Abstract: A data analytics device for application monitoring includes an application-monitor manager engine to receive configuration files from a cloud server and to generate monitoring rules for a number of monitors. A data-processing engine is coupled to the application-monitor manager engine and the monitors and coordinates activities of the plurality of monitors. The monitors are embedded in a user space and a kernel of a host operating system, and the monitoring rules for the monitors are generated based on the configuration files.

Abstract: Provided are an operating assembly and a household appliance. The operating assembly includes a first operating portion and a second operating portion. The first operating portion is at least partially disposed in the second operating portion. The second operating portion can be located at and move back and forth between a first position and a second position of the first operating portion. When the second operating portion is located at the first position, the second operating portion can rotate relative to the first operating portion to generate a first electric signal; when the second operating portion is located at the second position, the second operating portion can drive the first operating portion to rotate to generate a second electrical signal during the rotation of the first operating portion; and the first operating portion can be pressed to generate a third electric signal.

Abstract: The present disclosure provides a method and a system for area management in a smart city based on an Internet of Things. The method includes obtaining environmental monitoring data in a target area through a sensor network platform, the environmental monitoring data including at least one of air quality data, weather data, and satellite image data, predicting an air pollution situation in the target area through a regional prediction model based on the environmental monitoring data, the regional prediction model being a machine learning model, and sending prompt information, which is determined based on the air pollution situation in the target area, to a user platform through a service platform, wherein the target area is a hexagonal area; and the regional prediction model includes seven regional models and an air quality determination model; wherein a prediction mode of the regional prediction model is an iterative prediction.

Abstract: Methods, industrial Internet of Things systems, and storage mediums for controlling production line detection data are provided. The industrial Internet of Things system includes a user platform, a service platform, a management platform, a sensor network platform, and an object platform. The service platform and the management platform use a centralized arrangement. The management platform sends a data request and receives production line detection data. The sensor network platform uses an arrangement of a front sub-platform, the sensor network platform includes a total platform and a plurality of sub-platforms, the sub-platforms are child node gateway devices in different communication networks, and the total platform is a total node gateway device aggregated by all the communication networks. The sensor network platform retrieves the production line detection data from the total node gateway device or the child node gateway devices based on a data request sent by the management platform.

Abstract: The present disclosure provides a method and an Internet of Things system for managing a camera device of a public landscape in a smart city. The method is implemented based on the Internet of Things system, the system including a plurality of user platforms, a service platform, a management platform, and a plurality of object platforms.

Abstract: In one aspect, a channel state information reporting method includes: receiving configuration information; receiving a channel state information-reference signal (CSI-RS) according to the configuration information; and reporting channel state information (CSI) according to the CSI-RS, the CSI including a precoding matrix indicator for indicating a precoding matrix, where the precoding matrix is determined according to a set vector, the set vector includes a first group of vectors, the first group of vectors includes L first vectors, each first vector of the L first vectors corresponds to a port of the CSI-RS, and L is a positive integer.

Abstract: A window system is provided, and belongs to the field of window technology. The window system provided by the present disclosure includes a first transparent substrate and a second transparent substrate opposite to each other, and a radiation structure and a dimming structure sequentially arranged on a side of the first transparent substrate close to the second transparent substrate; wherein an orthographic projection of the dimming structure on the first transparent substrate at least partially overlaps an orthographic projection of the radiation structure on the first transparent substrate. The window system provided by the present disclosure can have functions of transmitting and receiving radio frequency signals as well as dimming, and the radiation structure and the dimming structure are stacked together to save space.

Abstract: Disclosed are a control method and apparatus for a network node, and a computer-readable storage medium. The method may include receiving a signaling sent by a base station, where the signaling is indicative of at least one of, an operating mode or a phase state of the network node; and regulating at least one of, the operating mode or the phase state of the network node according to the signaling.

Abstract: Methods, systems, and devices for reducing channel state information feedback channel overhead by compressing coefficients of precoding vectors and reporting a subset of the compressed coefficients based on several parameters including network-signaled parameters. Some embodiments may be used in wireless communication embodiments in which channel state information from many layers and many frequency domain units need to be reported.

Abstract: Provided is a novel active ingredient derived from locust bean and the use thereof. The present invention is a compound represented by the following formula (I) or a salt thereof, or a solvate thereof.

Abstract: The present disclosure provides an intelligent manufacturing method based on Industrial Internet of Things with a centralized service platform, including: the user platform inputting the parameter configuration information, and the service platform disassembling it into multiple sets of configuration data groups according to process; the management platform storing and processing the configuration data groups, and the configuration data group being used as a reference data group; the object platform taking the perception information as a verification data group at a set time interval; the management platform receiving and processing the verification data group, and sending the reference data group and the verification data group to the service platform; the service platform receiving and comparing the reference data group and the verification data group; if comparisons exceed the set threshold range, generating stop operation instructions and sending them to the object platform to control the production line

Abstract: The embodiments of the present disclosure provide a method, an Internet of Things system and a storage medium for gas leakage inspection, the method is realized based on a smart gas management platform of the Internet of Things system for gas leakage inspection, including: obtaining monitoring data at different locations by controlling a drive module to drive a gas leakage inspection device to move based on monitoring data and distance data, and determining a first inspection scheme based on the monitoring data at different locations.

Abstract: Embodiments of the present disclosure provide a method and a smart gas Internet of Things (IoT) system for determining abnormality of an ultrasonic metering device and remote adjustment of the ultrasonic metering device.

Abstract: The embodiments of the present disclosure provide a method, an Internet of Things system, and a storage medium for adjustment of pipeline network inspection based on a smart gas geographic information system (GIS). The method comprises: obtaining gas monitoring data and inspection features of at least one inspection unit; determining at least one gas inspection area by dividing a gas pipeline network map of the smart gas GIS and obtaining an inspection result of the at least one gas inspection area; predicting a first abnormality possibility by a first prediction model; predicting a second abnormality possibility by a second prediction model; determining reliability of the inspection result based on a consistency between the first and the second abnormality possibilities; determining updated inspection features by updating the inspection features based on the reliability of the inspection result; and determining an updated gas inspection area based on the updated inspection features.

Abstract: Embodiments of the present disclosure disclose a method for managing personnel safety at a smart gas pipeline network station based on Internet of Things, wherein the method is executed by a smart gas safety management platform of a system for managing personnel safety at a smart gas pipeline network station based on Internet of Things, comprising: obtaining dispatching data of a gas station; determining a reference personnel frequency of a target region, based on the dispatching data; and in response to a first difference not meeting a first preset condition, giving a first warning, and triggering a risk monitoring; wherein the risk monitoring includes: obtaining monitoring data based on a preset monitoring parameter; determining a risk degree of the target region based on the monitoring data; and in response to the risk degree meeting a second preset condition, giving a second warning.

Abstract: The embodiment of the present disclosure provides a method and an Internet of Things (IoT) system for safety monitoring and early warning of a smart gas pipeline network. The method includes: obtaining basic monitoring information; identifying abnormal information in the basic monitoring information; determining at least one abnormal information distribution map; determining a change feature of the abnormal information along a direction of the pipeline network; determining a monitoring point whose change feature meets a preset change condition and an abnormal information type of the monitoring point as at least one key monitoring point and a monitoring content of the at least one key monitoring point; determining an inspection plan and a performance allocation plan; adjusting a preset monitoring frequency of distributed monitoring components located at different key monitoring points and at areas surrounding the different key monitoring points; and generating an alarm message.

Abstract: The present application discloses a method for manufacturing a fin field effect transistor, comprising: step 1: forming fins; step 2, forming first gate structures; and step 3, forming source and drain areas, comprising: step 31: forming a second hard mask layer; step 32: opening a formation area of FinFET, and performing the first time etching on the second hard mask layer; step 33: performing the second time etching to form first grooves in the fins, wherein the second time etching vertically and horizontally etches the isolation dielectric layer, when the second groove is formed next to the exposed surfaces of the isolation dielectric layer, the exposed surfaces of the fins and the first polysilicon gate, as the result, the second groove forms a bridge path; step 34: forming a sacrificial sidewall to fully fill the bridge path; and step 35: filling the first groove with an epitaxial layer.

Abstract: A method and a smart gas Internet of things (IoT) system for metering anti-interference of a gas ultrasonic meter. The IoT system including a smart gas user platform, a smart gas service platform, a smart gas sensing network platform, a smart gas object platform, and a smart gas device management platform. The method may be performed by the smart gas device management platform. The method may include: transmitting at least two sound waves of different frequencies at at least two time-dividing points and receiving at least two echo signals by the gas ultrasonic meter. The at least two time-dividing points may be determined at least based on time-dividing point correlation data; determining, based on the at least two echo signals, a gas flow difference; determining, based on the gas flow difference, whether a noise interference exists; and in response to a determination that the noise interference exists, adjusting a gas metering strategy.

Abstract: Provided are a channel state processing method and apparatus, a system, a terminal, a base station, and a storage medium. The method includes: receiving a configuration parameter sent by the base station; determining channel state information according to the configuration parameter; vectorizing the channel state information, and determining a reference vector coefficient for the channel state information; determining, according to the reference vector coefficient, a vector coefficient variation of the vectorized channel state information; and reporting the vector coefficient variation and the reference vector coefficient separately.

Abstract: The present disclosure provides methods and systems for assessing a pipeline failure based on a smart gas Internet of Things (IoT). The method is implemented by a smart gas safety management platform of an IoT system for smart gas pipeline network safety management, and the method includes obtaining at least one first failure risk in a gas pipeline and a downstream user feature, generating a plurality of candidate gas processing schemes based on the at least one first failure risk, and determining at least one second failure risk based on the at least one first failure risk and at least one of the candidate gas processing schemes.