Abstract: Examples are described herein for monitoring power source usage of a computing device, including a battery and another power source, over time. In various examples, time periods of this monitored time may be added to a time count based on their immediately previous or immediately subsequent time periods satisfying a condition. The time count may be used to track periods of time during which certain power source usage factors are present that may lead to or may indicate the presence of battery swelling. After a time period is added to the time count, the updated time count can be compared to a time count threshold, and a user of the computing device may be warned based on the comparison. The threshold and warning may be selected to warn a user of potential present or future swelling of the battery.

Abstract: The present invention discloses a system (100) and a method for triggering 5G network elements. The system (100) includes an interworking unit to facilitate exchange of messages between a Service Capability Exposure Function (SCEF) and Network Exposure Function (NEF) (114). The system (100) includes the NEF (114) obtains a short message Service Function ID (SMSF ID) associated with a device (for example, a user equipment or a network element) and transmits a request along with the SMSF ID to the SCEF via the interworking unit. The interworking unit receives the request from the NEF (114), converts the request into a format compatible with the SCEF, and transmits the converted request thereto.

Abstract: The present disclosure provides a system and a method for monitoring an event in a network The system comprises a converged network exposure function (CNEF) that uses an interface between a network exposure function (NEF) (304, 404) and a service capability exposure function (SCEF) (306, 406) to monitor various events in the network. Further, the system facilitates an application function (AF) (302, 402) to access the SCEF (306, 406) and manage subscriptions on a single end point via the interface.

Abstract: The present disclosure 5 related to a method (1000) for communication. The method (1000) comprising initiating (1002) at least one request message towards a short message service centre SMSC (212), receiving (1004) the at least one request message by the SMSC (212) and forwarding (1006) the at least one request message towards a mobile number portability unique porting code gateway (MNPUPCGW) 10 (202). The method (1000) comprising determining (1008) a mobile station integrated services digital network (MSISDN) range of the UE (204) based on the received at least one request message. The method (1000) comprising performing (1010) at least one query in a database (210) to select at least one mobile number portability clearing house (MCH) belonging to the determined MSISDN range, and 15 routing (1012) the received at least one request message to the at least one selected MCH over the SMPP interface and receiving (1014) the at least one request message.

Abstract: The present disclosure handles Evolved Packet Core (EPC) and 5G Core (5GC) interworking for network exposure scenarios. The present disclosure exposes network capabilities and User Equipment (UE) related information to external Application functions (AF) and to internal Network Functions (NFs). The present disclosure supports monitoring of event exposure of the NFs and expose the events of the NFs to the AF. The present disclosure supports device triggering. The present disclosure supports Non-IP Data Delivery (NIDD) Configuration. Further, the present disclosure supports Mobile Originated (MO), Mobile Terminated (MT) and SM-Context creation. Also, the present disclosure provides a proprietary interface for communication between Network Exposure Function (NEF) and Service Capability Exposure Function (SCEF) while aggregating data from 4G and 5G network.

Abstract: A test equipment system can provide signals to, or receive signals from, a device under test (DUT). The test system can include an output stage with output buffer circuitry that can be locally or externally controlled. An external controller can be used to provide precision input signals and, in response, measure current at a DUT interface node of the system, or measure voltage characteristics of various components inside the system. Using the input signals from the external controller, one or more aspects of the test system can be calibrated. For example, resistances of sense resistors in the output stage can be calibrated using current signals received from the external controller. In another example, buffer offset characteristics can be determined using signals from the external controller to control local drive circuitry of the system.

Abstract: Examples are described herein for monitoring power source usage of a computing device, including a battery and another power source, over time. In various examples, time periods of this monitored time may be added to a time count based on their immediately previous or immediately subsequent time periods satisfying a condition. The time count may be used to track periods of time during which certain power source usage factors are present that may lead to or may indicate the presence of battery swelling. After a time period is added to the time count, the updated time count can be compared to a time count threshold, and a user of the computing device may be warned based on the comparison. The threshold and warning may be selected to warn a user of potential present or future swelling of the battery.

Abstract: The present disclosure provides a method for triggering elements in a network (301). The method comprising communicating a device trigger (DT) request to a network exposure function (NEF) (304), communicating a mobile management entity (MME) identifier (ID) request to a unified data management (UDM) (308), and obtaining an MME ID response including the MME ID from the UDM (308). The method comprising communicating the DT request and the MME ID to a service capabilities exposure function (SCEF) (306), communicating the DT request and the MME ID to an internet protocol short message (IPSM) gateway/short message service center (SMSC) (312), communicating the DT request to a mobile management entity (MME)/access and mobility management function (AMF) (316) based on the MME ID. The method comprising communicating by the MME/AMF (316), the DT request to a user equipment (UE) (318).

Abstract: Improved artificial intelligence computer systems actively and/or passively provide end-users with information from firm data systems to help the end-user perform the end-user's job functions. In a passive implementation, the system can prioritize emails for a user, craft consistent responses to multiple email inquiries on the same topic, craft responses whose content is drawn from a library of electronic documents, and/or suggest text for an electronic document being authored by the end-user. In an active implementation, the system comprises AI agents associated with individual databases of the system, where the AI agents are tuned to retrieve data from their associated database in response to a query from the end-user.

Abstract: The disclosed technology can generally relate to methods for manufacturing spent coffee ground derived microbots for purifying contaminated water sources. The method for manufacturing the spent coffee ground derived microbots can include obtaining coffee grounds, magnetizing the coffee grounds, and coating the magnetized coffee ground with ascorbic acid. Magnetizing the coffee grounds can include immersing the coffee ground in a solution of iron oxide nanoparticles and ethanol, mixing the coffee grounds and the solution, and allowing the coffee grounds and the solution to sit undisturbed for a predetermined period.

Abstract: Examples described herein include systems and methods for contextually providing automated device enrollment into a management system. A management application on a user device can receive network settings for connecting to a local server. The network settings can be preconfigured by an administrator. The management application can cause the user device to send an enrollment request and a device identifier to the local server. The device identifier can be used to validate the device and provide a security token to the management application. The management application can use the security token to complete enrollment of the user device.

Abstract: Improved artificial intelligence computer systems actively and/or passively provide end-users with information from firm data systems to help the end-user perform the end-user's job functions. In a passive implementation, the system can prioritize emails for a user, craft consistent responses to multiple email inquiries on the same topic, craft responses whose content is drawn from a library of electronic documents, and/or suggest text for an electronic document being authored by the end-user. In an active implementation, the system comprises AI agents associated with individual databases of the system, where the AI agents are tuned to retrieve data from their associated database in response to a query from the end-user.

Abstract: Improved artificial intelligence computer systems actively and/or passively provide end-users with information from firm data systems to help the end-user perform the end-user's job functions. In a passive implementation, the system can prioritize emails for a user, craft consistent responses to multiple email inquiries on the same topic, and/or craft responses whose content is drawn from a library of electronic documents. In an active implementation, the system comprises AI agents associated with individual databases of the system, where the AI agents are tuned to retrieve data from their associated database in response to a query from the end-user.

Abstract: Examples are described herein for monitoring power source usage of a computing device, including a battery and another power source, over time. In various examples, time periods of this monitored time may be added to a time count based on their immediately previous or immediately subsequent time periods satisfying a condition. The time count may be used to track periods of time during which certain power source usage factors are present that may lead to or may indicate the presence of battery swelling. After a time period is added to the time count, the updated time count can be compared to a time count threshold, and a user of the computing device may be warned based on the comparison. The threshold and warning may be selected to warn a user of potential present or future swelling of the battery.

Abstract: An example of an apparatus including a network interface to receive enrollment data from a device, wherein the device is identified by a device identifier. The apparatus further includes a memory storage unit connected to the network interface. The memory storage unit receives device history data associated with the device identifier while the device is enrolled. The memory storage unit is also to maintain a database to store the device history data associated with the device identifier. The apparatus also includes a processor to receive a de-enrollment command associated with the device via the network interface. The de-enrollment command causes the processor to modify the device identifier stored in the database.

Abstract: Examples described herein include systems and methods for contextually providing automated device enrollment into a management system. A management application on a user device can receive network settings for connecting to a local server. The network settings can be preconfigured by an administrator. The management application can cause the user device to send an enrollment request and a device identifier to the local server. The device identifier can be used to validate the device and provide a security token to the management application. The management application can use the security token to complete enrollment of the user device.

Abstract: One embodiment of a wellbore to fracture connectivity apparatus comprises an opening portion representing an opening in a wellbore for receiving fluid, proppant, or any combination thereof to generate at least one fracture in a formation; a fracture portion representing the at least one fracture in the formation; and a coupling portion representing wellbore to fracture connectivity between the opening portion and the fracture portion. The coupling portion couples the opening portion and the fracture portion.

Abstract: Systems, methods, and non-transitory computer-readable media can be configured to determine a video embedding for a video content item based at least in part on a first machine learning model. A set of music embeddings can be determined for a set of music content items based at least in part on a second machine learning model. The set of music content items can be ranked based at least in part on the video embedding and the set of music embeddings.

Abstract: Examples described herein include systems and methods for contextually providing automated device enrollment into a management system. A management application on a user device can receive network settings for connecting to a local server. The network settings can be preconfigured by an administrator. The management application can cause the user device to send an enrollment request and a device identifier to the local server. The device identifier can be used to validate the device and provide a security token to the management application. The management application can use the security token to complete enrollment of the user device.

Abstract: Improved artificial intelligence computer systems actively and/or passively provide end-users with information from firm data systems to help the end-user perform the end-user's job functions. In a passive implementation, the system can prioritize emails for a user, craft consistent responses to multiple email inquiries on the same topic, and/or craft responses whose content is drawn from a library of electronic documents. In an active implementation, the system comprises AI agents associated with individual databases of the system, where the AI agents are tuned to retrieve data from their associated database in response to a query from the end-user.