Abstract: The present invention relates to a method of providing an individualized footwear for a user, operated in a computerized calculation system, the method comprising: obtaining one or more input data relating to the user, allocating the one or more input data to a plurality of attributes relevant to an individualized footwear, each of the attributes being associated with the one or more input data, calculating a parameter for each of the attributes using the one or more input data associated thereto, and providing individualized construction data for manufacture of the individualized footwear based on the calculated parameters of the attributes.

Abstract: A design and testing simulation scales an industrial simulation across multiple different processing nodes, and generates a unified view of the distributed industrial simulation based on simulation and graphics data collected from the multiple processing nodes. The system can allow the user to designate different portions of the a digital model of an automation system to be executed on respective different distributed processing nodes, such that each portion of the model is executed on its designated node and the nodes exchange data as necessary to simulate the aggregate automation system as a whole. In order to visualize this aggregated simulation, the design and testing system unifies the distributed portions of the model into a unified three-dimensional presentation at a single node, and this unified view is animated based on data received from the nodes on which the distributed simulation is executed.

Abstract: Systems and methods are provided for the realistic simulation of distributed systems, such as vehicle-based processing systems. A statistical property of message timestamps of a plurality of prior messages from one or more recorded processes is determined. During a simulation, messages that are generated are associated with timing data based on the statistical property from the recorded processes.

Abstract: Embodiments of forecasting hydrocarbon production are provided. One embodiment comprises transforming production data of a plurality of training wellbores and production data of at least one target wellbore such that the production data for all training wellbores and target wellbores are equivalent at the end of a first period of time; generating a transformed production forecast for each target wellbore at a target forecast time responsive to the transformed production data; and back transforming the transformed production forecast for each target wellbore to remove the equivalency. The back transformed production forecast for each target wellbore is the final production forecast for each target wellbore.

Abstract: The invention relates to a method for transferring a stress state of an FE simulation result to a new FE mesh geometry of a simulated construction system, such as a component for motor vehicles that has a 3-D shape, in a simulation chain of production operations, comprising: a) providing a first data set, which describes the FE simulation result with a stress state of the FE simulation of the construction system or component of a first production operation, b) creating the new FE mesh geometry of the simulated construction system or component, which new FE mesh geometry is associated with a second production operation, c) transferring the stress state of the provided first data set to the new FE mesh geometry of the construction system or component, d) performing an equilibrium calculation by using the stress tensor in the FE mesh geometry, wherein deformation of the construction system or component results, which deformation differs from the deformation in the FE mesh by a shape alteration u>tolerance val

Abstract: A machine learning method and a machine learning device are provided. The machine learning method includes: receiving an input signal and performing normalization on the input signal; transmitting the normalized input signal to a convolutional layer; and adding a sparse coding layer after the convolutional layer, wherein the sparse coding layer uses dictionary atoms to reconstruct signals on a projection of the normalized input signal passing through the convolutional layer, and the sparse coding layer receives a mini-batch input to refresh the dictionary atoms.

Abstract: In one embodiment, a method includes generating a simulated sensor based on performance features associated with a sensor. The method includes determining a placement indicator specifying a location and orientation of the simulated sensor on a vehicle in a virtual environment associated with the vehicle. The method includes simulating, based on the performance features associated with the sensor, behavior of one or more emissions originating from the simulated sensor in the virtual environment. For each emission, the simulating includes determining an interaction of the emission with one or more simulated objects in the virtual environment. The method includes providing a representation of a capability of the sensor based on the simulated behavior of the emissions.

Abstract: A heat exchanger network retrofit method including analysis, targeting and retrofitting an existing heat exchange network (HEN) to lower the annual operating cost. The revamped/retrofit design is based on one of two mathematical techniques: Simulated Annealing (SA) and Fixed Structure.

Abstract: A system and method are presented for optimizing choices of control parameters.

Abstract: Methods, systems, and apparatus, including medium-encoded computer program products, for computer aided design of physical structures using generative design processes, where the three dimensional (3D) models of the physical structures are produced in accordance with a design criterion that limits a minimum thickness of the generatively designed 3D models, include: obtaining a design space for an object to be manufactured and one or more design criteria including a thickness constraint; iteratively modifying a generatively designed 3D shape of the modeled object in the design space in accordance with the one or more design criteria, including measuring a current thickness for the 3D shape using an overall relationship of a volume of the 3D shape with respect to a surface area of the 3D shape; and providing the generatively designed model for use in manufacturing the physical structure using one or more computer-controlled manufacturing systems.

Abstract: Aiming at insufficient drying seafood on-board caused by hull swings, the present invention involves the establishment of location correction system for processing seafood transportation displaced by wind waves and anti-accumulation drying processing method. This invention employs CFD-DEM method to simulate the state and distribution of the material particles modulated by the deflector angle and wind speed. Finally, the optimized rotation angle of deflector and wind speed are obtained where material particles are equally distributed. Meanwhile, the uniform and fast drying of the marine products in the swinging hull are achieved. This invention shows the great advantages of high efficiency, automation and continuity.

Abstract: Three-dimensional master equation modeling for disordered semiconductor devices is provided. Charge transport is modeled as incoherent hopping between localized molecular states, and recombination is modeled as a nearest-neighbor process where an electron at a first location and a hole at a second location can recombine at either the first location or the second location. Here the first and second locations are any pair of nearest neighbor locations. We have found that this nearest neighbor recombination model performs substantially better than the conventional local recombination model where an electron and a hole must be at the same location to recombine. The recombination rate is modeled as a product of a prefactor ?, hopping rates and state occupancies. Importantly, we have found that sufficient simulation accuracy can be obtained by taking ? to be given by an empirically derived analytic expression.

Abstract: Model elements of an executable model, representing a physical system, are partitioned into one or more linear portions and one or more nonlinear portions. Simulating behavior of the physical system, by executing the model, includes, for each of multiple simulation time intervals, for a first nonlinear portion, computing a correlation matrix characterizing noise associated with one or more ports of the model. A scattering matrix corresponds to a portion of the physical system represented by the first nonlinear portion without accounting for any noise within the portion of the physical system. The correlation matrix is derived from the scattering matrix based on noise within the portion of the physical system. Noise sources representing noise within the portion of the physical system are identified based on the correlation matrix. At least one characteristic of noise associated with each noise source is computed, and noise characteristics are output at selected ports.

Abstract: A system and method are provided for simulating circuits that transmit bidirectional signals between some ports using simulators designed originally for electrical circuits and systems, that eliminate the need for different port interfaces. The system and method can be applied to simulate photonic circuits either standalone or integrated with electrical circuits and systems. In one method implemented by the system potential and flow representations, available for example in Verilog-A simulators, are used to create bidirectional signals on a single bus line to transmit optical signals. In another method implemented by the system, the system auto-configures each optical port type as left or right at runtime or during a pre-simulation initialization to allow for bidirectional signals with a single port interface.

Abstract: The present invention provides an interval error observer-based aircraft engine active fault tolerant control method, and belongs to the technical field of aircraft control. The method comprises: tracking the state and the output of a reference model of an aircraft engine through an error feedback controller; compensating a control system of the aircraft engine having a disturbance signal and actuator and sensor faults through a virtual sensor and a virtual actuator; observing an error between a system with fault of the aircraft engine and the reference model through an interval error observer, and feeding back the error to the error feedback controller; and finally, using a difference between the output of the reference model of the system with fault and the output of the virtual actuator as a control signal to realize active fault tolerant control of the aircraft engine.

Abstract: A laboratory automation device (10) includes a plurality of device components (14, 16), which are controlled by digital control commands (26). The digital control commands (26) are generated by a controller (20) of the laboratory automation device (10) from assay definition data (38) defining an assay procedure for the laboratory automation device (10).

Abstract: A process for digitally developing a new fabric and for developing a new fabric based on a physical property of the fabric and rather than a fabric construction. The process comprises selecting a desired physical property of the new fabric and selecting a fabric type. The process also includes using a fabric construction calculator to develop fabric construction parameters for the fabric, wherein the fabric has the desired physical property selected. The desired physical property is a selected softness factor of the fabric.

Abstract: A design engine generates a configuration option that includes a specific arrangement of interconnected mechanical elements adhering to one or more design constraints. Each element within a given configuration option is defined by a set of design variables. The design engine implements a parametric optimizer to optimize the set of design variables associated with each configuration option. For a given configuration option, the parametric optimizer discretizes continuous equations governing the physical dynamics of the configuration. The parametric optimizer then determines the gradient of an objective function based on the discretized equations the gradient of objective and constraint functions based on discrete direct differentiation method or discrete adjoint variable method derived directly from the discretized motion equations. Then, the parametric optimizer traverses a design space where the configuration option resides to reduce improve the objective function, thereby optimizing the design variables.

Abstract: Embodiments determine positioning of a mannequin. One such embodiment begins by determining a frame of a grasping element of a mannequin represented by a computer-aided design (CAD) model and determining a frame of an object to be grasped, where is object is also represented by a CAD model. To continue, degrees of freedom of the mannequin are specified and limits on the specified degrees of freedom are set. In turn, using an inverse kinematic solver, positioning of the mannequin grasping the object is determined based upon: (i) the determined frame of the grasping element, (ii) the determined frame of the object, (iii) the specified degrees of freedom, and (iv) the set limits on the specified degrees of freedom.

Abstract: A method and system for outputting a state of a physical system using a calibrated model of the physical system, where the calibrated model is used to generate a model prediction. The system includes a plurality of sensors connected to a routing node are used to monitor measured data of the physical system. A first sensor of the plurality of sensors includes a logic module configured to determine an uncertainty quantification, and to combine the uncertainty quantification with the model prediction to output the state of the physical system.