device from an obtained TXOP to the second device by using a single-user trigger frame.

Abstract: A method includes: A first device sends a block acknowledgment request frame to a second device. The block acknowledgment request frame is used to request the second device to send a block acknowledgment frame. The block acknowledgment frame indicates a receiving status of an access control layer protocol data unit in first transmission. The first transmission is suspended at a first moment, and the first moment is earlier than a transmission end moment when the first transmission is not suspended. The first device receives the block acknowledgment frame. The first device starts, at a second moment, to perform second transmission.

Abstract: Embodiments of this application provide a communication method between multi-link devices and an apparatus, and relate to the field of communications technologies, to reduce power consumption of a station multi-link device. The method includes: a multi-link device includes a plurality of STAs, one STA operates on one of a plurality of links, and the STA determines a primary link in the plurality of links. A STA operating on the primary link in the multi-link device may receive information sent by the AP indicating whether the STA operating on the primary link has a downlink traffic, and/or information indicating whether a STA operating on a link other than the primary link has a downlink traffic. Therefore, the STA operating on the primary link may determine a link on which the STA having a downlink traffic operates in the multi-link device.

Abstract: A neural architecture search (NAS) system generates a machine-trained model that satisfies specified real-time latency objectives by selecting among a collection of layer-wise sparse candidate models. In operation, the NAS system selects a parent model from among the candidate models. The NAS system then identifies a particular layer of the parent model, and then determines how the layer is to be mutated, to yield a child model. The NAS system calculates a reward score for the child model based on its latency and accuracy. The NAS system then uses reinforcement learning to update the trainable logic used to perform the mutating based on the reward score. The NAS system repeats the above process a plurality of times. An online application system can use the machine-trained model eventually produced by the NAS system to deliver real-time responses to user queries.

Abstract: A voice reception device includes a casing and at least two voice reception units. The casing includes a peripheral side wall, a bottom wall, a containing space formed in an inside of the peripheral side wall and the bottom wall, and a first opening end located at an end of the containing space. The voice reception units are disposed in the containing space. Each of the voice reception units includes a main body, a diaphragm, and a voice guiding channel. The main body has a chamber, and an end of the chamber has a second opening end. The diaphragm is connected to the second opening end of the main body. The voice guiding channel includes an importing end acoustically connected to the chamber and an exporting end opposite to the importing end and acoustically connected to a microphone.

Abstract: A valve needle assembly, an electronic expansion valve and a refrigeration device are provided. The valve needle assembly has a valve needle sleeve, a valve rod, a valve needle, a buffer slider and a buffer spring. The valve needle sleeve has a first open end and a second open end opposite to each other. The valve rod has a driving end movably matched with the valve needle sleeve through the first open end to drive the valve needle provided on the second open end. The buffer slider is provided in the valve needle sleeve and abuts against the valve needle. The buffer spring is provided in the valve needle sleeve, through which the driving end is connected to the buffer slider.

Abstract: An electronic expansion valve and a refrigeration device are provided. The electronic expansion valve has a valve seat, a nut and a connection piece. The valve seat is provided with a valve cavity. One end of the nut is installed in the valve cavity. An outer wall of the nut is provided with an annular position part that extends from the outer wall. The position part is positioned to be in contact with a wall of the valve cavity. One end of the connection piece is fixedly connected to the nut. Another end of the connection piece is extended away from the nut and fixedly connected to an axial end surface of the valve seat.