125 results about "Function representation" patented technology

Embodiments of the systems and methods utilize application contexts for extending virtual machines in a resource-constrained device to allow virtual machines to at least exercise scheduling control over platform independent applications and platform dependent native applications. Application contexts can be assigned to each application in the system. An application is represented by one or more data structures and functions. In one embodiment, an “application context” includes an interface to a virtual machine and a container for an execution environment of the application. The interface represents a mapping of services to an execution environment. The application context can isolate control over the execution of the application from the execution environment, thus, allowing the virtual machine to control execution of the application and allowing the application to be executed in a native environment, a virtual machine environment, or any other execution environment.

A method and system for data modeling that incorporates the advantages of both traditional response surface methodology (RSM) and neural networks is disclosed. The invention partitions the parameters into a first set of s simple parameters, where observable data are expressible as low order polynomials, and c complex parameters that reflect more complicated variation of the observed data. Variation of the data with the simple parameters is modeled using polynomials; and variation of the data with the complex parameters at each vertex is analyzed using a neural network. Variations with the simple parameters and with the complex parameters are expressed using a first sequence of shape functions and a second sequence of neural network functions. The first and second sequences are multiplicatively combined to form a composite response surface, dependent upon the parameter values, that can be used to identify an accurate model.

A method of measuring eye refraction to achieve desired quality according to a selected vision characteristics comprising the steps of selecting a characteristic of vision to correlate to the desired quality of vision from a group of vision characteristics comprising acuity, Strehl ratio, contrast sensitivity, night vision, day vision, and depth of focus, dynamic refraction over a period of time during focus accommodation, and dynamic refraction over a period of time during pupil constriction and dilation; using wavefront aberration measurements to objectively measure the state of the eye refraction that defines the desired vision characteristic; and expressing the measured state of refraction with a mathematical function to enable correction of the pre-selected vision characteristic to achieve the desired quality of vision. The mathematical function of expression may be a Zernike polynomial having both second order and higher order terms or a function determined by spline mathematical calculations. The pre-selected desired vision characteristics may be determined using ray tracing technology.

Packaging material may be profiled to generate an incremental containment force per revolution (ICF) attribute that is represented by a function that is variable as a function of wrap force. Moreover, the performance of different packaging materials, e.g., in terms of speed or cost, may be compared for a particular load through simulation of wrap operations based upon dimensions of the load and a desired load containment force requirement for the load.

The invention relates to an efficient porous structure design and optimization method based on a three-period minimal surface, belonging to the computer-aided design field. Firstly, the functional representation of porous structure based on three-period minimal curved surface and the corresponding porous structure design method are presented. Then, under the given external constraints, the energyfunction model is constructed to model the porous structure design, and the corresponding discretization form is given. Finally, topology initialization and geometry optimization are carried out to obtain the optimal porous structure under given constraints. The invention greatly shortens the design and optimization period of the cavity structure, and can give the optimal result in theory. The porous structure designed by the invention has the characteristics of smoothness, full connectivity, controllability, quasi-self-support and the like, and is suitable for the common 3D printing manufacturing method, and the internal structure of the printing process does not need additional support, so that the printing time and the printing material can be saved.

The invention discloses a method for constructing a turbine disc structure probability design system. The method comprises the following six steps of: 1, analyzing a turbine disc structure probability design flow, analyzing a failure mode, and determining a system functional model of the probability design flow; 2, extracting characteristic parameters of a turbine disc meridian plane and a mortise respectively to finish parametric modeling; 3, storing a common material for a turbine disc in a form of spreadsheet to form a material base tool; 4, integrating a rain-flow counting program, processing a standard loading spectrum, providing primary and secondary cyclic loading parameters for low cyclic analysis, integrating an MATLAB data processing function, and expressing fatigue-creep coupling by using a double-parameter characteristic function; 5, researching the heteroscedastic characteristic of a strain life model and providing a model to realize heteroscedastic recursive processing of fatigue test data; and 6, constructing a turbine disc structure probability design system database based on the principle of using a task as a basic unit and using the turbine disc probability design flow as a core. The method has broad application prospect in the field of aerospace engines.

A twin neural network training method for face verification comprises: a training sample set is prepared; the images in the training sample set are normalized in size and then input to the artificialneural network for training. Artificial neural network consists of two identical sub-neural networks. The training samples are divided into datasets data_p and data_p which are equal in number. The datasets data_p and data_p are sent to two sub-neural networks to extract the eigenvectors of the samples. By comparing the loss function to realize the iterative optimization of the neural network, until the iterative number reaches the set value, then jump out of the iteration, at this time the trained artificial neural network is the twin neural network for face verification; The contrast loss function represents similarity between two sets of eigenvectors.

The present invention is a novel device, system, and method for simultaneous selection of filters and loop proportional gain for a closed loop system. According to an exemplary embodiment of the present invention, a method provides an automated selection of the portion of the controller known as the speed loop compensator. The method may operate on a frequency response function that represents the dynamic response from an actuation force (e.g. motor torque) to the sensor used for feedback of speed control (e.g. motor encoder angle). The frequency response function may be represented as a series of complex numbers each with a corresponding frequency value. The tuning method determines the combination of filter parameters that allows the loop proportional loop gain (K_p) to be maximized while meeting a specified set of criteria for stability margins. Methods for selecting integral gain and reference model are also presented.

The invention relates to an asymptotic variational method-based method for simulating and optimizing a composite material laminated plate, which belongs to the field of analysis of material mechanics. The method specifically comprises the following steps of: constructing a three-dimensional plate energy equation represented by a one-dimensional generalized strain and warping function on the basisof a rotation tensor decomposition concept; strictly splitting the original three-dimensional problem analysis into nonlinear two-dimensional plate analysis and cross-section analysis along a thickness direction on the basis of an asymptotic variational method; asymptotically correcting an approximate energy functional of a reduced-order model to a second order by using the inherent small parameter of the plate and converting the approximate energy functional into the form of Reissner model for practical application through an equilibrium equation; accurately reconstructing a three-dimensional stress/strain/displacement field by using an obtained global response asymptotic correction warping function; and optimizing the composite material laminated plate by using an optimization strategy of bending and torsion rigidity coefficients obtained by maximization cross-section analysis. The method has high practicability and high generality, and the resolving speed and efficiency of this type of problems can be remarkably increased.

An optimization framework for spectrum sharing in white space bands formulates an objective function as a linear function of channels and power levels, and constructs a linear set of equations based on a general graph model according to constraints, including spectrum usage regulations and/or resource re-use constraints. The optimization framework provides joint power control and channel assignment where the solution is implemented by an algorithm that allocates time/power/channel to each network to avoid interference while re-using time and/or frequency resources. The solution allocates a fair and orthogonal portion of time on each channel for a certain power level to the networks. The solution can be implemented by a central entity having at least location information of the networks and, upon solving the optimization problem, signals scheduling information of each channel assigned.

The disclosure is directed to a method of representing fluid flow response to imposed conditions in a physical fluid reservoir through wells. The invention utilizes techniques and formulas of unprecedented accuracy and speed for computations for a fundamental element in analysis of fluid movement through subterranean reservoirs—the calculation of Green's and Neumann functions in finite three-dimensional space. The method includes modeling of pressure and/or flow rate observables at wells in said reservoir using an easily computable, closed-form Green's or Neumann function for a linear well segment in arbitrary orientation within a three dimensional cell of spatially invariant but anisotropic permeability. The method further includes the modeling of fluid flow in the physical fluid reservoir with an assemblage of linear well segments operating in unison with uniform flux density to represent arbitrary well trajectory. The method further includes modeling reservoir flow through one or more linear well segments of non-uniform flux related by a constitutive expression linking pressure distribution and flow rate within the well. The method further includes generalization through integration of easily computable Green's or Neumann functions to represent fractures or fractured wells in modeling fluid flow in a physical reservoir. The system includes modeling fluid flow through a mesh representation of the physical fluid reservoir containing one or more wells represented by easily computable Green's or Neumann functions. The system further includes modeling of flow in the physical reservoir via a numerical method in which the values of pressure and flux assigned to the mesh are related to observables at the well using aforementioned easily computable Green's or Neumann functions. The system further includes the coupling of well and mesh values within the numerical solution method for well observation or feedback control. The system still further includes the localization of the well model to the properties assigned to only those mesh elements penetrated by the well using boundary integral equation methods. The invention also incorporates the addition of transients in fluid flow towards a steady or pseudo-steady state, and use thereof, in the above constructs.

A reverse filter operates for adding noise n(x,y) to an output of a deteriorated model of a blurring function H(x,y) to output an observed model g(x,y). The blurring function inputs a true picture f(x,y) to output a deteriorated picture. The reverse filter recursively optimizes the blurring function H(x,y) so that the input picture signal will be coincident with the observed picture. In this manner, the reverse filter extracts a true picture signal. A corresponding point is estimated, based on a fluency theory, on the true input picture signal freed of noise contained in it by the reverse filter (20). The motion information of a picture is expressed in the form of a function. A plurality of signal spaces is selected by an encoder for compression (30) for the input picture signal. The picture information is expressed by a function from one selected signal space to another. The motion information of the picture expressed by the function and the signal-space-based picture information expressed in the form of a function are expressed in a preset form to encode the picture signal by compression. The picture signal encoded for compression has its frame rate enhanced by a frame rate enhancing processor (40).

In certain aspects, the invention is directed to a method for visual programming in an environment having a set of user-invocable function representations, a data processing system for implementing the method and a computer program product with computer-usable program code for implementing the method. The method includes:

• • maintaining a user interface from which a user may access any function representation in the set of user-invocable function representations;
  • receiving a new function representation that is omitted from the set of user-invocable function representations; and
  • storing the new function representation in the set of user-invocable function representations so that the new function representation may be accessed from the user interface.

A first test signal from a test signal source is provided to a spectrum analyzer to produce first measurement data. The test signal source is expressed by a first transfer function G(w) and the spectrum analyzer is expressed by second transfer function F(w). A second test signal is provided to the spectrum analyzer to produce second measurement data where the second test signal is derived from the first test signal by shifting the frequency by a known increment. From the first and second measurement data, the components are the same on G(w) but different on F(w). The G(w) components are cancelled by calculation using the first and second measurement data and then the second transfer function F(w) is evaluated independently of G(w).