Abstract: A communications system may include a user equipment (UE) device that communicates with a cellular network having base stations. A UE may enter a connected mode in which the UE and a first base station in a first cell convey wireless data. While in connected mode, the first base station may transmit measurement objects to the UE, each being associated with a different cell neighboring the first cell. The UE may store the measurement objects. When the UE enters an idle mode, the UE may perform measurements on the neighboring cells using the measurement objects. The UE may then use the measurements to determine whether to re-select to a neighbor cell when the UE is unable to acquire a measurement configuration from the base station in idle mode. This may help to mitigate the occurrence of idle mode out-of-service (OOS) conditions for the UE device.

Abstract: Provided are methods, systems, and apparatuses for improving supply chain management interfaces and functionality. A frequency of occurrence for each unique combination of a use attribute and a product attribute for various supplies may be determined. A frequency table containing each unique combination may be generated as well as one or more association rules. A level of confidence and a level of lift may be determined for each of the one or more association rules, both of which may be used to generate a score for each unique combination that may be used to rank each unique combination. The ranked unique combinations may then be provided to a supply chain management interface and a database.

Abstract: Described herein are methods, systems, and apparatuses for storage analysis and management using computer vision techniques. An imaging device may capture a series of images of a plurality of containers. The series of images may be analyzed by a classification model to determine a current capacity of each container. When the classification model determines that a current capacity of a container(s) satisfies a threshold(s), at least one remedial action may be performed.

Abstract: Machine learning techniques are disclosed for rebuilding transactions to predict cash position. In one aspect a method includes obtaining data for an original transaction, classifying the original transaction into a class of multiple classes based on the data, predicting first tranche delay days for the original transaction based on the class and the data, predicting a tranche count for the original transaction based on the class and the data, predicting a tranche interval for the original transaction based on the class and the data; and rebuilding the original transaction as one or more future transactions based on the class, the first tranche delay days, the tranche count, and tranche interval. Each of the one or more future transactions comprise an updated amount of the original transaction, an updated date upon which the original transaction is anticipated, or both.

Abstract: An automatic flagging of sensitive portions of a digital dataset for media production includes receiving the digital dataset comprising at least one of audio data, video data, or audio-video data for producing at least one media program. A processor identifies sensitive portions of the digital dataset likely to be in one or more defined content classifications, based at least in part on comparing unclassified portions of the digital dataset with classified portions of the prior media production using an algorithm, and generates a plurality of sensitivity tags each signifying a sensitivity assessment for a corresponding one of the sensitive portions. The processor may save the plurality of sensitivity tags each correlated to its corresponding one of the sensitive portions in a computer memory for use by a media production or localization team.

Abstract: Described herein are methods, systems, and apparatuses for storage analysis and management using computer vision techniques. An imaging device may capture a series of images of a plurality of containers. The series of images may be analyzed by a classification model to determine a current capacity of each container. When the classification model determines that a current capacity of a container(s) satisfies a threshold(s), at least one remedial action may be performed.

Abstract: In one aspect, an example methodology implementing the disclosed techniques includes, by a computing device, receiving a request to write a first data object to an object database. The method also includes, responsive to a determination that the first data object is a large data object, by the computing device, serializing the first data object, compressing the serialized first data object into a format that can be stored in the object database, and saving the compressed serialized first data object within the object database. The method may further include, by the computing device, extracting one or more fields which are queryable from the first data object and saving the one or more queryable fields with the compressed serialized first data object within the object database.

Abstract: An automatic flagging of sensitive portions of a digital dataset for media production includes receiving the digital dataset comprising at least one of audio data, video data, or audio-video data for producing at least one media program. A processor identifies sensitive portions of the digital dataset likely to be in one or more defined content classifications, based at least in part on comparing unclassified portions of the digital dataset with classified portions of the prior media production using an algorithm, and generates a plurality of sensitivity tags each signifying a sensitivity assessment for a corresponding one of the sensitive portions. The processor may save the plurality of sensitivity tags each correlated to its corresponding one of the sensitive portions in a computer memory for use by a media production or localization team.

Abstract: Provided are methods, systems, and apparatuses for improving supply chain management interfaces and functionality. The supply chain management interfaces may provide visualizations of one or more standardization constructs associated with an organization and locations thereof. A standardization construct may be generated using supply chain records associated with the organization and locations thereof. The visualizations of the one or more standardization constructs may be adjusted at a user interface. The adjusted one or more standardization constructs may be indicative of ways in which the one or more standardization constructs may be improved.

Abstract: A solution for managing a video conference is provided. Multiple segmentation areas or shapes are stored and made transparent. The background is recorded continuously and simultaneously in a memory presented to a user for a second participant when they are participating in a video conference with a first participant. The segmentation or transparency of objects obstructing information in view of the video conference is selected based on attributes of the first or second participant, or attributes of the video conference. The segmentation may be utilized to provide a desired view, message, or information to individuals participating in, watching, or interacting with a first participant via video conferencing. The background includes static images, a live video feed, a recorded video feed, a static webpage, a non-static webpage, on any surface without obstruction when a first participant is in front of the surface sharing information due to segmentation/transparency of the first participant.

Abstract: The present disclosure provides a payment card comprising two discrete or more payment accounts associated with primary account numbers (PANs). Each PAN comprises a magnetic strip, EMV chip, CCV, and contactless payment circuit. The contactless payment circuits wirelessly transmit PAN information to a point-of-sale (POS) terminal enabling an end-user engage in a payment transaction with a merchant. The payment card further comprises two switches, a first switch on a first side of the payment card associated with a first contactless payment circuit and a second switch on a second side of the payment card associated with a second contactless payment circuit. The first switch and second switch are configured to detect a user input by an end-user and dynamically activate the first contactless payment circuit associated with the first PAN or the second contactless payment circuit associated with the second PAN.

Abstract: A method for use in a computing system, comprising: outputting, by the computing system, a product configuration menu that specifies a first set of product components; outputting, by the computing system, information associated with a first product, the first product including the first set of product components; detecting, by the computing system, a user input that specifies a second set of product components, the user input being received via the product configuration menu; selecting, by the computing system, a second product that includes the second set of product components, the second product being selected by performing a search of a product distance data structure to identify a plurality of candidate products that include the second set of product components, obtaining a respective product distance score for the first product and each of the plurality of candidate products, and selecting one of the candidate products as the second product.

Abstract: Provided are methods, systems, and apparatuses for improving supply chain management interfaces and functionality. The supply chain management interfaces may provide visualizations of one or more standardization constructs associated with an organization and locations thereof. A standardization construct may be generated using supply chain records associated with the organization and locations thereof. The visualizations of the one or more standardization constructs may be adjusted at a user interface. The adjusted one or more standardization constructs may be indicative of ways in which the one or more standardization constructs may be improved.

Abstract: An energy conversion device includes a cathode, an anode including an aluminium-magnesium alloy, and an alkaline electrolyte disposed between the cathode and the anode. The alkaline electrolyte includes an electrolyte additive that includes zinc oxide, L-cysteine, or a combination thereof.

Abstract: The present application relates to devices and components including apparatus, systems, and methods for autonomous serving cell measurement and evaluation.

Abstract: The embodiments herein provide a low-cost, highly scalable, and automated system for the expansion of intercalated graphite compounds for the production of expanded graphite. The embodiments herein also provide an automated system (100) and method (200) for the synthesis and production of expanded graphite using a gas-based heating system. The system (100) comprises a housing (101) defining a production chamber (101a) having an open side (101b). A retractable tray (104) is movable into the production chamber through the open side, and the retractable tray comprises a holder (105) to hold a removable vessel (106) that contains a graphite intercalation compound. The housing (101) is provided with an opening (102) in a wall to removably receive a gas-based flame generation device (108) into the production chamber, and an exhaust outlet (103) to remove exhaust gases from the production chamber (101a).

Abstract: The embodiments herein provide a facile four-step process for the preparation of binder-free graphene felts that are free standing and mechanically robust. The step of deagglomeration of graphene material leads to a uniform size distribution which when combined/integrated with an appropriate moulding technique allows an easy fine tuning of various attributes of graphene felts including electrical conductivity, porosity, surface area, surface morphology and surface functionalization depending on the desired application. Since graphene felts obtained from this process do not incorporate any binder, to achieve better electrical conductivity, electrochemical activity and catalytic and sensing properties compared to conventional graphene felts while not compromising with their mechanical properties.

Abstract: Database synchronization by initiating a transaction to synchronize data from a source database to a target database. The source database issues a trigger that provides a sequence identification (ID) and calculates a thread number that is employed for syncing the rows from the source database to the target database based on a primary key hash. The sequence identification (ID) and the thread number from the source database is inserted into a synchronization (SYNC) table. Data synchronization may also include picking the rows that are allotted their thread number from the SYNC table using polling threads. The rows from the SYNC table may be replicated into target database using a sequence provided by the sequence identification and thread number.

Abstract: Machine learning techniques are disclosed for rebuilding transactions to predict cash position. In one aspect a method includes obtaining data for an original transaction, classifying the original transaction into a class of multiple classes based on the data, predicting first tranche delay days for the original transaction based on the class and the data, predicting a tranche count for the original transaction based on the class and the data, predicting a tranche interval for the original transaction based on the class and the data; and rebuilding the original transaction as one or more future transactions based on the class, the first tranche delay days, the tranche count, and tranche interval. Each of the one or more future transactions comprise an updated amount of the original transaction, an updated date upon which the original transaction is anticipated, or both.

Abstract: Provided are methods, systems, and apparatuses for improving supply chain management interfaces and functionality. A frequency of occurrence for each unique combination of a use attribute and a product attribute for various supplies may be determined. A frequency table containing each unique combination may be generated as well as one or more association rules. A level of confidence and a level of lift may be determined for each of the one or more association rules, both of which may be used to generate a score for each unique combination that may be used to rank each unique combination. The ranked unique combinations may then be provided to a supply chain management interface and a database.