Abstract: The present disclosure provides a method and Internet of Things (IoT) system for monitoring safety of a pipeline network valve well based on smart gas, implemented by a smart gas pipeline network safety management platform of an IoT system for monitoring safety of a pipeline network valve well based on smart gas, comprising: obtaining gas monitoring data of a valve well; obtaining external environmental data of the valve well; determining anomaly assessment data of the valve well based on the gas monitoring data; determining risk assessment data of the valve well based on the external environmental data; determining a target maintenance valve well and a target scheduling strategy based on the anomaly assessment data and the risk assessment data, the target scheduling strategy including a count of scheduling personnel and a volume of scheduling bandwidth; and sending the target scheduling strategy to a smart gas pipeline network maintenance engineering object sub-platform.

Abstract: A method for forming a FinFET super well, forming a deep well and a well region in a silicon substrate, followed by formation the fin structure under a hard mask layer; etching a first portion of a fin, performing the first ion implantation for adjusting the threshold voltage at a first height of the fin, the hard mask layer protects the fin structures from ion implantation damages to the fin top; etching a second portion of the fin, performing the second anti-punch through ion implantation at the second height, and in annealing, the implanted ions laterally diffuse into the fin. Finally, the deep well, the well region, the first ion implantation layer for adjusting the threshold voltage, and the second ion implantation layer for anti-punch through jointly form the FinFET super well, which increases the carrier mobility, thereby improving the device performance.

Abstract: This application relates to compounds of Formula (I): or pharmaceutically acceptable salts thereof, which modulate the activity of adenosine receptors, such as subtypes A2A and A2B receptors, and are useful in the treatment of diseases related to the activity of adenosine receptors including, for example, cancer, inflammatory diseases, cardiovascular diseases, and neurodegenerative diseases.

Abstract: The present disclosure provides a method and an Internet of Things system for safety supervision of smart gas operation quality. The method is executed by a government safety supervision management platform, including obtaining initial gas data and first distributed gas data; determining whether the first distributed gas data is abnormal based on the initial gas data; in response to a determination that the first distributed gas data is abnormal, obtaining a residual computing resource, and updating a preset frequency based on the residual computing resource; in response to a determination that a second distributed gas data is abnormal, determining at least one suspect pipeline network segment based on the second distributed gas data; obtaining a first detection data sequence; determining a target regulation parameter based on the first detection data sequence, and generating and transmitting a control instruction to the gas company management platform.

Abstract: Disclosed is a method and an Internet of Things (IoT) system for management and control of pipeline corridor emergency materials based on smart gas supervision. The IoT system comprises a smart gas company management platform, a gas equipment object platform, and a government gas supervision management platform.

Abstract: Provided are an uplink transmission method and device. The uplink transmission method is applied to a first communication node and includes: receiving a downlink reference signal sent by a second communication node and acquiring downlink channel information; sending an uplink reference signal by using the downlink channel information; monitoring downlink control signaling sent by the second communication node, where the downlink control signaling includes a sub-band SRS resource indication; and sending an uplink transmission channel according to scheduling of the downlink control signaling.

Abstract: The present disclosure provides a method for managing traffic congestion in a smart city. The method includes predicting, based on a trained traffic state prediction model, one or more target areas where the traffic congestion is likely to occur from the preset area during a next time period by processing the traffic data information during the current time period, the traffic state prediction model being a Graph Neural Network (GNN) model and a predicted result being output by at least one node of a traffic state prediction model; determining whether a traffic scheduling strategy is needed to be switched based on traffic data information in the one or more target areas during the next time period; and in response to determining that the traffic scheduling strategy is needed to be switched, switching a first traffic scheduling strategy to a second traffic scheduling strategy.

Abstract: An Industrial Internet of Things system, a control method and storage medium for monitoring sheet workpiece production are provided.

Abstract: The present disclosure discloses an Industrial Internet of Things for determining a material transportation path, a control method and a medium thereof, wherein the management platform in the Industrial Internet of Things includes: an obtaining module configured to generate a first layout directed graph; a material module configured to assign a material requirement to a corresponding material end point and assign a material supply to a corresponding material start point; a reconstruction module configured to reconstruct the first layout directed graph and form a third layout directed graph; a first calculation module configured to calculate a first path; a correction module configured to form an intermediate layout directed graph; and a second calculation module configured to calculate a second path.

Abstract: A method, a system, a device, and a storage medium for operation resource placement of deep learning are provided. The method includes: acquiring training operations to be placed and corresponding priorities; based on an order of the priorities, selecting a network structure for operation placement according to required resource amount of the training operations in sequence; the network structure including a server, a top of rack, a container group set denoted as Podset and a trunk layer switch; based on the selected network structure, taking a transmission amount of network data in a training process as an optimization target to perform minimization optimization, and obtaining a corresponding operation placement scheme.

Abstract: Embodiments of the present disclosure relate to the technical field of network communications, and in particular, to a wireless network communication method, an electronic device, and a storage medium. According to the wireless network communication method, a mobile terminal establishes a link with a first network element, wherein the operation that the mobile terminal establishes the link with the first network element includes: a signal in a specific form is transmitted on a specific channel, so that the first network element detects the signal in the specific form on the specific channel, wherein the link is used by the first network element to relay a signal between the mobile terminal and a second network element.

Abstract: A gas-fired steam-injection boiler has a flue and a water supply pipeline. The flue is provided with a radiation section and a convection section. The water supply pipeline has, in the flue gas flow direction, a first pipe section located at an upstream portion of the convection section, a second pipe section is located at a downstream portion of the convection section, and a third pipe section arranged between the first pipe section and the second pipe section. In a water flow direction of the water supply pipeline, the second pipe section, the first pipe section and the third pipe section are arranged in sequence. By using a flue gas condenser, the temperature of flue gas can be further reduced, and the latent heat of vaporization of steam in the flue gas is absorbed to form condensate water.

Abstract: Aspects described herein relate to receiving, from a base station, a transmit beam including a synchronization signal block (SSB) of multiple broadcast signals transmitted over multiple symbols, wherein receiving the transmit beam includes switching among multiple receive beams for each of the multiple symbols to receive a corresponding broadcast signal of the multiple broadcast signals, measuring a signal metric of each of the multiple broadcast signals as received via a corresponding receive beam of the multiple receive beams in a corresponding symbol of the multiple symbols, and selecting, based on the signal metric measured for each of the multiple broadcast signals, a receive beam of the multiple receive beams for communicating with the base station.

Abstract: Disclosed are a control method and control apparatus for a network node, the network node and a base station, which may be applied to the network node. The control method comprises: receiving signaling sent by the base station, and adjusting a working state and/or phase state of the network node according to the signaling; or predefining the working state and/or phase state of the network node between the base station and the network node. The control method for the network node of the present invention may be applied to the base station, and the control method comprises: determining a working state and/or phase state of the network node; sending signaling to the network node, wherein the signaling is used to indicate the working state and/or phase state of the network node; or predefining the working state and/or phase state of the network node between the base station and the network node.

Abstract: This document generally describes bed systems for automatically determining which side of a bed a detected snore originates from, where two sleepers are in the bed. A bed system can include sensors for collecting acoustic readings and pressure readings, on respective sides of the bed. The collected sensor readings can be processed by a computer system to determine whether a snore is detected at the bed system and which side of the bed system the snore originates from. Based on the determination of the snorer side of the bed system, the computer system can also generate one or more actions, which can be used to mitigate, reduce, or otherwise stop the snoring on the determined snorer side of the bed system.

Abstract: A setting method for a generator stator radial air channel of a permanent magnet synchronous generator belongs to the field of motor technology. In the case of a constant section radial air channel, the adjacent spacing of the radial air channel is changed, and the equal spacing distribution is changed to the unequal spacing distribution. By analyzing the temperature change, the local optimal scheme 1 is determined. On the basis of the local optimal scheme, the size of the radial air channel is changed, and the temperature is analyzed to determine the optimal air channel size, which is the local optimal scheme 2. The equal section radial air channel structure is changed into an unequal section segmented air channel structure, and the local optimal scheme 3 is determined as the global optimal scheme. The setting method effectively reduces thermal damage of the stator winding insulation caused by high temperatures.

Abstract: The present disclosure provides a method and an Internet of Things system for managing a gas pressure based on smart gas. The method includes: determining a gas in-home pressure regulation scheme, and the gas in-home pressure regulation scheme including a pressure regulation parameter of a gas device; generating, based on the gas in-home pressure regulation scheme, a pressure regulation instruction; regulating, based on the pressure regulation instruction, a gas in-home pressure of at least one floor; and transmitting the gas in-home pressure regulation scheme to a smart gas user terminal.

Abstract: The disclosure provides a method and a system for muck processing in a smart city based on Internet of Things. The method is performed by a management platform, including: determining a target monitoring device of a target site based on the construction site information, obtaining muck truck monitoring data of the target site through the target monitoring device, obtaining dropped muck situation information of the muck truck in different time periods and determining muck truck management information by performing muck processing information analysis based on the muck truck monitoring data, determining vehicle dust situation information through a fourth model, determining a dropped muck reason or a dust reason through a third model, and issuing different processing instructions based on different reasons of dropped muck and/or dust produced by the muck truck.