Abstract: A model including a first co-simulation component and a second co-simulation component is analyzed. During execution of the model, the first co-simulation component outputs data to the second co-simulation component via a connection. The connection is declared as a continuous-time rate connection for input of the data into the second co-simulation component. Based on analyzing the model, the connection is identified as a discrete-continuous sample time connection based on data being communicated from the first co-simulation component to the second co-simulation component via the connection at a discrete-time rate when the model is executed in a co-simulation manner.

Abstract: A method and system for analyzing the error of a measurement domain based on a single load jump and a computer-readable storage medium are provided. According to the method and the system, high-density measurement is performed on the load of a master meter and sub-meters in a measurement domain for a long time to obtain massive load data. After that, based on a single load jump, a load measurement difference of the master meter before and after the jump, and a load measurement difference of a jumping sub-meter before and after the jump are obtained. The error deviation degree of the jumping sub-meter relative to the master meter is uniquely defined. After statistical data of error deviation degrees of all the sub-meters relative to the master meter is obtained, error analysis is performed on the whole measurement domain based on the statistical data.

Abstract: Systems, methods and computer program products leveraging digital twin modeling and cognitive computing to predict lubrication replacement for a physical asset. Predictions of lubrication replacement consider one or more various parameters such as operating conditions, usage parameters, the surrounding environment, overall health and state of repair of the physical asset, lubricant properties and historically collected data from the physical asset (or similarly comparable assets). Timing for optimal lubrication replacement is identified using the collected data of the physical asset, along with historical data, to simulate changes in a state of lubricants and lubricated parts within a physical asset using digital twin modeling to make predictions how one or more actions upon the physical asset impact the health, stability and/or longevity of the lubricant's lifespan.

Abstract: In some embodiments, techniques for creating fabricable segmented designs for physical devices are provided. A proposed segmented design is determined based on a design specification. The proposed segmented design includes a plurality of segments that each includes an indication of a material for the segment. The proposed segmented design also includes lattice members and lattice voids. A size of the lattice members and a size of the lattice voids are greater than a size of the segments and are greater than or equal to at least one of a minimum feature width and a minimum feature spacing of a fabrication system Performance of the proposed segmented design is simulated. One or more lattice members and lattice voids are chosen to change to improve the performance of the proposed segmented design.

Abstract: A model-based engineering system (MBSE) tool includes functionality for sharing an MBSE model with multiple outside vendors using multiple versions of the MBSE model. A restricted version of the MBSE model is managed by a model maker (or other user with access rights) inside of an organization includes all of the model's engineering elements. The engineering elements are tagged with metadata that is analyzed to determine which elements are shareable and which are unshareable outside of the organization. An unrestricted version of the MBSE model is then created, either directly from the restricted version or through an intermediary version (referred to as the “stripped version”), to include only shareable engineering elements. This unrestricted version may then be shared with the outside vendors, and changes made by either in the restricted or unrestricted versions may be incorporated in the other versions, providing a truly collaborative MBSE experience.

Abstract: A model predictive maintenance (MPM) system for building equipment. The MPM system includes an equipment controller configured to operate the building equipment to affect a variable state or condition in a building. The MPM system includes an operational cost predictor configured to predict a cost of operating the building equipment over a duration of an optimization period. The MPM system includes a budget manager configured to generate one or more budget constraints. The MPM system includes an objective function optimizer configured to optimize an objective function subject to the one or more budget constraints to determine a maintenance and replacement schedule for the building equipment. The objective function includes maintenance and replacement costs of the building equipment and the predicted cost of operating the building equipment.

Abstract: Disclosed embodiments include methods and systems for classifying test data. In one embodiment a method includes determining one or more variable types in a multivariate test vector within a data set, and for a plurality of machine-learning models, determining a closest match between variable types used by (to train) the machine-learning models and the determined variable types for the test vector. In response to determining a closest match for one machine-learning model, a corresponding machine-learning model is selected and the test vector is classified using the selected model. In response to determining a closest match for multiple machine-learning models, a similarity is determined between a probability distribution for the test data set and the probability distributions for the multiple machine-learning models to generate similarity values for each of the models.

Abstract: To facilitate backwards compatibility, a computing device may respond to a call from an application for information regarding a processor on the computing device by returning information regarding a different processor than the processor on the computing device, including one or more of processor model, processor family, cache capabilities, translation lookaside buffer capabilities, processor serial number, processor brand, processor manufacturer, thread/core topology, cache topology, extended features, virtual address size, or physical address size that differs when the processor determines that the application is a legacy device application.

Abstract: A method for implementing a component design model includes defining a component design specification, defining at least one variation mode parameter of a component manufacturing process, constructing a parametric model relating the at least one variation mode parameter to the component design specification, determining an expected component output based on the parametric model and comparing the expected component output to at least one as-manufactured component, and defining the parametric model as accurate in response to the expected output component matching the at least one as-manufactured component within a predefined degree of accuracy.

Abstract: Systems and methods for simulating a circuit board design include receiving a printed circuit board design comprising an electronic component and a dielectric board, generating a first finite element model of the dielectric board independent of the electronic component, and generating a second finite element model for the electronic component. The method further includes combining the first finite element model with the second finite element model to obtain a final finite element model for the printed circuit board design.

Abstract: In an approach, a processor obtains a target base strategy for selecting actions of a target agent. A processor obtains an adversarial base strategy for selecting adversarial actions of an adversarial agent. A processor calculates, for each candidate action among a plurality of candidate actions of the target agent, a risk measure of the candidate action based on the adversarial base strategy and a payoff to the target agent in a case where the target agent takes the candidate action and the adversarial agent takes an adversarial action based on the adversarial base strategy. A processor generates a target strategy by adjusting the target base strategy based on the risk measure for each candidate action.

Abstract: Implementing a circuit design within an integrated circuit can include converting the circuit design, specified in a hardware description language, into a data flow graph and creating range set data structures in a memory. The range set data structures correspond to nodes of the data flow graph. Each range set data structure can be initialized with a range of values the corresponding node can take as specified by the circuit design. The method can include determining actual values the nodes are capable of taking by propagating the values through the data flow graph. The range set data structures are updated to store the actual values for the corresponding nodes. The method also can include modifying a selected node of the data flow graph based on the actual values stored in the range set data structure of the selected node and semantics of the selected node.

Abstract: Example embodiments relate to a method for modeling power consumption of an integrated circuit, the method may comprise, determining, by the processor, a hierarchy structure regarding a gating level according to a clock flow of a plurality of clock gating cells included in the integrated circuit, determining, by the processor, a first clock gating domain corresponding to a first clock gating cell and a second clock gating domain corresponding to a second clock gating cell located in a lower level of the hierarchy of the first clock gating cell based on the hierarchy structure, calculating, by the processor, power consumption of the second clock gating domain based on a first logic level of a first clock gating enable signal applied to the first clock gating cell, and modeling, by the processor, power consumption of the integrated circuit based on the power consumption of the second clock gating domain.

Abstract: An automatic work order generation system for model predictive maintenance (MPM) of building equipment including an MPM system including an equipment controller to operate the building equipment to affect an environmental condition of a building. The MPM system can perform a predictive optimization to determine a service time at which to service the building equipment. The automatic work order generation system includes an equipment service scheduler that can determine whether any service providers are available to perform equipment service within a predetermined time range of the service time. In response to determining that service providers are available to perform the equipment service, the equipment service scheduler can select a service provider and an appointment time based on one or more service provider attributes. The equipment service scheduler can generate a service work order and transmit the service work order to the service provider to schedule a service appointment.

Abstract: A computer-implemented method, computer program, system and apparatus for computing a thermal thickness and providing pre-manufacturing feedback on a design of a three-dimensional physical object that is to be formed by solidification of a fluid in a mold. An equation is solved, representing heat release through the cavity-mold interface when the object is formed. The thermal thickness and its uniformity provide insight in the manufacturability of the object, and may be used to automatically generate pre-manufacturing feedback. The thermal thickness and pre-manufacturing feedback are transmitted or displayed to a user.

Abstract: Embodiments are directed to managing file systems over a network. A core specification that defines characteristics of a portion of a file system and parameters may be provided. The characteristics may include one or more storage device characteristics. And, the parameters may include one or more of a cluster size, or a protection level. File system models may be generated based on the core specification and the parameters. Each file system model may correspond to a file system that conforms to a core specification and specific values for the parameters. A simulation engine may be employed to provide simulation results based on the file system models. Deployment models may be generated based on the simulation results. The deployment models may be employed to provision file systems that conform to the file system performance characteristics associated with its corresponding deployment model.

Abstract: A control device and a monitoring system of a manufacturing device, capable of enabling an external device to acquire data easily without grasping a configuration of the control device having a plurality of function control units. A control device of a manufacturing device includes a display function control unit and a control function control unit. The display function control unit includes a data model generation unit, and the control function control unit includes a data model generation unit. The display function control unit includes: a data model acquiring unit that acquires a data model generated by the data model generation unit of the control function control unit; and a data model integration unit that integrates a data model generated by the data model generation unit of the display function control unit with a data model of the control function control unit acquired by the data model acquiring unit.

Abstract: A machining simulator that virtually executes a CNC program to simulate a machining result, includes: a 3D model generating unit that virtually executes a plurality of CNC programs to generate a 3D model from respective machining results obtained; a reference position specifying unit that specifies a predetermined coordinate common to a generated plurality of 3D models as a reference position; a superimposed model generating unit that generates a superimposed model in which a plurality of 3D models is superimposed at the reference position; a finite difference model generating unit that generates a finite difference model obtained by taking a finite difference of the 3D models included in the superimposed model generated; and a display control unit that controls display of at least one of the superimposed model generated and the finite difference model.

Abstract: An automatic parts resupply system for building equipment including a model predictive maintenance system configured to determine a service time at which to perform service on the building equipment by performing a predictive optimization of a total cost of operating and servicing the building equipment over a time period. The service time is a decision variable in the predictive optimization. The automatic parts resupply system includes a resupply manager. The resupply manager is configured to generate a parts resupply order for the building equipment based on a result of the predictive optimization. The resupply manager is configured to determine a transmission time at which to transmit the parts resupply order to a parts supplier. The resupply manager is configured to transmit the parts resupply order to the parts supplier at the transmission time.

Abstract: The present invention relates to a method and a system for processing building energy information. The method includes the following steps: inputting data of a building information model into building energy simulation software; automatically selecting a building category or manually selecting a building category from a group of building categories provided by the building energy simulation software; in response to the selected building category, inputting a plurality of parameters into a lookup table of the building energy simulation software in accordance with a database of the building energy simulation software; and generating an estimation of a building's energy consumption through a calculation by the building energy simulation software based on the parameters.