Abstract: A UE may be configured to select narrower or wider beams that may be suitable for use with a current UE mobility, scattering environment, etc. The UE may track changes to an identified beam of a certain width, and so may recover from tracking or other radio link failures by switching to a beam that is spatially adjacent or to a beam of a different width. The UE may identify a first beam associated with a first beam width based on at least one reference signal received by the UE. The UE may further determine a set of beams based on the first beam width that is associated with the identified first beam, and the determined set of beams may include at least one beam corresponding to the first beam width. The UE may further measure respective channel qualities associated with each beam of the determined set of beams.

Abstract: Embodiments of the present disclosure provide a method and a system for place recommendation in the smart city based on an Internet of Things. The method is implemented by a management platform. The method comprises: obtaining place information and pedestrian flow information of at least one place, the place information including a count of the at least one place, at least one distance between the places, and control measures for entrances and exits in each place, and control measures for passages, and the control measures include whether the entrances, exits, and passages in each place are closed; determining a plurality of candidate control schemes for the at least one place based on the place information and the pedestrian flow information of the at least one place; and determining a target control scheme of the at least one place based on the plurality of candidate control schemes.

Abstract: A terminal is disclosed including a transmitting unit that transmits, to a base station, a schedule request (SR); and a receiving unit that receives, from the base station, an uplink grant indicating scheduling information for transmitting uplink data, wherein the transmitting unit transmits, to the base station, the uplink data by employing the scheduling information. In other aspects, a base station and a system are also disclosed.

Abstract: The embodiments of the present disclosure provide a method and an Internet of Things (IoT) system for determining a gas meter measurement failure of a smart gas, the method including: by the smart gas data center, obtaining, based on the smart gas sensing network platform, gas flow information of pipelines of each level from at least one flow monitoring device, the at least one flow monitoring device being configured in the smart gas object platform; by the indoor smart gas device management sub-platform, determining a candidate area based on the gas flow information; determining a target gas meter based on gas meter reading information of the candidate area, and then determining a maintenance plan for the target gas meter; and sending the maintenance plan to the smart gas data center, and sending the maintenance plan to the smart gas user platform based on the smart gas service platform.

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 an Industrial Internet of Things and a control method of an Industrial Internet of Things for handling failure of an assembly line equipment. The Industrial Internet of Things include a user platform, a service platform, a management platform, a sensor network platform, and an object platform interacting in sequence. The service platform, the management platform, and the sensor network platform all adopt an independent arrangement. The object platform is configured as a plurality of manufacturing equipment arranged in sequence according to a process sequence on the assembly line, and each of the manufacturing equipment separately corresponds to the service platform, the management platform, and the sensor network platform.

Abstract: The disclosure provides a method for determining a restriction scheme in a smart city, which is implemented based on an Internet of Things system for determining the restriction scheme in the smart city. The method includes: determining the urban pollution information through an object platform, sending the urban pollution information to a management platform through a sensor network platform, determining the optimal restriction scheme of the city according to the urban pollution information through the management platform, and sending the optimal restriction scheme to the user platform through the service platform. The urban pollution information including at least one of urban air image, air quality information, and vehicle exhaust information.

Abstract: The embodiments of the present disclosure provide a method for recommending a parking lot in a smart city and an Internet of Things system, implemented based on a management platform of an Internet of Things system for recommending a parking lot in a smart city. The method includes: determining an arrival duration of a user reaching at least one candidate parking lot and a prediction time period corresponding to each candidate parking lot in the at least one candidate parking lot based on a user request; determining an occupation rate of the candidate parking lot during the prediction time period; and determining a recommended parking lot at least based on the occupation rate of the candidate parking lot during the prediction time period and parking lot information of the candidate parking lot.

Abstract: An early warning method and system for a regional public security management in a smart city based on the IoT are provided. The early warning method includes: sending, based on a sensing network sub-platform, a monitoring image of a target region to the management sub-platform; processing, based on a management sub-platform, the monitoring image to determine a risk index of the at least one target region; generating early warning information in response to the risk index of the target region greater than a first threshold, and sending the early warning information to the user platform through a general database of the management platform and the service platform; and obtaining a management instruction based on the user platform, and controlling, according to the management instruction, an unmanned aerial vehicle to go to the target region for monitoring.

Abstract: The disclosure provides a method and a system for muck truck management in a smart city based on Internet of Things. The method is performed by a management platform, including: obtaining construction site information, 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, and performing muck processing information analysis based on the muck truck monitoring data to generate muck truck management information.

Abstract: The embodiments of the present disclosure provide a method for construction planning of a charging pile in a smart city. The method is implemented based on a management platform of an Internet of Things system for construction planning of the charging pile in the smart city. The method comprises: obtaining a region feature of a region to be expanded; determining at least one candidate construction site based on the region feature; the region feature at least including distribution of people flow in the region to be expanded and distribution of existing charging piles in the region to be expanded; and determining at least one target construction site based on the at least one candidate construction site.

Abstract: The embodiments of the present disclosure provide a method and a system for controlling intelligent street lamps in a smart city based on an Internet of Things, the method is realized by a system for controlling intelligent street lamps in a smart city based on the Internet of Things, the system for controlling intelligent street lamps in a smart city includes a user platform, a service platform, a management platform, a sensor network platform and an object platform, the method is executed by the management platform, comprising: receiving road information acquired by the object platform through the sensor network platform, the road information including ambient light intensities and road images, and the object platform including a first sensor; determining road environment information based on the road images; and determining irradiation intensities of the street lamps on a road based on the ambient light intensities and the road environment information.

Abstract: Methods, systems, and devices for wireless communications are described. In a wireless communications system, a user equipment (UE) may receive, from a base station, an indication of a set of component carriers (CCs) for the UE and a respective frequency range (FR) for each CC of the set of CCs. Each CC-FR pairing may be associated with a respective priority of a set of priorities. The UE may initiate a plurality of timers, where each timer of the plurality of timers may correspond to a respective CC-FR pairing. After expiration of a timer of the plurality of timers, the UE may measure one or more reference signals of a subset of the set of CCs based at least in part on a capability of the UE and a priority of the respective CC-FR pairing associated with the timer.

Abstract: Disclosed are compounds of Formula I, methods of using the compounds for inhibiting KRAS activity and pharmaceutical compositions comprising such compounds. The compounds are useful in treating, preventing or ameliorating diseases or disorders associated with KRAS activity such as cancer.

Abstract: The present disclosure discloses an industrial Internet of Things (IoT), a control method, and a storage medium based on a machine vision detection, and provides a technical solution for a timely adjustment of production line parameters according to image information generated during a machine vision data collection on the production line. Through a difference of the image information corresponding to different process operations, a processing situation of different process operations may be obtained, so that more accurate adjustment of the production line parameter may be achieved without increasing the system complexity, thereby effectively reducing a development cost of the industrial IoT, and increasing accuracy of the intelligent manufacturing control.

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 discloses an industrial internet of things with a dual front sub platform and a control method, the industrial internet of things includes 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 a centralized layout, and the management platform and the sensor network platform adopt a front sub platform layout. The control method is used for the industrial internet of things.

Abstract: The present disclosure provides a method for controlling a traffic scheduling strategy in a smart city. The method includes obtaining traffic data information in a preset area during a current time period, the traffic data information at least including a speed of at least one vehicle on at least one road, predicting one or more target areas where traffic congestion is likely to occur from the preset area during a next time period based on the traffic data information in the preset area during the current time period, determining whether the 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: System and method for benchmarking a container orchestration platform in a computing environment uses data contained in a configuration file, which specifies at least one benchmark operation having benchmark actions for container orchestration resource types to be performed in the container orchestration platform, to create a resource manager for each container orchestration resource type specified in the configuration file. Using the created resource managers, a routine for each benchmark action is spawned and executed on container orchestration objects in the container orchestration platform. As the routines are executed, performance metrics are collected and at least some of the collected performance metrics are displayed.

Abstract: Embodiments include methods that may be performed by a processor of a mobile device and a processor of a base station for managing beam failure recovery (BFR). The processor of the mobile device may determine whether a beam failure of a communication link with a base station has occurred, determine whether contention free random access (CFRA) resources have been configured in response to determining that a beam failure has occurred, and initiate contention based random access (CBRA) in response to determining that CFRA resources have not been configured. The processor of the base station may receive from the mobile device a message initiating CBRA, determine whether a downlink beam or quasi-colocation (QCL) assumption a downlink resource of a physical random access channel (PRACH) is different from any active downlink beam or QCL assumption, and perform CBRA with the mobile device.