Abstract: Techniques for capacity management in computing systems are disclosed herein. In one embodiment, a method includes analyzing data representing a number of enabled users or a number of provisioned users to determine whether the analyzed data represents an anomaly based on historical data. The method can also include upon determining that the data represents an anomaly, determining a conversion rate between a change in the number of enabled users or the number of provisioned users and a change in a number of active users of the computing service and deriving a future value of the number of active users of the computing service based on both the detected anomaly and the determined conversion rate. The method can further include allocating and provisioning an amount of the computing resource in the distributed computing system in accordance with the determined future value of the active users of the computing resource.

Abstract: An end of train device (EOT) suitable of use on a railway vehicle includes a mounting unit for installation on a car of a railway vehicle, a position sensor configured to detect vertical alignment and orientation during the installation, and a feedback mechanism configured to provide feedback during the installation with respect to the vertical alignment and orientation. Further, a monitoring and communications system and a method for monitoring mounting integrity of an EOT are described.

Abstract: A method of facilitating a transaction with a payment card of a cardholder. The method includes receiving a deceptive PIN comprising a set of characters in which one character is a deceptive character. The deceptive character is different than each of a set of actual characters of an actual PIN of the payment card. The method includes identifying the deceptive character and a position of the deceptive character among the set of characters of the deceptive PIN. The method includes determining a reconstructed PIN by replacing the deceptive character with a corresponding actual character at the position in the deceptive PIN. The actual character is determined based on a predefined mathematical expression and a predefined value for the predefined mathematical expression. The method includes authenticating the reconstructed PIN by matching the reconstructed PIN with the actual PIN. The method further includes facilitating the transaction upon successful authentication.

Abstract: Provided herein is a system on a vehicle, the system comprising an active Doppler sensor; one or more processors; and a memory storing instructions that, when executed by the one or more processors, causes the system to perform: obtaining a Doppler signature from each of one or more entities; and determining one or more calibration parameters of the active Doppler sensor based on the Doppler signature from at least a portion of the one or more entities.

Abstract: Disclosed is a system and method for training a neural network to be implemented for detecting at least one entity in a document to derive relevant inferences therefrom. The method comprising obtaining at least one document, processing, the at least one document via a detection module to detect a widget entity, wherein the detected widget entity is classified as active or inactive based on a detected state of the widget entity, modifying, the classified widget entity into a corresponding machine-readable widget-entity based on the detected state, processing, the at least one document via an extraction module to detect a text entity in near vicinity of the classified widget entity, generating a training pair comprising the machine-readable widget entity and the corresponding text entity and training the neural network using the generated training pair.

Abstract: Embodiments implement a secure connector framework at a cloud infrastructure. Embodiments receive one or more notebook profiles from an on-premises system corresponding to a first cloud customer, the on-premises system comprising at least one of one or more datasets, one or more models, or one or more libraries, the notebook profiles comprising permission sets that specify a level of access to the datasets, the models and the libraries, the notebook profiles corresponding to an on-premises machine learning (“ML”) notebook. Embodiments transform the received notebook profiles into a cloud policy set for sharing the datasets, the models and the libraries. Embodiments then transmit and receive corresponding data from the first cloud customer to a second cloud customer, the transmitted and received data based on the cloud policy set.

Abstract: An electronic device comprising a multideck structure including a base stack of materials and one or more stacks of materials on the base stack of materials, at least one high aspect ratio feature in an array region in the base stack of materials and in the one or more stacks of materials, and overlay marks including an optical contrast material in or on only an upper portion of the base stack of materials in an overlay mark region of the electronic device is disclosed. The overlay mark region is laterally adjacent to the array region and the overlay marks are adjacent to at least one additional high aspect ratio feature in the base stack of materials. Additional electronic devices and memory devices are disclosed.

Abstract: The interpretation of a graph data structure represented on a computing system in which the connection between a pair of nodes in the graph may be interpreted by which intermediary entity (node or edge) on a path (e.g., a shortest path) between the node pair is most dominant. That is, if the intermediary entity were not present, a detour path is determined. The greater the difference between the detour path and the original path, the more significant that intermediary entity is. The significance of multiple intermediary entities in the original path may be determined in this way.

Abstract: Some embodiments include apparatuses and methods of forming the apparatuses.

Abstract: A method for inspecting a non-woven material is provided. The method comprises introducing, by a sonotrode, ultrasonic energy to weld the non-woven material, supporting, by an anvil roll, the non-woven material between the anvil roll and the sonotrode, rotating the anvil roll to transfer the non-woven material in a downstream direction, taking, by an imaging unit disposed downstream of the anvil roll, an image of the non-woven material, and processing the image by an image processing unit. The image processing unit comprises identifying a defect based on the image, classifying the defect into one of a plurality of categories, analyzing a cause of the defect based on the respective category, determining a component causing the defect, and notifying the cause with a recommended remedial action associated with the component.

Abstract: In an attempt to establish a communication session between a first communication entity and a second communication entity, a first message is received. For example, the first message may be a SIP INVITE message. A determination is made, based on a registration message from the first communication entity and/or the second communication entity, that at least one of the first communication entity or the second communication entity is Internet Protocol (IP) version intolerant. In response to determining that the at least one of the first communication entity or the second communication entity is IP version intolerant, one or more IP addresses are adapted in messages (e.g., the SIP INVITE message) for establishing the communication session. The adaption changes/removes the one or more IP addresses to a different IP version to ensure proper IP compatibility.

Abstract: Systems, devices, media, and methods are presented for graphical icon identification within an image or video stream. The systems and methods receive an image including a graphical icon. The systems and methods identify a set of proposed regions of the image, at least one proposed region of the set of proposed regions containing the graphical icon and extract a set of semantic features for each proposed region of the set of proposed regions. Based on the set of semantic features of the set of proposed regions, the systems and methods identify a set of proposed icons corresponding to the graphical icon included in the image and determine a match between the graphical icon and at least one proposed icon of the set of proposed icons.

Abstract: A system receives a plurality of data sets relating to differently trained versions of a global machine learning model, from a plurality of vehicles, the data sets including at least a present local loss value experienced by a current version of the global model executing on a given vehicle for which a data set of the plurality of data sets was received. The system determines a loss reduction for each received data set, representing a loss reduction since a previous local loss value included in a previous received data set corresponding to the given vehicle. The system determines whether the loss reduction for each received data set of the plurality of data sets exceeds a predefined threshold cutoff value and trains the global model using federated learning and based on the data sets of the plurality of data sets for which the loss reduction exceeds the predefined cutoff value.

Abstract: Examples of the disclosure describe systems and methods for presenting an audio signal to a user of a wearable head device. In an example, a received first input audio signal is processed to generate a left output audio signal and a right output audio signal presented to ears of the user. Processing the first input audio signal comprises applying a delay process to the first input audio signal to generate a left audio signal and a right audio signal; adjusting gains of the left audio signal and the right audio signal; applying head-related transfer functions (HRTFs) to the left and right audio signals to generate the left and right output audio signals. Applying the delay process to the first input audio signal comprises applying an interaural time delay (ITD) to the first input audio signal, the ITD determined based on the source location.

Abstract: Methods and systems provided herein ensure that communication sessions such as phone calls over PSTNs can be reconstructed in the event that the session ends unintentionally. Methods and systems include detecting a call ended, analyzing data associated with the call, determining, based on the data, the call ended unintentionally, and reconstructing the call based on the determination the call ended unintentionally.

Abstract: The present invention relates to a method for preparing a multiplicity of containers of paints or pre-paints from separate vessels containing an aqueous solution of a rheology modifier, optionally an aqueous dispersion of an opacifying pigment, an aqueous dispersion of polymer particles, and an aqueous dispersion of organic polymeric microspheres. The process of the present invention provides a simple and cost-effective way of preparing a wide variety of a large quantity of contained and finished paints at point-of-sale.

Abstract: A device may process data associated with a first entity and a second entity, using one or more machine learning techniques, to identify a set of trends associated with a set of documents. The device may receive new documents associated with the first entity and the second entity. The device may generate, based on the set of trends, a first set of exceptions indicating that a new document is associated with a first type of error. The device may generate, using a similarity analysis technique, a second set of exceptions indicating that a new document is associated with a second type of error. The device may communicate with one or more systems to perform one or more actions associated with correction or prevention of processing errors relating to the new document based a claim relating to the first set of exceptions or the second set of exceptions.

Abstract: Disclosed herein is a software tool that may be used to create and navigate through visualizations of an organization’s data as embodied in a digital duplicate. These “smart interactions” may allow a user to visually and intuitively traverse the semantic network to dynamically provide on-demand visualization of the business data. Based on the traversal of the network, the network can be simplified and/or subnetworks can be created. As part of the visualization, “perspectives” can be created based on focal points (i.e., nodes) in the network. The focal points may be used as a starting point for the traversal, and functions (e.g., aggregates) can be dynamically applied to produce subnetworks to provide data for visualizations.

Abstract: A device comprising; a controller arranged to receive data for an article to print; a sub-device comprising a resin source arranged to provide material for printing the article; a radiation source arranged to direct radiation for the printing of said article; a plurality of stations, said stations including a printing tank in which the article is printed, at least one cleaning station for cleaning the printed article and a curing station arranged to at least partially complete the curing of the printed article; a build surface upon which the article is arranged to be printed; wherein controller is arranged to move the build surface and the plurality of stations relative to each other.

Abstract: Systems and methods for facilitating authentication for payment transactions using pattern-based time bound passwords. More specifically, techniques disclosed herein enable authentication of payment transactions performed by a user at a merchant terminal based on a pre-registered pattern provided by the user within a pre-defined time period limit. The pre-registered pattern drawn in the pre-defined time period is registered as a password for authenticating any payment transaction performed by the user using a payment card which is associated with an account of the user in an issuing bank. If the user provides the pre-registered pattern within the pre-defined time period limit, the payment transaction is authenticated. In another embodiment, such pattern-based time bound password is used as a second level authentication in which first level authentication is performed by a personal identification number.