Abstract: Cloud computing has emerged as an extremely popular implementation option for a wide range of computing services. However, provisioning services into the cloud is an extremely difficult technical challenge. This is due in part to the regular emergence of new cloud service providers, as well as the routine changing and reconfiguration of the disparate computing platforms, services, assets, supported technical components, and other features offered by the service providers. An analysis architecture determines how to map a particular technical component into the execution environment of any particular service provider with the aid of translation scripts.

Abstract: Unmanned vehicle (UV) control may include receiving a UV work order and generating a mission request based on the UV work order. The mission request may identify an objective of a mission, assign a UV and a sensor to the mission from a fleet of UVs and sensors, and assign a first movement plan to the mission based on the identified objective of the mission. The assigned UV may be controlled according to the assigned first movement plan, and communication data may be received from the assigned sensor. The communication data may be analyzed to identify an event related to the mission. The identified event and the first movement plan may be analyzed to assign a second movement plan to the mission based on the analysis of the identified event and the first movement plan to meet the identified objective of the mission.

Abstract: A device may obtain text to be processed to extract constraints corresponding to an object in the text. The constraints may define values permitted to be associated with the object. The device may extract the constraints based on identifying patterns in the text. The device may generate, based on the constraints, positive test data and negative test data for testing values for the object. The positive test data may include a first value that satisfies each of the constraints, and the negative test data may include a second value that violates at least one of the constraints. The device may provide information that identifies the positive test data and the negative test data.

Abstract: A method for controlling a sensor may be performed by a mobile device including a processor and a memory. The method may include receiving raw data from the sensor, classifying the raw data into a context value, interpreting the context value into a higher-level context, receiving a predicted context based on the higher-level context, and controlling the sensor based on the predicted context. Controlling the sensor may include controlling a frequency at which raw data is received from the sensor, or an on/off state of the sensor. Control of the sensor may also be based on both the higher-level context and the predicted context.

Abstract: A device may select an enterprise content management (ECM) system for monitoring. The ECM system may include a set of subsystems. The device may monitor the set of subsystems of the ECM system based on selecting the ECM system for monitoring. The device may perform a set of health checks on the set of subsystems based on monitoring the set of subsystems. The set of health checks may include a validation of a set of network addresses associated with the set of subsystems, an analysis of a set of log files associated with the set of subsystems, and a determination of a set of metrics associated with the set of subsystems. The device may generate a health check report based on the set of health checks. The device may provide the health check report.

Abstract: An integrated fleet vehicle management system provides remote management and diagnostics and analysis of vehicles. The system provides integration across many layers including on board units (OBUs) in vehicles, a telematics layer collecting OBU data, enterprise resource planning (ERP) applications, a data and analytics layer platform including data storage, and a mobility platform. The above integration enables management and diagnostics of vehicles and analysis of vehicle data for servicing and determining productivity.

Abstract: Cloud computing has emerged as an extremely popular implementation option for a wide range of computing services. However, provisioning services into the cloud is an extremely difficult technical challenge. This is due in part to the regular emergence of new cloud service providers, as well as the routine changing and reconfiguration of the disparate computing platforms, services, assets, supported technical components, and other features offered by the service providers. An analysis architecture determines how to map a particular technical component into the execution environment of any particular service provider, including translation through a reference type.

Abstract: An access management robot facilitation system facilitates a robot to execute access management tasks on a target system.

Abstract: The disclosed embodiments include computerized methods and systems, including computer programs encoded on a computer storage medium, for objectively characterizing an impact of an intervention on individuals or groups. For example, a computing system may obtain, and store in a data lake, intervention data identifying interventions, and objective data characterizing an impact of these interventions on at least one individual. The computer system may also populate a queryable interface with query parameters (e.g., at least one of the interventions and at least a portion of the objective data), which may be presented to a user via a device. The computer system may obtain stored intervention and objective data consistent with a received query, which may be provided to the device for presentation to the user. The disclosed embodiments also provide a visual representation of trends in the stored data and candidate interventions the address the identified trends without user input.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for providing network resources based on available user information. The methods, systems, and apparatus include actions of obtaining a set of user information, receiving a request to access a network resource, and in response to receiving the request to access the network resource, determining user information requested by the network resource. Additional actions include determining whether the set of user information satisfies the user information requested by the network resource and in response to determining that the set of user information satisfies the user information requested by the network resource, selecting a particular network resource to provide in response to the request. Further actions include in response to selecting the particular network resource, providing the particular network resource in response to the request.

Abstract: An intelligent automatic license plate recognition (IALPR) system implements technical solutions that improve the accuracy of automatic license plate recognition. The IALPR analyzes an image of a vehicle proximate to a toll collection point using optical character recognition (OCR), and determines candidate license plate identifications based, at least in part, on the corresponding OCR confidence level. The IALPR can also perform fingerprinting for candidate license plate images and matching analysis with a knowledge base, resulting in additional confidence levels. The IALPR can also perform behavioral analysis on the candidate license plate identifications, including trip context analysis, historical behavioral analysis, or other analytics. The IALPR can generate an overall confidence level for the candidate license plate identifications responsive to the OCR and vehicle fingerprint confidence levels and the behavioral analysis.

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 method, a system and a device are provided for aggregating data to provide a display in a user interface. The method includes populating data records in data storage of a data management system; authenticating a user; retrieving a list from the data records and displaying the list for the authenticated user; selecting an item from the list through the user interface; receiving an item authentication token associating with the authenticated user; retrieving the plurality of attributes for the item authentication token and a progress status of the object history record; and in response to receiving a user selection, providing a text input field on the display for receiving a user's text inquiry; determining a numerical figure for the authenticated user; and aggregating data for displaying the plurality of attributes, displaying the progress status and determining the numerical figure for the authenticated user.

Abstract: A device may receive a plurality of data objects from a plurality of sources; identify text data, image data, and location data of the plurality of data objects; identify relevant data objects, of the plurality of data objects, based on the text data, and/or based on the image data, based on the location data, and/or based on comparing the text data, the image data, and the location data to a predefined element that identifies values relevant to a particular group or subject area; assign scores to the relevant data objects based on the text data, the image data, and the location data; aggregate the scores, as one or more aggregated scores, with regard to one or more users associated with the relevant data objects; and/or perform one or more actions based on the one or more aggregated scores associated with the one or more users.

Abstract: A system may include a client device. The client device may receive, from a set of vending devices and via a network connecting the set of vending devices with the client device, sensor data relating to a status of the set of vending devices. The client device may generate a user interface associated with providing information identifying the status of the set of vending devices. The client device may provide, for display, the user interface based on generating the user interface. The client device may detect, based on providing the user interface, a selection of an adjustment that is to be performed for a particular vending device of the set of vending devices. The client device may transmit, via the network, an instruction to the particular vending device to cause the adjustment to be performed for the particular vending device.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for recognizing object sub-types in images. One of the methods includes receiving training data; selecting training data for an image; determining whether to randomly permute a value of a property of the selected image; providing, to a deep neural network, the particular training data or the randomly permuted particular training data; receiving, from the deep neural network, output data indicating a predicted label for an object sub-type for an object depicted in the selected image, and a confidence score that represents a likelihood that the object has the object sub-type; updating one or more weights in the deep neural network using an expected output value, the predicted label, and the confidence score; and providing the deep neural network to a mobile device for use detecting whether one or more images depict objects having the particular object sub-type.

Abstract: Context based AR may include receiving a first wireless signal from a pair of context based AR glasses worn by a user. The context based AR glasses may include a display viewable by the user and a camera to image an object viewed by the user. The image of the object may be analyzed, and compared to images of objects stored in a database that includes information associated with the images of the objects. Based on a match, the object viewed by the user may be identified. Based on collaboration of the user with personnel disposed remotely from the user, and the identified object, a second wireless signal may be sent to the pair of context based AR glasses to provide information related to the collaboration, and to further superimpose the information associated with the identified object adjacent to and/or on top of the object viewed by the user.

Abstract: A system, method and article of manufacture are provided for a first business entity to provide a network-based supply chain framework for collaborative order management between at least a second and a third independent business entity, such as a service provider, vendor, reseller, manufacturer and the like. A request for an order is received over a network with an automated system, from at least a second business entity. The order is transmitted over a network, with an automated system, to at least the third business entity. Information is received from the third business entity relating to a status of completion of the order by the third business entity using a network. The progress in completing the order is tracked based on the information received from the third business entity. Progress reports from the tracking are generated periodically; and transmitted to the second business entity using the network.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining where to store a version of an object in an isolated environment. In one aspect, a method include actions of obtaining, from a process running in an isolated environment, a request to access an object and determining a frequency that changes to a version of the object stored in the isolated environment will be mapped back to a version of the object stored in the non-isolated environment. Additional actions include determining, based on the frequency that changes to a version of the object stored in the isolated environment are mapped back to a version of the object stored in the non-isolated environment, whether to store the version of the object in primary memory associated with the isolated environment or secondary memory associated with the isolated environment.

Abstract: A testing and extract, transform and load (TETL) system is operable to interface with test platforms testing hardware or software components of information technology systems. The TETL system can execute extract, transform and load operations to load test data into a data warehouse and facilitates evaluating the test data across projects, entities and domains.