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.

The disclosure describes improved systems and methods for displaying a trend history of the patient condition using pictorial representations that dynamically change as the clinician advances and reverses through an independent parameter. The present application displays changes in patient condition as a pictorial instead of a number or waveform. By displaying changes in patient condition in a pictorial, a clinician may be able to quickly understand how the dependent parameters have changed as a function of an independent parameter. As the pictorial changes, it animates from one condition to the next to more effectively indicate changes in patient condition. A representation of the normal or desired condition for a parameter is shown as a static pictorial that is overlaid with the dynamically changing trend. In this manner the clinician can determine how the patient condition is changing relative to a desired state.

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.

In a system including at least one base station device, the base station device efficiently controls uplink signals. A mobile station device includes a path loss calculation unit 4051 configured to calculate path losses, each based on one of a plurality of types of reference signals received by a reception processing unit 401, a transmit power setting unit 4053 configured to set a desired transmit power for an uplink signal using the path losses calculated by the path loss calculation unit 4051, and a power headroom control unit 4055 configured to generate a power headroom using the desired transmit power set by the transmit power setting unit 4053, the power headroom being information concerning transmit power to spare, and configured to control transmission of the power headroom. The power headroom control unit 4055 independently controls a power headroom transmission process that uses each of the path losses calculated based on the plurality of types of reference signals, using an independent parameter for each power headroom transmission process.

According to the present invention, the previously known functional material having a self-assembled monolayer on a substrate has a plurality of assembly molecules each with an assembly atom with a plurality of bonding sites (four sites when silicon is the assembly molecule) wherein a bonding fraction (or fraction) of fully bonded assembly atoms (the plurality of bonding sites bonded to an oxygen atom) has a maximum when made by liquid solution deposition, for example a maximum of 40% when silicon is the assembly molecule, and maximum surface density of assembly molecules was 5 silanes per square nanometer. Note that bonding fraction and surface population are independent parameters. The method of the present invention is an improvement to the known method for making a siloxane layer on a substrate, wherein instead of a liquid phase solution chemistry, the improvement is a supercritical phase chemistry. The present invention has the advantages of greater fraction of oxygen bonds, greater surface density of assembly molecules and reduced time for reaction of about 5 minutes to about 24 hours.

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.

The invention discloses an electric power steering system with double-gradient smooth assist curves, which is characterized in that an electronic control unit is provided with double-gradient smooth assist curves. By means of the double-gradient smooth power-assist curves, the electric power steering system has completely smooth assistance characteristics, and curve parameters can be independently calibrated according to different touch requirements of a small assistance area and a large assistance area. The electric power steering system has the advantages of smooth assistance, independent parameter function and easiness in adjustment, and expectations of drivers on steering touch can be better satisfied.

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.

Methods and tools for generating measurement models of complex device structures based on re-useable, parametric models are presented. Metrology systems employing these models are configured to measure structural and material characteristics associated with different semiconductor fabrication processes. The re-useable, parametric sub-structure model is fully defined by a set of independent parameters entered by a user of the model building tool. All other variables associated with the model shape and internal constraints among constituent geometric elements are pre-defined within the model. In some embodiments, one or more re-useable, parametric models are integrated into a measurement model of a complex semiconductor device. In another aspect, a model building tool generates a re-useable, parametric sub-structure model based on input from a user. The resulting models can be exported to a file that can be used by others and may include security features to control the sharing of sensitive intellectual property with particular users.

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, Calv,ss; 2) the maximum flux of NO from the airways, JNO,max; and 3) the diffusing capacity of NO in the airways, DNO,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 JNO,max, DNO,air, and Calv,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 JNO,max be can estimated with the smallest uncertainty, and DNO,air the largest.

The invention discloses a household networking method, a household appliance and a user side, and belongs to the technical field of wireless networks. The method comprises the step of sending configuration information of a wireless access point (AP), wherein the configuration information carries household appliance information and media access control (MAC) information. By using the method, the household appliance and the user side provided by the invention, the household information and the MAC information needed during a household appliance networking process are carried by a service set identifier (SSID); when sending a networking broadcast message, the household appliance does not need to carry the household information and the MAC information in the networking broadcast message as two independent parameters, only the SSID parameter needs to be carried, and thus the household information and the MAC information can be sent to the user side.

A method and system for customizing a computerized system having a plurality of operating features, including selecting at least one independent parameter from a predefined list of parameters for selecting at least one of the operating features of the customized computerized system, and storing the independent parameter in a parameter set. The at least one of the selected operating features is enabled by selecting at least one secondary parameter from a predefined list of secondary parameters, wherein the secondary parameter are associated with the at least one independent parameter, and at least one secondary parameter is stored in the parameter set. At least one dependent parameter is determined for configuring the computerized system, wherein the dependent parameter is generated from a predefined list of dependent parameters in accordance with the parameter set, and the dependent parameter is added to the parameter set. A compilation of parameters is installed in the customized computerized system, where the compilation of parameters is generated from the parameter set, wherein the compilation of parameters enables the selected operating features of the customized computerized system.