The present invention discloses a method and an apparatus of constructing a test scenario of an unmanned vehicle. The method comprises: obtaining a scenario attribute set by the user; respectively determining a map and an agent matching with the scenario attribute; generating a test scenario according to the determined map and agent. The solution of the present invention can be used to improve the efficiency of constructing the test scenario.

The present invention discloses a method and apparatus of obtaining feature information of a simulated agent. The method further comprises: for each agent class, respectively obtaining feature information of real agents belonging to the class and freely participating in traffic activities, the number of real agents belonging to each class being greater than one; for each agent class, extracting representative feature information from feature information of each real agent belonging to the class, and taking the extracted feature information as feature information of simulated agents belonging to this class. The solution of the present invention may be applied to improve correctness of testing results of unmanned vehicles.

A global optimization tool may be used to predict characteristics of a multiple ply layered composite as a condition of one or more continuous variables and/or one or more binary variables. For example, the global optimization tool may predict characteristics of a composite for a large range of fiber orientation angles of each of layer of the ply. The optimization tool may include solving a mixed integer nonlinear programming (MINLP) model to obtain a multiple ply layered composite design that is optimized relative to objectives, such as areal weight and cost. Thus, the global optimization tool may be able to identify composite designs with lower areal weight and/or lower cost than the composite designs identified by prior art trial and error methods or heuristic algorithms. When a composite design is identified as meeting certain criteria that are input to the global optimization tool, that composite design may be manufactured.

An apparatus is provided for analysis of a leading edge rib of a fixed leading edge section of an aircraft wing. The apparatus may identify geometric or inertial properties of a plurality of stiffeners of the rib in which respective stiffeners are represented by a collection of geometry within a solid model of the rib, and perform an analysis to predict a failure rate of the leading edge rib under an external load. From the failure rate, the apparatus may determine a structural integrity of the leading edge rib under the external load. Identifying the properties may include, extracting a section cut of the geometry that corresponds to and has one or more properties of the respective stiffener, and identifying the properties of the cross-section and thereby the respective stiffener based on a correlation of the cross-section to a generic profile of a plurality of different cross-sections.

Hybrid feature selection methods include methods of creating a predictive model for structural repair during heavy maintenance in a fleet of aircraft. Methods include qualifying a qualification dataset of fatigue-related parameters calculated from data collected during a first group of flights of a first aircraft that experience a replacement of a structural component during heavy maintenance. Methods include receiving a qualified selection of the fatigue-related parameters and verifying a verification dataset of the qualified selection of the fatigue-related parameters calculated from data collected during a second group of flights of a second aircraft that experienced heavy maintenance without replacement of the structural component. Methods include receiving a set of verified and qualified fatigue-related parameters and building a predictive model for structural repair during heavy maintenance with a training dataset of the verified and qualified fatigue-related parameters calculated from data collected during additional flights of the fleet.

Systems and methods relate to cell placement methodologies for improving length of diffusion of transistors. For example, a first transistor with a first diffusion node which is bounded by a first diffusion cut is identified in a transistor level layout. The first diffusion cut is replaced with a first floating gate, and a first filler cell with a first filler diffusion region is added to extend a length of diffusion of the first diffusion node. Increasing the length of diffusion leads to improving drive strength and performance of the first transistor.

The subject matter of this specification can be embodied in, among other things, a method for treating a geologic formation that includes providing a hydraulic fracture model, providing a first value representative of a volume of kerogen breaker in a fracturing fluid, determining a discrete fracture network (DFN) based on the hydraulic fracture model and the first value, determining a geomechanical model based on the DFN and a reservoir model based on the DFN, determining a hydrocarbon production volume based on the geomechanical model and the reservoir model, adjusting the first value based on the hydrocarbon production volume, and adjusting a volume of kerogen breaker in the fracturing fluid to a hydrocarbon reservoir based on the adjusted first value.

Methods and systems of predicting the growth rate of hydrogen-induced cracking (HIC) in a physical asset (e.g., a pipeline, storage tank, etc.) are provided. The methodology receives a plurality of inputs regarding physical characteristics of the asset and performs parametric simulations to generate a simulated database of observations of the asset. The database is then used to train, test, and validate one or more expert systems that can then predict the growth rate and other characteristics of the asset over time. The systems herein can also generate alerts as to predicted dangerous conditions and modify inspection schedules based on such growth rate predictions.

A simulation system capable of synchronizing the input and output of signals between a plurality of simulation devices with the same accuracy as in the case of actual devices is provided with the plurality of simulation devices configured to perform processing in response to input signals and to output output signals and an input/output signal management device configured to output the input signals to the simulation devices and to receive the output signals from the simulation devices. The input/output signal management device stores processing response times p in the simulation devices. Virtual reception times vt of the output signals are individually calculated based on times t at which the input signals are output to the simulation devices and the processing response times p. One of the plurality of output signals received at the earliest virtual reception time vt is output as the input signal for another of the simulation devices.

According to an aspect, a method includes accessing an initial layout of global wires and a congestion related metric for each net in a gate level design description of an integrated circuit. A second layout is accessed that specifies, for each net, detailed routing information that includes connections between specific wires in the regions of the integrated circuit. A list of nets with a same source region and target region in the initial layout as the failing net is generated. A net in the list of nets is selected and the failing net is rerouted over the selected net. The rerouting includes the global router updating the initial layout and the detailed router updating the second layout. The congestion related metric for each net is updated in response to the global router updating the initial layout.