Abstract: A base station includes a plurality of remote units (RUs), each being configured to exchange RF signals with at least one UE. The C-RAN also includes a controller communicatively coupled to the plurality of RUs via a fronthaul interface. The controller is configured to receive a public warning system (PWS) alert message. The controller is also configured to determine a number of bytes, based on a channel bandwidth of a wireless channel used by the base station, for each of a plurality of system information block messages. The plurality of system information block messages are broadcast wirelessly to the at least one UE.

Abstract: The present invention relates to systems and methods for finding and sampling hydrocarbons from seeps in water or from artificial sources of water. The present invention related to systems and methods for in situ analyzing fluid samples in a body of water. The systems and methods can be used to find hydrocarbons and associated non-hydrocarbons from seeps in water. Such seeps may come from natural sources in deep water, possibly as deep as 3000 m or even more.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for utilizing multiple modalities to generate accurate two-dimensional floorplans based on sparse digital videos depicting three-dimensional space. In particular, in one or more embodiments, the disclosed systems extract both visual and audio information from sparse digital video coverage of portions of a three-dimensional space and utilize the extracted visual and audio information to generate a two-dimensional floorplan representing both viewed and unviewed portions of the three-dimensional space. For example, the disclosed systems utilize self-attention layers of a specialized machine learning model to maintain and leverage bi-directional relationships among sequences of visual and audio features to generate floorplan predictions associated with the three-dimensional space.

Abstract: A small cell for selecting a physical cell identifier (PCI) includes at least one processor configured to determine a provisioned list of PCI values from a management system. The at least one processor is also configured to sort the PCI values in the provisioned list into a sorted list based on at least one predetermined pattern and modulo X values of the PCI values, where X is a predetermined integer. The at least one processor is also configured to determine an index for each sector implemented by the small cell based on a sector ID for the sector. The at least one processor is also configured to select, for each sector implemented by the small cell, a PCI value from the sorted list based on a sector ID of the sector.

Abstract: A small cell for automatic configuration of an operational parameter includes at least one processor configured to determine a provisioned list of operational parameters. The at least one processor is also configured to sort the provisioned list into a sorted list. The at least one processor is also configured to select the operational parameter from the sorted list based on a BC ID for the small cell, a sector ID for a sector implemented by the small cell, or some combination.

Abstract: Systems and methods for dual-connectivity split-bearer packet management are presented. In one embodiment, a dual-connectivity, split-bearer base station, comprises: at least one centralized unit (CU) comprising a CU-CP) and at least one CU-UP; at least one DU coupled to the at least one CU-UP, wherein the at least one DU is coupled to one or more RUs configured as a first cell group to establish a first radio link for communicating with UE within a wireless coverage area; an eNodeB coupled to the at least one CU-UP, wherein the eNodeB comprises one or more RPs configured as a second cell group to establish a second radio link for communicating with UE within the wireless coverage area; and a traffic split controller configured to selectively direct PDCP packets to either the DU or the eNodeB as a function of packet delay times associated with the DU and the eNodeB.

Abstract: A device context of a device is identified based on device data including a current state of the device, and a user context of a user is identified based on user data including user interaction with a user interface for the device. A current task that the user is performing on the device in relation to the current state of the device is identified, and knowledge regarding how the user is performing the current task using the user interface is extracted, using an artificial intelligence technique with respect to the identified device context and the identified user context. The extracted knowledge for the identified current task is stored within a knowledge base, and can be used to adapt the user interface for another user performing the current task on the device in the current state.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for utilizing multiple modalities to generate accurate two-dimensional floorplans based on sparse digital videos depicting three-dimensional space. In particular, in one or more embodiments, the disclosed systems extract both visual and audio information from sparse digital video coverage of portions of a three-dimensional space and utilize the extracted visual and audio information to generate a two-dimensional floorplan representing both viewed and unviewed portions of the three-dimensional space. For example, the disclosed systems utilize self-attention layers of a specialized machine learning model to maintain and leverage bi-directional relationships among sequences of visual and audio features to generate floorplan predictions associated with the three-dimensional space.

Abstract: A liquid lens article that includes: a first substrate; and an electrode disposed on a primary surface of the first substrate. The electrode comprises an electrically conductive structure disposed on the primary surface of the first substrate and an optical absorber structure disposed on the electrically conductive structure. The electrode comprises a reflectivity minimum of about 3% or less at a visible wavelength within a range of 390 mm to 700 nm, and a reflectivity of about 25% or less at an ultraviolet wavelength within a range of 100 nm to 400 nm. Further, the absorber structure comprises an absorber layer comprising a metal oxynitride and the electrically conductive structure comprises a metal layer comprising a metal that differs from the metal of the absorber layer of the absorber structure. In addition, the electrode can comprise a sheet resistance from about 5 ?/sq to about 0.5 ?/sq.

Abstract: Tasks of a group are respectively assigned to devices for execution. For each task, a completion time for a task is determined based on an associated cluster of the device to which the task has been assigned for execution is determined. If the completion time of a task exceeds an execution window of the device to which the task has been assigned, the task is removed from the group. The tasks remaining in the group are executed on the devices to which the tasks have been assigned for execution.

Abstract: A base station for performing physical cell identifier (PCI) collision detection. The base station includes at least one processor configured to determine whether a PCI in a radio resource control (RRC) re-establishment message is the same as a PCI used by a cell implemented by the base station. The at least one processor is also configured to determine whether a cell radio network temporary identifier (C-RNTI) in the RRC Re-establishment message is outside a reserved range of C-RNTIs for the cell. The at least one processor is also configured to identify a possible PCI collision for the cell when (1) the PCI in the RRC Re-establishment message is the same as a PCI used by the cell; and (2) the C-RNTI in the RRC Re-establishment message is outside the reserved range of C-RNTIs for the cell.

Abstract: The present invention relates to systems and methods for finding and sampling hydrocarbons from seeps in water or from artificial sources of water. The present invention related to systems and methods for in situ analyzing fluid samples in a body of water. The systems and methods can be used to find hydrocarbons and associated non-hydrocarbons from seeps in water. Such seeps may come from natural sources in deep water, possibly as deep as 3000 m or even more.

Abstract: A small cell for selecting a physical cell identifier (PCI) includes at least one processor configured to determine a provisioned list of PCI values from a management system. The at least one processor is also configured to sort the PCI values in the provisioned list into a sorted list based on at least one predetermined pattern and modulo X values of the PCI values, where X is a predetermined integer. The at least one processor is also configured to determine an index for each sector implemented by the small cell based on a sector ID for the sector. The at least one processor is also configured to select, for each sector implemented by the small cell, a PCI value from the sorted list based on a sector ID of the sector.

Abstract: A small cell for automatic configuration of an operational parameter includes at least one processor configured to determine a provisioned list of operational parameters. The at least one processor is also configured to sort the provisioned list into a sorted list. The at least one processor is also configured to select the operational parameter from the sorted list based on a BC ID for the small cell, a sector ID for a sector implemented by the small cell, or some combination.

Abstract: Tasks of a group are respectively assigned to devices for execution. For each task, a completion time for a task is determined based on an associated cluster of the device to which the task has been assigned for execution is determined. If the completion time of a task exceeds an execution window of the device to which the task has been assigned, the task is removed from the group. The tasks remaining in the group are executed on the devices to which the tasks have been assigned for execution.

Abstract: A device context of a device is identified based on device data including a current state of the device, and a user context of a user is identified based on user data including user interaction with a user interface for the device. A current task that the user is performing on the device in relation to the current state of the device is identified, and knowledge regarding how the user is performing the current task using the user interface is extracted, using an artificial intelligence technique with respect to the identified device context and the identified user context. The extracted knowledge for the identified current task is stored within a knowledge base, and can be used to adapt the user interface for another user performing the current task on the device in the current state.

Abstract: Provided is a method of automatically discovering topology of an information technology (IT) infrastructure. Topology relationships amongst configuration items (CI) present in a semi-structured data generated by an information technology component of the IT infrastructure are determined. Topology relationships amongst configuration items (CI) present in a structured data generated by the information technology component of the IT infrastructure are determined. The topology relationships amongst the configuration items (CI) present in the semi-structured data are reconciled with the topology relationships amongst the configuration items (CI) present in the structured data.

Abstract: A base station for performing physical cell identifier (PCI) collision detection. The base station includes at least one processor configured to determine whether a PCI in a radio resource control (RRC) re-establishment message is the same as a PCI used by a cell implemented by the base station. The at least one processor is also configured to determine whether a cell radio network temporary identifier (C-RNTI) in the RRC Re-establishment message is outside a reserved range of C-RNTIs for the cell. The at least one processor is also configured to identify a possible PCI collision for the cell when (1) the PCI in the RRC Re-establishment message is the same as a PCI used by the cell; and (2) the C-RNTI in the RRC Re-establishment message is outside the reserved range of C-RNTIs for the cell.

Abstract: Examples described relate to identifying a potentially erroneous device in an IoT network. In an example, data from a device in an IoT network. The data may be analyzed against a classification of previous data from the plurality of devices, wherein the classification classifies the previous data as one of an erroneous data, a potentially erroneous data, or a normal data. If the data from the device represents the erroneous data, the device may be included in a set of potentially erroneous devices. A cluster of the device may be determined in a cluster classification. If the device belongs to the erroneous cluster in the cluster classification, associated devices in the erroneous cluster may be added to the set of potentially erroneous devices. If a threshold amount of devices in the set of potentially erroneous devices is higher than a pre-defined value, a notification may be generated.

Abstract: Examples relate to deploying QoS policies in interfaces of network devices of a network. A full traffic matrix of a network is obtained by monitoring network traffic in a set of interfaces of a set of network devices of the network, wherein network traffic is generated by application. A required bandwidth for each application in each interface in the network is determined based on a priority assigned to the applications. A set of interfaces among all the interfaces of the network are identified for deploying a QoS policy. The QoS policy to be deployed in each interface is determined based on an IT policy of the network. Lastly, the determined QoS policies are deployed into the set of interfaces of the network.