Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for a touchless testing platform employed to, for example, create automated testing scripts, sequence test cases, and implement determine defect solutions. In one aspect, a method includes the actions of receiving a log file that includes log records generated from a code base; processing the log file through a pattern mining algorithm to determine a usage pattern; generating a graphical representation based on an analysis of the usage pattern; processing the graphical representation through a machine learning algorithm to select a set of test cases from a plurality of test cases for the code base and to assign a priority value to each of the selected test cases; sequencing the set of test cases based on the priority values; and transmitting the sequenced set of test cases to a test execution engine.

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 flow of visual objects may be programmed into an enforcement computer, and used for the validations.

Abstract: A secure short-distance-based communication and validation system validates users in a validation area. The system may include multiple zones in the validation area and beacons in each zone. A run-time mobile device identifier and keys that may be location-specific, device-specific and time-specific are generated and utilized for secure communication between mobile devices and a zone computer in a zone. The validation area may be in a vehicle, and validation may include deducting a fare.

Abstract: Cloud computing technical components are provisioned into many different service platforms provided by many different service providers. Once provisioned, it is often the case that actions need to be performed against the technical components. An action execute architecture executes the actions across a wide range of disparate service providers hosting both public and private target hosting platforms, while also providing a much more flexible and dynamic environment for implementing and deploying those actions.

Abstract: A system includes circuitry for rewriting blockchains in a validity-preserving operation. In some cases, using a key secret held by a trusted party. In some cases, the blockchains may include a series of blocks secured 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. In some cases, integrity outputs may be generated from the integrity codes based on the content of the previous blocks in the series such that attempts by untrusted parties to replace a block may be detected through coding-inconsistencies with other blocks.

Abstract: A computing system implemented method, in one embodiment, can include a cloud control module receiving a constraint for cloud architecture. In addition, the method can include the cloud control module receiving a plurality of cloud service provider capabilities. Furthermore, the method can include the cloud control module filtering the plurality of cloud service provider capabilities to identify a cloud service provider capable of satisfying the constraint. Moreover, the method can include the cloud control module outputting an instruction for a resource from the cloud service provider.

Abstract: A method may include determining first network data corresponding to a first time period, including alarm data and incident data collected by a set of network devices of a core network during the first time period. The method may include creating, based on the first network data, an incident prediction model. The method may include receiving second network data, associated with the core network, corresponding to a second time period. The second network data may include alarm data and incident data collected by a network device, of the set of network devices, during the second time period. The method may include generating, based on the second network data and the incident prediction model, an incident prediction that includes a prediction whether the network device will experience an incident during a third time period.

Abstract: Unmanned vehicle (UV) movement and data control may include controlling a UV according to a movement plan. Formatted movement and status metadata may be received from a sensor of the UV during movement of the UV. The movement and status metadata may include time and location information for the UV during the movement of the UV. An unformatted data stream may be received from the sensor of the UV. The time and location information may be injected into metadata of the unformatted data stream to generate a time and location correlated (TLC) stream. The TLC stream may be analyzed to identify an event related to the UV, and a notification related to the event may be generated.

Abstract: A method and system for analyzing equipment degradation for maintaining the equipment are provided. The method and system receive and store equipment and sensor data associated with operational equipment, generate a display signal to display a relationship analysis window, a residual error window, a performance condition window, and a maintenance trigger window, and evaluate a coordinated relationship between the equipment sensor data and the environmental data, determine residual errors and determine a Historical Health Condition Index (HHCI) for the operational equipment and generate a Future Health Condition Index (FHCI) from the HHCI, and generate an equipment maintenance trigger for the operational equipment by establishing a trigger threshold for maintenance.

Abstract: A document presentation interface generates documents or reports based on automatic mapping of the specified data fields to the columns to be included in the document. The data fields are selected from a plurality of data sources associated with different applications. A template is selected for the generation of the document and one or more of a rules-based processing, a historical lookup or similarity scoring techniques are implemented to automatically map the selected data fields to the columns. The document which is generated from the automatic mapping is transmitted to the users via the modalities specified during the document configuration.

Abstract: A document verification system may verify modification to a physical document through digital image processing. Imaging sensors capture images of a modified physical document. A digital image processing circuit measures pixel parameters for a plurality of regions of the digital images for comparison to a verification pattern to verify the document.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for creating structured data using data received from unstructured textual data sources. One of the methods includes receiving unstructured textual data, identifying one or more keywords in the unstructured textual data, determining one or more patterns included in the unstructured textual data using the identified keywords, identifying one or more intelligence types that correspond with the unstructured textual data using the determined patterns, and associating, for each of the identified intelligence types, a data subset from the unstructured textual data with the respective intelligence type.

Abstract: This document generally describes techniques for using a distributed ledger to implement a framework for the validation and distribution of virus signatures, which may be used by antivirus engines on computing devices to detect and remove malware. Some implementations can include accessing, by a computing system, data that identifies a plurality of virus signatures. A signature score associated with a first virus signature can be identified that is determined based on a number of signature authorities that have submitted or endorsed the first virus signature. The computing system may determine whether the first virus signature is valid based on whether the signature score satisfies a threshold score. In response to determining that the first virus signature is valid, the first virus signature can be used by the computing system to perform virus scans of one or more files maintained by the computing system.

Abstract: This document generally describes systems, methods, devices, and other techniques for using distributed ledgers, such as a blockchain database, to facilitate secure distribution and use of 3D model files to 3D printers over a computing network. A 3D printer controller may access an electronic ledger that identifies a plurality of 3D model files that have been made available for distribution. A particular 3D model file and a secret key may be obtained by the printer, where the 3D model file is encrypted based on the secret key. The secret key can be decrypted using a private key associated with the computing device that corresponds to the public key. After decrypting the secret key, the particular 3D model file can be decrypted using the secret key, and after decrypting the particular 3D model file, the particular 3D model file can be executed on the printer to print a physical 3D object.

Abstract: A device may receive one or more images captured by an image capture system. The one or more images may depict one or more objects. The device may process the one or more images using one or more image processing techniques. The device may identify the one or more objects based on processing the one or more images. The device may identify a context of the one or more images based on the one or more objects depicted in the one or more images. The device may determine whether the one or more objects contribute to a value of one or more metrics associated with the context. The device may perform an action based on the value of the one or more metrics.

Abstract: A collaboration system provides a combination of technical features to address complex collaboration between geographically distributed teams. The collaboration system implements follow and notify functionality, monitor and engage functionality, and capture functionality. The collaboration system may, for instance, tailor data flows and notifications of significant workflow events via a dynamically tuned subscription model. The system may also create a digital collaboration workspace supported by automation and machine learning functionality. In addition, the system may create documentation of collaboration with automatic recommendation of metadata tags to support search and cataloging of the documentation.

Abstract: A curator captures input data corresponding to service tasks from an external source. Further, a browser extension collects intermediate service delivery data for the service tasks from the external source. Subsequently, a learner stores the input data and the intermediate service delivery data as training data. Then, a receiver receives a service request from a client. The service request is indicative of a service task to be performed and information associated with the service task. Further, an advisor processes the service request to generate an intermediate service response. Thereafter, the advisor determines a confidence level associated with the intermediate service response and ascertains whether the confidence level associated with service response is below pre-determined threshold level. If the confidence level is below a pre-determined threshold level, the advisor automatically generates a final service response corresponding to service request based on training data.

Abstract: Methods and systems for generating sensor data, wherein the sensor data includes measured transit time information for items flowing through a work process, accessing a set of control data for one or more machine tool workstations and accounting data for the work process, calculating a standard deviation of the measured transit time information, calculating an achievable minimum WIP for at least one of the workstations using current values of workstation performance parameters, receiving input including: information identifying process improvement projects and corresponding predictive performance parameter values, and information identifying resources available for process improvement, for the at least one of the workstations: determining an achievable minimum WIP using the corresponding predictive performance parameter values, determining a reduction in minimum WIP based on the difference between the achievable minimum WIP for the current performance parameter values and the predictive performance parameter

Abstract: A device may receive a trigger to generate a pagination for a set of data entries. The device may determine a quantity of pagination levels associated with the pagination. The quantity of pagination levels may be two or more pagination levels. The device may determine a set of parameters associated with the pagination. The set of parameters may include a parameter for a pagination type for each pagination level of the two or more pagination levels. The device may paginate the set of data entries into a set of pages of the pagination based on the two or more pagination levels and the set of parameters. A data entry, of the set of data entries, may be placed into a page at a first pagination level of the two or more pagination levels. The device may cause the page, of the set of pages, to be displayed.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for forecasting event volumes. One of the methods includes receiving activity data associated with events that occur in a computer network, transforming the received activity data into processed activity data, determining, for each of a series of distinct time periods, whether the distinct time period is associated with an anomalous level of event activity, and flagging the processed activity data with a designation of whether each of the series of distinct time periods is associated with the anomalous level of event activity. Based on the flagged activity data, prediction data is generated and provided that predicts a volume of events for a given future time period and a likelihood that the volume of events for the given future time period will be anomalous.