Abstract: A network system level division method and an apparatus. The method may include: obtaining an operation and maintenance parameter of a network system in an operation and maintenance scenario, where the operation and maintenance parameter is used to represent operation and maintenance performance of the network system in the operation and maintenance scenario; and determining an automation level of the network system in the operation and maintenance scenario based on the operation and maintenance parameter of the network system in the operation and maintenance scenario, where the automation level of the network system in the operation and maintenance scenario is used to represent an automatic operation and maintenance degree of the network system in the operation and maintenance scenario. In this way, level division of automation degrees of the network system in a specific operation and maintenance scenario is implemented.

Abstract: This application discloses a congestion control method and related apparatus. In the congestion control method, a network device first obtains statistical information of a target egress queue within a first time period, where the target egress queue is any target egress queue in the network device. The network device determines an explicit congestion notification (ECN) threshold for the target egress queue within a second time period based on the statistical information of the target egress queue within the first time period, where the second time period is chronologically subsequent to the first time period. When a queue depth of the target egress queue exceeds the ECN threshold within the second time period, the network device sets an ECN mark for a data packet in the target egress queue.

Abstract: A Chip-On-Film structure, a displaying base plate and a displaying device, wherein the Chip-On-Film structure includes a first substrate; a plurality of driving chips provided on one side of the first substrate, and a plurality of first leads that are connected to the plurality of driving chips; and the plurality of first leads are for binding a displaying base plate, and a quantity of the first leads is greater than or equal to a sum of quantities of channels of the plurality of driving chips.

Abstract: The present application refers to a control method and control device of a drive circuit, and a drive circuit. The control method of the drive circuit includes: acquiring a bus address in a bus signal. The bus signal is a signal transmitted over an I2C bus, and the I2C bus is connected to a timing controller. The control method further includes: if the timing controller determining that the bus address matches an address of the timing controller, transmitting a frequency adjustment signal to a controllable power supply with an adjustable operating frequency and connected to the timing controller. The frequency adjustment signal is configured to indicate that an operating frequency of the controllable power supply is adjusted from a first operating frequency to a second operating frequency. The second operating frequency is higher than the first operating frequency.

Abstract: Disclosed herein are multi-source microgrid power supply systems including a rectifier having an incoming line terminal connected to a low-voltage side of a transformer and an outgoing line terminal connected to a DC bus having one terminal connected to the outgoing line terminal of the rectifier, an inverter having an incoming line terminal connected to the DC bus and an outgoing line terminal connected to oil well equipment, a first voltage regulator having an incoming line terminal connected to a photovoltaic array and an outgoing line terminal connected to the DC bus, a second voltage regulator having an incoming line terminal connected to an energy storage unit and an outgoing line terminal connected to the DC bus, and a third voltage regulator having an incoming line terminal connected to a wind power generation unit and an outgoing line terminal connected to the DC bus.

Abstract: Disclosed are a segmentation method for a pneumonia sign, a computer-readable storage medium, and an electronic device. A lung region image in a CT image is input into each of a plurality of neural network models to obtain a plurality of pneumonia sign images separately; and the plurality of pneumonia sign images are combined to obtain a pneumonia comprehensive sign image. Pneumonia sign images in a large number of to-be-detected CT images may be obtained efficiently and accurately by using the neural network models, so as to provide reliable data basis for subsequent pneumonia diagnosis.

Abstract: Provided are a training method for an air quality prediction model, a prediction method and apparatus, a device, a program, and a medium. The method includes the steps described below. A target monitoring range is divided into a plurality of regions; the air quality prediction model is pre-trained by adopting a pre-training sample and a pre-training objective function, where the pre-training sample includes measurement values; and the pre-trained air quality prediction model is trained by adopting a formal training sample and a formal training objective function, where the formal training sample includes the measurement values. The air quality prediction model is configured to predict air quality of the plurality of regions according to spatial information, historical information and environmental information.

Abstract: The invention provides an N-benzyl-N-arylsulfonamide derivative, which is an N-benzyl-N-arylsulfonamide compound represented by formula (I) or a pharmaceutically acceptable salt or solvate thereof. The N-benzyl-N-arylsulfonamide derivative is obtained by condensing a substituted nitrobenzene with 5- or 6-membered nitrogen-containing aliphatic heterocycle (the ring B), reducing the nitro group to an amino group, and subjecting the amino group to reductive amination, sulfonamidation; or by subjecting a substituted nitrobenzene to nitro reduction, reductive amination and sulfonamidation, and condensing the resultant intermediate with 5- or 6-membered nitrogen-containing aliphatic heterocycle (the ring B). It has been experimentally demonstrated that the N-benzyl-N-arylsulfonamide derivative of the invention can specifically bind to Kv1.3 potassium channel and inhibit or decrease its activity, and is useful in the treatment of autoimmune diseases caused by abnormal activation of the Kv1.

Abstract: Provided are a training method and device for a heterogeneous generative adversarial network model, an equipment, a program and a storage medium. In the training method, measurement data of a heterogeneous station is acquired, the measurement data of the heterogeneous station is set as a training sample, and joint training is performed on the heterogeneous generative adversarial network model according to a total objective function. A generator is configured to predict environment data at a future occasion according to environment data of the heterogeneous station at a historical occasion so as to output predicted data. A discriminator is configured to be input the predicted data output by the generator and corresponding measurement data, and discriminate a similarity between the measurement data and the predicted data; a total objective function includes a first objective function of the generator and a second objective function of the discriminator.

Abstract: The present invention provides a collision prevention control system based on an electric lifting table and a collision prevention method thereof. The collision prevention control system includes a lifting table, an electronic lifting table control box disposed on the lifting table, and a single-chip microcomputer disposed in the electric lifting table control box. The electric lifting table control box is internally provided with an acceleration and gyroscope chip, the acceleration and gyroscope chip performing synchronous motion with the lifting table, the acceleration and gyroscope chip being in information interaction with the single-chip microcomputer, and motion control on the lifting table being performed through the single-chip microcomputer. The present invention has the advantageous effects as follows: the system has higher sensitivity and more reliable operation, and senses a slight angular change or an acceleration change when the lifting table encounters resistance.

Abstract: A control box includes a female connector part and a male connector part. The plug end is housed in the female connector part when the male connector part is connected to the female connector part. The plug end is configured to plug into a power supply device when the male connector part is detached from the female connector part.

Abstract: An autonomous driving method based on prior knowledge of high-precision maps is provided. The autonomous driving method includes steps of: acquiring a current location of the autonomous driving vehicle; acquiring a prior-knowledge set associated with the current location from a high-precision map; acquiring sensing information by one or more sensing devices; acquiring one or more pieces of the prior-knowledge associated with the sensing information from the prior-knowledge set; calculating a control instruction according to one or more pieces of the prior-knowledge; controlling the autonomous driving vehicle driving according to the control command. Furthermore, an intelligent control device and an autonomous driving device are also provided.

Abstract: A fracturing device, including a power unit, wherein the power unit comprises a muffling compartment, a turbine engine, an air intake unit, and a starter; the air intake unit is communicated with the turbine engine through an intake pipe, and configured to provide a combustion-supporting gas to the turbine engine; the air intake unit is located at the top of the muffling compartment, the muffling compartment comprises an accommodation space, the turbine engine and the starter are located in the accommodation space, and the starter is configured to start the turbine engine, the starter comprises a first electric motor.

Abstract: A method for filling an aerosol generating product includes: preparing a tube body of the aerosol generating product; filling a filter element into the tube body, wherein the filter element is adjacent to a near-lip end of the tube body; installing a blocking and flow guide element from a far-lip end of the tube body; installing a fuming unit from the far-lip end of the tube body, where the fuming unit is located at the far-lip end of the tube body; and sealing the far-lip end of the tube body, and forming a sealing part on an end face of the far-lip end of the tube body. In the new method, each component is successively filled from the near-lip end to the far-lip end of the aerosol generating product, thereby effectively avoiding the pollution caused by the fuming unit on the tube body during the filling of the fuming unit.

Abstract: The present disclosure relates to vehicle systems and methods. A system may determine first status information of one or more hardware components in a vehicle, together with second status information of one or more software components in the vehicle. The one or more software components may function at least partially depending on the one or more hardware components. The system may also convey a first notification indicating the first abnormal condition to a passenger in the vehicle in response to a determination that the first status information includes a first abnormal condition. The system may also convey a second notification indicating the second abnormal condition to the passenger in the vehicle in response to a determination that the second status information includes a second abnormal condition. The second notification may be distinct from the first notification.

Abstract: Moving communication devices present challenges for conventional antenna beam sweeping techniques. According to embodiments of mobility-aware antenna beam tracking as disclosed herein signaling is communicated between a User Equipment (UE) and a moving communication device in a wireless communication network. The signaling is indicative of a beam trajectory along which an antenna beam, that is associated with the moving communication device, is moving. The moving communication device itself is also moving, along a device trajectory that may or may not be the same as the beam trajectory. The antenna beam is used for subsequent directional communications between the UE and the moving communication device.

Abstract: The obstacle detection system for a work vehicle enables an obstacle, present in the surroundings of a work vehicle, to be accurately detected. This obstacle detection system for a work vehicle has: a plurality of imaging devices that take images of the surroundings of a work vehicle; and an image processing device that performs, according to a time division system, an obstacle identification process for identifying an obstacle on the basis of the images from the plurality of imaging devices. The image processing device changes a to-be-processed cycle per unit time for the plurality of imaging devices in the time division system in accordance with the vehicle speed and the traveling direction of the work vehicle.

Abstract: The present application discloses a golf ball floor type detection method, a system, and a storage medium. The method includes the following steps: correcting distortion of the camera; calibrating a camera; triggering of hitting a ball: monitoring a pixel variation value of a serving position of a golf ball in a picture captured by the camera in real time, and determining triggering of hitting a ball when the pixel variation value of the position exceeds a threshold value; positioning a golf ball: processing the picture captured by the camera after triggering of hitting a ball with a dynamic segmentation based on a fuzzy entropy, and positioning the processed picture to acquire coordinate data of the golf ball; calculating parameters; and detecting a rotating speed of the golf ball.

Abstract: A video sequence layout method, electronic device and storage medium are provided, and relate to fields of deep learning, virtual reality, cloud computing, video layout processing and the like. The method includes: acquiring a first video sequence, the first video sequence including a main sequence for describing a first posture of a human body and a subordinate sequence for describing a plurality of second postures of the human body; extracting the main sequence and the subordinate sequence from the first video sequence; and in a case that it is detected that a sequencing identification frame exists in the first video sequence, performing random mixed sequencing processing on video frames in the main sequence and the subordinate sequence based on the sequencing identification frame and taking a sequence combination obtained by the random mixed sequencing processing as a second video sequence.

Abstract: The present invention relates to a learning method of generative adversarial network (GAN) with multiple generators for image denoising, and provides a generative adversarial network with three generators. Such generators are used for removing Poisson noise, Gaussian blur noise and distortion noise respectively to improve the quality of low-dose CT (LDCT) images; the generators adopt the residual network structure. The mapped short connection used in the residual network can avoid the vanishing gradient problem in a deep neural network and accelerate the network training; the training of GAN is always a difficult problem due to the unreasonable measure between the generative distribution and real distribution. The present invention can stabilize training and enhance the robustness of training models by limiting the spectral norm of a weight matrix.