Abstract: A UE is configured to determine a set of parameters associated with receiving the SSBs, the set of parameters including a first parameter bitmap associated with a serving cell, a second parameter bitmap associated with the neighbor cell, and the SMTC. The UE is configured to determine a search window for searching the received SSBs based on the SMTC and at least one of the first parameter bitmap or the second parameter bitmap. The UE may measure the SSBs searched during the determined search window and send measurement results associated with at least a subset of the measured SSBs to the base station. The UE may also prune measurements to generate the measurement results by removing measurements associated with SSBs received in slots that are not indicated to expect SSBs, based on the first parameter bitmap, the second first parameter bitmap, or the SMTC.

Abstract: A model processing method and apparatus, a device, and a computer-readable storage medium. The method comprises: obtaining a first computational graph corresponding to a model to be trained and a parallelization strategy of said model, the parallelization strategy of said model comprising at least one of pipeline parallelism, model parallelism, data parallelism, and operator splitting (S601); adding parallelization information in the first computational graph according to the parallelization strategy of said model to obtain a second computational graph (S602); determining a distributed computational graph according to the second computational graph and computing resources (S603); and training said model according to the distributed computational graph (S604).

Abstract: The vehicle diagnostic system includes a key management system and a to-be-diagnosed unit. The key management system receives a key authorization request sent by a diagnostic device, generates a temporary key based on the key authorization request, and sends a key authorization response to the diagnostic device. The key authorization response carries the temporary key. The key management system configures the temporary key for the to-be-diagnosed unit, so that the diagnostic device and the to-be-diagnosed unit complete a diagnostic based on the temporary key and obtain a diagnostic result. The temporary key is independent of a long-term key in a vehicle. The temporary key is configured to complete the vehicle diagnostic, so that the diagnostic device can be prevented from accessing the long-term key in the vehicle as much as possible.

Abstract: This disclosure provides systems, methods and apparatus, including computer programs encoded on computer storage media, relating to synchronization signal block (SSB) selection for paging occasions (POs). In an example, a UE may identifying a first SSB overlapping with or after a PO. The UE may further identify that a distance between the first SSB and the PO is less than a distance between a second SSB the PO, the second SSB located before the PO. The UE may further select the first SSB associated with loop operations based on identifying that the distance between the first SSB and the PO is less than a distance between the second SSB the PO.

Abstract: Systems, methods, and apparatus are described herein for training machine learning models to predict probe intensity values using sample-specific image data and/or applying the predicted probe intensity values. As described herein, sample-specific image may include a signal associated with a sample for a process probe in a microarray relating to a single individual. The machine learning model may be trained, using the sample-specific image data, to predict a probe intensity value. The probe intensity value may be a raw probe intensity value or a normalized probe intensity value. After being trained, the machine learning model may receive as input a probe sequence or probe features. The machine learning model may be used to predict a total probe intensity value based on the probe sequence or the one or more probe features.

Abstract: This present disclosure provides a management method and system for affordable housing application. The method is executed by a management platform, and includes obtaining a query request for a risk of the affordable housing application from the service platform, wherein the query request is generated by the user platform based on an input of the affordable housing application by an applicant through the user platform; in response to the query request, through a management sub-platform corresponding to the management platform and a service sub-platform corresponding to the service platform, obtaining relevant information of the applicant and his/her related persons thereof, and determining the risk of the affordable housing application of the applicant; and sending the risk of the affordable housing application to the service platform.

Abstract: The present disclosure provides an industrial Internet of things for monitoring a collaborative robot and a control method, a storage medium thereof, wherein the control method comprises: obtaining position data of the workpiece to be processed as first monitoring data through the sensing network platform; selecting, based on the first monitoring data, a benchmark working parameter matching the first monitoring data from a working parameter library; obtaining, via the sensing network platform, a working parameter of the target collaborative robot as second monitoring data; comparing the second monitoring data with the benchmark working parameter to determine a working state of the target collaborative robot.

Abstract: The embodiments of the present disclosure provide a method and Internet of things (IoT) system for smart gas platform work order fulfillment. The method is executed through the IoT system, and the IoT system for smart gas platform work order fulfillment includes a smart gas user platform, a smart gas service platform, a smart gas management platform, a smart gas sensor network platform, and a smart gas object platform. The method is executed by a smart gas management platform, including: obtaining demand information of at least one gas work order of a gas platform, determining, based on the demand information, a fulfillment mode of the at least one gas work order, and in response to that the fulfillment mode is the manual fulfillment, determining a work order fulfillment plan of the at least one gas work order based on the demand information and personnel information of the gas platform.

Abstract: The present disclosure discloses an Industrial Internet of Things (IIoT) system for automatic control of production line manufacturing parameters, which comprises a user platform, a service platform, a management platform, a sensor network platform and an object platform that interact in turn. The service platform adopts centralized layout, and the management platform and the sensor network platform adopt independent layout. The present disclosure also discloses a control method of the IIoT for automatic control of production line manufacturing parameters.

Abstract: Motors for use in downhole systems such as electric submersible pumps. In one embodiment, an ESP system includes a pump and a motor which drives the pump. The motor has an elongated cylindrical stator and a rotor which is concentrically positioned within a bore through the stator. The rotor is driven by the stator to rotate within the bore. The stator comprises a plurality of separable, interconnected modular stator sections which may be identical. Between each pair of adjacent stator sections, a corresponding interconnect electrically connects coils of magnet wire in the stator sections to a power source. In some cases, the interconnect between stator sections electrically connects the coils of magnet wire serially in the adjacent stator sections. In other embodiments, the coils in adjacent stator sections are connected in parallel the power source.

Abstract: The disclosure relates to a life prediction system for a fan of a lamp. The system comprises a fan signal detecting module to detect at least one working parameter of the fan; and a micro control unit to receive the working current signal, the environment temperature signal and the working rotation speed signal of the fan. The detecting module comprises a current detecting unit to detect a working current of the fan and output a working current signal; a temperature detecting unit to detect a working environment temperature of the fan and output an environment temperature signal; and a rotation speed detecting unit to detect and output a working rotation speed signal of the fan. The micro control unit calculates a predicted residual life of the fan based on the received working current signal, the environment temperature signal, the working rotation speed signal, through the life model of the fan.

Abstract: In a wireless communication system, a user equipment (UE) may measure synchronization signal blocks (SSBs) to evaluate neighbor cells. A UE configured with multiple potential receive beams may conventionally measure one receive beam per SSB. A UE may improve the speed of receive beam measurements by performing measurements using demodulation reference signals (DMRS) of physical broadcast channel (PBCH) symbols, which occur twice per SSB. The UE may perform a cell search for neighbor cells available to the UE in a synchronized network to determine a number of the neighbor cells and timing information for each of the neighbor cells. The UE may measure one or more receive beams using the DMRs of the PBCHs of SSBs received from the neighbor cells. Each receive beam may be measured during a beam switch time unit including a PBCH symbol from each of the neighbor cells according to the timing information.

Abstract: The present disclosure discloses an Industrial Internet of Things for material transportation control, 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 decomposition module configured to divide each material end point into a plurality of sub-nodes; a reconstruction module configured to 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: Certain aspects of the present disclosure provide a technique for wireless communications by a user equipment (UE). The UE implements the technique to select a number of component carriers (CCs) in both a first frequency range and a second frequency range. The UE determines a schedule for performing search and measurement in the selected number of CCs. The UE performs search and measurement in the selected CCs according to the determined schedule.

Abstract: The present disclosure provides a method and system for managing public water in a smart city. The method may be performed by an urban public water management platform. The method may include: obtaining initial rainwater data in at least one area, the initial rainwater data may include rainfall data and rainwater collection data of at least one rainwater collection system, each of the at least one rainwater collection systems corresponding to at least one rainwater collection mode; determining the amount of purified rainwater during a first period corresponding to the at least one rainwater collection mode according to the initial rainwater data in the at least one area; and determining a rainwater storage plan during a second period based on the amount of purified rainwater during the first period corresponding to the at least one rainwater collection mode.

Abstract: This present disclosure provides a production line adaptation method, system and medium based on the Industrial Internet of Things. The method comprises: an instruction generation module configured to generate an adaptation instruction based on production item data of a production line required by a production item input by a user; a production adaptation module configured to generate a target adaptation scheme based on the adaptation instruction; and obtain an adaptation result by adapting the plurality of target production lines based on the target adaptation scheme; a feedback module configured to determine feedback results according to the adaptation results; and a process configuration module configured to perform process configuration on the plurality of target production lines to obtain the production line required by the production item in response to the feedback results indicating that the adaptation is successful.

Abstract: The present disclosure provides a method and a system for predicting air quality 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.

Abstract: Information sending, information determining and relationship determining methods and devices are provided. According to the information sending method, a base station sends M parameter sets via high-layer signaling, wherein M>=1, M is a positive integer, each parameter set includes QCL NZP CSI-RS indication information, indicating a QCL NZP CSI-RS configuration, and comprises a frequency range information indicating a frequency range associated with the QCL NZP CSI-RS configuration, the QCL NZP CSI-RS configuration being used by a terminal to acquire a large-scale characteristic of a channel; and sends parameter set selection information via a physical layer control signal, where the terminal is triggered by the parameter set selection information to determine, according to the parameter set selection information and the QCL NZP CSI-RS indication information of a parameter set among the M parameter sets corresponding to the parameter selection information, QCL CSI-RS configuration of a DMRS.

Abstract: A double cardan constant velocity joint including a housing extending between a housing first end and a housing second end. A first yoke is pivotably coupled to the housing first end by a first spider. The first yoke extends between a first end having a socket and a second end configured for attachment to a first shaft. A second yoke is pivotably coupled to the housing second end by a second spider. The second yoke extends between a first end having a ball stud and a second end configured for attachment to a second shaft. A ball is disposed in the socket, wherein the ball has a recessed pocket for receipt of the ball stud. A biasing member is disposed in the recessed pocket to impart a bias on the ball, wherein pivotal movement of the first yoke and the second yoke causes the ball to translate in the socket.

Abstract: The present disclosure provides a method and system for managing public water in a smart city. The method may be performed by an urban public water management platform. The method may include: obtaining initial rainwater data in at least one area, the initial rainwater data may include rainfall data and rainwater collection data of at least one rainwater collection system, each of the at least one rainwater collection systems corresponding to at least one rainwater collection mode; determining the amount of purified rainwater during a first period corresponding to the at least one rainwater collection mode according to the initial rainwater data in the at least one area; and determining a rainwater storage plan during a second period based on the amount of purified rainwater during the first period corresponding to the at least one rainwater collection mode.