Abstract: The present invention provides a transfer line exchanger which is optimized for one or more objective functions of interest such as pressure drop, erosion rate, fouling, coke deposition and operating costs. The transfer line exchanger is designed by computer modeling a transfer line exchanger in which the cross section of flow path is substantially circular and modeling the operation of the transfer line under industrial conditions to validate the model design and its operation. Then iteratively the model design is deformed and the operation of the deformed part is modeled and compared to values obtained with other deformed models until the value of the objective function is optimized (e.g. at an extreme) or the change in the objective function is approaching zero.

Abstract: A method of augmenting a reliability model of products including a particular product in use by an end user. The particular product includes a first component and a second component each having component attributes. The method also includes receiving first data of the first component and second data of the second component generated during use of the particular product by the end user and comparing the first data to the second data. The method also includes identifying a measure of compatibility between the components, determining pairing data based on the measure of compatibility, and applying a set of pairing rules to the pairing data. The method further includes modifying the reliability model based at least in part on the application of the pairing rules to the pairing data to generate an augmented reliability model and initiating one or more actions in association with the augmented reliability model.

Abstract: A system can include a processor; memory operatively coupled to the processor; and processor-executable instructions stored in the memory to instruct the system to: receive a marker on a well log for a well in a geographic region; and iteratively propagate the marker automatically to a plurality of well logs for other wells in the geographic region.

Abstract: Methods, systems, computer-readable media, and apparatuses for performing, providing, managing, executing, and/or running a spatially-optimized simulation are presented. In one or more embodiments, the spatially-optimized simulation may comprise a plurality of worker modules performing the simulation, a plurality of entities being simulated among the plurality of worker modules, a plurality of bridge modules facilitating communication between workers and an administrative layer including a plurality of chunk modules, at least one receptionist module, and at least one oracle module. The spatially-optimized simulation may be configured to provide a distributed, persistent, fault-tolerate and spatially-optimized simulation environment. In some embodiments, load balancing and fault tolerance may be performed using transfer scores and/or tensile energies determined among the candidates for transferring simulation entities among workers.

Abstract: Methods, computing systems, and computer-readable media for determining flow control device settings.

Abstract: An optimization method includes: identifying, for each of a plurality of replicas each of which has a plurality of state variables, an amount of change in strength of interaction that corresponds to a change in a distance between the replica and another replica in a state space in a case where a value of a first state variable among the plurality of state variables of the replica is updated, the state space indicating a space which a combination of values of the plurality of state variables is able to take; and determining whether or not to update the value of the first state variable, based on a proposal probability that corresponds to the amount of change in the strength of interaction in the case where the value of the first state variable is updated and based on an acceptance probability that corresponds to a target probability distribution.

Abstract: Systems and methods simulation of an ego vehicle using deterministic agents may include obtaining a set of deterministic agents for the simulation of the ego vehicle; executing the simulation of the ego vehicle using deterministic agents of the set of deterministic agents to provide simulated traffic in the simulation; determining and outputting a current state of the simulation; determining an agent action based on the determined current state; and requesting an update of a deterministic agent of the set of deterministic agents based on the determined agent action.

Abstract: A computer-implemented method includes receiving design and/or engineering data (D/E data) corresponding to a prototype representation of a product and transmitting one or more inputs derived from the D/E data to one or more digital engineering tools for processing. The method also includes receiving engineering-related data outputs from the one or more digital engineering tools and receiving data corresponding to one or more common validation and verification (V&V products). The method further includes identifying one or more requirements for the product based on the data corresponding to the one or more common V&V products; determining whether or not the one or more requirements have been satisfied; and presenting information corresponding to the engineering-related data outputs and/or the data corresponding to the one or more common V&V products. The method also includes receiving instructions from the user device, and performing one or more manipulations of the D/E data.

Abstract: [Problem] To provide design support useful for hardware implementation of a neural network. [Solution] Provided is an information processing device including a control unit that controls presentation of information related to an optimization structure when at least a part of a network structure of a designed neural network has been optimized for hardware processing. Provided is an information processing method including a step of controlling, by a processor, presentation of information related to an optimization structure when at least a part of a network structure of a designed neural network has been optimized for hardware processing.

Abstract: A plant operation support system supports an operation of a plant. The plant operation support system includes a fluctuation prediction device configured to predict a fluctuation of an element which is input to the plant, and a simulation device configured to simulate a behavior of the plant using a fluctuation of the element predicted by the fluctuation prediction device and data which is obtained from the plant.

Abstract: Design parameters for PDC drill bit including in-cone depth of cut controllers (DOCCs) are correlated to instances of coupled vibrations in the axial, lateral, and torsional directions occurring during downhole drilling. Design parameters are quantified by drilling efficiency (DE), average in-cone DOCC contact area, average weight on bit (WOB) taken off by in-cone DOCC, and average torque on bit (TOB) taken off by in-cone DOCC. Design guidelines to mitigate coupled vibrations are generated by correlating design parameter quantifiers and instances of coupled vibrations. Potential drill bit designs are then validated against the generated guidelines in order to mitigate vibration in future drilling runs.

Abstract: The disclosure relates to the field of power electronic technology, and discloses an electrothermal co-simulation method, system and terminal for the power electronic system, comprising the following steps: carrying out electrical simulation on the power semiconductor device and its power circuit, and junction temperature simulation on the power semiconductor device; acquiring real-time electrical parameters in the electrical simulation process; suspending the electrical simulation in a steady state until the steady state of the electrical simulation is changed; and calculating the junction temperature according to the real-time electrical parameters and in combination with the real-time loss of the power semiconductor device in the electrical simulation process. The disclosure dynamically controls the electrical simulation state, thereby reducing the calculation amount in the simulation process and achieving the purpose of accelerating the simulation convergence.

Abstract: Fast simulation of a scenario (e.g., simulating the scenario once as opposed to multiple times) to determine performance metric(s) of a configuration of one or more components of an autonomous vehicle may include training a perception error model based at least in part on a difference between a prediction output by a perception component associated with a future time and a perception output associated with that future time once that future time has arrived. A contour or heat map output by the perception error model may be used to determine one or more performance metric(s) associated with a component of the autonomous vehicle and identify which component may cause a degradation of a performance metric.

Abstract: An object to provide a press-forming method that can efficiently suppress springback and easily specify a position where a springback reduction effect by rigidity improvement is large, and the press-forming method used in producing a press-formed product having a predetermined shape by press-forming a sheet material, the method including: a first process that repeatedly performs a springback analysis, while changing a position to be restricted, to specify a position where a springback reduction effect by rigidity improvement is large; a second process that performs a rigidity improvement measure on a position of the sheet material corresponding to the position of the formed-product model specified in the first process; and a third process that produces the press-formed product by press-forming the sheet material on which the rigidity improvement measure has been performed.

Abstract: A tuning method for a clutch temperature estimation model may include, generating n tuning genes, calculating a tuning value corresponding to a tuning variable by using information of each of the n tuning genes, calculating a temperature estimation accuracy by applying the calculated tuning value to the clutch temperature estimation model, extracting n tuning genes of highest calculated accuracies, and regenerating m tuning genes through recombination of the extracted n tuning genes.

Abstract: Apparatuses, methods, and systems for increasing a spatial resolution of gridded spatial-temporal data on weather and climate-related physical variables are disclosed.

Abstract: A method of automatically generating AutoCAD drawings includes: generating a data sheet by using only input data which is necessary for generating drawings of a heat exchanger and obtained from strength calculation data provided by a strength calculation program; loading the data sheet by a loading unit; and generating AutoCAD drawings of the heat exchanger by activating an automatic AutoCAD drawing generation interface by a user's selection, the automatic AutoCAD drawing generation interface being activatable only after the data sheet may be loaded, wherein the input data includes both machine data and thermal data.

Abstract: A method for controlling the course of a signal flow-based computer program having interconnected software components and at least one DF loop. The following method steps are performed: a) identifying the at least one DF loop and the DF components, each DF component instantaneously imaging at least one DF input signal present at at least one component input onto at least one output signal present at at least one component output, b) determining the maximum possible change of the values of the DF input signals for each unit of time from at least one property of the respective DF input signal, c) activating a delay element in front of the component input where a DF input signal is present whose value has the smallest maximum possible change, and d) running the computer program in accordance with the connection of the software components ascertained in steps a) to c).

Abstract: An optimization method executed by a computer upon attempting to solve a ground state of an Ising model by simulating a state change of the Ising model when a magnetic field applied to the Ising model is reduced, the Ising model representing a problem to be solved, the method including: executing a first process, the first process being a real time propagation in which an intensity of the magnetic field is reduced with progress of time in simulation; and in response to the progress of time in the real time propagation of the first process, executing a second process, the second process including reducing energy of the Ising model based on an imaginary time propagation method.

Abstract: Apparatuses, methods, and systems for generating simulations of physical variables of a physical system are disclosed. A method includes fusing observation data and numeric simulation data. The fusing includes preprocessing the observational data and the numeric simulation data to remove inconsistencies of the observational data and the numeric simulation data, processing the preprocessed observational data and the numeric simulation data to extract interpretable structures and patterns within that data using ground truth and labeled information to create domain interpretable data, normalizing the preprocessed observation data, the numeric simulation data, and the domain interpretable data layers.