Abstract: A method for communication processing is provided. The method is applicable to a terminal device, where the terminal device is provided with a first subscriber identity module (SIM) card and a second SIM card. The first SIM card and the second SIM card multiplex a hardware resource of the terminal device in a time-division manner. The method includes: obtaining a reception occasion for execution of a non-connected-state service via the second SIM card, when the first SIM card is in a connected state and the second SIM card is in a non-connected state; and determining a connected-state-service gap according to the reception occasion. The terminal device is allowable to execute a connected-state service via the first SIM card in the connected-state-service gap.

Abstract: A pre-training service system is provided. The pre-training service system includes: a producer service module configured to provide a model producer with a model pre-training process for a pre-training dataset and generate a corresponding pre-training model; an optimizer service module configured to optimize the pre-training model according to a fine-tuning dataset provided by a model optimizer and obtain an optimized model; and a consumer service module configured to provide a model consumer with a service interface for the pre-training model or the optimized model, wherein the pre-training model or the optimized model is configured to perform inference on data provided by the model consumer and output a model prediction result.

Abstract: Management of IoT devices through a private cloud. An IoT device is coupled to a gateway. A request from the IoT device to connect to a private cloud, wherein the private cloud is used to manage IoT devices, is received at a private cloud control center agent. An identification of the IoT device is determined. The IoT device is onboarded, using the identification, for management through the private cloud. A device profile of the IoT device is generated. The flow of data to and from the IoT device is regulated through application of IoT rules according to the device profile of the IoT device.

Abstract: Management of IoT devices through a private cloud. An IoT device is coupled to a gateway. A request from the IoT device to connect to a private cloud, wherein the private cloud is used to manage IoT devices, is received at a private cloud control center agent. An identification of the IoT device is determined. The IoT device is onboarded, using the identification, for management through the private cloud. A device profile of the IoT device is generated. The flow of data to and from the IoT device is regulated through application of IoT rules according to the device profile of the IoT device.

Abstract: At least one target area is identified based on a pollution concentration field of a geographic area. At least one candidate site is selected from a plurality of sites within the geographic area based on a relationship between the plurality of sites and pollution sources, where the plurality of sites are potential positions for deploying sensors for monitoring pollution. A target site is determined from the at least one candidate site based on the at least one target area.

Abstract: A computer implemented method, computer system, and computer program product are provided for air-pollution emission source monitoring. To determine the air-pollution emission of a monitored area, location data and air pollution data are taken from sensor stations positioned along a boundary of the monitored area. The macroscale atmospheric data of a region, where the monitored area is located, is also received. A boundary pollutant distribution can be estimated based on the location data and the air pollution data. Horizontal diffusion and vertical diffusion of the monitored area can be estimated based on the boundary pollutant distribution and the macroscale atmospheric data. To determine an accurate amount of pollution contribution caused by a monitored area, a calculation based on the boundary pollutant distribution, the horizontal diffusion, and the vertical diffusion can be used.

Abstract: A method, system, and computer program product, include recording high-frequency wave data of local arid adjacent fault curves of a power grid to compare the high-frequency wave data with historical fault data to detect an actual fault region in the power grid, the power grid having a plurality of sensors distributed in the power grid, each sensor being upstream of one adjacent sensor and downstream of an other adjacent sensor.

Abstract: A communication method includes, in response to determining that target data needs to be sent to a secondary control terminal that has already established a communication connection with a primary control terminal, generating secondary control terminal data including an identifier of the secondary control terminal and the target data, and, in a process of broadcasting synchronization data including an identifier of the primary control terminal, broadcasting the secondary control terminal data.

Abstract: Disclosed is a system comprising: an authentication datastore; a device presence engine; a traffic monitor engine; an authentication presence monitor engine; an authentication server selection engine; and a traffic routing engine. In operation: the device presence engine is configured to detect presence of a user device on a trusted network; the traffic monitor engine is configured to monitor, in response to the detection, traffic on the trusted network from the device; the authentication presence monitor engine is configured to evaluate onboarding characteristics of the user device in response to the monitoring; the authentication server selection engine is configured to select one of a plurality of authentication servers to authenticate the user device to the trusted network, the selecting based on the onboarding characteristics; and the traffic routing engine is configured to route traffic from the user device to the selected authentication server.

Abstract: Authenticating a client device coupled to an authenticator network device for a network. A service request is received from the client device at the authenticator network device. User credentials, including a user ID, a user key, and a nonce for a user are received at the authenticator network device. A token is generated using the received user credentials. The service request is modified to include the token and a user ID parameter that is the user ID to generate a modified service request. The modified service request is used to provide single sign-on access to a service that is the subject of the service request.

Abstract: A processor-implemented method receives a plurality of pollution measurement data, a plurality of geodetic data, and a plurality of meteorological data associated with a geographical area. The processor-implemented method generates a grid of the geographical area, whereby the generated grid virtually divides the geographical area into a plurality of cells. The processor-implemented method associates the received plurality of measurement data, the received plurality of geodetic data, and the received plurality of meteorological data with a cell in the generated grid. The processor-implemented method determines a pollutant contribution value of the cell based on the pollution measurement data associated with the cell and a physical contribution of a plurality of pollutants. The processor-implemented method identifies the pollution source based on a paired comparison of the plurality of cells and displays the location on the geographical area associated with the identified pollution source.

Abstract: Management of IoT devices through a private cloud. An IoT device is coupled to a gateway. A request from the IoT device to connect to a private cloud, wherein the private cloud is used to manage IoT devices, is received at a private cloud control center agent. An identification of the IoT device is determined. The IoT device is onboarded, using the identification, for management through the private cloud. A device profile of the IoT device is generated. The flow of data to and from the IoT device is regulated through application of IoT rules according to the device profile of the IoT device.

Abstract: The disclosure involves multi-source data assimilation. According to an embodiment, first data associated with an indication of environmental quality in a first region is obtained, and second data associated with an indication of environmental quality in a second region is obtained. The first data is of a higher quality than the second data according to a predetermined criterion. The second data is calibrated according to a relationship between the first and second data in an overlap of the first and second regions. Third data associated with an indication of environmental quality in a third region is determined based on the first data and the calibrated second data, wherein the third region comprises at least the first and second regions.

Abstract: Disclosed is a system comprising: an authentication datastore; a device presence engine; a traffic monitor engine; an authentication presence monitor engine; an authentication server selection engine; and a traffic routing engine. In operation: the device presence engine is configured to detect presence of a user device on a trusted network; the traffic monitor engine is configured to monitor, in response to the detection, traffic on the trusted network from the device; the authentication presence monitor engine is configured to evaluate onboarding characteristics of the user device in response to the monitoring; the authentication server selection engine is configured to select one of a plurality of authentication servers to authenticate the user device to the trusted network, the selecting based on the onboarding characteristics; and the traffic routing engine is configured to route traffic from the user device to the selected authentication server.

Abstract: A computer-implemented method includes receiving historical pollution distribution data indicating a pollution distribution in a target area, determining a first searching path for a mobile pollution detecting device that prioritizes subareas in the target area that have not been recently searched relative to other subareas, determining a second searching path for the mobile pollution detecting device that prioritizes subareas in the target area that have a high measure of pollution relative to other subareas, determining whether an amount of the historical pollution distribution data exceeds a threshold amount, and transmitting a signal causing the mobile pollution detecting device to search the target area for pollution based on the first searching path when the amount of the historical pollution distribution data is less than the threshold amount or the second searching path when the amount of the historical pollution distribution data is greater than or equal to the threshold amount.

Abstract: A computer implemented method, computer system, and computer program product are provided for air-pollution emission source monitoring. To determine the air-pollution emission of a monitored area, location data and air pollution data are taken from sensor stations positioned along a boundary of the monitored area. The macroscale atmospheric data of a region, where the monitored area is located, is also received. A boundary pollutant distribution can be estimated based on the location data and the air pollution data. Horizontal diffusion and vertical diffusion of the monitored area can be estimated based on the boundary pollutant distribution and the macroscale atmospheric data. To determine an accurate amount of pollution contribution caused by a monitored area, a calculation based on the boundary pollutant distribution, the horizontal diffusion, and the vertical diffusion can be used.

Abstract: A request related to an access to a network by a first user device may be received. The user device may be included in a plurality of user devices associated with a first first-level security profile assigned to the user. An application extension to an application executing on the first user device may be accessed in response to the request related to the access. A network connectivity file may be provided to the application extension. The network connectivity file may include network configuration information for the first user device. The network configuration information may be associated with a first second-level security profile assigned to the first user device. Instructions to configure the first user device to access the network based at least in part on the network configuration information in the network connectivity file may be provided.

Abstract: Disclosed is a system comprising: an authentication datastore; a device presence engine; a traffic monitor engine; an authentication presence monitor engine; an authentication server selection engine; and a traffic routing engine. In operation: the device presence engine is configured to detect presence of a user device on a trusted network; the traffic monitor engine is configured to monitor, in response to the detection, traffic on the trusted network from the device; the authentication presence monitor engine is configured to evaluate onboarding characteristics of the user device in response to the monitoring; the authentication server selection engine is configured to select one of a plurality of authentication servers to authenticate the user device to the trusted network, the selecting based on the onboarding characteristics; and the traffic routing engine is configured to route traffic from the user device to the selected authentication server.

Abstract: Management of IoT devices through a private cloud. An IoT device is coupled to a gateway. A request from the IoT device to connect to a private cloud, wherein the private cloud is used to manage IoT devices, is received at a private cloud control center agent. An identification of the IoT device is determined. The IoT device is onboarded, using the identification, for management through the private cloud. A device profile of the IoT device is generated. The flow of data to and from the IoT device is regulated through application of IoT rules according to the device profile of the IoT device.

Abstract: A method, system, and computer program product, include recording high-frequency wave data of local arid adjacent fault curves of a power grid to compare the high-frequency wave data with historical fault data to detect an actual fault region in the power grid, the power grid having a plurality of sensors distributed in the power grid, each sensor being upstream of one adjacent sensor and downstream of an other adjacent sensor.