Abstract: An application testing developer system provides a platform for generating real-time suggestions for allocating test cases to testers in a distributed environment based on monitored characteristics from previous testing of a test application. The application testing developer system includes a smart advisory tool that optimizes test case allocation in real-time, adaptively assigns incentives in real-time to test cases for prioritizing testing of certain test cases over others, and monitors and validates testing activities.

Abstract: Condition detection using image processing may include receiving a mask generated from images and telemetry data captured by a vehicle, an altitude map, and alignment data for the mask. The images may be related to movement of the vehicle along a vehicle path and non-infrastructure entities along an infrastructure entity position of a corresponding infrastructure entity, and the telemetry data may include movement log information related to the movement of the vehicle along the vehicle path. Condition detection using image processing may further include using the mask related to the vehicle path and the non-infrastructure entities, and an infrastructure rule to detect a risk related to the infrastructure entity by analyzing the mask related to the vehicle path and the non-infrastructure entities, and the infrastructure rule, and determining whether the infrastructure rule is violated.

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: 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 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 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: 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: 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 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: 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: 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.

Abstract: A device receive data regarding a project. The device may automatically evaluate the data using a set of analytics tools. The device may communicate with a client device to provide a virtual agent user interface component based on evaluating the data using the set of analytics tools. The virtual agent user interface component may include information identifying a set of alerts relating to the project and a set of recommendations relating to the set of alerts. The device may receive information indicating that a particular recommendation, of the set of recommendations is to be implemented. The device may communicate with one or more other devices to implement the particular recommendation.

Abstract: A device may receive, from a beacon device, a first message including a first identifier. The first identifier may be associated with the beacon device. The device may receive, from a user device, a second message including a second identifier. The second identifier may be associated with the user device. The device may determine the second identifier based on the second message and the first identifier. The device may determine an event associated with the second identifier based on the first identifier. The device may provide, to another device, information that identifies the second identifier and the event to permit the other device to identify a displacement trajectory associated with the user device.

Abstract: A system and method for centralized statistical analysis and control of power consumption is provided. The centralized statistical analysis, performed by a centralized power utility management system, may then be compared with one or more goals of the customer. Based on the comparison of the statistical analysis with the one or more goals of the customer, one or more actions may be taken including controlling one or more appliances resident at the customer premises.

Abstract: A device may obtain text to be analyzed to determine semantic connections between sections of the text. The device may identify subject-verb-object (SVO) units included in the text, and may determine SVO unit information that describes the SVO units. The device may analyze the SVO unit information to determine semantic connection information that identifies one or more semantic connections between two or more of the SVO units. The one or more semantic connections may identify relationships between verbs associated with the two or more of the SVO units. The device may generate a semantic network based on the SVO unit information and the semantic connection information, and may provide information regarding the semantic network.