Abstract: A method for detecting objects and labeling the objects with distances in an image includes steps of: obtaining a thermal image from a thermal camera, an RGB image from an RGB camera, and radar information from an mmWave radar; adjusting the thermal image based on the RGB image to generate an adjusted thermal image, and generating a fused image based on the RGB image and the adjusted thermal image; generating a second fused image based on the fused image and the radar information; detecting objects in the images, and generating, based on the fused image, another fused image including bounding boxes marking the objects; and determining motion parameters of the objects.

Abstract: A quality of service traffic steering approach for multi-access edge computing (MEC) environments is disclosed. In an embodiment, a network exposure function (NEF) or similar device (e.g., MEC controller or orchestrator) monitors a quality of service (QoS) of a data session between a user equipment (UE) and an application. The NEF then can determine when the QoS of the data session does not meet a requested service level agreement (SLA). When the SLA is not met, the NEF identifies a MEC host that meets the SLA using a database of MEC applications. Based on the identified MEC host, the NEF re-routes the data session to the MEC host.

Abstract: Disclosed are systems and methods for an electronic security framework that is configured to detect anomalies, determine (or capture) forensics for those events, and enable mediation to not only address the activity causing the anomaly, but also perform processing steps to prevent the same or similar type of anomaly from occurring again at a later time. In some embodiments, as network requests are received, the disclosed framework can determine the type of activity triggered, whereby the request (e.g., packets) can be subject to a deep inspection, which can trigger the request and/or its associated device being quarantined and/or prevented from operating on the network entirely should a suspect activity that can predicate an anomaly or set of anomalies be detected. The disclosed systems and methods, therefore, provide an advanced, adaptive security backstop for existing networks in order to maintain the integrity of the operations being performed thereon.

Abstract: Systems and methods described herein provide for generating behavior profiles for a plurality of end devices associated with an end user; receiving, from the end user, a request for an over-the-air (OTA) update for the plurality of end devices; generating an OTA update campaign plan based on the behavior profiles responsive to the request; providing the OTA update campaign plan to the end user; receiving, from the end user, a modified request for the OTA update; and generating an OTA update campaign schedule responsive to the modified request.

Abstract: The present disclosure provides (a) a pharmaceutical composition comprising a levodopa active agent and a carbidopa active agent and (b) methods of treating Parkinson's disease and associated conditions comprising administering the pharmaceutical composition to a subject with Parkinson's disease.

Abstract: In some implementations, a network device may receive an identifier associated with an application server. The network device may associate the identifier with a service profile associated with a network slice based on a quality of service associated with the network slice. The network device may provide, to a device associated with the application server, information indicating that the identifier is associated with the service profile. The network device may receive address information associated with the application server. The network device may associate the address information with the service profile. The network device may provide service profile information to a security device included in a core network to cause the security device to forward traffic transmitted by the application server toward a destination via the network slice. The service profile information may include an identifier associated with the service profile, the identifier, and the address information.

Abstract: The present disclosure relates to (a) carbidopa prodrugs, (b) pharmaceutical combinations and compositions comprising a carbidopa prodrug and/or an L-dopa prodrug, and (c) methods of treating Parkinson's disease and associated conditions comprising administering a carbidopa prodrug and an L-dopa prodrug to a subject with Parkinson's disease.

Abstract: A system described herein may provide a technique for the predictive determination of regions, such as registration areas associated with a wireless network, with respect to a User Equipment (“UE”) that registers with the wireless network. Such registration areas may be associated with different services, Quality of Service (“QoS”) parameters, network slices, or the like. When registering with the wireless network, the UE may receive an indication of a registration area that includes multiple tracking areas, which include a tracking area in which the UE is currently located and one or more other tracking areas in which the UE is likely to enter, as predicted based on one or more artificial intelligence/machine learning (“AI/ML”) models. The prediction may be based on the current location of the UE, UE attributes or parameters, and/or historical location information associated with the UE and/or other UEs.

Abstract: Implementations generally relate methods, systems, and computer readable media for providing automatic access point registration. In some implementations, a method includes receiving an indication of automatic device onboarding activation. The method further includes receiving a selection of one or more reference devices. The method further includes determining one or more detectable devices of the one or more candidate devices to be onboarded that are detectable by at least one of the one or more reference devices. The method further includes obtaining one or more automatic configuration parameters from one or more of the reference devices. The method further includes configuring one or more of the detectable devices to be onboarded with the one or more automatic configuration parameters.

Abstract: A network device may receive a request to connect to a network from a user equipment device and perform a first admission control procedure to determine whether to temporarily allow the user equipment device to connect to the network. The network device may receive information identifying a slice associated with the user equipment device in response to determining to temporarily allow the user equipment device to connect to the network. The network device may perform a second admission control procedure to determine whether to allow the user equipment device to connect to the network. The second admission control procedure is based on the slice associated with the user equipment device. The network device may allocate network resources to the user equipment device in response to determining to allow the user equipment device to connect to the network.

Abstract: A system includes one or more devices. The devices are configured to: receive a message indicating that a network slice has been deployed in a network, wherein the message includes information related to the network slice; send the information to an application that provides services to User Equipment (UE) devices subscribed to the network; and initiate updates to UE route selection policies (URSPs) in the network based on the information, allowing communications from UE devices to reach the network slice.

Abstract: A network device receives location information for a user equipment device (UE), an application identifier (ID), and a latency requirement associated with a data session involving the UE. The network device retrieves from a database, based on the UE's location information, the application ID, and the latency requirement, Multi-Access Edge Computing (MEC) selection weight values associated with multiple MEC platforms. The network device selects a MEC platform, from among the multiple MEC platforms, based on the retrieved MEC selection weight values, and causes the data session to be established between the selected MEC platform and the UE.

Abstract: The present disclosure discloses a method for increasing the usage efficiency of a lipase in the enzymatic reaction, belonging to the technical field of food processing. In the present disclosure, the peroxide value of raw materials required for enzymatic synthesis of a structured lipid is reduced by a distillation method or an adsorption method, and then the raw material and a lipase undergo catalytic reaction to synthesize the structured lipid, so as to maintain the activity of the lipase and increase the reuse rate of the enzyme. The distillation method includes deodorization and molecular distillation. The present disclosure provides a method for manufacturing a structured lipid by a high efficiency and low-cost enzymatic synthesis, addressing to the issues such as large enzyme consumption, expansive cost, low enzyme utilization rate in the traditional industrial production. Therefore, the method provided by the present disclosure has certain development potential and practical significance.

Abstract: A device may receive provisioning data identifying an application server and a user equipment. The device may provide a request for reachability data associated with the user equipment and may receive the reachability data. The device may cause a trigger for a packet and data identifying the application server to be provided to the user equipment. The device may receive, from the user equipment, the packet that includes a network address and a port identifier of a port of the user equipment. The device may provide, to a firewall associated with the application server, an identifier, the network address, and the port identifier. The device may cause, via the firewall, the reachability data, the network address, and the port identifier to be provided to the application server to enable the application server to provide data to the user equipment.

Abstract: A device may create a list of identifiers for base stations that support a fixed wireless service for a user device. The device may receive a first identifier of a first base station associated with a first attach request of the user device. The device may enable the fixed wireless service for the first base station for the user device when the first identifier is included in the list of identifiers. The device may disable the fixed wireless service for the first base station for the user device when the first identifier is not included in the list of identifiers.

Abstract: Systems described herein provide techniques for establishing and modifying user plane communications sessions between Long-Term Evolution (“LTE”) User Equipment (“UE”) devices, connected to LTE base stations, and a Fifth Generation (“5G”) core network. An LTE-5G Interworking function (“LTE-5G IWF”) may logically generate a virtual 5G UE and/or 5G base station, map a LTE UE to the virtual 5G UE, and cause the establishment of a Protocol Data Unit (“PDU”) Session, at the 5G core network, with the virtual 5G UE. The LTE-5G IWF may provide PDU Session information to the LTE UE and base station to facilitate the establishment of user plane communications (e.g., via a tunnel) between the LTE UE and the 5G core network. The LTE-5G IWF may also receive modification parameters, such as Quality of Service (“QoS”) parameters, and provide instructions to the 5G core and/or to the LTE UE to handle traffic according to such parameters.

Abstract: A snapshot hyperspectral imaging method includes the steps of: S1, selecting a set of reference wavelengths for calibration, rectifying the shifted positions due to dispersion at each reference wavelength, and selecting a center wavelength; S2, estimating relative dispersion at each reconstructed wavelength with respect to the center wavelength; S3, generating a dispersion matrix describing the direction of dispersion, and generating a spectral response matrix using a spectral response curve of a sensor; S4, capturing images blurred with dispersion; S5, deblurring the dispersed images captured in S4 using the dispersion matrix and the spectral response matrix generated in S3 to obtain spectral data spatially aligned in all spectrums; and S6, projecting the aligned spectral data obtained in S5 into color space, extracting a foreground image by a threshold method, sampling the dispersed images obtained in S4 as strong prior constraints for the foreground image, and reconstructing accurate spatial hyperspectral

Abstract: An Internet of Things (IoT) device may receive a network configuration profile including one or more parameters relating to a scan interval and a mode priority of the IoT device indicating a priority for a first IoT network over a second IoT network. The IoT device may scan for an availability of the first IoT network. Based on determining that the first IoT network is unavailable, the IoT device may scan for an availability of the second IoT network. Based on determining that the second IoT network is available, the IoT device may initiate a network connection with the second IoT network. While connected to the second IoT network, the IoT device may scan for the availability of the first IoT network. Based on determining that the first IoT network is available, the IoT device may initiate a network connection with the first IoT network.