Abstract: In some implementations, a video system may capture, from a camera mounted to a vehicle, a video of a portion of a road on which the vehicle is traveling. The video system may detect, in the video, a driving lane associated with the road on which the vehicle is traveling. The video system may detect, in the video, multiple other vehicles within the driving lane. The video system may determine, for each of the multiple other vehicles within the driving lane, a bounding box that substantially surrounds an image of the other vehicle, resulting in a plurality of bounding boxes. The video system may determine a region in the video corresponding to an area to be driven by the vehicle based on the plurality of bounding boxes.

Abstract: In some implementations, a design function may receive a corresponding set of security policy indications. The design function may identify a plurality of network slices, each network slice including at least a subset of the set of network functions. The design function may generate at least one graph representing the plurality of network slices and may simulate, using the at least one graph, traffic through the plurality of network slices. Accordingly, the design function may determine a security template based on at least one conflict detected based on the simulating and may transmit the security template for resolving the at least one conflict.

Abstract: The present teaching relates to a hierarchical and explainable (HE) similarity and use thereof. A target text is identified based on a source text. A HE similarity characterizes the similarity between the source and target texts in terms of multiple assessment categories and is computed based on source and target phrases generated via linguistic features. A HE feature vector is constructed with similarity scores at phrase, word, and character levels. The HE similarity is computed based on the HE feature vector and used to determine whether the target text related to the source text. The HE similarity is used to determine whether the target text relates to the source text.

Abstract: A base station may allocate wireless communication resources to configure a synthetic wireless communication signal for use as a radar signal. The synthetic wireless communication signal may be configured according to a wireless communication protocol of a wireless communication network that is associated with the base station. The base station may transmit, from an antenna and toward an area associated with the base station, the synthetic wireless communication signal. The base station may detect a reflected signal that is associated with the synthetic wireless communication signal. The base station may process the reflected signal to generate radar data; and perform an action associated with the radar data and the area.

Abstract: A network device may receive network data identifying core networks supported by the network device and emergency service data identifying one or more of the core networks that support emergency services. The network device may generate, based on the network data and the emergency service data, system information that includes identifiers of the core networks and indicators of whether the core networks support emergency services. The network device may provide the system information to a user equipment to inform the user equipment about which of the core networks support emergency services.

Abstract: A device may process an image, with a machine learning model, to identify a user in the image and may generate a user identifier for the user. The device may process a portion of the image that includes the user, with the machine learning model, to identify pose points for the user. The device may calculate pose angles of the user based on the pose points and may determine an action of the user based on the pose angles. The device may associate the action with an action identifier, may map the action to an intent, and may generate an intent identifier for the intent. The device may provide the intent to a conversational service and may receive a response from the conversational service. The device may map the response to the intent based on the intent identifier and may provide the response to the user.

Abstract: A device may receive accelerometer data and video data for a vehicle and may identify bounding boxes and object classes for objects near the vehicle. The device may identify tracks for the objects and may filter out tracks that are not associated with vehicles or vulnerable road users to generate one or more tracks or an indication of no tracks. The device may generate a collision cone identifying a drivable area of the vehicle to identify objects more likely to be involved in a collision and may filter out tracks from the one or more tracks, based on the bounding boxes, and to generate a subset of tracks or another indication of no tracks. The device may determine scores for the subset of tracks and may identify a track of the subset of tracks with a highest score. The device may perform actions based on the identified track.

Abstract: A user device may receive a traffic category and/or slice usage policy, and may provide a request for an application. The user device may receive the application with a traffic category and/or slice usage requirement, and may install the application on the user device. The user device may subscribe to traffic categories and/or slices, and may receive approval to utilize the traffic categories and/or slices. The user device may provide, by the application and to an operating system, a connection request for a particular traffic category and/or slice, and may determine whether the application is approved for the particular traffic category and/or slice. The device may provide, to a modem, the connection request and traffic descriptors for the particular traffic category and/or slice based on the application being approved, and may establish a protocol data unit session, for the application, utilizing the particular traffic category and/or slice.

Abstract: A system described herein may monitor, via a Central Unit (“CU”) of a radio access network (“RAN”), radio frequency (“RF”) metrics associated with a User Equipment (“UE”). The monitored RF metrics may be based on communications between the UE and a Distributed Unit (“DU”) that is communicatively coupled to the CU. The system may identify a Multi-Access/Mobile Edge Computing (“MEC”) device that is communicatively coupled to the DU and that provides one or more services to the UE via the DU. The system may resource allocation parameters for the MEC based on the RF metrics between the UE and the DU. The system may instruct the MEC to implement the set of resource allocation parameters. The MEC may modify an allocation of MEC resources, allocated for providing the one or more services to the UE, based on the determined set of resource allocation parameters.

Abstract: A user device may determine to back up a hardware key that is associated with a hardware component of the user device. The user device may determine that the user device has an operation key. The user device may retrieve the hardware key from a first data structure that is included in the user device and may encrypt, based on the operation key, the hardware key. The user device may process, after encrypting the hardware key, the hardware key to generate a hash value and may determine that the hash value is not included in a registry of the user device. The user device may transmit, based on determining that the hash value is not included in the registry, the encrypted hardware key to a server device to cause the hardware key to be backed up in a second data structure associated with the server device.

Abstract: A device that includes a secure element or a secure environment receives a token for authenticating a user that has an account with a service provider. The device generates, based on the token, a set of keys that include at least a private key and a public key. The device performs a key authentication procedure to compare the set of keys and a configured set of keys and selects a public key, of the set of keys or the configured set of keys, based on a result of the key authentication procedure. The device causes a device identifier of the device and the public key to be provided to another device that uses the device identifier and the public key to perform an authentication procedure to authenticate the user. The device receives, from the other device, an indication of whether the device is connected to a network.

Abstract: A method, a device, and a non-transitory storage medium are described in which a SmartNIC-based inline secure communication service is provided. The service is provided by a SmartNIC. The SmartNIC-based inline secure communication service includes encryption and decryption of traffic originating from and destined to virtual devices of a device.

Abstract: An improved discontinuous reception (DRX) mechanism is disclosed. In one embodiment, a method is disclosed comprising receiving a request to attach to a cellular network from user equipment (UE). The method then identifies a group identifier associated with the UE and determines a DRX parameter based on the group identifier. Finally, the method transmits the DRX parameter to the UE.

Abstract: A system described herein may receive audio associated with a voice call; determine an amount of speech in the audio associated with the voice call; determine, based on the amount of speech, an expected length of a transcript, associated with a particular language, of the voice call; generate or receive the transcript, associated with the particular language, of the voice call; identify a length of the transcript, associated with the particular language, of the voice call; compare the length of the transcript to the expected length of the transcript; determine, based on comparing the length of the transcript to the expected length of the transcript, whether the voice call is associated with the particular language; and output an indication of whether the voice call is associated with the particular language.

Abstract: A system described herein may receive a message that includes a set of authentication credentials and first message content. The system may determine whether the authentication credentials are valid. When determining that the authentication credentials are not valid, the system may generate second message content by modifying the first message content, and output the message with the modified message content in lieu of the first message content. When determining that the authentication credentials are valid, the system may output the message with the first message content without modifying the first message content. Verifying the credentials may be performed based on attributes of a sender of the message, such as based on determining that a domain of the sender does not match a domain of a recipient of the message.

Abstract: In the various embodiments, systems and methods are disclosed for sending messages with validated representative links from entities to users on a network. In some embodiments, a message originator can interface with an A2P platform of a message aggregator server to upload a message template including message content and an Internet link. In some embodiments, the A2P platform can obtain a representative link corresponding to the Internet link from a representative link server. In some embodiments, the A2P platform can compile a message including the representative link and other information from the message template. In some embodiments, the A2P module can provide the compiled message to a messaging module of the message aggregator server. In some embodiments, the messaging module can communicate with the representative link server to validate the representative link and, if valid, transmit the compiled message to a messaging server of the network.

Abstract: In some implementations, a video system may receive, from a camera mounted to a vehicle, a video of a portion of a road on which the vehicle is traveling. The video system may extract, from each frame of a plurality of frames associated with the video of the road, a frame strip to form a plurality of frame strips, wherein each frame strip extends a predetermined width in a horizontal direction and a predetermined height in a vertical direction. The video system may form, from each frame strip, a single-pixel strip, to form a plurality of single-pixel strips. The video system may compile the plurality of single-pixel strips to form a motion profile. The video system may determine, using machine learning, one of: at least one driving maneuver associated with the vehicle based on the motion profile, or that no driving maneuvers are present in the motion profile.

Abstract: A device may receive real time audio data associated with a call between an agent and a customer, and may receive customer data identifying historical interactions with the customer. The device may receive chat data associated with the customer or interactive voice response (IVR) data associated with the customer, and may generate, based on the real time audio data, transcript data identifying a real time transcript of the call with the customer. The device may process the real time audio data, the customer data, the chat data or the IVR data, and the transcript data, with a machine learning model, to determine a customer intent and one or more actions to perform based on the customer intent; and may perform the one or more actions.

Abstract: In some implementations, a network device may receive a subscription request to subscribe to receive an event notification based on an event. The event may be associated with the network device receiving a request for discovery of a unified data management (UDM) device. The request for discovery of the UDM device may be based on an identifier of a user equipment (UE). The network device may transmit, based on the subscription request, an indication of a subscription to receive the event notification based on the event.

Abstract: In some implementations, a device associated with at least a first transmission reception point (TRP) and a second TRP may acquire information that indicates timing difference information between the first TRP and the second TRP relative to a user equipment (UE). The device may synchronize, based on the timing difference information, a time of the first TRP with a time of the second TRP for joint transmission of a first signal by the first TRP and a second signal by the second TRP to the UE.