Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for analyzing threat intelligence information. One of the methods includes receiving by a threat information server, threat intelligence information from one or more intelligence feeds and generating one or more identified security threats, identifying a compromise by a management process orchestration server and retrieving information from the threat information server and identifying one or more actions to be performed, determining by an indicator analytics processor, a composite credibility based on the actions, and determining one or more components for profiling and determining indicators of compromise for each component, and communicating the indicators of compromise to the management process orchestration server.

Abstract: A development platform system is disclosed that provides a development platform configured to create new and modified web-based applications. The development platform may be configured to search for and select a design layout template from available design layout templates stored on a database library. The development platform may further be configured to search for and select a data visualization template from available data visualization templates stored on a database library. The development platform may further be configured to generate a data visualization modification interface and accept a client device customization input to modify attributes of a data visualization. Templates that are modified by the development platform may be stored for subsequent look-up on a database library according to metadata describing attributes of the templates.

Abstract: The difference between estimated costs predicted for performing a first workscope and actual costs for performing the first workscope is determined. The model used to generate the estimated costs is adjusted to compensate for the difference, resulting in an improved model. Before beginning a second scope of work that is comparable to the first workscope, the improved model is used to predict estimated costs and a price for the second workscope. The estimated costs for the second workscope include predicted productivity gains. The price for the second workscope can be reduced relative to the price for the first workscope as a result of the improved model and the predicted productivity gains.

Abstract: A system includes circuitry for rewriting blockchains in a non-tamper-evident or tamper-evident operation using a key secret held by a trusted party. The blockchains may include a series of blocks secured by multiple integrity codes that may prevent non-tamper-evident rewrites by non-trusted parties that are not in possession of the key secret. In some cases, the key may allow valid but tamper-evident rewrites of the blockchain by trusted entities. Further, in some implementations, tamper-evident rewrites may be converted to non-tamper-evident rewrites through multiple-party ratification.

Abstract: New functions for a contact center system include: testing user's comprehension of informational messages; capturing insight users having a KPI score above a threshold by having those users submit information on why they perform well; dynamically ordering solutions to issues by re-ranking the solutions periodically based on recency and frequency; integrating information for use by a contact center representative while online with a customer and information for use when not online; storing content items in a telecommunications industry taxonomy; directing user feedback on a content item to the proper owner/manager of that content; communicating solution information using a solutions taxonomy; displaying a dual information system having a CRM application and reference material that's context-appropriate; enforcing completion of a group of templates when creating a content item to be published; ensuring a group of templates for a content item are complete before publishing them; and searching within a contact ce

Abstract: The social in line consumer interaction launch pad is a digital commerce service that integrates into digital social forums that allows users (e.g., consumers) to perform commerce functions within a social conversation (e.g., interaction) without leaving the social forums. The launch pad automatically determines whether the conversation is about a company, brand, product and/or service, and converts text entered during the conversation into a ‘hypertext link-mouse over-launch pad’ for users to view and respond to services related to the brand, product and/or service based context. The launch pad is implemented through alliances with social forum service providers and/or a web browser plug-in to tag input (e.g., free form text) within reviews, comments, and unstructured data, selectable to initiate an interaction and/or transaction with the company of the brand and/or product. The launch pad determines the content to provide based on context information and demographics of the author and/or recipient.

Abstract: The present disclosure concerns a method of identifying a biometric record of an individual in a database comprising a plurality of biometric records, each record comprising at least one reference biometric sample, the method comprising: receiving, by a biometric identification unit (202), an input biometric sample with associated source information; selecting, by the biometric identification unit using a reference table (210), and based on said source information a matching process; and applying by said biometric identification unit said selected matching process to at least some of said biometric records of said database to determine whether said input biometric sample matches a reference biometric sample of one of said biometric records.

Abstract: A system includes circuitry for rewriting blockchains in a non-tamper-evident or tamper-evident operation using a key secret held in portions by multiple individually untrusted parties. The blockchains may include a series of blocks secured by integrity codes that may prevent non-tamper-evident rewrites by non-trusted parties that are not in possession of the key secret or individually-untrusted parties in possession of only a portion of the key secret. In some cases, multiple individually-untrusted parties may combine their portions into the key secret. As a group, the multiple individually-untrusted parties may perform non-tamper-evident operation with respect to at least one integrity code within the blockchain.

Abstract: The present application relates to set top boxes and relates to the inclusion of a diagnostic function in the set top box which may be activated remotely or respond internally to the detection of faults or changes in status. The diagnostic function may emulate key presses from an infrared remote control to perform a test.

Abstract: A system for providing location-based services to a mobile device regularly determines the location of the mobile device. Using the location of the device, the system queries a database of virtual geographic regions to determine if the location of the mobile device falls within one or more of the virtual geographic regions. The virtual geographic regions correspond to service entities that have purchased, rented, leased, or otherwise acquired the virtual geographic regions. The virtual geographic regions cover a certain area of a map. If the mobile device is within a virtual geographic region, the system notifies the mobile device. A location-based services application installed on the mobile device launches an applet for the entity that acquired the virtual geographic region within which the mobile device is located.

Abstract: An electronic control unit (ECU) is tested by an automated D-bus testing tool in a first device. The test tool establishes one or more secure shells between the first device and the ECU. The tool reads test input data from an Excel input file. The ECU comprises a software stack including a test client, a Bluetooth middle layer and a hardware abstraction layer, that communicate internally relative to the ECU, via a D-bus. The test tool sends function calls and parameters via the secure shells to the ECU to test execution of Bluetooth functions and/or Bluetooth profiles. The function calls enable simulation of a human machine interface by the test client. The tool monitors API call returns and logs D-bus communications via the one or more secure shells. The test tool outputs test verdict information and/or D-bus communication logs as text in an Excel file.

Abstract: Examples of the disclosure project resource demand. In some examples, a first factor that corresponds to a task and/or a resource is identified. The first factor is associated with one or more scenarios. A model associated with the scenarios is generated. The model includes the first factor. The model is used to generate a projection associated with an expected resource demand for a first scenario. The projection is compared with historical data associated with an actual resource demand for the first scenario to determine a variance between the projection and the historical data. Based on the variance, a second factor that does not directly correspond to the task and/or the resource is generated. The second factor is configured to increase an accuracy of the model. Aspects of the disclosure enable the model to be generated, maintained, and/or updated in a calculated and systematic manner for increased performance.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for categorizing a process using crowdsourcing are described. The methods include the action of receiving data indicating resources allocated upon execution of each of one or more processes. The methods further include the action of receiving data indicating a configuration of the client device. The methods further include receiving data indicating a user selection whether to execute each of the one or more processes. The methods further include the action of determining a risk score that reflects a likelihood that the process is a malicious process. The methods further include the action of identifying a particular process. The methods further include the action of performing additional processing on the particular process. The methods further include the action of determining an updated risk score for the particular process.

Abstract: A device may receive a set of images for an object recognition operation to identify one or more objects in the set of images after the set of images are combined into a stitched image. The device may combine the set of images into the stitched image. The device may determine reliability scores for the set of images. The reliability scores may be determined based on a difference in images of the set of images, and the reliability scores may predict a quality of the stitched image that includes an image, of the set of images, to which the reliability scores correspond. The device may determine whether a result of the object recognition operation is likely to satisfy a threshold based on the reliability scores. The device may selectively perform the object recognition operation based on whether the result of the object recognition operation is likely to satisfy the threshold.

Abstract: According to some possible implementations, a device may obtain information related to multi-user content. The multi-user content may facilitate an interaction between users of different user devices. The device may store the multi-user content in local storage. The device may receive a request to establish connections with two or more user devices. The request may include connection information that is available from a display that is located at a location. The device, and the two or more user devices, may be located at the location. The location may include an area with no Internet connectivity or limited Internet connectivity. The device may establish the connections with the two or more user devices based on the connection information and via a local area network. The device may provide the multi-user content to the two or more user devices via the connections.

Abstract: A system and method for distributed intelligence of power tracking and power allocation may include: receiving data by at least one computer from a plurality of identified charging stations and vehicles of customers at distributed locations throughout a power grid; analyzing, with at least one processor of the at least one computer, the data with respect to available power for those locations and customer historical usage and profiles; and sending commands, with the at least one processor, to reallocate power to assets of the power grid to handle fluctuations or forecasted fluctuations in power demand based on the analysis. Customer preferences may also be considered in predicting power demand issues and need for demand response. Economic rules may be executed to incentivize the customers to comply with demand response requirements where demand is greater than power supply.

Abstract: The present disclosure relates to system, method and apparatuses for determining parameter settings for a power generation system and a tangible computer readable medium therefor. In an embodiment of the present disclosure, the system comprises at least one processor; and at least one memory storing computer executable instructions. The at least one memory and the computer executable instructions are configured to, with the at least one processor, cause the system to: divide historical power related data of the power generation system into a plurality of power load segments based on typical power load values and the number of the historical power related data; identify feasible parameter ranges for each of the plurality of power load segments; and determine optimal parameter settings for each of the plurality of power load segments, based on the identified feasible parameters ranges and correlations between system energy efficiency and relative parameters of each of the plurality of power load segments.

Abstract: Event correlation may include identifying a feature set for each log file of a plurality of log files, and extracting the feature set for each event of a plurality of events in each log file of the plurality of log files. Event correlation may further include determining a plurality of trace event pairs linkage strength values for an event from a first log file of the plurality of log files and a plurality of events from a second log file of the plurality of log files. The trace event pairs linkage strength values may represent an overlap of the feature set for the event from the first log file and the feature set for each of the plurality of events from the second log file.

Abstract: A system maintains, generates, and manages infrastructure layouts. The infrastructure layouts interconnect infrastructure components and capture relational aspects between the components within the interconnections. The infrastructure layouts map northbound services, which are service outputs, to southbound services, which are service capabilities, for fulfilment. The system may traverse a mapping from a northbound service to a fulfilling southbound service to generate a workflow to support deployment of the northbound service. In various implementations, the system may compare a path, which maps a northbound service to a southbound service, to a policy model to determine compliance with the policy.

Abstract: Methods, systems, and apparatus for receiving a particular set of user data; obtaining a predictive model that estimates a likelihood of a user to order a food item, wherein the predictive model is generated using observation data that includes historic user data and user data from other user devices; providing the particular set of user data to the predictive model; obtaining an indication of a likelihood of the user to order a food item; based on the indication of a likelihood of the user to order a food item, determining whether to output a notification on the user device inviting the user to order a food item; and in response to determining to output a notification on the user device inviting the user to order a food item, selectively outputting a notification on the user device inviting the user to order a food item.