Abstract: The disclosure provides a method for of analyzing logs generated by one or more applications developed based on different programming languages and frameworks. The method generally includes calling, by a wrapper script, the one or more applications for execution, capturing, by the wrapper script, output from the one or more applications as logs in a first log file, and analyzing, by the wrapper script, the logs to determine one or more actions to take.

Abstract: The present invention relates to large scale manufacture of nanoscale microsheets for use in applications such as wound healing or modification of a biological or medical surface.

Abstract: The online system detects a user interaction between a first user and the online system, and retrieves a set of attributes of the user interaction. Based on the retrieved set of attributes of the user interaction, the online system periodically determines, using a first trained model, a lead score indicative of a likelihood that the user interaction will result in a conversion. If the lead score is higher than a threshold value, the online system determines, using a second trained model, based on attributes of the user interaction between the first user and the online system, and user profile information for the first user, a set of communication parameters to communicate with the first user. The second trained model is trained to select the set of communication parameters to maximize the likelihood of conversion with a least number of communications with the first user associated with the user interaction.

Abstract: The disclosed embodiments provide for identification of a remedial action based on analysis of a system log file. In some example embodiments, messages from the system log file are used as input to generate vectors within a vector space. Portions of the log messages may generate vectors that cluster into a region in the vector space. The region of vector space is associated with one or more remedial actions. The disclosed embodiments are configured, in some example embodiments, to perform the one or more remedial actions when activity in the log file maps to the region of vector space associated with the one or more remedial actions. In some example embodiments, a remedial action can include submitting a problem report to a problem tracking database.

Abstract: A method for generating a graphical summary from at least one text by means of a computer comprising the following steps performed by the computer: a) loading the text as an electronic text file, b) identifying predefined words in the loaded text, c) assigning a prepared graphic to each one or a plurality of predefined words in the text, d) storing the assignment from step c) in an electronic list, e) generating an electronic image file from the graphics according to the assignments stored in the electronic list, the graphics being arranged in the electronic image file in the form of a collage, f) outputting the electronic image file as the graphical summary of the text to be generated.

Abstract: In an example embodiment, there is disclosed herein a backpack that is designed and organized for the storage and transport of painting tools. The backpack is designed to include storage for painting tools such as, for example, brushes, rollers, roller handles, putty knives, and/or an extension pole with other pockets allowing for the storage and transport of personal items. In particular embodiments, the backpack includes specific storage capabilities for wet tools so that they can be stored and transported to a different location for cleaning.

Abstract: A system for scenario context-aware voice assistant auto-activation is provided. The system includes a microphone configured for providing data related to a word or a phrase spoken by a user, an operational device, and a computerized scenario context-aware voice assistant controller. The controller includes programming to recognize the word or the phrase within the data and identify a scenario context of the word or the phrase. The controller further includes programming to utilize the scenario context to associate the word or the phrase with a scenario context feature trigger configured for indicating a desired command of the user and command the operational device based upon the scenario context feature trigger associated with the word or the phrase.

Abstract: A device may receive and process a change request, work items, and IT data, to generate processed data. The device may transform the processed data into vectorized data, and may select similarity analytics models, regression models, and a classification model. The device may process the vectorized data, with the similarity analytics models, to determine an estimated effort, a user story, and IT requirements, and may process the vectorized data, with the regression models, to determine a schedule overrun, a defect rate, and a sprint velocity. The device may process the vectorized data, with the classification model, to determine a story point, and may calculate a resource capacity. The device may generate an impact analysis based on the estimated effort, the user story, the IT requirements, the schedule overrun, the defect rate, the sprint velocity, the story point, or the resource capacity, and may perform actions based on the impact analysis.

Abstract: To find enriching contextual information for an abbreviated domain name, a data enrichment engine can comb through web content source code corresponding to the abbreviated domain name. From textual content in the web content source code, the data enrichment engine can identify words with initial characters that match characters of the abbreviated domain name to thereby establish a relationship there-between. This relationship can facilitate more accurate and efficient domain name classification. The data enrichment engine can query a WHOIS server to find out if candidate domains having initial characters that match the characters of the abbreviated domain name are registered to the same entity. If so, keywords can be extracted from the candidate domains and used to find more relevant domains for domain risk analysis and detection. Candidate domains determined by the data enrichment engine can be provided to a downstream computing facility such as a domain filter.

Abstract: A CPE receives, over a first connection with a wireless network, a network-assigned prefix for the CPE. The CPE creates a prefix based on a subset of bits from the network assigned prefix. The CPE transmits, over a second connection with a LAN router device, the prefix created by the CPE as a WAN prefix for the LAN router device and the network assigned prefix as a LAN prefix for the LAN router device.

Abstract: Described are a system, method, and computer program product for updating and processing payment device transaction tokens. The method includes receiving a first notification based on issuance of a first new payment device, generating a first new token associated with the first new payment device, and linking the first new token to a previous token. The method also includes receiving a second notification based on issuance of a second new payment device, generating a second new token associated with the second new payment device, and linking the second new token to the first new token in a chain. The method further includes determining to deactivate the first new payment device and modifying the chain to remove the first new token. The method further includes receiving a transaction request and processing the transaction request by communicating second new token to an issuer.

Abstract: A object data backup and restore method and system include receiving a request to restore a target object to a first point-in-time version; identifying a first snapshot of the cluster corresponding to the first point-in-time version; generating a second snapshot of the cluster upon receiving the request to restore the target object; determining data changes associated with the target object based on the first snapshot and second snapshot; scanning all objects associated with the cluster to determine one or more additional objects that are affected by restoring the target object due to object dependencies defined by a cluster configuration; generating a relationship graph for the one or more additional objects and the target object; and restoring the target object based on the data changes, the first snapshot and the relationship graph.

Abstract: A primary query engine may receive a query and determine whether the query is eligible for performance at a secondary query engine. If eligible, the primary query engine may evaluate the availability of the first query engine to perform the query. The first query engine may determine whether to assign the query to the primary query engine or to the secondary query according to availability evaluation. For queries assigned to the secondary query engine, the primary query engine may send a request to the secondary query engine to being processing of the query.

Abstract: Systems and methods are configured to extract images from provided source data files and to preprocess such images for content-based image analysis. An image analysis system applies one or more machine-learning based models for identifying specific features within analyzed images, and for determining one or more measurements based at least in part on the identified features. Such measurements may be embodied as absolute measurements for determining an absolute distance between features, or relative measurements for determining a relative relationship between features. The determined measurements are input into one or more machine-learning based models for determining a classification for the image.

Abstract: A scalable cache coherency protocol for system including a plurality of coherent agents coupled to one or more memory controllers is described. The memory controller may implement a precise directory for cache blocks from the memory to which the memory controller is coupled. Multiple requests to a cache block may be outstanding, and snoops and completions for requests may include an expected cache state at the receiving agent, as indicated by a directory in the memory controller when the request was processed, to allow the receiving agent to detect race conditions. In an embodiment, the cache states may include a primary shared and a secondary shared state. The primary shared state may apply to a coherent agent that bears responsibility for transmitting a copy of the cache block to a requesting agent. In an embodiment, at least two types of snoops may be supported: snoop forward and snoop back.

Abstract: Techniques for generating and administering an oculo-cognitive addition test. Some aspects include identifying, by a system, a set of numbers that are to be displayed to a user during a trial of a cognitive test. The set of numbers includes at least two numbers. The system can administer the trial of the cognitive test, including, for each number in the set of numbers: displaying the number at a particular position of a display environment; tracking, by the system and using one or more optical sensors, eye movement of the user seeking the number in the display environment; and receiving, by the system and after having displayed the number for a time, a command that is to advance or end the cognitive test.

Abstract: An adjustable stand for an electronic device that is operable for stable movement in two directions with the use of a single hand of a user. An ergonomic design leverages a natural and intuitive movement of a user's hand to maintain an orientation of the electronic device throughout at least 180 degrees of movement.

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: Resource metrics are obtained for resources from distributed resources associated with operations of an enterprise. Metric types from the distributed resources defined in the metrics are grouped and aggregated into aggregated metric types within a data model. Each aggregated metric type data value of the data model is weighed. The weighted aggregated data values are used to calculate an overall service health value of the enterprise. A current instance of the data model is processed to render one or more single views within an interface to a user of the enterprise. Each single view includes the overall service health value along with a custom-level of detail for each aggregated metric type and the corresponding aggregated metric data values.

Abstract: Methods and systems for connecting data with non-standardized schemas in connected graph data exchanges. For example, the system generates a custom data structure corresponding to a user identifier for a user profile that includes pointers between user profile attributes (e.g., individual fields/categories within the user profile) and existing assets in a connected graph (e.g., an existing application, software profile for an application, data set, connections, etc.). The system then connects the custom data structure corresponding to the user identifier to the existing assets in the connected graph.