12 results about "Defined process" patented technology

The systems and methods disclosed herein monitor application (e.g., artificial intelligence (AI) model) operations using interactions between the application and a kernel. The systems and methods disclosed herein intercept, using a kernel interface, one or more function invocations transmitted from the application (e.g., an AI model without model modification). Event record(s) are generated for one or more functions to define process identifiers, resource interaction types, timestamps, and / or resource identifiers. Observed pattern(s) for the application are identified by comparing current event record(s) with previous record(s), and the identified observed pattern(s) are evaluated against reference pattern(s) to generate score(s). Data packet(s) that indicate observed pattern(s), corresponding score(s), and / or cryptographic digital fingerprint(s) of the one or more functions are generated. The data packet(s) are transmitted to distributed ledgers for immutable storage.

The invention relates to a method for carrying out a construction measure, in particular a foundation engineering measure, with a construction device, in particular with a foundation engineering machine, which has a plurality of actuation elements and sensors for recording operating states relating to the actuation elements, and with a computer unit, by which recorded parameter values of the sensors are received when carrying out the construction measure. According to the invention provision is made in that for a construction measure a number of different defined process steps are stored, in that from one defined process step to at least one subsequent defined process step a transition takes place as a result of at least one exit rule, wherein to each exit rule at least one characteristic parameter value of at least one sensor is assigned, and in that the recorded parameter values of the sensors are checked as to the exit rules and, if they occur, a transition from an associated defined process step to a subsequent defined process step is detected.

A new methodology for describing business processes and permissible process variants is introduced. Additionally, an allowed system status and involved master data objects with read and change authorization can be defined for process step. If a user wants to run the defined process in a BPM product, the system connection may be made from an authorized central solution manager system (connected to all systems in a landscape) so it is possible to run predefined processes. As soon as a process step shall be executed, a central cloud service can be executed. The central cloud service can access and analyze selected objects. The execution system, which may be a completely different system than the system that defined the business process, can then execute an associated process step, and a process pointer will store the data in involved systems and set a new status.

The invention provides a method for arranging an agent process workflow, and belongs to the field of workflow arrangement. The method defines a service through an agent and arranges a workflow execution flow direction, and comprises the following steps: S1, selecting to access a self-defined process agent; s2, a flow starting operation related flow variable is introduced, and a flow starting flow is called; s3, judging whether flow starting is successful or not, and if yes, turning to S3; if not, whether the number of times of starting the execution process reaches a threshold value or not is judged, if yes, the step S5 is executed, and if not, the step S2S3 is executed, and the process is executed; s4, judging whether the process is executed successfully or not, and if yes, turning to S4; if not, whether the number of times of flow execution reaches a threshold value or not is judged, if yes, the step S5 is executed, and if not, the step S3 is executed again; s4, calling an API (Application Program Interface), and accessing an intelligent agent; and S5, ending. According to the method, a natural language-driven process is realized and a use threshold is reduced; and the flow process engine and the embedded architecture are decoupled, and the flow diagram is decoupled, so that the extensibility of the process service is improved.

The systems and methods disclosed herein monitor application (e.g., artificial intelligence (AI) model) operations using interactions between the application and a kernel. The systems and methods disclosed herein intercept, using a kernel interface, one or more function invocations transmitted from the application (e.g., an AI model without model modification). Event record(s) are generated for one or more functions to define process identifiers, resource interaction types, timestamps, and / or resource identifiers. Observed pattern(s) for the application are identified by comparing current event record(s) with previous record(s), and the identified observed pattern(s) are evaluated against reference pattern(s) to generate score(s). Data packet(s) that indicate observed pattern(s), corresponding score(s), and / or cryptographic digital fingerprint(s) of the one or more functions are generated. The data packet(s) are transmitted to distributed ledgers for immutable storage.

A method of controlling a computer process for designing or verifying a photolithographic component, the method including building a source tree including nodes of the process, including dependency relationships among the nodes, defining, for some nodes, at least two different process conditions, expanding the source tree to form an expanded tree, including generating a separate node for each different defined process condition, and duplicating dependent nodes having an input relationship to each generated separate node, determining respective computing hardware requirements for processing the node, selecting computer hardware constraints based on capabilities of the host computing system, determining, based on the requirements and constraints and on dependency relations in the expanded tree, an execution sequence for the computer process, and performing the computer process on the computing system.

The systems and methods disclosed herein monitor application (e.g., artificial intelligence (AI) model) operations using interactions between the application and a kernel. The systems and methods disclosed herein intercept, using a kernel interface, one or more function invocations transmitted from the application (e.g., an AI model without model modification). Event record(s) are generated for one or more functions to define process identifiers, resource interaction types, timestamps, and / or resource identifiers. Observed pattern(s) for the application are identified by comparing current event record(s) with previous record(s), and the identified observed pattern(s) are evaluated against reference pattern(s) to generate score(s). Data packet(s) that indicate observed pattern(s), corresponding score(s), and / or cryptographic digital fingerprint(s) of the one or more functions are generated. The data packet(s) are transmitted to distributed ledgers for immutable storage.

The systems and methods disclosed herein monitor application (e.g., artificial intelligence (AI) model) operations using interactions between the application and a kernel. The systems and methods disclosed herein intercept, using a kernel interface, one or more function invocations transmitted from the application (e.g., an AI model without model modification). Event record(s) are generated for one or more functions to define process identifiers, resource interaction types, timestamps, and / or resource identifiers. Observed pattern(s) for the application are identified by comparing current event record(s) with previous record(s), and the identified observed pattern(s) are evaluated against reference pattern(s) to generate score(s). Data packet(s) that indicate observed pattern(s), corresponding score(s), and / or cryptographic digital fingerprint(s) of the one or more functions are generated. The data packet(s) are transmitted to distributed ledgers for immutable storage.

The invention provides a disaster physical simulation test multi-dimensional scheme integrated definition method and system, and relates to the technical field of deep engineering disaster physical simulation and test scheme definition. Based on a technical architecture of process driving, sequence forcing, data linkage and space-time unification, a set of standardized definition process covering geological conditions, environment application, engineering activities and monitoring arrangement is constructed. By establishing a strict logic dependence and data transmission mechanism, it is ensured that subsequent steps must be executed on the basis of data generated by previous steps, randomness and discreteness in the scheme defining process are fundamentally eradicated, it is ensured that the systematicness, consistency and feasibility of a test scheme are integrally improved, and the test efficiency is improved. And a reliable basis is provided for physical simulation tests of deep engineering disasters.

The application discloses a spraying process parameter optimization method and system based on big data, and the method comprises data acquisition, calculation of parameter influence value, calculation of quality index correlation degree, reconstruction of correlation matrix, construction of neighborhood similarity matrix, optimization of membership matrix, and real-time process parameter optimization.The application belongs to the field of data processing, and specifically refers to a spraying process parameter optimization method and system based on big data.The scheme defines parameter node influence value, describes the level and attenuation characteristics of parameter influence, introduces a time factor to define process parameter combination similarity, objectively reflects the internal correlation of quality indexes based on quality index correlation degree, completes unverified correlation by reconstructing the correlation matrix, introduces a dynamic attenuation term, dynamically adjusts the attenuation degree according to the spraying process combination similarity, and avoids information loss, dynamically adjusts the similarity influence, and optimizes the neighborhood similarity weight, thereby improving the process parameter optimization effect.

The application discloses a kind of visual ETL process data processing method, device, computing device and storage medium.It is according to the technical scheme provided in the application, define process component, the function operator of the process component and process control expression;In the icon corresponding to the process component is combined in visual platform, constructs ETL process;According to the function operator of the process component and the process control expression, determine ETL process function expression;According to ETL process function expression, online ETL process.Through the application, ETL process can be constructed, and different dimensions in ETL process function expression are pre-checked, the ETL process is optimized from function operator, cyclomatic complexity and the like, simplifies ETL process function expression, greatly reduces the complexity of the ETL process and the probability of error, improves information expression efficiency, while monitoring ETL process by slicing preset mode, improves the maintainability of ETL process.

A process control system includes a plurality of field devices operating to control a process. A communication infrastructure couples the field devices to a software-defined control system (SDCS) that receives data from the field devices and transmits instructions to the field devices. A data cluster, executing the SDCS, includes a plurality of computing nodes, each of which includes a processor executing an operating system, a memory, and a communication resource coupled to one or more other computing nodes in the data cluster. First and second containers, each of which is an isolated execution environment, are instantiated on a first computing node within the operating system of the first computing node. The second container is instantiated within the first container. The first and second containers correspond to levels of a hierarchical structure of the SDCS.