118results about How to "Efficient modeling" patented technology

PCT No. PCT / EP96 / 01272 Sec. 371 Date Nov. 21, 1997 Sec. 102(e) Date Nov. 21, 1997 PCT Filed Mar. 22, 1996 PCT Pub. No. WO96 / 29679 PCT Pub. Date Sep. 26, 1996The present invention concerns improved motion estimation in signal records. A method for estimating motion between one reference image and each frame in a sequence of frames, each frame consisting of a plurality of samples of an input signal comprises the steps of: transforming the estimated motion fields into a motion matrix, wherein each row corresponds to one frame, and each row contains each component of motion vector for each element of the reference image; performing a Principal Component Analysis of the motion matrix, thereby obtaining a motion score matrix consisting of a plurality of column vectors called motion score vectors and a motion loading matrix consisting of a plurality of row vectors called motion loading vectors, such that each motion score vector corresponds to one element for each frame, such that each element of each motion loading vector corresponds to one element of the reference image, such that one column of said motion score matrix and one motion loading vector together constitute a factor, and such that the number of factors is lower than or equal to the number of said frames; wherein the results from the Principal Component Analysis on the motion matrix are used to influence further estimation of motion from the reference image to one or more of the frames.

Described are methods, systems and apparatus for hypothesizing a biological relationship in a biological system. A database of biological assertions is provided consisting of biological elements, relationships among the biological elements, and relationship descriptors characterizing the properties of the elements and relationships. A biological element may be selected from the database and a logical simulation may be performed within the biological database, from the selected biological element, through relationship descriptors, along a path defined by potentially causative biological elements to discern a biological element hypothetically responsible for the change in the selected biological element. The logical simulation may be either a backward logical simulation, performed upstream through the relationship descriptors to discern a hypothetical responsible biological element, or a forward logical simulation, performed downstream through the relationship descriptors to discern the extent to which the perturbation generates the observed change in the selected biological element.

The invention discloses a complex building three-dimensional modeling method based on point cloud data. The method includes the following steps: step one, scanning a building by laser and obtaining complete laser point cloud data of the surface of the building; step two, constructing a two-dimensional line map of the building; and step three, reconstructing a three-dimensional entity model. The modeling method avoids restrictions of a conventional modeling method, and can construct a building three-dimensional model in a quick, accurate and highly efficient manner.

Methods and apparatuses to design and analyze digital circuits with time division multiplexing. At least one embodiment of the present invention efficiently models subsystems connected by a TDM channel by introducing equivalent delays in the connections for the subsystems, where the delays are determined according to the upper bounds of the delays caused by the TDM channel. The TDM channel is modeled with its equivalent delays. Thus, a transformation tool is allowed to take into account the original constraints and time budgeting of the sending subsystem and the receiving subsystem. The problem of asynchronous clock domains is eliminated; and, simulation time of the multiplexed circuit is also improved. In some embodiments of the present invention, multiple TDM slots are assigned to a particular signal to reduce the equivalent connection delay caused by the TDM channel for the particular signal. In some embodiments of the present invention, timing simulation is performed using the equivalent delays to avoid the simulation of the TDM hardware; and, the simulation time step does not have to be reduced due to asynchronous clock, resulting in reduced simulation time.

A method and associated device for moving an image of displayable content displayed on a touchscreen of the device. Movement of an object along the touchscreen of the device toward an outer edge of the touchscreen is detected, and in response, the displayed image is moved toward the outer edge in synchronization with the detected movement of the object. It is determined that the object has traversed the outer edge of the touchscreen so as to no longer be touching the touchscreen, and in response, one or more motion sensors are activated to monitor the object for continuing movement of the object. The one or more motion sensors ascertain the continuing movement of the object away from the outer edge, and in response, the displayed image is moved toward the outer edge in synchronization with the ascertained continuing movement of the object.

The invention discloses a modeling method of a finite element model for an overhead power transmission tower-line coupling system and belongs to the technical field of ice resistance assessment for an overhead power transmission line. The modeling method comprises the following steps: utilizing a computer to firstly establish a finite element model library of the overhead power transmission tower, a guide line and a ground wire through a program, then building a finite element model basic structure of the power transmission tower-line coupling system, and using a geometric nonlinear finite element form finding analytic method to build an accurate finite element model of the overhead power transmission tower-line coupling system under the self-gravity action, so as to realize quick and efficient establishment of the finite element model for the overhead power transmission tower-line coupling system. The method has the advantages of simplicity, strong operability, less modeling workload, high efficiency, accuracy, reality and reliability in the model, high precision, strong applicability and the like. The modeling method can be widely applied to establishment of the finite element model for the overhead power transmission tower-line coupling system, in particular to establishment of the large-area multi-line overhead power transmission tower-line coupling system, and provides accurate and reliable basis for assessment of the ice resistance.

The invention discloses a revit three-dimensional platform-based pile foundation automatic generation and three-dimensional calculation method, which is realized based on software Microsoft excel, revit 2015, YJK 1.7.1.0 and DynamoInstall 0.8.0. The method comprises the following steps of generating a curved surface of a supporting layer; designing a pile; converting a model; and performing statistics on the length of the pile. According to the method, in a Revit three-dimensional design platform, a pile foundation can be automatically generated according to calculation or a CAD drawing and a three-dimensional model of the supporting layer and is subjected to three-dimensional calculation, wherein the supporting layer model is generated according to three-dimensional coordinates of geological exploration data by adopting visual programming software Dynamo; and the method is simple in operation, efficient in modeling and accurate in statistics.

The invention provides a real-time three-dimensional face modeling method based on depth information; the method does not adopt any previous standard face models but realizes the three-dimensional real-time modeling through registration and integration of a plurality of face depth images. The method comprises the following steps: systematically building depth information acquired from kinect; separating facial images from the depth images; back projecting, so as to form three-dimensional point cloud; smoothing, registering, integrating, drawing and displaying. With the adoption of the real-time three-dimensional face modeling method used for the computer graph and image processing and based on the depth information, a three-dimensional real-time face model required by a user can be rapidly generated only through that the user sits in the front of kinect, so that the cost and time spent on three-dimensional face modeling through laser scanning in the past are greatly reduced, and errors caused by using two-dimensional images for three-dimensional face modeling are avoided, so that three-dimensional real-time face modeling is realized at a lower cost.

Disclosed are methods, systems and apparatus for constructing assemblies of biological knowledge constituting a biological knowledge base, and for subsetting and transforming life sciences-related data and information into biological models to facilitate computation and electronic reasoning on biological information. A subset of data is extracted from a global knowledge base or repository to reconstruct a more specialized sub-knowledge base or assembly designed specifically for the purpose at hand. Assemblies generated by the invention permit selection and rational organization of seemingly diverse data into a model of any selected biological system, as defined by any desired biological criteria. These assemblies can be mined easily and can be logically reasoned with great productivity and efficiency.

Businesses typically have large amounts of data about customer transactions and other customer information which is not fully utilized. The present invention provides a means of using this information to make predictions about future customer behavior, for example by estimating the probability that a customer will leave a bank. Using these predictions the business is able to take action in order to improve its performance. Using customer data a Bayesian statistical model is generated and this model used to generate statistical estimators of customer behavior. The statistical model is formed using hidden Markov model techniques by clustering customer data and attributes (e.g. Age, sex, salary) into a finite number of states. The number of states is unobserved and considered random. Bayesian prior probability distributions are specified and combined with the data to produce Bayesian posterior probability distributions. Using these Bayesian posterior probability distributions the statistical estimators are obtained. For example, Monte Carlo sampling techniques are used or alternatively the posterior distributions are calculated numerically or analytically.

A method of system design, and more particularly a method of designing systems that achieve a set of performance goals using a hierarchically partitioned system representation wherein performance simulations are performed at multiple levels within the hierarchy and are combined to simulate a system level result in order to reduce the aggregate time required for performance simulation.

According to various implementations, a demand response (DR) strategy system is described that can effectively model the HVAC energy consumption of a house using a learning based approach that is based on actual energy usage data collected over a period of days. This modeled energy consumption may be used with day-ahead energy pricing and the weather forecast for the location of the house to develop a DR strategy that is more effective than prior DR strategies. In addition, a computational experiment system is described that generates DR strategies based on various energy consumption models and simulated energy usage data for the house and compares the cost effectiveness and energy usage of the generated DR strategies.

A system for developing an application program having functionality that corresponds to a finite state machine (FSM) model includes a visual interface that generates a graphical environment on a display for displaying an FSM model representing functionality of the program, a dynamic state machine processor that uses XML descriptions associated with the FSM model to generate the program executed at run-time, and an extensible graphic user interface that provides the end-user interface features to the end-user as generated during run-time by the processor based on the FSM model.

The invention discloses a universal simulation box used for three-dimensional discrete element modeling and simulation of a rock and soil mass. 1) a universal simulation box is established, specified-size boundary plates in six directions of a box body are generated, the boundary plates are composed of a series of sphere particles, smaller-size buffer boundary pressure plates are respectively generated inside the six boundary plates, and the three-dimensional simulation box is established; 2) a particle accumulation body is generated in the box body, and no-gravity particles are randomly generated in the box body; 3) a three-dimensional model of different structures is established, files including delamination and demarcation coordinate files are imported, the particles outside an outlineare removed, and the three-dimensional model of the structures is formed; 4) material properties of the rock and soil mass are assigned to the three-dimensional model, a material attribute file of therock and soil mass is imported, parameters of the rock and soil mass are converted into parameters of the particles according to conversion formulas, the parameters are assigned to the particles, anda three-dimensional discrete element model with specified elastic properties and failure properties is established; and 5) loading of force, displacement and vibration is carried out through the boundary pressure plates, displacement and vibration are applied through boundaries, loads such as stress action are applied through the pressure plates, iteration operating is carried out, and a result is output.

The invention discloses a Kaplan turbine adjusting system dynamic model suitable for electric power system analysis, which comprises a speed governor model, a guide vane control system model, a blade control system model, a water turbine model and a water diversion system model, wherein the guide vane control system model and the blade control system model forms a Kaplan turbine dual adjusting system, the blade control system model takes a combined relationship existing between guide vane opening degrees and blade opening degrees into account, and the combined relationship is obtained by adopting a quintic polynomial curve fitting method; and the water turbine model takes the correction function of blade angles on water turbine efficiency into account on the basis of analyzing non-linear models, the mechanical power output of the water turbine model is affected by the guide vane opening degrees and blade opening degrees together, and the nonlinearity between the guide vane opening degrees and the mechanical power is metered and is described by adopting cubic polynomial fitting. The Kaplan turbine adjusting system dynamic model is exquisite and clear in structure, has distinct and easily-obtained model parameter meanings, is fast and efficient in modeling process, and has high practicability.

An audio processing circuit includes a crosstalk cancellation circuit that is advantageously simplified for use in audio devices that have closely-spaced speakers. In particular, crosstalk filtering as implemented in the circuit assumes that the external head-related contralateral filters are time-delayed and attenuated versions of the external, head-related ipsilateral filters. With this assumption, the circuit's crosstalk filtering is configurable for varying audio characteristics, according to a small number of settable parameters. These parameters include configurable first and second attenuation parameters for cross-path signal attenuation, and configurable first and second delay parameters for cross-path delay. Optional sound normalization, if included, uses similar simplified parameterization. Further, in one or more embodiments, the audio processing circuit and method include or are associated with a defined table of parameters that are least-squares optimized solutions. The optimized parameter values provide wider listening sweet spots for a greater variety of listeners.

A system and method for object tracking using probabilistic mode-based multi-hypothesis tracking (MHT) provides for robust and computationally efficient tracking of moving objects such as heads and faces in complex environments. A mode-based multi-hypothesis tracker uses modes that are local maximums which are refined from initial samples in a parametric state space. Because the modes are highly representative, the mode-based multi-hypothesis tracker effectively models non-linear probabilistic distributions using a small number of hypotheses. Real-time tracking performance is achieved by using a parametric causal contour model to refine initial contours to nearby modes. In addition, one common drawback of conventional MHT schemes, i.e., producing only maximum likelihood estimates instead of a desired posterior probability distribution, is addressed by introducing an importance sampling framework into MHT, and estimating the posterior probability distribution from the importance function.

A volumetric representation of a hair simulation model determines collective hair attributes. To determine inter-hair collisions, vertices include average velocities of the adjacent portions of the model. The average velocities determine target velocities. Forces for the model are determined from the target velocity values. To direct hair to a desired pose, vertices include target and current density values representing the density of adjacent portions of the model in the desired pose and current position, respectively. The differences in density values determine pressure forces applied to the model. To determine the illumination of the hair, vertices include density values representing the density of adjacent portions of the model. The density values define a hair surface, and signed distance values relative to the surface are determined for the vertices. Normal vectors are determined from the gradients of the signed distance values at locations corresponding the positions of the hairs.

The invention discloses a photovoltaic grid-connected control method and system based on a wave trap and a proportional resonance controller. The method comprises the steps of: establishing a maximumpower point tracking model, a positive and negative sequence separation model, a current control model and an inverter control model with harmonic suppression, wherein the maximum power point trackingmodel calculates the start or stop of maximum power point tracking according to an input voltage amplitude signal; enabling the positive-negative sequence separation model to calculate positive-negative sequence components of the power grid voltage; enabling the current control model to calculate a power grid active and reactive current reference value according to the power grid voltage amplitude;, wherein the inverter control model comprises a voltage outer loop control model with a wave trap and a current inner loop model adopting a proportional resonance controller added with harmonic suppression control, and calculates an inverter output voltage reference value according to the positive-negative sequence components of the power grid voltage and the power grid active and reactive current reference value. According to the invention, the interference of the harmonic component on the system under the asymmetric fault is solved, and the electric energy quality of the whole photovoltaic grid-connected system in the low-voltage ride through process is improved.

A hearing aid includes a hearing aid housing enclosing a microphone for converting sound into an audio signal, first feedback compensation means for providing a first feedback compensation signal of signals picked up by the microphone by modeling an internal mechanical feedback signal path of the hearing aid, second feedback compensation means for providing a second feedback compensation signal by modeling an external feedback signal path of the hearing aid, subtracting means for subtracting the first and second feedback compensation signals from the audio signal to form a compensated audio signal, processing means, connected to an output of the subtracting means, for processing the compensated audio signal, and a receiver, connected to an output of the processing means, for converting the processed compensated audio signal into a sound signal.

The invention discloses a finite element parametric modeling method of a power transmission steel pipe pole. Parameters of the steel pipe pole are identified and extracted, an APDL command stream file of ANSYS software is utilized, a finite element parametric modeling program of cylindrical segments and cross arms of different shapes, specifications and structural styles is established, steel pipe fracture surface characteristic parameter calculation, static calculation and dynamic calculation modules are developed, and after calculation is completed, needed data and images are automatically analyzed and extracted through a program. According to the finite element parametric modeling method, mechanical calculation efficiency and quality of the steel pipe pole are effectively improved, the defects that the ANSYS software is high in difficulty in mechanical calculation of the power transmission steel pipe pole, poor in pertinence, low in special software calculation precision, limited in calculation conditions, insufficient in calculation data and the like are overcome, and a good analysis platform is provided for technical staff.

Disclosed is an analysis methodology and equivalent RLC circuits that accurately model the effects of packaging circuitry, bond wire circuitry and other sources of cross talk within an integrated-circuit signal transmission system.

A method and an apparatus are provided for discriminating between a voice region and a non-voice region in an environment in which diverse types of noises and voices exist. The voice discrimination apparatus includes a domain transform unit for transforming an input sound signal frame into a frame in the frequency domain, a model training / update unit for setting a voice model and a plurality of noise models in the frequency domain and initializing or updating the models, a speech absence probability (SAP) computation unit for obtaining a SAP computation equation for each noise source by using the initialized or updated voice model and noise models and substituting the transformed frame into the equation to compute an SAP for each noise source, a noise source selection unit for selecting the noise source by comparing the SAPs computed for the respective noise sources, and a voice judgment unit for judging whether the input frame corresponds to the voice region in accordance with the SAP level of the selected noise source.

A radio planning method and apparatus for determining the setting scheme of base stations in an indoor environment is provided. A radio signal propagation model is generated including a theoretical attenuation part and an environment affecting part. Through on-site measurements, a site radio signal propagation characteristics database is constructed combining the indoor radio signal propagation model and on-site measurement results. Based on the environment-dependent database, a radio signal map representing the radio signal distribution to be generated in the site in the case of placing any type of base station in any position is generated, using the indoor radio signal propagation model. By applying a signal-to-quality mapping, the distribution of a specific quality metric for any base station is obtained. Thus, by inputting different base station parameters, respective radio signal maps can be generated to optimize positioning of base stations.

The invention discloses a no-reference video quality evaluation method based on three-dimensional spatial-temporal feature decomposition, which comprises the following steps of: constructing a qualityprediction network consisting of a spatial-temporal distortion feature learning module and a quality regression module, generating a no-reference training data set and a no-reference test data set, training the spatial-temporal distortion feature learning module and the quality regression module, and outputting the quality evaluation score value of each distorted video in the test set. The invention is used for accurately and efficiently extracting the quality perception characteristics of the time-space domain content from the input distorted video, the corresponding prediction quality scoreis obtained at the output end of the network, and the method has the advantages that the result is more accurate and the application is wider when the quality of the non-reference video is evaluated.

The invention discloses an impact type water turbine regulating system for electric power system stability analysis. The system comprises a regulator model, a spray needle servo system model, a deflector servo system model and an impact type water turbine model, wherein a signal input end of the regulator model inputs electric generator frequency and electric generator electromagnetic power; signal input ends of the spray needle servo system model and the deflector servo system model are connected with signal output ends of the regulator model; a signal input end of the impact type water turbine model is connected with signal output ends of the spray needle servo system model and the deflector servo system model; the regulator model calculates output of the regulator model according to input set frequency signals; the spray needle servo system model calculates opening degree output of a spray needle according to input of the regulator model; the deflector servo system model calculates opening degree output of a deflector model according to the set frequency signals; and the impact type water turbine model calculates mechanical power output of the impact type water turbine model according to opening degree input of the spray needle and opening degree input of a deflector. The system is exquisite and distinct in structure, well-defined and available in model parameter, fast, efficient and accurate in modeling process and high in practicability.

A system and method for object tracking using probabilistic mode-based multi-hypothesis tracking (MHT) provides for robust and computationally efficient tracking of moving objects such as heads and faces in complex environments. A mode-based multi-hypothesis tracker uses modes that are local maximums which are refined from initial samples in a parametric state space. Because the modes are highly representative, the mode-based multi-hypothesis tracker effectively models non-linear probabilistic distributions using a small number of hypotheses. Real-time tracking performance is achieved by using a parametric causal contour model to refine initial contours to nearby modes. In addition, one common drawback of conventional MHT schemes, i.e., producing only maximum likelihood estimates instead of a desired posterior probability distribution, is addressed by introducing an importance sampling framework into MHT, and estimating the posterior probability distribution from the importance function.

A method of treating the surfaces of medical instruments which are contaminated with prions includes contacting the surface with a composition containing a source of peroxide ions, such as hydrogen peroxide, at a molar concentration of at least 1.5M peroxide (equivalent to approximately 5% hydrogen peroxide) and preferably, about 2M peroxide (approximately 7% hydrogen peroxide). The composition is optionally in the form of a gel. The composition is retained in contact with the surfaces for about 1-2 hours until all or substantially all prion contamination is removed.

To provide efficient and effective modeling of data set, the data set is initially separated into several subsets which can then be processed independently. The subsets themselves are chosen to have some internal commonality, thus providing effective independent tools where possible. This commonality may include correlation between variables or interaction amongst the variables in the subset. Once separated, each subset is independently modeled, creating a subset model having predictive qualities related to the data subset. Next, the subset models themselves are aggregated to generate a overall final model. This final model is predictive of outcomes based upon all data in the data set, thus providing a more robust stable model.