109 results about "Error criteria" patented technology

A method and apparatus for estimating motion of a pixel block in a first frame, the method including searching a first area in a second frame to identify a first matching block that corresponds to the pixel block, the first matching block including a first error value that is a minimum of at least one error criteria between the pixel block and the first matching block, calculating a first motion vector associated with the first matching block. The method further including searching a second area in the second frame to identify a second matching block that corresponds to the pixel block, the second matching block including a second error value that is a minimum of the at least one error criteria between the pixel block and the second matching block, calculating a second motion vector associated with the second matching block and selecting a final motion vector between the first and second motion vectors based on the first and second error value.

The invention relates to a method for estimating the position of a receiver receiving code modulated signals from at least one beacon. The method comprises delimiting a region containing the receiver position based on a code modulated signal received at the receiver from at least one beacon and on available information including at least an initial information on the receiver position. The method further comprises estimating the receiver position as a position within the delimited region which minimizes an error criterion. The invention relates equally to such a receiver, to a system comprising such a receiver and to a corresponding software program product enabling an estimation of the position of a receiver.

The invention relates to a reservoir shear wave velocity prediction method based on rock physics. The method comprises the steps that (1) supposing that the bulk modulus, the shear modulus and the density of a destination interval mineral are unknown constants, the error between a longitudinal wave velocity and a measured longitudinal wave velocity is acquired according to equation modeling, and the error between the acquired density and the measured density is calculated; (2) according to the minimum error criterion, the bulk modulus, the shear modulus and the density of a mineral component are inverted through a genetic algorithm; (3) and the shear wave velocity is calculated. According to the step (1), supposing that the elastic modulus of each rock component is an unknown constant in a reservoir logging curve section, the objective function of the inversion of the logging curve can be defined that a superscript M represents a simulation longitudinal wave velocity, O represents a logging observation longitudinal wave velocity, and w Rho and w rho represent normalized weighted coefficients; and the objective function is a nonlinear function of the bulk modulus, the shear modulus and the density of each mineral component. The method can be applied to a sand shale reservoir, and carbonate rock and other complex reservoirs.

Embodiments of the invention provide a single base station-based positioning system and method. The system comprises a base station and a label, wherein the base station comprises a positioning moduleand array antennas; the positioning module is connected with the array antennas; the label is used for receiving and transmitting wireless signals so as to realize information interaction with the base station; the array antennas are used for obtaining measurement distances from the label to the array antennas and signal phases according to a distance measurement and phase measurement algorithm;the quantity of the array antennas is greater than or equal to 2; the positions of the array antennas are non-collinear; the distances between adjacent array antennas are preset values; and the positioning module is used for obtaining angle information of the label relative to the base station according to the signal phases on the basis of a given error criterion and obtaining a position of the label relative to the base station according to the angle information and the measurement distances. According to the single base station-based positioning system and method, positioning can be realizedby using a single base station and a plurality of antennas, so that the scale and cost of the system are reduced, and the positioning precision, positioning speed and system stability are improved.

A method to automatically tune control systems, the method comprising selecting a target loop transfer function for at least one plant subsystem in response to an input excitation, selecting at least one fit-error criterion for a plant subsystem transfer function, and automatically inputting the input excitation and tuning the plant subsystem transfer function to the target loop transfer function. The tuning includes automatically selecting a bandwidth of the plant subsystem transfer function from a plurality of bandwidths determined in accordance with limits of the plant subsystem, inputting the input excitation to the plant subsystem, determining the fit-error of the plant subsystem transfer function to the target loop transfer function in response to the input excitation, and continuing the selecting of a bandwidth in accordance with the fit-error criterion.

The invention discloses a method for identifying multi-view human face based on nonlinear tensor resolution and view manifold, which comprises the following steps: normalizing the size of the multi-view human face; dividing multi-view human face images into a test set and a training set by adopting a method of leaving one out; arraying the human face images in the training set into a form of tensor along the direction of identity, view and pixel information change, resolving tensor data by using high-order singular values to obtain a coefficient matrix of identity, view and pixel factors of the human face images; using a data-concept driving mode to array and interpolate view coefficients to obtain the view manifold of human face; according to the rotating objective sequence of the human face, generating the view manifold through a concept driving mode; using the nonlinear tensor resolution to map the view manifold to a data space of the multi-view human face, obtaining a modular matrix of identity coefficient, and establishing a model of the multi-view human face; and adopting an iterative algorithm based on EM-like to solve a model parameter, and achieving identification by the parameter meeting the minimum reconstructed error criterion. The method has the advantages of high accuracy and high speed, and can be used for complex human face retrieval and identification under different view angles in the field of biological characteristic identification.

A de-interlacing device and method are provided that may be used in a memory based video processor. The de-interlacer mixes the output of a temporal de-interlacer and a spatial de-interlacer. Two separate error values are used; one for the temporal de-interlacer and another for the spatial de-interlacer. The de-interlacing device calculates from the two error values, using a non-linear mapping, a mix factor used to mix between the outputs of the spatial and temporal de-interlacers.

The invention discloses a transient-feature-clustering-based household load identification method. The method comprises: an electric load feature database is established; an electric parameter of an electric load is collected, a transient event of the load is detected by using a dual-side accumulated CUSUM algorithm of a sliding window, and transient data are recorded; a clustering analysis is carried out by using a sum-of-squared-error criterion function, and a transient feature is extracted; and the extracted transient feature is compared with the electric load feature database and a household load is identified. On the basis of the collected information like the electric parameter of the electric appliance, the clustering analysis is carried out based on using a K-mean-value sum-of-squared-error criterion function by using the load transient feature as a feature quantity, thereby identifying a load with a similar or overlapped steady feature, improving the load identification precision, and realizing load identification of a household appliance or electrical equipment. Moreover, the method is simple; the calculation load is low; the electricity using behavior of the user is regularized; the power transmission losses are reduced; and the energy utilization rate is improved.

The invention provides a MapReduce-based distributed cluster processing method for large-scale data. The method comprises the steps that the large-scale data is sampled according to equal-scale non-repetition principles; sampled data is input into a MapReduce distributed parallel framework, and local density and average density of the sampled data are calculated; all the sampled data with the local density greater than the average density is found out to serve as a candidate point set of initial cluster center points of all clusters, the candidate point set is fed back to a master node, and every two adjacent candidate points in a distance two times that of a set range among all candidate points are selected to service as the initial cluster center points; the MapReduce distributed parallel framework is utilized to perform a parallel clustering task, and an average value of the distance between the data is calculated for each cluster to update the cluster center points; whether child nodes continue iteration is judged by use of a sum-of-squared-error criterion function; and all the child nodes perform clustering on the large-scale data according to the cluster center points. Through the method, parallel clustering is realized, clustering iteration times are reduced, and clustering accuracy and parallel clustering efficiency are improved.

The invention relates to a WLAN (Wireless Local Area Network) indoor single-source linear WKNN (Weighted K-Nearest Neighbor) locating method based on reference point position optimization, belonging to the field of mobile computing. The invention aims to solve the problem of selection of numbers and positions of optimal reference points in a WKNN locating algorithm under the existing WLAN indoor single-source linear environment. Aiming at the special single-source linear scene, firstly, a closed solution form of the WKNN locating algorithm with theoretic expected precision is computed at an offline state by aiming at the concrete practical single-source linear locating environment; then, reference points are subjected to optimal distribution by utilizing the relationship between an expected error and the position of the reference point as well as the relationship between the expected error and the size of a target region to meet the minimum expected error criterion, and a corresponding single-source average position fingerprint database is established; and finally, the position coordinates of a locating terminal are estimated by using a 4-neighbor-point WKNN locating method according to a signal intensity sample collected in real time at the present stage.

The invention is applicable to the field of electric energy metering and provides an electric energy metering device error self-checking method, device and system. The method comprises the steps that a system to be detected accesses the error criterion device of at least one known overall error value, wherein the error criterion device comprises an electric energy metering chip, a circuit thereof, a voltage sensor and a current sensor; each electric energy metering device and the error criterion device measure and record the respective electric energy data in a preset manner and report the data to a data processor; and an error calculator calculates the overall error of each energy metering device according to received and processed electric energy data and load current segment consideration. According to the embodiment provided by the invention, overall error self-checking of the electric energy metering device is realized; the problems that an overall error cannot be detected; errors of a current transformer and a voltage transformer of the metering device are detected in the field in the case of black out; and a large number of metering devices cannot be detected according to the law in the prior art are solved.

A computerized method of teaching spoken language skills includes receiving multiple user utterances into a computer system, receiving criteria for pronunciation errors, analyzing the user utterances to detect pronunciation errors according to basic sound units and Pronunciation error criteria, and providing feedback to the user in accordance with the analysis.

The invention discloses a prior signal-to-noise ratio estimating method based on an MMSE error criterion and used for voice enhancement, and belongs to the technical field of voice signal processing. Aimed at the prior signal-to-noise ratio estimating problem in the voice enhancement technology, the method comprises the steps of: firstly carrying out preliminary estimation on a prior signal-to-noise ratio of noised voices based on the MMSE error criterion, carrying out Wiener filtering calculation on an obtained prior signal-to-noise ratio estimated value to obtain a first system gain factor, carrying out calculation on the first system gain factor an amplitude spectrum value of the noised voices to obtain a voice power spectrum estimated value, then utilizing the obtained voice power spectrum estimated value and a power spectrum estimated value of noise to carry out estimation once again, and obtaining a final prior signal-to-noise ratio estimated value. The prior signal-to-noise ratio estimated value is substituted into a subsequent voice enhancing step for processing, and de-noised estimated voice clearing signals are obtained. The prior signal-to-noise ratio estimating method based on the MMSE error criterion can effectively inhibit background noise components in estimated cleared voices, and excessive damages to the cleared voice components are avoided, so that the hearing quality of the estimated cleared voices is improved, and the performance of a voice enhancement algorithm is improved.

A system and method are provided for reporting errors in an object-oriented software architecture environment. The method comprises: an application calling an initial method; in response to the initial method call, at least one object encountering an error in response to a subsequent method call; accumulating error information; and, creating a user-defined accumulated error report. Generally, accumulating error information includes: calling an accumulated error reporting object; and, from the accumulated error report object, calling a method for adding received error information to accumulated error information. Then, creating the user-defined accumulated error report includes calling a method for creating an error report text message by: reviewing the accumulated error information; and, matching accumulated error information with user-selected error criteria. Further, creating an error report text message may include calling a method for: recovering a text message associated with each matching error; and, logically presenting the recovered text message errors.

The invention discloses a model-free self-adaptive control method for an attitude of an assembled spacecraft. The method comprises the following steps: S1) establishing a full-format dynamic equivalent linear data model for an attitude movement of a general assembled spacecraft; S2) designing a parameter self-adaptive estimating equation and estimating a pseudo gradient for the pseudo gradient in the full-format dynamic equivalent linear data model; and S3) establishing an error criterion function according to the dynamic equivalent linear data model, and designing a weighting one-step forward controller through a minimizing error criterion function. The dynamic equivalent linear model is established for a general discrete time nonlinear system, and a modified projection algorithm is adopted for performing online parameter estimation for the unknown variable in the dynamic equivalent linear model, so that the attitude determination accuracy of a flexible spacecraft movement simulator is increased.

A method and programmed apparatus for cutting graphics from substantially-identical sheets with graphics and registration marks printed thereon using a plotter and controlled cutter and sensor movable over the sheets, including: (1) sensing work-surface positions of the marks of a sheet and calculating an expected work-surface position for each such mark based on the work-surface positions of other marks of the sheet; (2) classifying each mark as active or inactive based on a first error criterion and applying the classification to corresponding marks of a subsequent sheet, the active marks being fewer than the total number of printed marks; (3) sensing the work-surface positions of the active marks of the subsequent sheet; and (4) cutting the graphics from the subsequent sheet based on the sensed positions of the active marks, thereby reducing the time for accurate cut-processing of the subsequent sheet.

The invention discloses a line lightning strike fault pole selection method for two-end bipolar high voltage direct current transmission. The method is characterized by comprising the steps of (1) calculating the integral value of each voltage jump amount of positive electrode and negative electrode direct current power transmission line rectifier sides at a given data window length and calculating an absolute value corresponding to the integral value, (2) calculating an average value of the absolute values, substituting the average value into an algorithm starting criterion, starting an algorithm and going to step (3) if the starting criterion is satisfied, otherwise not starting the algorithm, and returning an initial state, and (3) calculating a ratio of a positive electrode absolute value to a negative electrode absolute value in step (1), substituting the ratio into a single end pole selection criterion of direct current line lightning fault, and thus judging whether the fault occurs. The method has the advantages of a small calculation amount and a simple and reliable algorithm, the communication time is saved, a possible communication error of a double-end criterion is avoided, and the method has an engineering practical significance.

A face detection training method, a detection method and an apparatus thereof are disclosed. A face detector comprises a first classifier and a second classifier. The training method comprises the following steps of collecting face and non-face images as training sample sets; extracting a brightness comparison characteristic of each training sample in the training sample sets; according to the brightness comparison characteristic, acquiring a corresponding fern characteristic; using the fern characteristic and a Bayes theorem to carry out training and acquiring the first classifier; using the brightness comparison characteristic and a minimized weight mean square error criterion to carry out P-round training, and acquiring P decision tree classifiers, wherein the P is greater than or equal to 1 and the P is an integer; and cascading the P decision tree classifiers so as to form the second classifier. The face detector acquired through applying the training method is used to carry out face detection so that complexity and a calculated amount of face detection can be reduced and detection efficiency can be increased.

A transient simulation system, methods and program product that implement an adaptive piecewise constant (PWC) model are disclosed. The invention evaluates an error criteria to determine a maximum allowable change in one of a current and a voltage; and simulates the transient conditions by implementing an adaptive step in the PWC model according to the maximum allowable change. The invention allows dynamic or static adaptation of a PWC model according to an error criteria.

The invention discloses a no-model adaptive control method for an assembled spacecraft attitude and a system thereof, wherein the method comprises the steps of performing online parameter estimation on a pseudo-Jacobian matrix in a compact-format dynamic equivalent linear model according to historical control input and historical system output of the assembled spacecraft through a minimization estimation criterion function, and obtaining an estimated value of the pseudo-Jacobian matrix; according to the estimated value of the pseudo-Jacobian matrix, through a frontward forecasting error criterion function, obtaining a control input estimated value at a next time point; and using the control input estimated value at the next time point as the control input of the assembled spacecraft at thenext time point, thereby finishing no-model adaptive control of the assembled spacecraft attitude. Through the no-model adaptive control method and the system thereof, adaptive controlling to the long-time-delay assembled spacecraft is realized.

The invention relates to a frequency synchronization method based on joint estimation carrier of frequency offset, belonging to the technical field of wireless mobile communication. The frequency synchronization method comprises the steps of: carrying out coarse frequency synchronization by using a short training field so as to correct integer frequency offset and carrying out frequency offset compensation on the basis of a coarse frequency synchronization result; by using a signal subjected to frequency offset compensation and a long training field, in combination with a segmentation related algorithm, carrying out frequency estimation to obtain a carrier frequency offset 1; obtaining a carrier frequency offset 2 on the basis of an MMSE (Minimum Mean Square Error) criterion; further obtaining a carrier frequency offset 3 on the basis of a mean square error criterion, and giving frequency synchronization results in different wireless channel environments; and finally, on the basis of the frequency synchronization results, carrying out frequency offset correction on a received signal. According to the frequency synchronization method, the synchronization mean square error of a wireless system is greatly lowered and the synchronization precision is effectively improved.

The invention discloses a multi-battery cell equalization method. The method comprises the following steps of adopting characteristic parameters (voltages, SOC, etc.) of battery cells as a basis for judging whether equalization is required for the cells; preprocessing the attribute value of battery cells in a battery pack through a z-score standardization method; and calculating the abnormal degree of the battery cells. The abnormal degree of each single cell is the sum of the Euclidean distances between the single cell and other cells remained in the battery pack. The method further comprises the steps of ordering all cells according to the abnormal degree of each battery cell, calculating the abnormal degree difference value between adjacent cells and making the two cells with the greatest difference value as an initial cluster center; performing dynamic clustering on all battery cells in the battery pack according to the sum of squared error criterion, counting the number of battery cells in each type after all battery cells are classified, and classifying those types with fewest battery cells as abnormal and those types with most battery cells as normal; judging the abnormal type and the normal type again, outputting battery cells requiring equalization and further discharging the battery cells requiring equalization through resistors.

A run-time monitor allows defining sets of run-time error criteria and corresponding diagnostic action to take when the run-time error criteria is satisfied. One way to define the run-time error criteria is to take a baseline measurement of run-time errors that occur during normal processing conditions. A run-time error criteria may then be defined that is based on the baseline measurement. In this manner, a rate of run-time errors that normally occur may be ignored, while a rate of run-time errors in excess of the run-time error criteria could automatically initiate diagnostic action. In this manner, the ability of a programmer to debug run-time errors is significantly enhanced.