119 results about "Independent parameter" patented technology

The speech synthesizer is personalized to sound like or mimic the speech characteristics of an individual speaker. The individual speaker provides a quantity of enrollment data, which can be extracted from a short quantity of speech, and the system modifies the base synthesis parameters to more closely resemble those of the new speaker. More specifically, the synthesis parameters may be decomposed into speaker dependent parameters, such as context-independent parameters, and speaker independent parameters, such as context dependent parameters. The speaker dependent parameters are adapted using enrollment data from the new speaker. After adaptation, the speaker dependent parameters are combined with the speaker independent parameters to provide a set of personalized synthesis parameters. To adapt the parameters with a small amount of enrollment data, an eigenspace is constructed and used to constrain the position of the new speaker so that context independent parameters not provided by the new speaker may be estimated.

An adaptive electric car or other vehicle with potentially better performance—power, efficiency, range—than a gasoline vehicle, at a competitive cost. The motor control system can dynamically adapt to the vehicle's operating conditions (starting, accelerating, turning, braking, cruising at high speeds) and other inputs and parameters. That consistently provides better performance. Isolating the vehicle's motor or generator electromagnetic circuits allows effective control of more independent parameters. That gives great freedom to optimize. Adaptive motors and generators for an electric vehicle are cheaper, smaller, lighter, more powerful, and more efficient than conventional designs. An electric vehicle with in-wheel adaptive motors delivers high power with low unsprung mass and high torque and power-density. Total energy management of the vehicles entire electrical system allows for large-scale optimization. An adaptive architecture improves performance of a wide variety of vehicles, particularly those that need optimal efficiency over a range of operating conditions.

A method and system for controlling distribution of digital content within a personal domain or localized personal domain that includes multiple receiving devices and makes use of independent parameters (e.g., “who,”“what” and “how many”) to determine a threat index. A rights management engine develops usage rights for devices in the domain, based on the threat index and a risk tolerance threshold for the digital content. The system may include a plurality of information-gathering tools for collecting the independent parameters for a personal domain of connected receiving devices.

A system and method for estimation and analysis of operational parameters in workflow processes in order to establish effect of parameters on one or more critical parameters is provided. The method includes creating a Bayesian network including one or more operational nodes representing one or more operational parameters and one or more critical nodes representing one or more critical parameters. The method further includes generating an evidence set based on market events and deducing inferences based on the generated evidence set and Bayesian engine. Inferences are deduced by determining possible discrete states of operational parameters associated with one or more target nodes and their probability distribution values. Deduced inferences are then validated to confirm strength of probability distribution values. Forecasting for a selected operational parameter is performed by obtaining probability distribution of independent parameters and then performing forecasting for the selected parameter using Bayesian locally weighted regression model.

A method for optimizing operation of a feedback system may include generating a control signal according to a control parameter, regulating an output of the feedback system via the control signal, and monitoring the control parameter. In response to the monitoring indicating that the present value of the control parameter is outside a specific range of values, a first parameter that impacts an operating characteristic of the feedback system may be adjusted until the present value of the control parameter is within the specific range of values. The specific range of values of the control parameter may correspond to a target level of the operating characteristic of the feedback system with respect to the first parameter. One or more additional independent parameters also impacting the operating characteristic of the system may be similarly adjusted to obtain a minimum present value of the control parameter at which the output of the feedback system would be regulated, with the minimum value of the control parameter corresponding to the target level of the operating characteristic of the feedback system with respect to, collectively, the first parameter and the one or more additional independent parameters.

The present invention is concerned with the estimation of health parameters p(k) representing symptoms of a slowly degrading system, in particular industrial gas turbines. According to the invention, an estimation of a true health or independent parameter vector at time step k uses the estimation of the true health or parameter vector at a previous time step k−1 as a starting value for the production of a predicted health parameter vector at time step k. Based on the latter and a set of measured values of input variables of an extended model of the system, a prediction of output variables of the model is produced. This predicted model output is compared with measured values of the output variables to yield an error. From this error, a health parameter estimator in turn produces a health parameter estimate as a revision of the predicted health parameters. Preferably, the estimation of a true health or independent parameter vector at time step k includes a generalised process noise representing stochastic uncertainty and/or a-priori knowledge of an evolution of the health parameters.

A method of optimizing MOSFET device production which includes defining key independent parameters, formulating those key independent parameters into a canonical variational form, calculating theoretical extracted parameters using at least one of key independent parameters in canonical variational form, physics-based analytical models, or corner models. The method also includes calculating simulated characteristics of a device using the key independent parameters and extracting target data parameters based on at least one of measured data and predicted data, comparing the simulated characteristics to the target data parameters, and modifying the theoretical extracted parameters or key independent parameters in canonical form as a result of the comparison. Then, calculating and outputting the simulated characteristics based on the modified theoretical extracted parameters and the modified key independent parameters in canonical form.

A computer-based system and method are provided to determine the minimum number of factors required to account for input data by seeking an approximate minimum complexity model. In an exemplary embodiment, covariance in the daily returns of financial securities is estimated by generating a positive-definite estimate of the elements of a covariance matrix consistent with the input data. Complexity of the covariance matrix is minimized by assuming that the number of independent parameters is likely to be much smaller than the number of elements in the covariance matrix. Each variable is described as a linear combination of independent factors and a part that fluctuates independently. The simplest model for the covariance matrix is selected so that it fits the data to within a specified level as determined by the selected goodness-of-fit criterion.

Three data subsets are obtained in three selected azimuthal directions from seismic data in heterogeneous, anisotropic media. Azimuthal velocities are determined for each of the data subsets. A linear system of equations in the three selected azimuthal directions and the three determined azimuthal velocities is solved for three independent parameters. An azimuthal time migration velocity function is constructed from the three solved independent parameters. A time migration traveltime function is constructed from the constructed azimuthal time migration velocity function.

The present invention relates to digital data communication and provides an efficient method for generating multi-dimensional constellations for digital data modulation with a high degree of modulation diversity, a method for transmitting and receiving data on the basis of such constellations, and a corresponding apparatus. This is achieved by considering only multi-dimensional rotation matrices with all elements on the diagonal having the same first absolute value and all other elements having the same non-zero second absolute value. In this manner, multi-dimensional rotation matrices can be generated having only a single independent parameter and a structure that is as regular as possible. The independent parameter can be configured in order to minimize the error probability for various constellation sizes.

To characterize film grain, a Film Grain Characterizer (23) receives an incoming information stream (12) and a filtered information stream (24) from which the film grain has been removed. From these streams, the Film Grain Characterizer (23) outputs a message that contains an identity of a model for simulating grain, as well at least one of a set of several parameters, including correlation parameters, intensity-independent parameters and intensity-dependent parameters used by the identified model. An encoder (26, 13) encodes the film grain information for subsequent transmission.

A functional model for a set of experimental data has K independent parameters. The parameters are to be estimated from an experimental data-set of N data points, comprising “inlier” data points representative of the model and “outlier” data points which are not representative of the model. Multiple subsets of the data points are defined, and each used to estimate the parameters of the model. The various estimates of the parameters are plotted in the parameter space to identify the peak parameters in the parameter space. Data points which are not described by the model using the said peak parameters are judged to be outliers. The method makes it possible to identify up to N−K′−3 outliers (K′ is the minimum number of data points through any subset of the input data set the K parameters of the model can be uniquely calculated).

Method and apparatus for a receiving device to wirelessly receive electric power from a transmitting device. A power capacity is configured at the receiving device, based on a default power capacity known by both the receiving device and the transmitting device. A first value of a dependent parameter is read. The dependent parameter is associated with the electric power and varies in accordance with an independent parameter adjustable by the transmitting device. A second value of the dependent parameter is then read. A maximum power capacity of the transmitting device is identified based on at least the first and second values and a predetermined threshold. The electric power is then received from the transmitting device.

The invention relates to an online network temperature-measuring thermal imager calibration method, in particular to a calibration method for temperature measurement of a thermal imager in engineering application. The online network temperature-measuring thermal imager calibration method is characterized by comprising the following steps: fusing major factors influencing the temperature measuring accuracy of a temperature-measuring thermal imager into a calibration process flow; decomposing the influence factors into independent parameters which can be determined respectively through an engineering measuring method in a laboratory; establishing a calibrated mathematical model according to a temperature measuring theory; determining a specific calibration implementation method by using the mathematical model. According to the online network temperature-measuring thermal imager calibration method, the major factors influencing the temperature measuring accuracy of the temperature-measuring thermal imager are fused into the calibration process flow, the influence factors are decomposed into independent parameters which can be determined respectively through the engineering measuring method in the laboratory, the calibrated mathematical model is established according to the temperature measuring theory, and considered compensation factors are close to a practical application environment during calibration, so that the accuracy of a temperature measuring result is high.

An integrated display including a plurality of analog gauges concentrically arranged about a common center. Each analog gauge includes a pointer indicating a value of a parameter represented by the analog gauge. The integrated display is optionally semi-transparent and superimposed over a background view in a computer game, simulation, or other software application. The pointer and analog gauge may move relative to each other, or one may be fixed at an easily recognizable location while the other moves to indicate a current value of a parameter. This display can also be used on an electronic device to indicate a plurality of independent parameters in a minimal space.

The invention relates to a method for establishing an equivalent geometric imaging model of a high-resolution satellite image by using RPC parameters. The method comprises: selecting a random scanningline of a high-resolution satellite image and listing a collinear condition equation of a projection center, an image point and a corresponding object square point; on the basis of operating characteristics and geometric characteristics of the high-resolution satellite, abstracting three rotation angles and six orbital numbers in an equivalent principal distance, a principal point coordinate, andan offset matrix and forming 11 independent parameters of an equivalent geometric imaging model; and with RPC parameters, calculating parameters of the equivalent geometric imaging model directly. Therefore, inherent problems of the over-parameterization of the RPC, strong correlation between parameters, and residual error existence of the fitting tight imaging model are solved; the parameters have the obvious geometric and physical meanings; and modeling analysis can be carried out on various imaging error sources conveniently. The mutual conversion of RPC parameters is realized; and the positioning accuracy of high-resolution satellite image is improved.

A computerized system and method for peak-seeking-control that uses a unique Kalman filter design to optimize a control loop, in real time, to either maximize or minimize a performance function of a physical object (“plant”). The system and method achieves more accurate and efficient peak-seeking-control by using a time-varying Kalman filter to estimate both the performance function gradient (slope) and Hessian (curvature) based on direct position measurements of the plant, and does not rely upon modeling the plant response to persistent excitation. The system and method can be naturally applied in various applications in which plant performance functions have multiple independent parameters, and it does not depend upon frequency separation to distinguish between system dimensions.

Highly functionalized, porous organosilica particles and methods of their synthesis are described that employ high amounts of functional silane such as 3-mercaptopropyl trimethoxysilane. Silane particle diameters are controlled from less than 1 μm to over 100 μm. The particles have a high surface area due to their advantageous internal structures, which consist of large pores, typically up to 10 μm that are linked by small channels of typically about 20 nm diameter. Isothiocyanate modified fluorescent dyes can enter and react with thiol groups inside the pores. The invention also provides clear silica shells of controlled thicknesses to protect fluorescent signals and provide an independent parameter for distinguishing particle types based on light scattering off different sized particles. The particles are stable and useful for many purposes, particularly for optical bar coding in combinatorial synthesis of polymers such as nucleic acid, polypeptide, and other synthesized molecules.

A method for generating a scale-dependent rendering of natural media styles in a vector-based graphics application is disclosed. A vector-based graphics drawing may be resized such that certain scale-dependent parameters are scaled proportionately, while other scale-independent parameters are not scaled. The result of such resizing is a scaled rendering of the vector-based graphics drawing that closely resemble hand drawn images created using natural media materials.

The invention provides an estimation of key flow-independent parameters characteristic of NO exchange in the lungs, namely: 1) the steady state alveolar concentration, C_alv,ss; 2) the maximum flux of NO from the airways, J_NO,max; and 3) the diffusing capacity of NO in the airways, D_NO,air. The parameters were estimated from a single exhalation maneuver comprised of a pre-expiratory breathhold, followed by an exhalation in which the flow rate progressively decreased. The mean values for J_NO,max, D_NO,air, and C_alv,ss do not depend on breathhold time for breathhold times greater than approximately 10 seconds. A priori estimates of the parameter confidence intervals demonstrates that a breathhold no longer than 20 seconds may be adequate, and that J_NO,max be can estimated with the smallest uncertainty, and D_NO,air the largest.