Abstract: An extensible key management system includes a developer services portal for accessing an application. The system may identify initiation via the developer services portal of an association of the application with an external API of a third party provider service and automatically obtain a sub-key for the external API from the third party provider service on behalf of a developer of the application. The sub-key may be obtained in accordance with authorization provided by a master key previously provided from the third party provider service. The system may map an association between the sub-key, the application and the external API and store the association. Upon receipt of a service call message resulting from a request from a user device executing the application, the system may identify and replace a developer API key included in the service call message with the sub-key based on the stored association.

Abstract: A secure short-distance-based communication and enforcement system validates users in a validation and enforcement area and can check if users in the validation and enforcement area have been validated. A visual object can be displayed on an enforcement computer and a mobile device of a user in the in the validation and enforcement area to determine if a user is validated. The visual object may be periodically changed.

Abstract: Computerized methods and systems, including computer programs encoded on a computer storage medium, may detect event shown within digital video content captured by one or more video cameras, and correlate these detected events to real-world conditions that may not be captured within the digital video data. For example, a computing system may detect events shown within digital video content captured by one or more video cameras, and may obtain data that identifies at least one external event. The computer system may establish a predictive model that correlates values of event parameters that characterize the detected and external events during a first time period, and may apply the predictive model to an event parameter that characterizes an additional event detected during a second time period. Based on an outcome of the predictive model, the computing system may determine an expected value of the external event parameter during the second time period.

Abstract: In one aspect, the present application is directed to a communications network, a computer system, a computer-implemented method, and a computer program product for providing a femtocell-based infrastructure for mobile electronic payment. In an aspect, the communications network may include a mobile operator network; a local area in the mobile operator network, wherein the local area is under coverage of at least one femtocell; and a femtocell-based payment system connected to the mobile operator network, wherein the femtocell-based payment system is operable to provide mobile electronic payment via a user device recognized by the at least one femtocell within the local area and notified by the femtocell-based payment system.

Abstract: A system acquires geocoded data, smoothes the geocoded data, and displays the smoothed geocoded data in a graphical visualization representative of the physical locations of the acquired geocoded data. The system obtains an indication of operational parameters for smoothing geocoded data, such as a data precision level, viewing window, data characteristics, and smoothing parameters. The system generates an area map that includes entries for each location in the viewing window (or other predetermined area) according to the data precision level. The system may populate any entries without associated data values with a zero value. To process the geocoded data, the system may determine a vector of interest from the area map and generate, for example, a single smoothing matrix that smoothes each of the values in the vector of interest. The system applies the smoothing matrix to the vector of interest.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for determining network related anomaly scores. One of the methods includes generating a network map including at least a plurality of network nodes and a plurality of edges that indicate communications paths between the plurality of network nodes, obtaining first data indicating network activity over the edges and between the plurality of network nodes for a first time period, generating a model of expected network activity over the edges and between the plurality of network nodes for a future time period using the network map and the first data, obtaining second data indicating network activity over the edges and between the plurality of network nodes for a second time period, and determining an anomaly score using a comparison between the second data and the model of expected network activity.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for managing orders. The methods include actions of receiving an order for an item to be fulfilled by the fulfillment center for a fulfillment time, obtaining a portion of stored historical preparation information that is relevant to fulfillment of the item by the fulfillment time, obtaining current order information that describes other orders to be fulfilled at the fulfillment center, determining to provide an alternate suggestion, identifying at least one of an alternate item, an alternate fulfillment center, or an alternate time to include in the alternate suggestion, generating the alternate suggestion based on the identification of at least one of the alternate item, the alternate fulfillment center, or the alternate time to include in the alternate suggestion, and providing the alternate suggestion to the user device.

Abstract: According to an example, intent and bot based query guidance may include receiving a query associated with a domain, and identifying, based on an analysis of the query, an intent of the query by extracting an action associated with the query and an entity associated with the query. An intent model associated with the query may be generated based on a mapping of the action and the entity with a domain model of the domain. An intent domain specific language representation of the intent model associated with the query may be generated. Based on an analysis of the intent domain specific language representation, a plurality of bots may be identified, and a parameterized bot chain may be generated to respond to the query. A runtime binding of bots of the parameterized bot chain may be performed, and invoked to generate the response to the query.

Abstract: According to examples, software integration testing with an unstructured database may include determining a driver class file for an integration testing tool to connect to a specified unstructured database. A connectivity driver may be generated for the specified unstructured database. Dependency files may be determined for retrieval of data from the specified unstructured database and update of the data in the specified unstructured database. The driver class file, the connectivity driver, and the dependency files may be stored in a library of the integration testing tool. A connection may be established between the integration testing tool and the specified unstructured database. A query may be sent to the specified unstructured database for execution, and query results may be received based on performing a function when the query is executed. The query results may be compared to validation data to determine whether the function operates in a determined manner.

Abstract: A device may receive text to be processed to prioritize text sections included in the text. The device may perform one or more prioritization techniques to prioritize the text sections. The one or more prioritization techniques may include at least one of: a semantic centrality analysis that indicates a degree to which a text section is semantically related to at least one other text section, an information content analysis that indicates a degree to which the text section includes information not included in the at least one other text section, or a combined analysis based on the semantic centrality analysis and the information content analysis. The device may prioritize the text sections, to form a set of prioritized text sections, based on performing the one or more prioritization techniques. The device may provide information that identifies the set of prioritized text sections.

Abstract: According to examples, inventory, growth, and risk prediction using image processing may include receiving a plurality of images captured by a vehicle during movement of the vehicle along a vehicle path. The images may include a plurality of objects. The images may be pre-processed for feature extraction. A plurality of features of the objects may be extracted from the pre-processed images by using a combination of computer vision techniques. A parameter related to the objects may be determined from the extracted features. A spatial density model may be generated, based on the determined parameter and the extracted features, to provide a visual indication of density of distribution of the objects related to a portion of the images, and/or to provide an alert corresponding to the objects related to the portion of the images.

Abstract: Computerized methods and systems, including computer programs encoded on a computer storage medium, may detect events shown within digital video content captured by one or more video cameras during a prior time period, and predict an occurrence of an additional event during a future time period based on time-varying patterns among the detected events. For example, a computing system may detect events shown within digital video content captured by one or more video cameras, and may establish a predictive model that identifies one or more time-varying patterns in event parameter values that characterize the detected events within the prior time period. Based on an outcome of the predictive model, the computing system may determine an expected value of one of the event parameters during the second time period.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, are described that receive, from a device, a request to obtain an amount of physical items from an account, the account defining a total quantity of the physical items able to be obtained from the account, and the account being maintained across multiple locations at which the physical items are stored. The request is transmitted to at least one computer that manages inventory of the physical items for at least one of the multiple locations. Inventory availability information is received from the at least one computer that manages inventory of the physical items, including information regarding availability of the amount of physical items, and availability of a combination of differently-sized subunits of physical items that satisfy the requested amount. The inventory availability information is then transmitted to the device.

Abstract: A system may provide hardware acceleration for blockchain-based record entry. Client circuitry may provide record entry information to node circuitry. The node circuitry may compile the record entry information into a record entry for submission to blockchain management circuitry (BMC). The BMC may access a consensus operating procedure. The BMC may apply the consensus operating procedure to the record entry to gain append permissions for a blockchain. After completing the consensus operating procedure, the BMC may append a block generated based on the record entry to the blockchain. Accordingly, the system may ensure that blocks added to the blockchain were generated in compliance with the consensus operating procedure.

Abstract: A device may receive a uniform resource identifier that identifies an object source. The object source may include one or more objects organized in a hierarchy of objects. The device may identify an object, of the one or more objects, to permit extraction of one or more properties of the object. The device may extract the one or more properties of the object based on identifying the object. The device may select a subset of properties, of the one or more properties, to use to generate an object locator based on extracting the one or more properties. The object locator may be associated with locating the object in the hierarchy of objects. The device may generate the object locator based on selecting the subset of properties of the object.

Abstract: According to an example, customized visualization based intelligence augmentation may include accessing, based on a user request, a domain model, and mapping the user request to the domain model. Based on the mapping, a guided query that includes a relevant refinement question may be generated. A response may be received to the refinement question. Based on the received response, a refined user request may be generated, and classified into an intelligence augmentation category. Based on the classification, an intelligence augmentation analyzer may be accessed to analyze the refined user request to generate an insight output that is classified to a visualization. Based on the classification of the insight output to the visualization, responsive to the user request, a display of the visualization may be generated.

Abstract: Novel methods and systems are provided for integrating multi-vendor cloud computing operations and architectures by using service-oriented orchestration to create a vendor and platform agnostic cloud computing framework. This approach aggregates core cloud computing functions including service provisioning, automating work flows, and data and usage monitoring across integrated services, thereby improving a data centers ability to execute operations quickly, under standardized protocols and with consistent quality of service.

Abstract: A cloud services monitoring system (CSMS) helps a consumer of cloud computing resources determine the state of the cloud computing resources available to the consumer. The CSMS is particularly effective for cloud models where the consumer of the cloud computing resources is not the same as the provider of the cloud resource. The CSMS also provides mechanisms for adjusting operations actions to preserve service guarantees for the consumer. In that regard, the CSMS dynamically adjusts operations actions in response to the state of the cloud, rather than executing fixed predetermined operations actions that are not tailored to the monitored conditions.

Abstract: A mobile application portfolio management system that estimates performance of a mobile application portfolio on various metrics and provides suggestions for improvements is disclosed. The mobile application portfolio manager calculates different KPIs for estimating performance of the mobile applications within the mobile application portfolio. The KPIs that underperform their respective thresholds are analyzed to isolate the elements of the KPIs that result in subpar performances by the KPIs. Various corrective actions to improve the performance of the elements of the KPIs can be derived based on the rules configured within the mobile application portfolio management system.

Abstract: There has been exponential growth in the capture and retention of immense quantities of information in a globally distributed manner. A closed-loop unified metadata architecture includes a universal metadata repository and implements data quality and data lineage analyses. The architecture solves significant technical challenges to provide a meaningful, consistent and normalized view of the metadata that describes the information, as well as to determine data lineage and meaningful data quality metrics.