Abstract: A method includes constructing a digital model of a porous rock sample using input data and establishing for the digital model of a porous rock sample and for a fluid of interest figures-of-merit that are established for full-sample dimensions. For a selected fluid flow model, the method performs a calibration so as to match parameters of the selected fluid flow model to the established figures-of-merit and, based on the calibrated fluid flow model, performs at least one simulation of a flow of the fluid through the digital model of a porous rock sample with a fluid additive to provide a predicted enhanced fluid recovery efficiency. Also disclosed is a system as well as a computer program product configured to implement the method.

Abstract: A system for calculating total lifecycle costs for a building energy management system includes lifecycle costs for a grid-scale battery system. The system includes a battery lifecycle optimizer configured to provide an optimal battery configuration for a building and a building energy system controller. The building energy system controller receives optimum battery configuration information, information relating to the heat ventilation air conditioning system of the building, intrinsic thermodynamic properties of the building, energy tariff schedules and weather forecast data to forecast a monthly peak demand profile. A simulation is run using a battery model, system model along with tariff and weather information to produce an hourly building energy management plan for minimizing overall energy costs with consideration of system lifecycle costs.

Abstract: Embodiments of systems and approaches for managing post-harvest crop quality and pests are described. Such a system may include a plurality of edge devices each comprising sensor components and collectively forming a mesh network, for measuring the local physical environment within stored crops and, for example, transmitting the measurements to a service from within the crop storage area. In certain embodiments, such a system may be used to manage post-harvest crops and storage areas—for example, approaches are described for determining fumigation treatment duration, determining phosphine dosage, determining heat treatment duration, and determining safe storage time for crops.

Abstract: A system and method for solving linear complementarity problems for rigid body simulation is disclosed. The method includes determining one or more contact constraints affecting an original object having an original mass. The method includes splitting the original object by a total number of the contact constraints into a plurality of sub-bodies. The method includes assigning a contact constraint to a corresponding sub-body. The method further includes solving contact constraints in isolation for each sub-body. The method also includes enforcing fixed joint constraints exactly, such that positions and orientations of each sub-body are identical.

Abstract: A system, method and device employs sensor arrangements and an e-system in designing, manufacturing, and monitoring custom human-interfacing devices.

Abstract: A method of predicting electrostatic charges in a liquid container is provided. The method includes generating a computer geometric model of the liquid container according to a design of the liquid container and generating executable code to reproduce fluid dynamics and electrostatic charge conservation during transfer of liquid into the liquid container. The method includes executing a simulating application to at least: perform a simulation of the transfer of liquid into the liquid container subject to the fluid dynamics and electrostatic charge conservation to produce a prediction of electrostatic charges in the liquid container during the transfer of liquid; and iterate the simulation to update the electrostatic charge conservation. The method includes outputting the prediction of electrostatic charges in the liquid container to enable certification of the design of the liquid container.

Abstract: A method for emulating a three-phase electric motor using a load emulator, wherein the load emulator is connected in a three-phase manner via its load terminals to the supply terminals of a motor controller. The load emulator has emulator power electronics and an emulator controller for controlling the emulator power electronics. The emulator controller determines the supply terminals that are driven by the motor controller and the supply terminals that are not driven. The emulator power electronics are driven by the emulator controller in such a manner that phase currents calculated by the emulator controller on the basis of a motor model flow in the supply terminals that are driven by the motor controller. A phase voltage calculated by the emulator controller on the basis of a motor model is applied to the supply terminal that is not driven by the motor controller.

Abstract: A device configured to emulate a correlithm object flip-flip logic gate comprises a memory and a logic engine. The memory stores a flip-flop logic gate truth table that comprises input logical values, a state input logical value, a set/reset input logical value, and output logical values. These logical values are represented by correlithm objects. The logic engine receives the state input and the set/reset inputs and determines an appropriate output based on a determination of Hamming distances between the inputs and the logical values in the truth table.

Abstract: A system for acceptance testing includes a data acquisition system operable to receive a plurality of sensor inputs from a component under test. The system also includes a health and usage monitoring system (HUMS) interface operable to receive data from a HUMS coupled to the sensor inputs. The system further includes a data processing system operable to determine a plurality of condition indicators based on the sensor inputs acquired by the data acquisition system, receive a plurality of HUMS data from the HUMS interface based on the sensor inputs, compare the condition indicators to the HUMS data, and output a test result based on results of the comparison.

Abstract: A method for efficient use of a computing system of parallel processors to perform inversion of geophysical data, or joint inversion of two or more data types. The method includes assigning at least one control processor to control sequence of operations and reduce load imbalance, assigning a group of one or more processors dedicated to updating one or more model parameters, and assigning another group of one or more processors dedicated to forward modeling simulated data.

Abstract: Systems and methods are provided for performing a fast simulation using test parameter vectors as inputs. The method includes retrieving precomputed samples from a sample repository stored in a non-volatile memory, the precomputed samples being precomputed using a simulated model, predetermined parameter vectors, and random inputs; storing respective subsets of the precomputed samples in local memories of a plurality of respective hardware processors; storing the test parameter vectors in the local memories of the hardware processors; at each of the hardware processors, selecting a subset of the precomputed samples stored in the local memory of the hardware processor based on the test parameter vectors, computing test samples by executing the simulated model using the test parameter vectors and the random inputs; and combining the subset of the precomputed samples and the test samples to produce a simulation result.

Abstract: Conventional systems for monitoring pipe networks are generally not scalable, impractical in the field with uncontrolled environments or rely of static features of pipes that are vary depending on the pipes under consideration. The ideal sensor-ed monitoring systems are not economically viable. Systems and methods of the present disclosure provide an improved data-driven model to rank pipes in the order of burst probabilities, by including dynamic feature values of pipes such as pressure and flow that depends on network structure and operations. The present disclosure enables estimating approximate values for the dynamic features since they are hard to estimate accurately in the absence of a calibrated hydraulic model. The present disclosure also validates the estimated approximate dynamic feature values for the purpose of estimating bursts likelihood vis-a-vis accurate values of the dynamic metrics.

Abstract: A system is provided for obtaining a landscape design pattern based on selected landscape design elements in a landscape design system having landscape design patterns comprised of at least two of said landscape design elements. The system stores multiple landscape design elements in a storage device, enables a user to select a plurality of landscape design patterns each of which includes a plurality of landscape design elements, matches the landscape design elements in the selected landscape design patterns with stored landscape design patterns, and renders the selected landscape design patterns using stored landscape design elements. The system preferably stores photographs of the multiple landscape design elements, and retrieves and displays photographs of the matched landscape design elements. In one implementation, a unique mnemonic code is assigned to each of the stored landscape design elements.

Abstract: Systems and methods are provided for simulating an electrical characteristic of an electronic device having input ports and output ports. A device frequency response data structure is accessed that contains data associated with a plurality of port-to-port frequency responses of the electronic device, each port-to-port frequency response being associated with a plurality of frequencies. A QR decomposition is performed based on data from the frequency response data structure. A subset of the port-to-port frequency responses is selected based on the QR decomposition. A set of common poles is identified using the selected subset of port-to-port frequency responses, and a model of time domain behavior of the electronic device is generated using the set of common poles.

Abstract: A circuit is simulated by using system or network tearing to obtain a real solution. The circuit may be an entire integrated circuit, portion of an integrated circuit, or a circuit block. A circuit simulation technique of the invention generates a system graph, finds a tree, and partitions the tree into two or more subtrees. The technique identifies global links and local links in the graph. Each subtree may be solved individually using distributed, parallel computing. Using the results for the subtrees, the technique obtains a real solution, branch voltages and currents, for the circuit.

Abstract: A steam using facility in which a generated condensate amount changes in association with a change in an environmental state value, based on a correlation between the environmental state value and the generated condensate amount. An environmental state value when the generated condensate amount becomes a set alarm amount is set as an alarm state value. An alarm is issued when an actual environmental state value by a measuring instrument changes in an increasing direction of the generated condensate amount to reach the set alarm state value.

Abstract: A method for obtaining a relation between a winding state and a leakage reactance parameter of a transformer by using simulation software is provided. The method includes: establishing a simulation transformer based on a size of a physical transformer; setting parameters of the simulation transformer, setting a winding of the simulation transformer in a predetermined winding state; obtaining a predetermined number of values of a leakage reactance parameter of the simulation transformer in the winding state; and performing statistics on all the values to obtain a value range of the leakage reactance parameter in a case that the winding is in the winding state. The value range is used as a value range of a leakage reactance parameter of the physical transformer in a case that a winding of the physical transformer is in the winding state.

Abstract: A computer-implemented method and system creates a multi-element feature in a three-dimensional (3D) computer-aided design (CAD) model. A first element and a second element are selected to include in the multi-element feature. A single sketch is created comprised of sketch entities, a subset of which defines the first element and another subset of which defines the second element. A connection entity is included in the single sketch. The connection entity joins the first and the second elements. A modeling operation applied to the single sketch creates the multi-element feature.

Abstract: This disclosure involves verifying that a power network model corresponds to an electric power network providing electrical power in a geographical area. For instance, a validation device computes a validation score for a power network model based on a connectivity score, an asset score, and a power-flow score. The connectivity score indicates connectivity errors in the power network model as compared to the power network. The asset score indicates power-delivery errors in the power network model with respect to power-consuming assets serviced by the power network. The power-flow score indicates power-flow calculation errors in the power network model with respect to voltage ranges for the power network. The validation score is repeatedly computed for iteratively updated versions of the power network model until a threshold validation score is obtained. The validated power network model is provided to a control system for identifying and correcting errors in the power network.

Abstract: A method, system and product for determining transient error functional masking and propagation probabilities. An Error Infliction Probability of pair of nodes (source and destination) is representative of a Transient Error happening on a source node propagating to the destination node. The probability is computed by simulating a propagation of a transient error for plurality of cycles in a given trace. The simulation utilizes values from the trace for nodes that are not influenced by the error (but may influence its propagation). A plurality of cycle-simulations may be performed and a ratio of a number of times the transient error propagated to the destination node compared to a number of cycles examined may be used to compute the error infliction probability.