Abstract: A riding mowing device includes a seat used for a user to sit on and including a seat cushion and a backrest; a frame for supporting the seat; a cutting assembly including a cutting deck and a mowing element for mowing grass, where the mowing element is at least partially accommodated in the cutting deck, and the cutting assembly is mounted to the frame; a traveling assembly for driving the riding mowing device to travel; a control circuit board for controlling at least the cutting assembly and the traveling assembly; and a power supply assembly for supplying power to at least the cutting assembly and the traveling assembly. At least part of the control circuit board is disposed between the seat and the power supply assembly.

Abstract: Disclosed are a network optimization method and apparatus, an electronic device, and a storage medium. The network optimization method may include: sending data analytics request information to a core network; receiving data analytics response information fed back by the core network and determining a model processing result according to an artificial intelligence learning model; and performing a network optimization operation according to the model processing result.

Abstract: This disclosure relates generally to transmission resource or transmission parameters update of various types in wireless communications. Performed by a wireless terminal in a wireless network, the method including receiving a message from a wireless communication node of the wireless network, the message indicating an update to a wireless resource or a transmission parameter associated with the wireless resource, the wireless resource being previously allocated to the wireless terminal for data reception or data transmission; parsing the message based on a type of the update to the wireless resource or the transmission parameter associated with the wireless resource to obtain the update; and transmitting or receiving data, or skipping transmitting or receiving data using the wireless resource based on the update.

Abstract: This disclosure relates generally to transmitting and receiving signaling for transmission control parameter update in wireless communications. Performed by a wireless terminal in a wireless network, the method including transmitting feedback information to a wireless communication node in the wireless network via a first message, the feedback information being used for adjusting a transmission control parameter for a transmission associated with the wireless terminal, and the transmission comprising at least one of a semi persistent scheduling (SPS) transmission or a configured grant (CG) scheduling transmission.

Abstract: Provided are a handover method, a handover device, and a network system. The handover method includes: receiving cell information of a second cell sent by a second network element, wherein the second cell is a cell managed by the second network element, and the cell information includes predicted cell load information of the second cell; and sending a handover instruction to a terminal in a case where the cell information satisfies a preset condition, wherein the handover instruction is used for instructing the terminal to perform handover to the second cell, and the case where the cell information satisfies the preset condition at least indicates that the predicted cell load information of the second cell is lower than a configured first threshold.

Abstract: A water environment temperature measurement tool includes measurement boxes and a counterweight box; a plurality of groups of the measurement boxes are provided; the counterweight box is movably connected with a group of measurement boxes; and each measurement box is provided with a temperature measurement instrument inside. The water environment temperature measurement tool further comprises: control mechanisms, each comprising a water inlet pipe, a water retaining member, an elastic member, a control assembly, a rotating seat, a rotating shaft, a second screw rod, a control seat and a rotary assembly. In the water environment temperature measurement tool of the present invention, the control mechanisms can achieve extraction and temperature measurement of water at different water body depths by cooperating with the measurement boxes and the temperature measurement instruments.

Abstract: In wireless communication, an improved change of a schedule request (“SR”) resource configuration is provided. The SR resource configuration may be transmitted from a basestation to user equipment (“UE”) and may include a parameter for the configuring of one or more SRs. A validity of the SR resource configuration is determined based on predefined information or high layer signaling.

Abstract: In wireless communication, a configuration of uplink (“UL”) signaling transmissions can be through a specific window or pattern. The UL transmission can be concentrated in a time period to save power. Specifically, an active time is determined as a time period for UL signals. Non-active time may include different types of UL signals. The active time may be configured and enabled under different conditions.

Abstract: Water conservancy construction sewage treatment mechanism, including a support mounting cylinder, where a variable-diameter sedimentation cylinder is arranged at one end of the support mounting cylinder, one half of the cylinder wall of the support mounting cylinder is a thin wall and the other half is a thick wall, and the thin wall and the thick wall are disposed oppositely. The water conservancy construction sewage treatment mechanism also includes: a variable-diameter diversion cylinder, which is arranged on the thin wall at the other end of the support mounting cylinder; several displacement diversion modules, which are arranged on the thick wall of the support mounting cylinder and include guide displacement structures and combined diversion structures; and a magnetic attraction displacement adjusting structure, which is arranged on the outer side of the thick wall of the support mounting cylinder and is matched with the guide displacement structures and the combined diversion structures.

Abstract: Provided are measurement method and apparatus, a communication node, and a storage medium. The measurement method is applied to a first communication node, and includes: obtaining minimization of drive tests (MDT) measurement configuration information, the MDT measurement configuration information indicating the first communication node to perform a continuous MDT measurement; and generating a measurement report according to the MDT measurement configuration information and transmitting the measurement report.

Abstract: The present application provides a network optimization method, including: sending a session setup request message to a client device to request the client device to perform measurement configuration on a designated network side device and perform measurement configuration on a terminal device connected to the designated network side device; receiving a measurement report message of the designated network side device and a measurement report message of the terminal device; determining, according to pre-acquired machine learning description information, whether to perform collaborative training with the client device; and performing designated model training processing for network optimization based on whether to perform collaborative training with the client device and measurement data in the received measurement report messages, and sending a model training processing result to the client device to instruct the client device to obtain a network optimization action according to the model training processing r

Abstract: Provided are a non-public network measurement method and apparatus, a device, and a storage medium. The method includes: sending, through an air interface, a radio resource control (RRC) message including a non-public network (NPN) measurement configuration to at least one selected user equipment (UE), to instruct the UE to perform corresponding NPN measurement; and receiving a measurement report of the NPN measurement from the UE through an air interface. The measurement report includes an NPN measurement result of a corresponding UE. In the embodiment of the present disclosure, the NPN measurement configuration is sent through the RRC message, and thus NPN network information is detected, thereby facilitating NPN network capacity expansion and NPN network optimization.

Abstract: A network optimization method includes determining network side measurement control information according to pre-acquired policy information to be satisfied by a network; sending a session setup request to a designated network side device to request the designated network side device to perform, according to the network side measurement control information, measurement configuration on the designated network side device and measurement configuration on a user equipment (UE) connected to the designated network side device; receiving a measurement report of the designated network side device and a measurement report of the UE; and performing, based on measurement data in received measurement reports and the policy information, machine learning for network optimization to obtain a network optimization operation instruction, where the network optimization operation instruction is used for indicating the designated network side device and the UE to perform the network optimization according to the network optimiza

Abstract: Provided are a location prediction method and apparatus, a node and a storage medium. The method includes: a server obtaining a measurement report message sent by a base station, where the measurement report message includes historical location measurement information reported by at least one UE and/or historical location measurement information of the at least one UE measured by the base station; and the server determining prediction location information of the at least one UE at a first time point or in a first time period according to the measurement report message, and sending notification information to the base station according to the prediction location information. By introducing measurement information in multiple dimensions, the accuracy of predicting the location of UE can be effectively improved.

Abstract: Disclosed are a location prediction method and apparatus, a network element, a base station and a non-transitory computer-readable storage medium. The position prediction method may include: receiving, by a location service network element, a Minimization of Drive Tests (MDT) measurement information message sent by a base station, wherein the location service network element is a separate network element or a network element inside the base station, and the MDT measurement information message carries history location measurement information of at least one user equipment (UE); determining, by the location service network element, predicted location information of the at least one UE for a first time point or a first time period according to the history location measurement information of the at least one UE; and sending, by the location service network element, the predicted location information to the base station.

Abstract: This patent document describes, among other things, techniques, and apparatuses for providing artificial intelligence to improve wireless network efficiency and performance. In one aspect, a method of wireless communication is disclosed. The method includes transmitting, from a first network node to a second network node, a first network control message requesting to start an artificial intelligence process comprising an artificial intelligence objective or an identification code. The method further includes receiving, at the first network node from the second network node, a first reply message indicating at least one of the artificial intelligence process has started, the identifier, a request indicator for a model for the artificial intelligence process, or a failure message.

Abstract: This disclosure describes methods and systems for exchanging AI computing information for load prediction model between network elements of a wireless communication network. The methods include: sending, by a first network element of a wireless communication network, a first message for load prediction to a second network element of the wireless communication network, wherein the first message comprises at least one of an input to a machine learning model for load prediction of the first network element or model configuration information of the machine learning model.

Abstract: A bandwidth extension (BWE) method includes: determining parameters of a low-frequency spectrum of a narrowband signal; inputting the parameters of the low-frequency spectrum into a neural network model, and obtaining a correlation parameter based on an output of the neural network model; obtaining a target high-frequency amplitude spectrum based on the correlation parameter and a low-frequency amplitude spectrum; obtaining a high-frequency spectrum based on a low-frequency phase spectrum and the target high-frequency amplitude spectrum of the narrowband signal; and obtaining a broadband signal after BWE based on the low-frequency spectrum and the high-frequency spectrum.

Abstract: A picture file processing method, apparatus, and computer readable medium are provided. The method includes parsing a picture file, to obtain a picture header information data segment, first stream data, and second stream data of a first image thereof. The first stream data of the first image is decoded to generate red-green-blue (RGB) data of the first image. The second stream data of the first image is decoded to generate Alpha data of the first image. Red-green-blue-alpha (RGBA) data corresponding to the first image are generated according to the RGB data and the Alpha data.

Abstract: Embodiments of this application disclose an image file processing method performed at a computing device. The method includes: obtaining RGBA data corresponding to a first image in an image file, and separating the RGBA data to obtain RGB data and transparency data of the first image; encoding the RGB data of the first image according to a first video encoding mode, to generate first stream data; encoding the transparency data of the first image according to a second video encoding mode, to generate second stream data; and combining the first stream data and the second stream data into a stream data segment of the image file.