213 results about "Universal model" patented technology

Disclosed is a general model and method for computing performance bounds in multi-hop wireless networks. Rather than focusing on computing asymptotic performance bounds under assumptions of homogeneity or randomness in the network topology and/or workload, the present invention accommodates any given network, technology, interference model, routing paradigm, and workload. Using a conflict graph to formally characterize the impact of wireless interference on the performance of multi-hop wireless networks, methods for computing upper and lower bounds on the capacity of a given wireless network are detailed. Besides computing network capacity, the model and method disclosed can also enable or benefit other applications including maximizing fairness and minimizing maximum link utilization.

In a novel method of 3D modeling of an object from a video sequence using an SfM algorithm and a generic object model, the generic model is incorporated after the SfM algorithm generates a 3D estimate of the object model purely and directly from the input video sequence. An optimization framework provides for comparison of the local trends of the 3D estimate and the generic model so that the errors in the 3D estimate are corrected. The 3D estimate is obtained by fusing intermediate 3D reconstructions of pairs of frames of the video sequence after computing the uncertainty of the two frame solutions. The quality of the fusion algorithm is tracked using a rate-distortion function. In order to combine the generic model with the 3D estimate, an energy function minimization procedure is applied to the 3D estimate. The optimization is performed using a Metropolis-Hasting sampling strategy.

The invention discloses a three-dimensional face modeling method and a three-dimensional face modeling printing device based on video streaming and face multi-attribute matching. The method comprises the following steps that: establishing a universal three-dimensional face model library; through a pre-trained multi-task learning deep neural network, carrying out face detection and face key point information extraction; and utilizing the pre-trained multi-task learning deep neural network to carry out face attribute analysis prediction, and combining face key point data with face attribute information to carry out coarse registration with the universal three-dimensional face model library to obtain a universal face model which is most similar to real-time acquisition. The printing device comprises an input unit, a feature point labelling unit, a universal three-dimensional face model library unit, a face multi-attribute classification unit, a face key point optimization unit, a texture refining unit and a printing and outputting unit. The method and the printing device have the advantages of high accuracy, simple implementation way, good user friendliness, high automation degree and the like.

The invention discloses a building method for the universal comprehensive models of single-rotor helicopters and turboshaft engines. The method includes the building of the non-linear models of a helicopter and an engine, the static trimming of the single-rotor helicopter and the turboshaft engine, the dynamic calculation of the single-rotor helicopter and the turboshaft engine and the actual operation solution of the single-rotor helicopter and the turboshaft engine, wherein the static trimming adopts the Levenberg-Marquarat algorithm, the dynamic calculation adopts the fourth-order Ronge-Kutta method to solve the motion equation system of the helicopter and the single pass algorithm to solve the dynamic balance equation of the turboshaft engine, and the actual operation state solution adopts a modified linear quadratic regulator algorithm to carry out helicopter solution and a cascade PID (Proportion-Integration-Differentiation) plus torque feedforward plus collective pitch compensation and torsional vibration filter method to carry out engine solution and load filtration. The method can meet the test requirements of the universal models and control methods of the single-rotor helicopters and the turboshaft engines, and plays an active role in helping to shorten the development cycle and reduce the test risk and the cost.

A fast variational on-line learning technique for training a transformed hidden Markov model. A simplified general model and an associated estimation algorithm is provided for modeling visual data such as a video sequence. Specifically, once the model has been initialized, an expectation-maximization (“EM”) algorithm is used to learn the one or more object class models, so that the video sequence has high marginal probability under the model. In the expectation step (the “E-Step”), the model parameters are assumed to be correct, and for an input image, probabilistic inference is used to fill in the values of the unobserved or hidden variables, e.g., the object class and appearance. In one embodiment of the invention, a Viterbi algorithm and a latent image is employed for this purpose. In the maximization step (the “M-Step”), the model parameters are adjusted using the values of the unobserved variables calculated in the previous E-step. Instead of using batch processing typically used in EM processing, the system and method according to the invention employs an on-line algorithm that passes through the data only once and which introduces new classes as the new data is observed is proposed. By parameter estimation and inference in the model, visual data is segmented into components which facilitates sophisticated applications in video or image editing, such as, for example, object removal or insertion, tracking and visual surveillance, video browsing, photo organization, video compositing, and meta data creation.

Method for radiographic imaging, in particular for measuring the bone mineral density of an osseous body, this method involving an operation which consists in determining the value of a composite index using, on the one hand, digitized radiological data, and, on the other hand, a three-dimensional generic model of said osseous body.

Methods and systems for generating a universal computer model for assessing a risk in an electronic transaction based on one or more risk assessment models are presented. The one or more risk assessment models may be incompatible with each other. Different portions of a risk assessment models may be extracted from the risk assessment models. A node structure is generated for each risk assessment model based on the portions extracted from a corresponding risk assessment model. The node structures generated based on the risk assessment models are merged to produce a merged node structure. The universal computer model is generated based on the merged node structure.

A method for building robust model predictive controller universally applicable is presented based on the innate process characteristics independent of the method of control actuation. The method of universal MPC design permits proper configuration of requisite regulatory control loops for measured and unmeasured disturbance rejections consistent with the underlying innate process characteristics and their embedding within the overall process unit model predictive controller. The method of universal MPC design requires that manipulated variables process value based model (PV-based models) be used in control and optimization in place of the customary set point based models (SP-based models) or control output based models (OP-based models). The PV-based models are devoid of the manipulated variables regulatory controllers response and tuning. Based on the PV-based models, an alternate method of MPC called PV-based MPC is presented that is most robust and adaptable of possible three types of MPC. Based on the universal MPC design, the prior art MPC can be adapted to improve its robustness at or near control valve saturation.

A general model is provided for predicting a loudspeaker preference rating, where the model's predicted loudspeaker preference rating is calculated based upon the sum of a plurality of weighted independent variables that statistically quantify amplitude deviations in a loudspeaker frequency response. The independent variables selected may be independent variables determined as maximizing the ability of a loudspeaker preference variable to predict a loudspeaker preference rating. A multiple regression analysis is performed to determine respective weights for the selected independent variables. The weighted independent variables are arranged into a linear relationship on which the loudspeaker preference variable depends.

The invention discloses a fast modeling method and system of human face which based on sheet photo. First, importing a photo of facade human face and a universal model of three-dimensional human face, then in allusion to the photo of facade human face, fixing the outline position of the true human face organ, and ascertaining the outline control point; in allusion to universal model of three-dimensional human face, demarcating the model control point according to the said outline control point, establishing the connection between the said model control point and outline control point corresponding to the said, according to the connection between the said model control point and outline control point, fitting the model by making use of universal model of three-dimensional human face. Adjusting the model control point according to the location of the outline control point, to make the entire location of organ similar between three-dimensional human face and human face; the fitted model adds vein. This invention can build the human face model rapidly in front human face; the operation is easy, the achievable human face model have very strong sense of reality within certain angle range.

The invention discloses a 3D pavement generation method applicable to a virtual prototype system. The method comprises the following steps: the first step, establishing a 3D random pavement elevation model of a fast Fourier transform (FFT) algorithm based on a single-point FFT pavement roughness random excitation time domain model; the second step, programming a general program of the FFT 3D pavement model in MATLAB software, and selecting the pavement of a specific level to simulate the pavement roughness according to needs, thus obtaining coordinate data of the 3D pavement; the third step, establishing a generalized pavement file which is applicable to common multibody dynamics software: establishing a general model which generates the 3D pavement file and comprises the node generation and the unit generation algorithm, thus compiling the coordinate data of the 3D pavement obtained in the second step into a pavement file that can be identified by virtual prototype simulation software; and the fourth step, performing virtual prototype modeling simulation. The method has faster computation speed of the 3D FFT model, and is more suitable to the research requirements of multi-dimensional complicated systems, real-time systems and the like.

The invention discloses a voice emotion recognizing method, a voice emotion recognizing device, a computer device and a computer readable storage medium. The method comprises the following steps: acquiring voice data of a user; determining user attribute information of the user according to the voice data; and according to the user attribute information and the voice data, determining the emotiontype of the user. The method does not depend on the voice recognition technology, the operation of converting voice into a text is not needed, the attribute information of the user is determined through the voice data only, meanwhile, the voice emotion recognizing for the user is realized based on the attribute information, compared with the traditional method for recognizing the emotion of the user through a universal model only, the method provided by the invention realizes the voice emotion recognizing on the user based on the user attributes, therefore, the emotion recognizing effect can be effectively promoted, and the recognizing accuracy is improved.

The invention discloses a turbofan engine self-adaptive component level simulation model construction method, which comprises the following steps: step A, obtaining parameters of each working sectionof a turbofan engine, establishing a nonlinear component level dynamic universal model of the turbofan engine in a state above a slow train; step B, designing a volume tracking filter and estimating an unmeasurable performance feature parameter of an air channel component of the turbofan engine in the nonlinear component level dynamic universal model obtained in the step 1, wherein the air channelcomponent comprises a fan, a gas compressor, a high pressure turbine and a low pressure turbine; step C, using the performance feature parameter estimated in the step B to automatically update the flow and efficiency characteristic diagram of the air channel component, using the adjusted air channel component characteristic parameters for calculation of component aerothermodynamic parameters, andestablishing a self-adaptive component level simulation model in a state above the slow train. The turbofan engine self-adaptive component level simulation model construction method in the inventionsignificantly improves the precision of the nonlinear component level engine individual model in the state above the slow train.

The invention discloses a universal blood glucose prediction method based on frequency band separation and data modeling, which comprises the steps that a human body subcutaneous blood glucose measurement signal is analyzed; the latent timing sequence dynamic characteristic of the human body subcutaneous blood glucose measurement signal is extracted; a frequency band separation threshold is defined; the subcutaneous blood glucose measurement signal is divided into a high frequency band and a low frequency band; timing sequence autocorrelation of a low frequency blood glucose signal is analyzed; and an autoegression blood glucose prediction model is established. According to the universal blood glucose prediction method, re-modeling for a new object is not required after the sufficient blood glucose measurement signals are acquired, and real-time blood glucose prediction can be performed by directly calling a prediction model of other individual, so that the modeling working capacity and the complexity are simplified greatly; the modeling cost can be lowered greatly; the prediction precision is improved due to the fact that a universal model adopts a method based on frequency band separation and latent variable modeling; and the universal blood glucose prediction method is easy to implement, and indicates a new direction for research of a blood glucose prediction modeling method.

The invention discloses a dual-redundancy compensation type empennage control plane fault state control method. The method comprises the steps of building a fault state physical model; building a fault state parameterization universal model; calculating a control effect and a hinge moment limiting boundary; determining a residual maneuvering ability and a safe controllable flight envelope; binding an emergency disposal envelope; and performing online use. According to the method, the fault state analysis range is optimized and reduced, so that a maximum safe controllable flight envelope is obtained with a minimum calculation amount; a mathematic model is simplified; a floating yaw angle in a flight process is obtained by adopting a reduced order interpolation method in a control model, so that accurate calculation of the floating-state yaw angle is realized; and the emergency disposal envelope is bound in advance, so that a safe flight range is preset for online emergency. In addition, the influences of the hinge moment of the control plane and the efficiency on the residual maneuvering ability of an aircraft are comprehensively considered, and the height and speed ranges meeting safe flight requirements are preset for fault emergency disposal of the control plane, so that the survivability of the aircraft is improved.

The invention relates to a method for generating a free-form surface turning tool path through a control point drive projection. The method comprises the steps that a plane perpendicular to the Z axisof a workpiece coordinate system is built at the position zd away from the top of the to-be-processed free-form surface in the workpiece coordinate system, an equidistant spiral line is generated inthe plane and discretized, discretized points are converted into a cylindrical coordinate system (rho, theta, zd), the to-be-processed free-form surface is rotated by the angle theta around the Z axis, the smallest distance delta between each point of the tool edge curve on the equidistant spiral line and the rotated to-be-processed free-form surface is calculated, and therefore the coordinate (rho, 0, zd-delta) of the tool control point is obtained, wherein a tool is a cylindrical turning tool. The projection driving track of the tool control point is preferentially generated, and stability of feeding movement of the tool in the X direction is ensured. By means of the method, a universal model of cylindrical diamond turning tools rather than only zero degree front angle tools is built, and the defects of traditional tool path design methods are overcome.

The invention discloses a turbo-shaft engine self-adaptive component-level simulation model construction method. The method comprises the following steps: step A, acquiring parameters of various worksections of a turbo-fan engine according to various component aerothermodynamics features of the turbo-shaft engine, and establishing a nonlinear component-level dynamic universal model about the turbo-shaft engine over-idling state; step B, designing a volume tracking filter, estimating an unmeasured performance feature parameter of a turbo-shaft engine gas circuit component in the obtained non-linear component-level dynamic general model, wherein the gas circuit component comprises a gas compressor, a gas turbine, and a power turbine; and step C, automatically correcting the flow and efficiency feature graph of each gas circuit component by using the estimated performance feature parameter, and applying the adjusted gas circuit component feature parameter to computing the component aerothermodynamics parameter to obtain modified model output data, thereby establishing the self-adaptive component-level simulation model of over-idling state. The model mismatch problem caused by turbo-shaft engine individual difference and performance degradation is solved through the method disclosed by the invention.