Abstract: Systems, methods, and computer-readable and executable instructions are provided for providing a device agnostic active/active data center. Providing a device agnostic active/active data center can include receiving user communication assigned from a content delivery network (CDN) provider. In addition, providing a device agnostic active/active data center can include determining a designated database for the user communication. Furthermore, providing a device agnostic active/active data center can include assigning a destination address to the designated database for the user communication.

Abstract: Methods and systems for routing multimedia traffic are described. A method may include receiving a communication originating from a user, transposing an alias transport network over one or more existing networks to route the communication, and routing the communication based on mapping rules.

Abstract: A payment card security system includes a payment card provider account system communicatively coupled to a payment card transaction device and a mobile device. The payment card transaction device sends an indication that a payment card is being used to perform a transaction. The payment card provider account system includes processors that receive the indication that the payment card is being used to perform the transaction from the payment card transaction device. The processors also send a notification indicating that the payment card is being used to perform the transaction. The processors further enable authorization of the transaction via the mobile device. In this manner, the payment card security system may prevent or reduce the occurrence of suspicious transactions as they are occurring, rather than waiting until after they have occurred.

Abstract: Machine Learning models to be created for crop mapping for any region, require huge volumes of ground truth data requiring manual effort in generating region specific training dataset. Method and system for providing generalized approach for crop mapping across regions with varying characteristics is disclosed. The method provides automatic generation of a labelled pixel dataset representing cropping pattern of a Region of Interest (ROI) for building a ML crop mapping model for the ROI. The generated labelled pixel dataset captures regional dependency and localized phenological indicators for the ROI. ML crop mapping model is updated using a database, regularly updated for the set of crops and the plurality of features associated with each of the set of crops and corresponding the set of crops.

Abstract: A method of manufacturing a rotor blade component for a rotor blade of a wind energy installation, a rotor blade component, and a wind energy installation comprising such a rotor blade component. The method includes manufacturing a layer system including a first layer of a first material and a second layer of a second material. The second material has a smaller modulus of elasticity than the first material, and the second layer extends at least partially along the first layer. The layer system is beveled at least at one end with the aid of at least one separation process such that the second layer projects beyond the first layer at the at least one end of the layer system. The layer system is connected to at least one other such layer system so as to form the rotor blade component.

Abstract: A code generator platform may receive source metadata and a target data model. The code generator platform may determine a parameter, of the target data model, that is associated with the attribute. The code generator platform may map, based on the attribute and the source metadata, the data to the parameter of the target data model. The code generator platform may generate, based on mapping the data to the parameter, data transformation code associated with the data and the target data model, wherein the data transformation code, when executed, generates target data that corresponds to the data according to the target data model. The code generator platform may perform an action associated with the data transformation code to permit the data transformation code to be executed in order to update a target database with the target data.

Abstract: Techniques are described to automate deployment of an application as a cloud computing service. Such deployment may be accomplished on any underlying host infrastructure. As mentioned above, a typical application may engage in a number of build and deployment processes in order to run on a host computer with an infrastructure type. The techniques described herein may leverage an artificial intelligence computation library to identify which build and deployment processes are required by the application. Once identified, the user may select a host infrastructure type and create a container package with a runtime machine and components configure to run these build and deployment processes for that host infrastructure type. The container package may be used to generate an image from which the host computer can run the application as the cloud computing service. Other embodiments are described and claimed.

Abstract: Systems and methods for lossless compression of tabular numeric data are provided. The system can include one or more data compression servers executing data compression system code to compress the tabular numeric data, a storage database to store the compressed tabular numeric data, and one or more data decompression servers to decompress the tabular numeric data for use. The one or more data compression servers, the storage database, and the one or more data decompression servers can communicate via a communication network. The system can receive the uncompressed tabular numeric data from one or more data generation systems, processes the uncompressed tabular numeric data with the data compression system code, and generate a compressed table of numeric information, which can be stored in the database, or later decompressed by the one or more data decompression servers.

Abstract: An ice removal apparatus for an aircraft is provided comprising a laminate structure encapsulating an electrically operable heater. The laminate structure comprises a plurality of layers and at least two layers are configured to be selectively movable relative to each other to increase the separation of the two layers, thereby removing ice.

Abstract: The present disclosure herein provides methods and systems that solves the technical problems of generating an efficient, accurate and light-weight 3-Dimensional (3-D) pose estimation framework for estimating the 3-D pose of an object present in an image used for the 3-dimensional (3D) model registration using deep learning, by training a composite network model with both shape features and image features of the object. The composite network model includes a graph neural network (GNN) for capturing the shape features of the object and a convolution neural network (CNN) for capturing the image features of the object. The graph neural network (GNN) utilizes the local neighbourhood information through the image features of the object and at the same time maintaining global shape property through the shape features of the object, to estimate the 3-D pose of the object.

Abstract: In some implementations, a system may receive a request to initiate a collaborative session between a user device and a dealership device of a dealership. The system may transmit, to the user device and based on receiving the request, a user set of user interface (UI) data indicating a first UI to be presented on a display of the user device. The system may transmit, to the dealership device and based on receiving, a dealership set of UI data indicating a second UI to be presented on a display of the dealership device. The first UI may include a collaborative workspace shared by the user device and the dealership device, and the collaborative workspace may include a connection by the user device with a website associated with the dealership. The second UI may include the collaborative workspace and a dealership workspace dedicated to the dealership device.

Abstract: This application relates to a system for compressing captured images. The system may include an image capturing device configured to continuously capture images, for example, of a location, or frame, or field of view, and convert the captured images respectively into a plurality of sets of digital data, each of the plurality of sets of digital data including at least two consecutive rows of digital data. The system may also include a processor circuit configured to combine the at least two sets of the plurality of sets of digital data to generate a pre-compression set of digital data and simultaneously compress the pre-compression set of digital data simultaneously or together in a single compression operation.

Abstract: Methods and systems described in this disclosure describe an integration of video sessions across platforms, transforming the user experience. In some embodiments, a user can participate in an interaction via a channel. Next, the system can determine whether the interaction is eligible for a video session with a representative. When the interaction is eligible for the video session, an option for the video session can be displayed on a user interface of the device. After receiving a request for the video session, the video session can be routed to a uniquely skilled representative, where the uniquely skilled representative is determined based, at least in part, on the interaction.

Abstract: Systems and methods for performing fraud detection at POA devices based on analysis of feature sets are disclosed. In one embodiment, an exemplary method may comprise: obtaining, by a POS device, upon initiation of a transaction involving a card or a card and mobile device associated with an individual initiating the transaction, one or more sensory inputs and an identifier; mapping, by the POS device, the one or more sensory inputs to a first cluster position of a plurality of clusters; determining whether the cluster position of the cluster mapped for the transaction corresponds to a second cluster position of the at least one expected cluster associated with the known owner of the card and/or mobile device; and initiating, by the POS device, at least one second factor authentication process to establish that the individual is the known owner of the card and/or mobile device being used in the transaction.

Abstract: A frac plug defines a central passage therethrough and is movable from an unset to a set position in a well casing. A single slip ring assembly is supported by the bottom shoe and a slip wedge is positioned in slidable relationship to the single slip ring assembly. A sealing element is supported by the slip wedge. A deformable ball seat is movable axially relative to the sealing element and the sealing element is expandable radially outwardly to engage and seal against the well casing upon the application of a force applied thereto by the deformable ball seat.

Abstract: Methods and systems disclosed herein describe obfuscating plaintext cryptographic material stored in memory. A random location in an obfuscation buffer may be selected for each byte of the plaintext cryptographic material. The location of each byte of the plaintext cryptographic material may be stored in a position tracking buffer. To recover the scrambled plaintext cryptographic material, the location of each byte of the plaintext cryptographic material may be read from the position tracking buffer. Each byte of the plaintext cryptographic material may then be read from the obfuscation buffer and written to a temporary buffer. When each byte of the plaintext cryptographic material is recovered, the plaintext cryptographic material may be used to perform one or more cryptographic operations. The scrambling techniques described herein reduce the likelihood of a malicious user recovering plaintext cryptographic material while stored in memory.

Abstract: A deformable aerospace structure includes a first layer and a second layer spaced from the first layer and defining a space therebetween. The space includes one or more reinforcement elements extending between the first layer and the second layer. The ends or portions of the reinforcement element(s) proximate to the first layer are connected thereto and ends or portions of the reinforcement element(s) proximate to the second layer are moveable with respect to ends or portions of adjacent reinforcement element(s) proximate to the second layer.

Abstract: Techniques for processing a web with a laser are provided. In an example, an apparatus for processing web material can include multiple processing stages and a laser assembly. Each of the multiple processing stages can be configured to process a moving web of material along a web path. The laser assembly can be configured to process the moving web of material with a laser at a first stage of the multiple stages. The laser assembly can include a laser configured to generate a laser beam, a gimble assembly configured to direct the laser beam along a cut path at a position of a web path of the moving web of material, and a servo driven mirror assembly configured to provide an adjustable field of view for the laser stage at the position of the web path.

Abstract: One or more traffic-data sets including traffic probes, which include one or more identifiable items of information obtained from one or more traffic probe devices, are obtained. A traffic flow prediction to be validated is selected. The selected traffic flow prediction is associated with a road segment and a time period. A list of traffic probes to be used in validating the traffic flow prediction is generated. The list of traffic probes includes information obtained from traffic probe devices that travelled an entire length of the road segment during the time period. Travel times of the traffic probe devices that travelled an entire length of the road segment during the time period are ordered, and outliers are removed from the list of traffic probes. A validated traffic-flow prediction is generated based on traffic probes remaining in the list of traffic probes, and the validated traffic-flow prediction is transmitted to an end-user processing device.

Abstract: A vehicle lift comprising a column, a carriage slidingly movable along said column, a lift arm hinged to the carriage. The lift arm has a base body, a distal body rotatably mounted to the base body, and a lock with an insert movable between a release position, where the insert allows relative rotation between the base body and the distal body, and a gripping position, where the insert prevents relative rotation between said bodies. The insert is slidingly movable relative to the base body and/or the distal body along a trajectory parallel to at least one of a section of the extension path of the base body and a section of the extension path of the distal body.