Abstract: Variable access privileges for secure resources in an autonomous vehicle, including: allocating, by a hypervisor, to a first virtual machine comprising a first operating system, a first one or more access privileges to one or more resources; allocating, by the hypervisor, to a second virtual machine comprising a second operating system different than the first operating system, a second one or more access privileges to the one or more resources; and modifying, by the hypervisor, the second one or more access privileges in response to a change in an execution state of the first virtual machine; wherein the hypervisor, the first virtual machine, and the second virtual machine are implemented by an autonomous vehicle.

Abstract: A control system includes at least one field device, a first control apparatus, a second control apparatus, a cache server, and a network. The first control apparatus has a first field device directly connected thereto and includes a first access route controller and a first control application capable of controlling the first field device. The second control apparatus includes a second access route controller and a second control application capable of controlling the first field device. The cache server includes a memory and a third access route controller. The first through third access route controllers are configured to work together to be capable of transferring, to the cache server, an input/output instruction for the first field device from the second control application.

Abstract: A vehicle controller includes: an execution unit configured to execute a control program for controlling a vehicle; a storage unit having a first program storage area to store the control program and a second program storage area to store an update program that is an updated version of the control program and created based on update data acquired from a device located outside the vehicle through a network; and an update unit that stores the update program in the second program storage area based on the update data, regardless of whether the execution unit is executing the control program.

Abstract: A method for facilitating identification of secrets in source code by using machine learning is provided. The method includes retrieving a plurality of files from a repository, each of the plurality of files including a source code file; parsing the source code file to identify a training feature; associating a predetermined label with the training feature, the predetermined label corresponding to a secret label and a non-secret label; training a model by using the training feature and the corresponding predetermined label; receiving, via a graphical user interface, a test file, the test file including a set of source codes; parsing the set of source codes to identify a feature; and determining, by using the model, a first characteristic of the feature.

Abstract: Methods and systems provide for a notebook interactive programming environment, having out-of-order code-cell execution, which communicates potential cell execution outcomes. If an event handler receives an event (e.g., open notebook, code change, code execution, etc.) for a cell, without a request for a specific type of analysis (e.g., data-leakage, stale-state), intra-cell analysis is executed based-on the cell's abstract semantics, and an abstract state and pre-summaries are output that indicate the cell's propagation dependency (unbounded variables). If an analysis is associated with the event, starting with the stored abstract state, inter-cell analysis is recursively executed on successor cells having propagation dependencies, until a terminating criteria is reached. Outcomes (e.g., affected cell, line number, bug type, metrics, etc.) are sent via the notebook user-interface to warn users, ahead of concrete code execution, of hypothetical unsafe or safe actions in executing the notebook's code cells.

Abstract: Techniques for recommending microservices to perform the different functions of a legacy architecture are disclosed. In one example, a computer implemented method comprises receiving a plurality of recommendations comprising a plurality of program components as candidates for assignment to a plurality of microservices, and determining roles of respective ones of the plurality of program components. A user interface is provided which is configured to allow a user to modify one or more of the plurality of recommendations based at least in part on the roles. Modifications to the one or more of the plurality of recommendations are analyzed, and one or more metrics are computed based at least in part on the analysis.

Abstract: Various embodiments disclosed herein relate to a building automation controller and related method and storage medium including a processor configured, through at least execution of a distributed computer program, to: receive sensor data generated by a sensor, wherein the sensor data is indicative of a state of a defined space, identify an action to be performed by a device to affect the state in accordance with an operating characteristic for the defined space, determine that the device is attached to a second controller of a plurality of additional controllers, and transmit to the second controller, an indication that the action is to be performed by the device, wherein: the distributed computer program is configured to be distributed among the processor and the plurality of additional controllers and, the processor is further configured to apportion work to be performed by the computer program between at least the additional controllers.

Abstract: Centrally optimizing production of a reservoir that has a plurality of wells comprises monitoring production of each well in the reservoir using one or more respective sensors at each well. Sensor data indicative of the monitored production of each well from the one or more respective sensors is input to a central processing device for processing to evaluate the production of each well. The production of each well is evaluated to identify opportunities for optimizing production by the plurality of wells in the reservoir. In addition, one or more actions are taken using the central processing device to optimize production by the plurality of wells based on the identified opportunities for optimizing production.

Abstract: A method may include extracting, from a function included in code, sub-tokens and program analysis features, generating sub-token vectors from the sub-tokens and a program analysis vector from the program analysis features, combining, by a machine learning model, the sub-token vectors to obtain a combined sub-token vector, combining the combined sub-token vector and the program analysis vector to obtain a function vector, and classifying, using the function vector, the function as a function category.

Abstract: A resource management system in a data center one or more data storage resource providers and a transaction server. The transaction server is configured to receive, from a client, a request for read and/or write access for a data storage resource, the request comprising one or more specifications, to provide, to the one or more data storage resource providers, at least a portion of the request, and to receive, from the one or more data storage resource providers, respective responses to the request, the responses respectively comprising one or more allocation options. The transaction server is further configured to select one of the one or more allocation options for registration, and register the selected allocation option with a data manager. At least one of the one or more data storage providers is configured to provide the data storage resource in accordance with the registered allocation option.

Abstract: Probabilistic models may be used in a deterministic workflow for robotic process automation (RPA). Machine learning (ML) introduces a probabilistic framework where the outcome is not deterministic, and therefore, the steps are not deterministic. Deterministic workflows may be mixed with probabilistic workflows, or probabilistic activities may be inserted into deterministic workflows, in order to create more dynamic workflows. A supervisor system may be used to monitor an ML model and raise an alarm, disable an RPA robot, bypass an RPA robot, or roll back to a previous version of the ML model when an error is detected by a data drift detector, a concept drift detector, or both.

Abstract: Disclosed implementations provide executable models, such as artificial intelligence models that can be owned, traded, and used in various execution environments. By coupling a model with a strictly defined interface definition, the model can be executed in various execution environments that support the interface. Coupling the model with a non-fungible cryptographic token allows the model and other components to be owned and traded as a unit. The tradeable composite units have utility across multiple supported execution environments, such as video game environments, chat bot environments and financial trading environments. Additionally, the interface allows for the creation of pipelines and systems from multiple complementary composite units.

Abstract: Certain aspects of the present disclosure provide techniques for establishing a web session between a computing device and a web-based integrated development environment to create and/or update files (e.g., content files and/or resource files). In the web session, content file(s) can be evaluated in real-time with one or more resource files. Further, in the web session, a set of validation rules of a resource file can be updated by the computing device. To stablish the web session, a first communication connection is established between the computing device and the web-based integrated development environment. With the first communication established, a second communication connection is established for real-time, bi-directional communication between the computing device and a language server instance of the web-based integrated development environment.

Abstract: A gas delivery system is provided comprising an electrical backplane, a system controller operatively coupled to the electrical backplane, and a plurality of mass flow controllers. Each mass flow controller includes respective mass flow control circuitry operatively coupled to the electrical backplane. The system controller and each mass flow control circuitry are physically mounted on the electrical backplane. The gas delivery system further comprises a pump/purge system to help eliminate pressure build up in the system and provide a quick stop to a flow process in the system. Accordingly, a row associated with a flow process may be evaluated so that a mass flow controller may be swapped out as needed.

Abstract: An exemplary method includes solving on a computing system an optimal power flow formulation for a plurality of generators in a power system. The solving includes computing using multi-threaded parallelism a plurality of constraints for the formulation, computing using multi-threaded parallelism a plurality of Jacobian functions of the constraints, and computing using multi-threaded parallelism a Hessian of Lagrangian functions. The method further includes outputting results of the solving, wherein the results comprise values of generation levels for the plurality of generators. Apparatus and program products are also disclosed.

Abstract: An example method to manage post provisioning operations of a virtual computing instance in a heterogeneous cloud environment is disclosed. The virtual computing instance may be provisioned by a first management entity and configured to receive a command from a second management entity. The method includes defining the instance with a dynamic type by the first management entity and repeatedly finding the dynamic type with one or more finder workflows to determine whether the virtual computing instance is terminated based on the command from the second management entity. In response to not finding the dynamic type within the heterogeneous cloud environment, the method further includes creating a catalog item for the virtual computing instance in a common service catalog and managing one or more resources allocated for the virtual computing instance based on the created catalog item.

Abstract: Systems, devices, and methods are provided that enable the revision of RF command handling software stored in ROM, and that enable to supplementation of RF command handling software stored in ROM. Examples of the systems, devices, and methods make use of a lookup data structure stored within writable non-volatile memory.

Abstract: A sensor device includes: a sensor data acquisition unit that acquires sensor data of a measurement target from a sensor; a sensor data analysis unit that analyzes the data acquired by the sensor data acquisition unit; an extraction data setting unit that sets extraction conditions indicating a part desired to be extracted from among all the sensor data; a specific condition extraction unit that extracts a part from among all the sensor data based on an analysis result and the extraction conditions; and a user interface unit that allows a user to input/output information. Further, the user interface unit includes simple condition setting means by which a simple condition being at least one or more of the extraction conditions among the extraction conditions can be set in the sensor data analysis unit, and detection result display means that displays data satisfying the simple condition in the sensor data analysis unit.

Abstract: A method of analyzing a performance of a microservices-based application comprises generating a plurality of traces from a plurality of spans associated with the microservices-based application. The method also comprises generating a plurality of data sets each associated with a respective analysis mode of a plurality of analysis modes using the plurality of traces, wherein each analysis mode extracts a different level of detail for analyzing the performance of the services in the application from the plurality of spans. Further, the method comprises selecting, based on a first user query, a first analysis mode from the plurality of analysis modes for generating a response to the first user query. The method also comprises accessing a data set of the plurality of data sets that is associated with the first analysis mode and generating the response to the first user query using the data set associated with the first analysis mode.

Abstract: Systems and methods define a stimulation pattern for a juvenile product utilizing a mobile device that executes a mobile application that is linked to the juvenile product. The method comprises the step of recognizing, by the mobile device when executing the mobile app, the user-defined stimulation pattern for the juvenile product. The stimulation pattern can be a vibration pattern or a motion pattern, and can be detected in a number of different ways by the mobile device. The method further comprises the step of determining control signals for the actuator(s) of the juvenile product based on the user-defined stimulation pattern that is recognized by the mobile device. The method further comprises the step of, in response to receiving a command to execute the user-defined stimulation pattern, controlling the actuator(s) of the juvenile product based on the stored control signals for the user-defined stimulation pattern.