Abstract: Embodiments herein provide a method for gap scheduling for a UE 100 comprising a plurality of SIMs 150 in a wireless network 1000 by the UE 100. The method includes sending a request for the gap configuration to a first network operator device 200a associated with a first SIM 150a from the plurality of SIMs 150. Further, the method includes receiving the gap configuration corresponding to the gap from the first network operator device 200a. Further, the method includes activating the gap on the first SIM 150a based on the gap configuration. Further, the method includes switching to the second network operator device 200b associated with the second SIM 150b-150n for service reception on the second SIM 150b-150n during the activated gap on the first SIM 150a.

Abstract: In one embodiment, a device obtains path probe data between one or more end-user sites and an online application. The device makes, based on the path probe data, a prediction as to whether a direct Internet access path or a backhaul path would offer better application performance for the online application. The device generates, based on the prediction, a split tunnel policy for a particular end-user site. The device causes a particular end-user site to connect to the online application in accordance with the split tunnel policy.

Abstract: Some embodiments provide a method for configuring an edge computing device to implement a logical router belonging to a logical network. The method configures a datapath executing on the edge computing device to use a first routing table associated with the logical router for processing data messages routed to the logical router. The method configures a routing protocol application executing on the edge computing device to (i) use the first routing table for exchanging routes with a network external to the logical network and (ii) use a second routing table for exchanging routes with other edge computing devices that implement the logical router.

Abstract: Embodiments herein disclose a method for MBS switching and continuity in a 5G wireless network. The method includes establishing, by a gNodeB, a MBS session with a UE. Further, the method includes providing, by the gNodeB, MBS to the UE during the MBS session. Further, the method includes detecting, by the gNodeB, that the at least one MBS is going to get suspended or deactivated. Further, the method includes sending, by the gNodeB, an indication to the UE indicating the at least one MBS going to get suspended or deactivated prior to suspension or deactivation of the at least one MBS at the UE.

Abstract: The present disclosure relates to a communication method and system for converging a 5th-Generation (5G) communication system for supporting higher data rates beyond a 4th-Generation (4G) system with a technology for Internet of Things (IoT). The present disclosure may be applied to intelligent services based on the 5G communication technology and the IoT-related technology, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services. Embodiments herein provide a method for managing control information of MBS services in a wireless network. The method includes broadcasting, by a BS (200) in the wireless network, a first message with scheduling information of a second message to a plurality of UEs (100A) in the wireless network. The method includes receiving, by a UE (100) in the plurality of UEs (100A), the first message.

Abstract: The disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. Methods and systems of HARQ retransmission for NR MBS services Embodiments herein disclose methods and systems of HARQ retransmission for NR MBS services. Embodiments herein disclose a DRX approach and HARQ transmission and retransmission for MBS packets in order to support power efficient and reliable delivery of 5G MBS services. Embodiments herein disclose a DRX approach and HARQ transmission and retransmission for MBS packets, which work for the PTM and PTP based delivery framework for NR MBS.

Abstract: In one embodiment, a device computes states of a network path associated with an online application by representing time series of telemetry data regarding the network path as discrete values. The device generates state trajectories from the states of the network path computed by the device. The device selects one or more sub-sequences of the state trajectories based on prediction performance metrics that represent how well the one or more sub-sequences are able to predict a failure condition of the network path. The device causes a networking entity to use the one or more sub-sequences of the state trajectories to perform predictive routing for the network path.

Abstract: A computer system may connect to various customer-facing devices and manage or automate the order process between a retail store and the customer. The computer system may perform the dialogue and receive an order for items from the retail store and may perform quality control monitoring of the dialogue between customers and employees taking orders. The ordering system may utilize the ordered items in combination with various contextual cues to determine a customer identity which may then be linked to past orders and/or various order preferences. Based on the determined customer identity, the system may provide recommendations of additional order items or order alterations to the customer before personally identifying information has been collected from the customer. The determination of the customer identity and the determination of recommendations may be performed by machine learning algorithms that were trained on customer data and the retail store products.

Abstract: Provided are systems and methods for converting user interface events that occur in a software application developed via a WebGUI framework into activity descriptions and into a bot software program. In one example, a method may include recording events transmitted between a user interface of a web application open within a web browser on a client device and a back-end of the web application on a server, identifying codes associated with user interface elements which are assigned to the recorded events, converting the identified codes assigned to the recorded events into a human-readable descriptions of the recorded events based on a predefined mapping between the codes and the human-readable descriptions stored in the predefined mapping, and displaying the human-readable descriptions of the recorded events based on the identified order among the recorded events.

Abstract: The present invention relates to preparation of pyrazoles. This invention further relates to a continuous flow micro-total process system for preparation of celecoxib, a COX-2 selective non-steroidal anti-inflammatory drug, and analogs thereof.

Abstract: In some examples, a first storage system receives a transfer of a synchronous replication role and an asynchronous replication role of a second storage system to the first storage system, where in the synchronous replication role the second storage system is to synchronously replicate data to the first storage system, and in the asynchronous replication role the second storage system is to asynchronously replicate a first data storage object to a third storage system. The first storage system uses, at the first storage system, translation information to identify a second data storage object that the second storage system is to asynchronously replicate to the third storage system following the transfer.

Abstract: Method and system for detecting potential fraudulent activities in vehicle insurance claims. For example, the method includes receiving, from a mobile computing device, a claim request comprising claims data, receiving, from the mobile computing device, a digital file comprising first images of a vehicle involved in an accident supporting the claim request, extracting metadata from the first images, comparing the metadata with the claims data, generating an assessment of the claim request based at least in part upon the comparing, and displaying the assessment of the claim request via a user interface.

Abstract: Systems and methods for deriving material coefficient values from physical measurements of physical objects are described. These physical measurements can provide material test data.

Abstract: A video analytics based image verification system for obtaining initial vehicle profiles is presented. The system may include an external processing server that receives a location of a vehicle and proximate traffic information to determine whether it is safe for a user to obtain an initial vehicle profile. The external processing server may further determine first and second profile features from video data indicative of the vehicle. The external processing server may compare the second profile feature to an image verification indicator to generate an image verification score. A provider server may receive the first profile feature and the image verification score from the external processing server, and update a risk evaluation to include the initial vehicle profile if the image verification score is above an image verification threshold.

Abstract: A method of controlling the operation of a wind turbine is provided, wherein a control scheme is determined for the wind turbine, wherein the control scheme specifies for a future period of time at least a first operating period in which the wind turbine is operated to provide an output of electrical power to a power grid and at least one shutdown period in which the wind turbine is shut down, the shutdown period being arranged temporally after the first operating period. The wind turbine is operated in accordance with the control scheme. Determining the control scheme includes the obtaining of input data, wherein obtaining input data comprises at least monitoring operation of the wind turbine to obtain monitoring data related to the integrity of the wind turbine, and obtaining weather data indicating weather conditions, and the forecasting of two or more operating parameters.

Abstract: In one embodiment, a device computes, for each of a set of points of presence (PoPs) via which traffic for an online application can be sent from a location, application experience metrics predicted for the application over time. The device assigns, for each of the set of PoPs, weights to different time periods, based on measures of uncertainty associated with the predicted application experience metrics. The device generates, based on the weights assigned to the different time periods for each of the set of PoPs, schedules for probing network paths connecting the location to the online application via those PoPs. The device causes the network paths to be probed in accordance with their schedules. Results of this probing are used to select a particular PoP from among the set of PoPs via which traffic for the online application should be sent from the location during a certain time period.

Abstract: In one embodiment, a device obtains path metrics for a network path via which traffic for an online application is conveyed. The device models uncertainty of an application experience metric predicted for the online application based on the path metrics. The device identifies, based on the uncertainty of the application experience metric modeled by the device, a breaking point in the path metrics at which the application experience metric predicted for the online application is expected to switch from being acceptable to being degraded. The device provides the breaking point in the path metrics for display.

Abstract: In one embodiment, a device obtains client attribute data for clients of an online application that access the online application via a plurality of points of presence in a network. The device forms a performance model that models an application experience metric for the online application as a function of the client attribute data for each of the plurality of points of presence. The device selects, using the performance model, a particular point of presence from among the plurality of points of presence to be used by a particular client to access the online application, based on its client attribute data. The device causes the particular client to access the online application via the particular point of presence selected by the device using the performance model.

Abstract: In one embodiment, a device obtains metrics for a plurality of network paths via which traffic for an online application may be conveyed. The device models, for each of the plurality of network paths, uncertainty of an application experience metric predicted for the online application across different values of one or more metrics for that path, based on its obtained metrics. The device generates, based on the uncertainty of the application experience metric modeled for each of the plurality of network paths, a load balancing schedule for the plurality of network paths, to maximize the application experience metric for the online application across the plurality of network paths and with a minimal amount of uncertainty. The device causes traffic for the online application to be load balanced across the plurality of network paths in accordance with the load balancing schedule.

Abstract: In one embodiment, a device obtains, from a plurality of routers in a network, a set of routing policies that collectively specify a first set of paths in the network, a second set of paths in the network, and time periods during which traffic is to be rerouted from one of the first set of paths to one of the second set of paths in the network. The device identifies overlapping path segments of the second set of paths in the network. The device makes, based in part on the overlapping path segments, a prediction that two or more of the set of routing policies will cause congestion along paths with overlapping path segments. The device adjusts, based on the prediction, the set of routing policies, to avoid causing the congestion.