Abstract: Embodiments of the present disclosure provide a data gathering and query method for collecting ongoing updates to large, unstructured or semi-structured databases. The method comprises gathering a plurality of events defined in a database syntax that is not structured and aggregating the plurality of events into one or more part files. Each of the one or more part files store a subset of the plurality of events in a columnar format, and each of the one or more part files comprises a header file that includes metadata corresponding to a subset of the plurality of events stored in the part file and is separate from the subset of events stored in the part file. The method further comprises uploading the one or more part files to a cloud storage repository configured to store the one or more part files so that they can be queried by a query server based on the header files.

Abstract: The present disclosure discloses a garment for being used as a nursing bra and a suitable breast pad that is adapted to be fitted into pad pockets of the nursing bra. The nursing bra is basically made of a seamless knitted fabric and with an attachment of additional second fabric layer to the seamless knitted fabric pad pockets are being formed between the seamless knitted fabric and the second fabric. These pad pockets are accessible from respective openings that are formed in the second fabric at a position suitable for receiving a nipple of a wearer such. Furthermore, the openings are designed so as to allow relatively easy insertion and removal of the breast pad into and from the pad pockets. Thus, when the breast pads are accommodated within the pad pockets, a nipple wearer engages the breast pads such that any leakage of breastmilk is absorbed by the breast pad and the rest of the bra maintains dry.

Abstract: Supporting a scalable and Highly Available (HA) service platform. The service platform may be a virtual Cable Modem Termination System (vCMTS), a Passive Optical Network (PON), or a Broadband Network Gateway (BNG). A software component receives, from the service platform, an update about a particular unit of equipment, such as a cable modem (CM), Optical Network Unit (ONU)/Optical Network Terminal (ONT), or customer premises equipment (CPE). In response to receiving the update, the software component provides, to at least one edge router, route data for the particular unit of equipment. The route data informs the edge router of a next hop network address for a network address of the unit of equipment. The edge router is not and need not be provided with either (a) any Address Resolution Protocol (ARP) data for the particular unit of equipment and (b) any Neighbor Discovery (ND) data for the particular unit of equipment.

Abstract: Embodiments of the present disclosure relate to generating a high level security policy for a data repository without knowledge of the access control, entitlement, and other models of the data repository. A set of abstractions that define a security policy language may be generated based on data in a data repository collection. The set of abstractions may define a security policy language, which may be provided to a security administrator who can define a security policy with the security policy language. The security policy may be translated into a common physical language to generate a common physical policy. The processing device may then translate the common physical policy into a set of commands for each of one or more data repositories that the data repository collection is comprised of.

Abstract: The present invention relates to a software method for componentized enterprise applications for backend development based on Spring Boot and Java EE application server using plugins. The object of the present invention is to build back end servers and desktop applications from reusable plugins. Another object of the present invention is the benefits of a single process implementation and truly decupled parent child dependency. Moreover, the present invention is to build entire applications (deployment in application server or Spring Application) from separate and easy to maintain run time components. Finally, the percent invention is that the invention can be used by almost any development team using Java EE and Spring for back end enterprise development. Moreover, the present invention is to allow plugins to provide their services either in the same process or on a remoter server in a transparent way to their services consumers.

Abstract: A log message classifier employs machine learning for identifying a corresponding parser for interpreting the incoming log message and for retraining a classification logic model processing the incoming log messages. Voluminous log messages generate a large amount of data, typically in a text form. Data fields are parseable from the message by a parser that knows a format of the message. The classification logic is trained by a set of messages having a known format for defining groups of messages recognizable by a corresponding parser. The classification logic is defined by a random forest that outputs a corresponding group and confidence value for each incoming message. Groups may be split to define new groups based on a recurring matching tail (latter portion) of the incoming messages. A trend of decreased confidence scores triggers a periodic retraining of the random forest, and may also generate an alert to operators.

Abstract: In one embodiment, a system includes a catheter, at least one position sensor to provide position signal(s) indicative of a position of a distal end of the catheter over time, a first smoothing filter to provide first filtered position signal(s) responsively to the position signal(s) and a first filtering level, a second smoothing filter to provide second filtered position signal(s) responsively to the position signal(s) and a second filtering level, wherein the second filtering level provides more smoothing than the first filtering level, and processing circuitry to find first and second position coordinates of the distal end responsively to the first and second filtered position signal(s), respectively, generate, and render to a display, an anatomical map of a body part responsively to the second position coordinates, and render a representation of the distal end to the display while showing movement of the distal end responsively to the first position coordinates.

Abstract: Supporting a scalable and Highly Available (HA) service platform. The service platform may be a virtual Cable Modem Termination System (vCMTS), a Passive Optical Network (PON), or a Broadband Network Gateway (BNG). A software component receives, from the service platform, an update about a particular unit of equipment, such as a cable modem (CM), Optical Network Unit (ONU)/Optical Network Terminal (ONT), or customer premises equipment (CPE). In response to receiving the update, the software component provides, to at least one edge router, route data for the particular unit of equipment. The route data informs the edge router of a next hop network address for a network address of the unit of equipment. The edge router is not and need not be provided with either (a) any Address Resolution Protocol (ARP) data for the particular unit of equipment and (b) any Neighbor Discovery (ND) data for the particular unit of equipment.

Abstract: Embodiments of the present disclosure relate to utilizing an existing login process of a data repository to enable the data repository to delegate MFA functionality to an external MFA system. When a purported user attempts to log in to the data repository, a delegation module within the login process may insert a record into a table associated with the login process. A program executing on a security device external to the data repository may periodically poll the table for new records and upon detecting the new record, may call the external MFA system to verify the login attempt. The external MFA system may indicate to the program whether the login attempt was verified and the program may update the table with the indication. Upon detecting the indication, the delegation module may complete or terminate the login attempt based on the indication.

Abstract: Embodiments of the present disclosure relate to generating a high level security policy for a data repository without knowledge of the access control, entitlement, and other models of the data repository. A set of abstractions that define a security policy language may be generated based on data in a data repository collection. The set of abstractions may define a security policy language, which may be provided to a security administrator who can define a security policy with the security policy language. The security policy may be translated into a common physical language to generate a common physical policy. The processing device may then translate the common physical policy into a set of commands for each of one or more data repositories that the data repository collection is comprised of.

Abstract: Classification for data intake operations in an enterprise ensures that sensitive data is not disseminated inappropriately, but incurs substantial time, effort and expense. A method of classifying data in a large set of data repositories captures a set of raw rules resulting from inputs indicative of evaluations and conclusions of data classification operations, typically by logging data classification operations, and identifies patterns in the set of raw rules by consolidating duplicative conditions and eliminating inconsequential conditions. External conditions and observations may be referenced for applying a context to the rules based on a usage or domain of the data, and data sets of disparate entities may be examined for anonymizing the data and combining with other sets of anonymized data.

Abstract: Supporting a scalable and Highly Available (HA) virtual Cable Modem Termination System (vCMTS). A software component receives, from the vCMTS, an update about a particular cable modem (CM) or customer premises equipment (CPE). The update may be sent in response to the particular CM or CPE becoming online or offline. In response to receiving the update, the software component provides, to at least one edge router, route data for the particular CM or CPE. The route data informs the edge router of a next hop network address for a network address of the particular CM or CPE. The edge router is not and need not be provided with either (a) any Address Resolution Protocol (ARP) data for the particular CM or CPE and (b) any Neighbor Discovery (ND) data for the particular CM or CPE.

Abstract: Embodiments of the present disclosure provide a data gathering and query method for collecting ongoing updates to large, unstructured or semi-structured databases. The method comprises gathering a plurality of events defined in a database syntax that is not structured and aggregating the plurality of events into one or more part files. Each of the one or more part files store a subset of the plurality of events in a columnar format, and each of the one or more part files comprises a header file that includes metadata corresponding to a subset of the plurality of events stored in the part file and is separate from the subset of events stored in the part file. The method further comprises uploading the one or more part files to a cloud storage repository configured to store the one or more part files so that they can be queried by a query server based on the header files.

Abstract: A data store classification approach identifies metadata and contextual aspects of data that extend beyond the mere content or label of the data to examine organizational, locational, and proximity features that tend to suggest whether a data item may or may not be sensitive. These aspects place the data in a context around which inferences of sensitivity may be derived by a machine learning representation or similar configuration. Features and corresponding attributes of the data items are derived and associated with the data by a model. The model defines an enriched data representation of the data in conjunction with the attributes that indicate a sensitive data item. The attributes and data items can be evaluated as to whether or not a data item is a sensitive or private data item so that relevant decisions about privacy and security may be made.

Abstract: Classification for data intake operations in an enterprise ensures that sensitive data is not disseminated inappropriately, but incurs substantial time, effort and expense. A method of classifying data in a large set of data repositories captures a set of raw rules resulting from inputs indicative of evaluations and conclusions of data classification operations, typically by logging data classification operations, and identifies patterns in the set of raw rules by consolidating duplicative conditions and eliminating inconsequential conditions. External conditions and observations may be referenced for applying a context to the rules based on a usage or domain of the data, and data sets of disparate entities may be examined for anonymizing the data and combining with other sets of anonymized data.

Abstract: A data gathering and query method for collecting ongoing updates to large, unstructured databases performing data collection from multiple sites. A large repository of unstructured or semi-structured data according to a JSON syntax receives periodic updates from an enterprise site for gathered event data. A bigdata cloud store receives the additions as columnar parts that arrange the data in a columnar form for storing similarly named fields consecutively. The enterprise site generating the event data arranges the block files containing the columnar data, and header files containing metadata. Incremental time and/or size triggers the periodic part upload, and a query server in network communication with the cloud store integrates the incoming additions by receiving the header files and updating a catalog of collections in the cloud store, without downloading the larger block files containing the actual columnar data. Query requests operate on the cloud store without moving the block files.

Abstract: A data gathering and query method for collecting ongoing updates to large, unstructured databases performing data collection from multiple sites. A large repository of unstructured or semi-structured data according to a JSON syntax receives periodic updates from an enterprise site for gathered event data. A bigdata cloud store receives the additions as columnar parts that arrange the data in a columnar form for storing similarly named fields consecutively. The enterprise site generating the event data arranges the block files containing the columnar data, and header files containing metadata. Incremental time and/or size triggers the periodic part upload, and a query server in network communication with the cloud store integrates the incoming additions by receiving the header files and updating a catalog of collections in the cloud store, without downloading the larger block files containing the actual columnar data. Query requests operate on the cloud store without moving the block files.

Abstract: The present invention relates to a software method for componentized enterprise applications for backend development based on Spring Boot and Java EE application server using plugins. The object of the present invention is to build back end servers and desktop applications from reusable plugins. Another object of the present invention is the benefits of a single process implementation and truly decupled parent child dependency. Moreover, the present invention is to build entire applications (deployment in application server or Spring Application) from separate and easy to maintain run time components. Finally, the present invention is that the invention can be used by almost any development team using Java EE and Spring for back end enterprise development. Moreover, the present invention is to allow plugins to provide their services either in the same process or on a remoter server in a transparent way to their services consumers.

Abstract: A query server identifies data collections of interest in a cloud store, and categorizes the collections based on an intended usage. Depending on the intended usage, the categorized data may be cataloged, indexed, or undergo a full intake into a column store. In a database of large data collections, some collections may experience sparse or indefinite usage. Cataloging or indexing position the collections for subsequent query access, but defers the computational burden. The full intake performs a columnar shredding of the collection for facilitating eminent and regular query access. Upon invocation of query activity, an instantiation of virtual machines provided by the cloud store vendor implements query logic, such that the VMs launch in conjunction with the cloud store having the collections. Collections therefore incur processing based on their expected usage—full intake for high query traffic collections, and reduced cataloging for maintaining accessibility of collections of indefinite query interest.

Abstract: Data storage for unstructured data such as JSON data stored as collections of documents transforms the JSON data into a columnar form of storing unstructured data by grouping similar fields together for facilitating retrieval of the individual fields from a range of documents. Groups of fields are stored in individual files for each field. Compound data such as arrays and subdocuments are also broken down into files for each atomic field. In other words, a compound document structure that defines a hierarchy or “tree” of fields is flattened such that each “leaf” of the tree is stored in a separate file.