Abstract: A method may include obtaining historical irradiance data for each of a first and second locations, each of the first and the second locations including first and second solar power generating devices respectively, and forecasting irradiance at the first and the second locations as a first and a second forecast respectively. The method may also include determining a first and a second confidence interval of the first and the second forecasts respectively, the first and the second confidence interval based on the first historical irradiance data and the first forecast and the second historical irradiance data and the second forecast respectively, and modeling covariance between the first and the second confidence intervals. Based on the modeled covariance, the method may include developing an aggregated forecast of irradiance, and sending a message to a device to modify power generation.

Abstract: Characteristics of a reinforced concrete structure are received. FEA model is created in a computer system accordingly. FEA model contains solid elements defined solid nodes and beam elements defined by master beam nodes. Beam elements representing reinforcing steel bars are embedded inside solid elements representing concrete. Each beam element straddles one or more solid elements. Slave beam nodes along the at least one beam element are created such that each of the solid elements houses at least one slave beam node. Numerically-simulated structural behaviors of the reinforced concrete structure are obtained at each solution cycle of the time-marching simulation. Proper coupling of solid elements and at least one beam element are ensured. Exchanges of masses and momentums between a slave beam node and corresponding solid element nodes is conducted with both consistent and non-consistent portions.

Abstract: A computer-implemented method for designing a three-dimensional modeled object. The method comprises providing a modeling graph having nodes that represent geometrical objects and arcs that each represent a relationship linking the two geometrical objects represented by the incident nodes of the arc, wherein procedural relationships are represented by unidirectional arcs having the same orientation as the procedural relationships, and wherein the relationships linking the geometrical objects further include live relationships that are represented by bidirectional arcs. The method also comprises upon a modification of the data defining the 3D modeled object, determining a strong graph, wherein the strong graph is the graph of strong components of the modeling graph, and updating the 3D modeled object according to a traversal of the strong graph.

Abstract: A simulation environment benchmarks processors to determine processor performance. A benchmark program is instrumented with a microarchitecture instruction. A first clock cycle indicative of a processor before executing the benchmark program is captured. The benchmark program is executed and a processor return related to the microarchitecture instruction is intercepted. In response to the processor return, a second clock cycle indicative of the processor after executing the benchmark program is captured. The simulation environment determines the performance of the processor from the first clock cycle and the second clock cycle.

Abstract: A simulation environment benchmarks processors to determine processor performance. A benchmark program is instrumented with a microarchitecture instruction. A first clock cycle indicative of a processor before executing the benchmark program is captured. The benchmark program is executed and a processor return related to the microarchitecture instruction is intercepted. In response to the processor return, a second clock cycle indicative of the processor after executing the benchmark program is captured. The simulation environment determines the performance of the processor from the first clock cycle and the second clock cycle.

Abstract: A method for modeling at least a part of a blade of a non-streamlined propeller, part of the blade having an offset. The method includes (a) Parameterization of at least one Bezier curve representing a deformation of the blade characterizing the offset, defined by: a. First and second end control points (PCU1, PCUK); b. At least one intermediate control point (PCUi, i?[[2,K?1]]) disposed between the end points (PCU1, PCUK). The parameterization being performed according to at least one deformation parameter and the cutting height in the blade, on the basis of which the abscissa of the intermediate control point (PCUi) and the ordinate of the second end point (PCUK) are expressed. Optimized values of the deformation parameter or parameters are determined and then output.

Abstract: A first representation of an integrated circuit undergoing processing is transformed into a second representation. The second representation including additional dopants relative to the first representation. The transformation generates a three-dimensional dopant distribution from adding a first dopant under a first set of process conditions with a mask, by combining the two-dimensional lateral profile of the dopant with the one-dimensional depth profile of the dopant. The one-dimensional depth profile of the dopant is retrieved from a database storing selected results from earlier process simulation of the first addition of the first dopant under the first set of process conditions. The two-dimensional lateral dopant profile from adding the first dopant under the first set of process conditions with a first mask corresponding to the first dopant, is generated by convolving the mask with a lateral diffusion function, or from at least one solution to the 2D diffusion equation without convolution.

Abstract: A method for modeling an offset portion of a blade of a non-ducted propeller is provided. The method includes: parametrizing a C1-class curve representing a deformation of the blade characterizing the offset, according to a position along a section at a given height in the blade, the curve intersecting consecutively through a first bend control point, a central control point, and a second bend control point, the first and second bend control points defining the extent of the blade section, the parametrization being implemented according to a first deformation parameter defining the abscissa of the central control point, a second parameter of deformation defining the ordinate of the second bend point, and a third deformation parameter defining the angle of the tangent to the curve at the second bend control point; optimizing one of the deformation parameters; and plotting the values of the optimized parameters on an interface.

Abstract: A method and system for predicting heat exchanger blockage in an aircraft is provided. The method includes generating a reduced order model (ROM) that predicts a ram air fan (RAF) surge margin that correlates to a heat exchanger blockage parameter, calculating, using the ROM, a predicted RAF surge margin value using a sensor signal received from a sensor connected to a ram air fan (RAF), calculating the heat exchanger blockage parameter using at least the predicted RAF surge margin value, and reporting, to a user, the heat exchanger blockage parameter that indicates when a heat exchanger blockage condition is present.

Abstract: A method determines tolerance intervals for a set of dimensions of a part. The tolerance intervals are defined so that a part, the dimensions of which are included in the intervals, observes a set of constraints with a determined failure probability. The method includes generating a separation function for each constraint to be observed, each function being able to indicate whether a given dimensioning of a part meets or not the corresponding constraint. The method also includes iteratively building a set of increasingly larger tolerance intervals at each iteration, by the separation functions, whether the dimensionings included in the intervals observe the constraints with a failure probability of less than the failure probability.

Abstract: For detecting static and dynamic objects, the objects are statistically detected by way of a particle card, and new particles are respectively added in repeating steps. The method is characterized by the fact that static particles are also added, which makes it possible to model static objects in a very precise manner. An environmental model is also generated that has a two-dimensional arrangement of cells, and each cell represents a specific location. To each cell at least two continuous classification values are assigned that describe different attributes of the cells, for example, whether a cell has an object, a static object, a dynamic object, or whether it represents a free space, or whether none of these classes can be assigned.

Abstract: A method, including: obtaining an initial geophysical model; modeling a forward wavefield with viscoacoustic or viscoelastic wave equations; modeling an adjoint wavefield with adjoint viscoacoustic or adjoint viscoelastic wave equations, wherein the adjoint viscoacoustic wave equations are based on an auxiliary variable that is a function of pressure and a memory variable or the adjoint viscoelastic wave equations are based on a combination of stress and a memory variable, respectively; obtaining a gradient of a cost function based on a combination of a model of the forward wavefield and a model of the adjoint wavefield; and using the gradient of the cost function to update the initial geophysical model and obtain an updated geophysical model.