An information processing apparatus is equipped with an input unit which inputs a first self-transfer function which is acquired by measuring a response at an evaluation point to an input from the evaluation point and each first transfer function which is acquired by measuring a response between the respective connection points to the input, a first estimation unit which estimates each second self-transfer function by using the first self-transfer function and each first transfer function, a first calculation unit which calculates an element vector of each connection point on the basis of each second self-transfer function which has been estimated by the first estimation unit, a second estimation unit which estimates each second transfer function between the connection points on a vector space by using the element vector of each connection point, and a construction unit which constructs a third transfer function by using each second self-transfer function and each second transfer function.

In one embodiment, a tangible, non-transitory computer readable medium stores instructions that, when executed by a processor, are configured to cause the processor to receive a first set of inputs including a motion profile of a machine, a mechanical design of the machine, or both, generate a number of axis solutions for one or more actuators, drives, and load transmission components based on a model using the first set of inputs, generate a production rate versus amount of energy consumed per part curve for each of the number of axis solutions, and display the production rate versus amount of energy consumed per part curves for each of the number of axis solutions. One of the curves includes a point on the curve indicative of a lowest amount of energy consumed for a desired production rate range.

A system for monitoring and analyzing data in a distributed process control system is provided. The system includes a user interface having a set of user controls for selecting and configuring data blocks to create a data diagram representing a data model. The data blocks are associated with data operations, such as data analytics functions, and may be configured by the user for particular instances of general blocks. The data blocks are interconnected by wires conveying outputs or inputs of the blocks, which may also connect data sources to the data blocks. The data sources may include on-line data (i.e., data streams) or off-line data (i.e., stored data) from the process control system. Additional user controls may be used to evaluate the data diagram or convert the data diagram from an off-line to an on-line version.

The present disclosure relates to systems, non-transitory computer-readable media, and methods for providing a secure development environment for developing computer models by utilizing an exploration environment in conjunction with a production environment. In particular, the disclosed systems provide a method for a client account to develop machine learning models securely and efficiently (e.g., access, generate, train, and activate) by utilizing a scalable exploration environment isolated from a production environment. Further, the disclosed systems can provide a system for the client account to utilize to convert the exploration model to a production model and activate the production model within the production environment. In this way, the disclosed systems provide a separation between the exploration environment and the production environment when testing models and thus constrain the impact of testing models to the production environment.

A process and machine for designing an assembly of solid models, comprising non-manifold solids, of a product, the assembly comprising: parts, part-usages of the parts in higher-level assemblies, and part-occurrences for the parts in hierarchical classifications by part types and comprising physical and functional ports as interfaces between uses of the parts in the assembly, the process comprising: transforming a computer system to a logical reasoning system comprising a logical mechanism, for traversing: ports of the parts, uses of the ports, and a connected port in the assembly of the product, fully connected with the parts and non-manifold solid models; traversing and determining for the non-manifold solids: parts, part-usages, part-occurrences, ports, and part types of the assemblies, such that each of corresponding adjacent: parts, part-usages, part-occurrences, ports, and part types are counted exactly once in the traversing; generating manufacturing instructions for and based thereon manufacturing the product.

Methods, apparatus, and processor-readable storage media for automatically migrating process capabilities using AI techniques are provided herein. An example computer-implemented method includes determining, for a process of an enterprise, process requirements by analyzing data related to the process and data related to the enterprise; generating a recommendation of process capabilities to be incorporated into the process by processing, using AI techniques, the analyzed data; forecasting behavior of the process in conjunction with portions of the recommended process capabilities by performing simulations of the process incorporating the portions of the recommended process capabilities; developing modified versions of the process, based on the forecasting, by migrating feature sets into portions of code associated with the process; testing the modified versions of the process by performing simulations of the modified versions; and deploying at least one of the modified versions of the process based on the testing.

A line designing device including a calculation unit and a storage unit, in which the storage unit holds facility information indicating a specification of each module, process design information indicating a component for manufacturing a product, work on the component, and a module used for the work, standard module information indicating a type of each of the modules and another module attachable thereto, and inter-module connection information indicating a connection specification between the modules, the module includes at least one of a facility and a device used for the work, and the calculation unit generates line configuration information identifying the module constituting a manufacturing line for manufacturing the product and connection between the modules based on the facility information, the process design information, the standard module information, and the inter-module connection information, and outputs information indicating a module constituting the manufacturing line and connection between the modules based on the line configuration information.

A system for monitoring and analyzing data in a distributed process control system is provided. The system includes a user interface having a set of user controls for selecting and configuring data blocks to create a data diagram representing a data model. The data blocks are associated with data operations, such as data analytics functions, and may be configured by the user for particular instances of general blocks. The data blocks are interconnected by wires conveying outputs or inputs of the blocks, which may also connect data sources to the data blocks. The data sources may include on-line data (i.e., data streams) or off-line data (i.e., stored data) from the process control system. Additional user controls may be used to evaluate the data diagram or convert the data diagram from an off-line to an on-line version.