Abstract: The method includes: grouping multiple cloud service components in a cloud platform into communities based on call relationships, with intra-community call closeness no more less than a preset value and inter-community closeness less than the value; if at least one target component in a first community has performance below a preset level (meeting the first preset condition), creating a second community identical to the first to share part of its load.

Abstract: A method for producing and sorting multiple products includes obtaining job data indicating a size and number of each of the products to be produced and sorted. The method also includes determining, based on both (i) the size and number of each of the products, and (ii) an available amount of space in a loading area, an order of production for the products. The method also includes causing a manufacturing system to produce each of the products according to the order of production, and operating a robotic apparatus to move each of the products into a target location in the loading area based on the order of production of the products.

Abstract: This application provides a robot base station, robot system, pedestal module, and functional components of the base station. The robot base station includes: a pedestal for docking the robot and multiple functional components, each with at least one functional module, providing various services to the robot. Any of these functional components can be combined with the pedestal, and at least some of the functional components can be assembled together and then combined with the pedestal, forming a base station with various functional combinations and quantities. The robot base station is designed modularly. By combining various functional components with the pedestal according to the actual needs of users, a base station that meets diverse needs of different users can be obtained.

Abstract: Embodiments of this application provide a robot, a robot base station, and a robot system. The robot base station comprises: a base stand for docking the robot; a cleaning device for cleaning the robot; a water supply device for supplying water to the robot and/or the cleaning device; a dust collection device for collecting dust from the robot; a power supply device for charging the robot. The base stand is equipped with docking devices for connecting the aforementioned devices to the robot, including docking devices for docking, charging, dust collection, water supply, and wastewater retrieval. The robot base station provide various services for the robot, reducing user intervention, enhancing the robot's level of automation, and improving the efficiency of robot cleaning.

Abstract: The present disclosure provides a graphene composite plastic for heat dissipation, comprising 10%-85% of carrier resin, 10%-85% of modified graphene, 1%-10% of lubricant, 1%-5% of coupling agent and a stabilizer. The present disclosure also provides a method for preparing the above graphene composite plastic.

Abstract: The present disclosure provides a graphene composite plastic for heat dissipation, comprising 10%-85% of carrier resin, 10%-85% of modified graphene, 1%-10% of lubricant, 1%-5% of coupling agent and a stabilizer. The present disclosure also provides a method for preparing the above graphene composite plastic.

Abstract: Determining RAN performance outlier information is disclosed. In an aspect, RAN data for a current condition can be analyzed in view of historical RAN data to determine if the current condition in atypical and represents an outlier condition. In an aspect, historically similar environments between the historical and current RAN data can allow the analysis to have increased relevance. The disclosure can employ a binary array to facilitate determining performance outlier information. In an aspect, the present disclosure can be performed in a distributed computing environment and is scalable to manage large data volumes. Performance outlier information can be employed in alerts, scheduling repair, planning hardware or software upgrades, tracking rollout of new features, etc.

Abstract: Determining RAN performance outlier information is disclosed. In an aspect, RAN data for a current condition can be analyzed in view of historical RAN data to determine if the current condition in atypical and represents an outlier condition. In an aspect, historically similar environments between the historical and current RAN data can allow the analysis to have increased relevance. The disclosure can employ a binary array to facilitate determining performance outlier information. In an aspect, the present disclosure can be performed in a distributed computing environment and is scalable to manage large data volumes. Performance outlier information can be employed in alerts, scheduling repair, planning hardware or software upgrades, tracking rollout of new features, etc.

Abstract: Determining RAN performance outlier information is disclosed. In an aspect, RAN data for a current condition can be analyzed in view of historical RAN data to determine if the current condition in atypical and represents an outlier condition. In an aspect, historically similar environments between the historical and current RAN data can allow the analysis to have increased relevance. The disclosure can employ a binary array to facilitate determining performance outlier information. In an aspect, the present disclosure can be performed in a distributed computing environment and is scalable to manage large data volumes. Performance outlier information can be employed in alerts, scheduling repair, planning hardware or software upgrades, tracking rollout of new features, etc.

Abstract: Determining RAN performance outlier information is disclosed. In an aspect, RAN data for a current condition can be analyzed in view of historical RAN data to determine if the current condition in atypical and represents an outlier condition. In an aspect, historically similar environments between the historical and current RAN data can allow the analysis to have increased relevance. The disclosure can employ a binary array to facilitate determining performance outlier information. In an aspect, the present disclosure can be performed in a distributed computing environment and is scalable to manage large data volumes. Performance outlier information can be employed in alerts, scheduling repair, planning hardware or software upgrades, tracking rollout of new features, etc.

Abstract: A method and a system for implementing privacy control in a communication network are provided. The method comprises the steps of generating a first Request Verification Code (RVC) for each user request in a privacy server by means of parameter hashing or non-Parameter-hashing and forwarding the user request together with the first RVC to the SP; and verifying a second RVC and user privacy setting (s) in a privacy server, wherein the second RVC is received together with a further request from the SP. The system comprises an untrustworthy subsystem comprising at least one Service Provider (SP) for providing application service and a trustworthy subsystem comprising at least one mobile operator module for providing communication service, wherein the mobile operator module further comprises at least one mobile core network for providing user privacy control by means of Request Verification Code (RVC).

Abstract: The present invention provides a method and a compiler of compiling a source program. According to an aspect of the present invention, there is provided a method of compiling a source program comprising: identifying a hint related to vector aligning when syntax analyzing said source program; and generating a simplified code based on said identified hint related to vector aligning when generating a code.

Abstract: A method and a system for implementing privacy control in a communication network are provided. The method comprises the steps of generating a first Request Verification Code (RVC) for each user request in a privacy server by means of parameter hashing or non-Parameter-hashing and forwarding the user request together with the first RVC to the SP; and verifying a second RVC and user privacy setting (s) in a privacy server, wherein the second RVC is received together with a further request from the SP. The system comprises an untrustworthy subsystem comprising at least one Service Provider (SP) for providing application service and a trustworthy subsystem comprising at least one mobile operator module for providing communication service, wherein the mobile operator module further comprises at least one mobile core network for providing user privacy control by means of Request Verification Code (RVC).

Abstract: The present invention provides a method and a compiler of compiling a source program. According to an aspect of the present invention, there is provided a method of compiling a source program comprising: identifying a hint related to vector aligning when syntax analyzing said source program; and generating a simplified code based on said identified hint related to vector aligning when generating a code.

Abstract: A method and system for implementing watchpoints used in debugging a computer program includes: during the compilation phase of the program, generating the access location information for the variables in the program through data flow analysis; and during the debugging phase of the program, implementing the watchpoint for a program variable as specified by the user according to the access location information for the program variable. The access location information may be generated from DU chains or UD chains for the variables. The implementing step may set the watchpoint by setting a breakpoint at each of the locations in the access location information for the specified variable and marking the breakpoint as bound to the specified program variable, and by triggering the watchpoint when a breakpoint marked as bound to the specified program variable is hit.