Abstract: Disclosed herein is a method for managing network resources of a communication network. The method includes determining a number of expected users to be physically present at a planned event. The expected users are associated with a network operator. The method also includes adapting an amount of available network resources for the network operator in conjunction with the planned event based on the number of expected users. Also disclosed herein is a computer program product, an apparatus and a control node.

Abstract: A set of first candidate topologies of first candidate roadside infrastructure nodes at respective mounting locations in a geographic area is randomly generated. For each of the first candidate topologies, first simulations, including detection of objects according to selected sensor parameters, installation parameters, and environment parameters for the candidate nodes at the respective mounting locations, are executed. First fitness scores are determined for each of the first candidate topologies by comparing results of the first simulations to ground truth data. Upon identifying one of the first fitness scores as exceeding a threshold, the candidate topology associated with the identified first fitness score is identified for deployment.

Abstract: Embodiments provide method and systems for determining connectivity information of payment network for a reliable payment transaction. The method includes receiving a connectivity information request before performing a payment transaction via payment network. The method includes generating a connectivity check message including a plurality of connectivity status flags associated with payment entities in payment network. The method includes sending the connectivity check message to the payment entities in a predefined sequence of a payment transaction flow in the payment network. The method further includes facilitating setting up the plurality of connectivity status flags based on a successful communication of the connectivity check message between the payment entities in the predefined sequence. The method includes determining if each of the plurality of connectivity status flags is set with the success state.

Abstract: Provided herein are systems for carbonation curing and CO2 mineralization of concrete composites and methods of manufacturing a carbonated concrete composite. A method of manufacturing a carbonated concrete composites includes contacting concrete with CO2-containing gas streams in the carbonation reactor having a gas stream inlet and an outlet to provide optimal gas flow distribution and gas velocity. The concrete precursor includes a binder, one or more aggregates, and water. A gas stream is received at the carbonation reactor. The gas stream includes carbon dioxide. The concrete precursor is maintained at a suitable temperature in the carbonation reactor to thereby react the concrete precursor with the gas stream to produce carbonate minerals in the carbonated concrete composite.

Abstract: In an example embodiment, a method of reducing SR max retransmissions in a communication network is disclosed. The method includes: accessing an SR max retransmission UE pool stored in a storage of the base station, the SR max retransmission UE pool being a list of plurality of UEs which experienced SR max retransmission. The method further includes identifying at least one UE in the SR max retransmission pool that would enter an SR max retransmission state, based on a last PUSCH uplink time period and a SR max retransmission time period associated with the at least one UE. Further, the method includes allocating a dummy UL grant to the identified at least one UE.

Abstract: The present disclosure relates to knowledge based authentication whereby a user is authenticated through third-party linked accounts. The method includes receiving an authentication request from a merchant computer, assessing one or more data fields to generate an authentication challenge for the user, connecting to one or more third-party account service provider to extract user-related data, generating the authentication challenge based on the extracted user-related data from the third-party account service provider, posing the authentication challenge to the user on a user device, receiving a response to the authentication challenge, and returning the authentication response to the merchant.

Abstract: Embodiments of the disclosure disclose a method for applying an effect in a video by an electronic device. The method includes: detecting a first object and a second object in an image frame of the video; determining a type of motion of the first object and the second object in video; determining a speed of the motion of the first object and the second object in the video; determining a first effect to be applied to the first object and a second effect to be applied to the second object based on the type of motion of the first object and the second object and the speed of the motion of the first object and the second object; and applying the first effect to the first object and the second effect to the second object.

Abstract: A method for direct communication between a source endpoint executing in a first datacenter and a destination endpoint executing in a second datacenter. The method receives, at a gateway of the second datacenter, a packet sent by the source endpoint, the packet having a header that includes a source IP address corresponding to a public IP address of the first datacenter, a destination IP address corresponding to a public IP address of the second datacenter, and source and destination port numbers. The method performs a DNAT process on the packet to replace at least the destination IP address in the header with a private IP address of the destination endpoint. The DNAT process identifies the private IP address by mapping the source and destination port numbers to the private IP address of the destination endpoint. The method then transmits the packet to the destination endpoint in the second datacenter.

Abstract: Disclosed are various embodiments for managing deployment model migrations for enrolled devices. A client application can transmit a capability status to a management service in an instance in which a plurality of device conditions of the client device are validated. The client application can obtain and execute instructions that cause the client application to manage a migration of the client device from a first configuration to a second configuration. A user interface can be pinned on a display of the client device in an instance in which an enterprise environment endpoint is identified and a migration interface on the client device executed. The client application can transmit samples of device conditions of the second configuration of the client device to the management service.

Abstract: Upon occurrence of multiple errors in a central processing unit (CPU) package, data indicating the errors is stored in machine check (MC) banks. A timestamp corresponding to each error is stored, the timestamp indicating a time of occurrence for each error. A machine check exception (MCE) handler is generated to address the errors based on the timestamps. The timestamps can be stored in the MC banks or in a utility box (U-box). The MCE handler can then address the errors based on order of occurrence, for example by determining that the first error in time causes the remaining error. The MCE can isolate hardware/software associated with the first error to recover from a failure. The MCE can report only the first error to the operating system (OS) or other error management software/hardware. The U-Box may also convert the timestamps into real time to support user debugging.

Abstract: Analytic data about digital chat conversations taking place within a digital workflow environment is tracked and stored. The analytic data tracks conversation progression states between individual node elements of at least one digital chat conversation flow design. A specification of an interested event for the analytic data is received. Data associated with the interested event is extracted and provided for analysis.

Abstract: A key-value pair comprising a key and a value associated with the key is stored in a current segment of a data container. The key comprises a segment identifier identifying the current segment. The data container comprises a plurality of segments residing on a non-volatile memory device. Responsive to determining that a size of the current segment exceeds a threshold, a new segment is added to the container. The plurality of key-value pairs having respective current segment identifiers referencing one or more least recently created segments of the data container is deleted.

Abstract: A luminaire includes a first portion, a second portion, and a third portion. The first portion extends along a first axis and supports a first light emitter. The second portion is laterally spaced from the first portion and extends along a second axis that is oriented parallel to the first axis. The second portion supports a second light emitter. The third portion is disposed laterally between the first portion and the second portion and extends along a third axis that is oriented parallel to the first axis. The third portion supports at least one current driver for driving at least one of the first light emitter and the second light emitter.

Abstract: Disclosed is method and system for generating recommendations to a user. System receives real time data associated with users for scenarios and batch data associated with multiple users from different data sources, received from different data channels. The user is online user. System pre-processes batch data and real time data to generate pre-processed data and stores preprocessed data in distributed, scalable big data store. System filters pre-processed data based on rules to obtain filtered data. System applies combination of machine learning techniques on filtered data, based on the scenarios associated with the user, leveraging inter-play between machine learning techniques, to generate personalized recommendations for individual user and storing the personalized recommendations in distributed database. Machine learning techniques are customized to work in distributed processing mode to reduce overall processing time.

Abstract: A graph-based data flow control system includes a control plane system coupled to SCP subsystems. The control plane system identifies a workload, and identifies service(s) on the SCP subsystems for manipulting/exchanging data to perform the workload. The control plane system generates a respective SCP-local data flow control graph for each SCP subsystem that defines how their service(s) will manipulate/exchange data within that SCP subsystem, and generates inter-SCP data flow control graph(s) that define how service(s) provided by at least one SCP subsystem will manipulate/exchange data with service(s) provided by at least one other SCP subsystem. The control plane system then transmits each respective SCP-local data flow control graph to each of the SCP subsystems, and the inter-SCP data flow control graph(s) to at least one SCP subsystem, for use by the SCP subsystems in causing their service(s) to manipulate/exchange data to perform the workload.

Abstract: The present disclosure is directed to systems and methods for auto-provisioning hubs and spokes in a SD-WAN network, and includes the performance of operations and/or the steps of receiving first information from a first network hub, the first network hub one of a plurality of network hubs, the first information indicating a first set of properties associated with the first network hub; publishing the first information to a plurality of network spokes, the plurality of network spokes determining whether to subscribe to the first network hub based on the first information; receiving subscription information from a first network spoke of the plurality of network spokes, the subscription information indicating the first network spoke subscribing to the first network hub; and creating at least one dynamic control policy to establish a forwarding path for the first network spoke through the first network hub.

Abstract: Systems, methods, and computer-readable storage media for object detection and classification, and particularly produce detection and classification. A system configured according to this disclosure can receiving, at a processor, an image of an item. The system can then perform, across multiple pre-trained neural networks, feature detection on the image, resulting in feature maps of the image. These feature maps can be concatenated and combined, then input into an additional neural network for feature detection on the combined feature map, resulting in tiered neural network features. The system then classifies, via the processor, the item based on the tiered neural network features.

Abstract: Embodiments are generally directed to enhanced power management for support of priority system events. An embodiment of a system includes a processing element; a memory including a registry for information regarding one or more system events that are designated as priority events; a mechanism to track operation of events that requires Turbo mode operation for execution; and a power control unit to implement a power management algorithm. The system is to maintain an first energy budget and a second residual energy budget for operation in a Turbo power mode, and wherein the power management algorithm is to determine whether to authorize execution of a detected system event in the Turbo power mode based on the second residual energy budget upon determining that the first energy budget is not sufficient for execution of the detected system event and that the detected system event is designated as a priority event.

Abstract: Automated reconfiguration of real time data stream processing may be implemented. A processing function that describes one or more operations to be performed with respect to one or more data streams may be executed at one or more processing nodes. Performance metrics describing the performance of the processing function at the processing nodes may be collected and monitored. A reconfiguration event may be detected for the processing function. A different execution configuration for the processing function may be determined and initiated in response to detecting the reconfiguration event.

Abstract: Methods, apparatus, and processor-readable storage media for implementing extensible upgrade and modification as a service are provided herein. An example computer-implemented method includes processing one or more modifiers, wherein each modifier includes an independent processing unit having a given canonical structure and is configured to execute one or more automated actions related to at least one of application modification and application migration; obtaining data pertaining to multiple applications across multiple computing environments; determining, based at least in part on processing at least a portion of the obtained data, at least one of the one or more modifiers applicable for use in executing at least one of the one or more automated actions in connection with at least a portion of the multiple applications; and executing the at least one of the one or more automated actions using the at least one determined modifier.