893 results about "Calculation error" patented technology

A method for operating a memory device (24) includes encoding data using an Error Correction Code (ECC) and storing the encoded data as first analog values in respective analog memory cells (32) of the memory device. After storing the encoded data, second analog values are read from the respective memory cells of the memory device in which the encoded data were stored. At least some of the second analog values differ from the respective first analog values. A distortion that is present in the second analog values is estimated. Error correction metrics are computed with respect to the second analog values responsively to the estimated distortion. The second analog values are processed using the error correction metrics in an ECC decoding process, so as to reconstruct the data.

The invention relates to the technical field of gait analysis in biomedical engineering and provides a human gait analyzing method and system based on multi-sensor fusion. The method comprises the steps of filtering sensor signals to eliminate the signal noise error according to human motion features, and eliminating the integral error by means of the improved zero velocity updating algorithm, so that the method and system can be adapted to different walking scenes; fusing multiple sensor data with the Denavit-Hartenberg method, and reducing the leg position calculation error; calculating the step speed, step length, step frequency, walking period and walking track of a tested person accurately during walking after error correction is conducted; establishing a gait database, and conducting statistic analysis on gait data of different tested persons with the quantile regression analysis method. By the adoption of the method and system, gait parameter measurement precision can be improved, and gait parameters of different tested persons are comparable through standardization.

The high-accuracy synchronous phasor measurement method belongs to the field of automatic measurement technology of power system. On the basis of spaced sampling circulation DFT, when the system frequency is deviated from rated frequency, the influence of frequency deviation can be calculated to make the frequency and phasor measurement have higher accuracy. The field tests show that when the sampling frequency is 4800 Hz and phasor correction calculation frequency is 200 Hz, its static accuracy indexes are: phasor magnitude error is less than 0.5%, phasor phase angle error is less than 1 deg.C and frequency calculation error is less than 0.01 Hz, and its dynamic accuracy indexes are: phosar magnitude error is less than 1%, phasor phase angle error is less than 1 deg. and frequency calculation error is less than 0.01 Hz.

There is provided a system and method for database driven action capture. By utilizing low cost, lightweight MEMS devices such as accelerometers, a user friendly, wearable, and cost effective system for motion capture is provided, which relies on a motion database of previously recorded motions to reconstruct the actions of a user. By relying on the motion database, calculation errors such as integration drift are avoided and the need for complex and expensive positional compensation hardware is avoided. The accelerometers may be implemented in an E-textile embodiment using inexpensive off-the-shelf components. In some embodiments, compression techniques may be used to accelerate linear best match searching against the motion database. Adjacent selected motions may also be blended together for improved reconstruction results and visual rendering quality. Various perceivable effects may be triggered in response to the reconstructed motion, such as animating a 3D avatar, playing sounds, or operating a motor.

Signals are separated by introducing a function having a monotonously increasing characteristic like an exponential type function as a cost function, and applying an adaptive algorithm that minimizes that cost function in terms of a signal separation matrix. That is, there is provided a signal processing apparatus that separates and outputs an original signal from the observed signal x(t), in which multiple multidimensional signals are mixed, wherein the nonlinear function 21 is operated on an input observed signal x(t) and an estimated separation matrix W(t−1) estimated at a previous cycle. Then, an error signal e(t) is calculated 22 based on y(t) formed by this nonlinear function 21, the estimated separation matrix W(t−1) estimated at the previous cycle, and the observed signal x(t) at that time. Then, based on the calculated error signal e(t), the update of the separation matrix W(t) at that time is performed 23 such that consideration weight is increased when estimation errors are large using the cost function having a monotonously increasing characteristic.

The invention discloses a battery capacity correction method based on an improved ampere-hour integral method. The method comprises the following steps: enabling a battery pack to run in a vehicle-mounted way; calculating the state of charge (SOC) by the ampere-hour integral method; judging whether the electric quantity of batteries is too low or not; judging whether the minimum battery voltage V<min> is lower than the threshold voltage V<mdy> in a capacity correction mode or not; entering the capacity correction mode; carrying out capacity correction, and then quitting the capacity correction mode; charging the batteries, and calculating the SOC; judging whether the maximum voltage V<max> of the battery pack is higher than charge cut-off voltage V<h> or not; finishing charging, storing the battery capacity Q accumulated in the charging process, and replacing the previous battery capacity Q<n> by the battery capacity Q; modifying the current battery capacity value to be Q, and modifying the value of the SOC. According to the method, the SOC values of the batteries and the stored electric quantity values are corrected at the end of the battery charging process, so that the accurate initial value of the SOC can be obtained after every time of charging is finished; furthermore, at the end of discharge, the batteries can select to enter the battery capacity correction mode, so that the current capacities of the batteries can be corrected, and thus the calculation error caused by battery aging can be eliminated.

Methods and apparatus for reducing overall seeking acoustics in a head-disk apparatus are disclosed. In accordance with one aspect of the present invention, a method for reducing overall seeking acoustics in a disk drive apparatus, which includes an actuator, involves calculating an error that is a measure of a difference between a desired trajectory for the actuator and an actual trajectory for the actuator, and calculating a preliminary gain. The method also includes determining when the preliminary gain exceeds a minimum acceptable gain limit, and updating a current command using the preliminary gain and the velocity error when the preliminary gain exceeds the minimum acceptable gain limit. The preliminary gain is generally arranged to enable the updated current command to reduce the overall seeking acoustics. The updated current command is sent to a power amplifier which then generates a seek current signal using the power amplifier and the updated current command. The updated current command allows the actual trajectory to substantially follow the desired trajectory.

It was difficult to detect a wavelength error. Further, a wavelength error of an optical add signal is accompanied by a calculation error of the number of wavelengths of a wavelength division multiplexing signal, which causes a set value of an optical signal level to become abnormal, resulting in the degradation of the optical signal. According to the present invention, part of an inputted optical add signal 118 is reflected by a mirror 117, and is thereby inputted into an optical wavelength multiplexer 105 in the reverse direction so that the optical add signal is returned to paths 115-1 through 115-16 corresponding to wavelengths λ1 through λ16. If the returned optical add signal is an optical add signal having a correct wavelength (in FIG. 1, λ16), the optical signal enters its corresponding backward direction optical detector 113-16. Accordingly, it is possible to check whether or not a wavelength of the optical add signal is correct.

The invention relates to a method for acquiring the initial oil saturation of an oil-water layer and a method for estimating the initial oil saturation of the oil-water layer of untested oil, which relate to a method for calculating the initial oil saturation in a reserve parameter log interpretation. The method solves the problem of large calculation error in the prior method for acquiring the initial oil saturation of the oil-water layer. In the method for acquiring the initial oil saturation of the oil-water layer, the initial oil saturation of a tested oil layer of the oil-water layer is calculated by application of an initial oil saturation model of the oil layer first, and corrected according to interpenetration data and oil testing data to obtain the initial oil saturation of the oil-water layer of tested oil. The method is suitable for the oil-water layer with poor correlation between the initial oil saturation and the resistivity and can be used for calculating the petroleum reserve by the volumetric method. The method for estimating the initial oil saturation of the oil-water layer of the untested oil according to the interpenetration data and the oil testing data is to estimate the initial oil saturation of the oil-water layer of the untested oil by applying and researching the average moisture content of the oil-water layer of a working area.

The invention relates to a path planning method, and specifically relates to a time window-based task segmentation multi-AGV path planning algorithm. The method comprises steps of first, generating anAGV working environment model; second, generating a task, and decomposing the task into multiple secondary stages according to different task types; and third, assigning the task by a task assigningmodule according to task priorities, picking the task out by a scheduling system from a high-priority queue, then determining which stage the task is in, if the task is not executed, assigning the task to closest AGV by using an improved A* algorithm, and setting the task state in first secondary stage; if the task is in the second or after stages, and planning a non-conflict shortest path for theAGV bound with the task by using the time widow algorithm by the scheduling system. Shortest and fastest paths are planned by using the improved A* algorithm and time window algorithm, so that the working efficiency is improved and calculation errors are reduced.

Signals are separated by introducing a function having a monotonously increasing characteristic like an exponential type function as a cost function, and applying an adaptive algorithm that minimizes that cost function in terms of a signal separation matrix. That is, there is provided a signal processing apparatus that separates and outputs an original signal from the observed signal x(t), in which multiple multidimensional signals are mixed, wherein the nonlinear function 21 is operated on an input observed signal x(t) and an estimated separation matrix W(t-1) estimated at a previous cycle. Then, an error signal e(t) is calculated 22 based on y(t) formed by this nonlinear function 21, the estimated separation matrix W(t-1) estimated at the previous cycle, and the observed signal x(t) at that time. Then, based on the calculated error signal e(t), the update of the separation matrix W(t) at that time is performed 23 such that consideration weight is increased when estimation errors are large using the cost function having a monotonously increasing characteristic.

A calculation system of fault coverage includes a data acquiring module acquiring layout information and gate net data, a layout analysis and fault link module extracting a layout element information and generating a undetected fault list, a fault detecting module generating a detected and undetected fault list, and a weight calculating module adding layout element information as weight, based on a link file between faults and layout element information to be generated based on the layout information, the gate net data, and the detected and undetected fault list.

A color deviation detection device for a color image forming device which prevents the occurrence of color deviation that is attributable to the fact that the precision of color deviation detection is low, the replacement of photosensitive bodies or developing devices is itself a cause of fluctuation in the color deviation, and the precision of the part before and after replacement is slightly different. In the color deviation detection device, the spacing between marks of the reference color and other colors, the spacing between marks of the same color and the spacing between mark sets are set as the spacing between marks within the mark sets and the spacing between mark sets, so that when the amount of color deviation is calculated for a synthesized wave comprising two or more driving irregularity frequencies that are generated by the image carrying body driving system and the transfer driving system, the calculation error caused by this synthesized wave is within a range that allows correction of the deviation of the image of a plurality of colors.

The invention provides a method for pre-aligning a silicon chip. The method improves accuracy and efficiency of pre-aligning the silicon chip on several aspects of optimizing control, error compensation, and the like. The method comprises the following steps: preliminarily positioning a gap by adopting a stepping fall method, and calculating a lowest position of the gap by adopting a reference method; and compensating data for collection points of the gap, and calculating a form center of the silicon chip by applying a mode of matrix fitting. Therefore, the method improves calculation accuracy of the form center to a great extent, only needs once data sampling of a CCD linear sensor to position accurately, and improves pre-aligning accuracy and efficiency. In addition, through correcting pre-aligning error to correct calculation error of the form center of the silicon chip, the method further improves the pre-aligning accuracy.

To prevent calculation errors and fraudulent acts and reduce cost by automatic monitoring, a wirelessly communicating game monitoring system includes an identifying information recording device, attached to playing cards or the like, for recording identifying information of the card; an identifying information reading device for reading wirelessly the information recorded in the identifying information recording device; a control device for performing various kinds of calculations or determinations required in the process of games using the identifying information read with the identifying information reading devices; and a display divce for displaying the results of the calculation or determination made with the control divce. The system also includes stake money handling devices for players to operate and enter stake money amounts, an output divce for outputting summed results after the end of games, and a recording divce for recording identifying information and calculation results. The game monitoring system is built into a game playing table on which playing cards are dealt to play games.

The invention discloses a heart left ventricle segmentation method based on a deep full convolutional neural network. According to the method, a deep learning idea is introduced into heart magnetic resonance short-axis image left ventricle segmentation; The process is mainly divided into a training stage and a prediction stage, in the training stage, a preprocessed 128 * 128 heart magnetic resonance image serves as input, a manually processed label serves as a label of a network to be used for calculating errors, and along with increase of training iteration times, the error of a training setand the error of a verification set are gradually reduced; And in the test stage, inputting data in the test set into the trained model, and finally outputting prediction of each pixel by the networkto generate a segmentation result. According to the method, segmentation of the heart magnetic resonance short-axis image is achieved from the perspective of data driving, the problem that manual outline drawing is time-consuming and labor-consuming is effectively solved, the defects of a traditional image segmentation algorithm can be overcome, and high-precision and high-robustness left ventricle segmentation is achieved.

An information processing apparatus, which provides images for stereoscopic viewing by synthesizing images obtained by capturing an image of real space by a main image sensing device and sub image sensing device to a virtual image, measures the position and orientation of the main image sensing device, calculates the position and orientation of the sub image sensing device based on inter-image capturing device position and orientation held in a holding unit and the measured position and orientation of the main image sensing device. Then the information processing apparatus calculates an error using the measured position and orientation of the main image sensing device, the calculated position and orientation of the sub image sensing device, and held intrinsic parameters of the main image sensing device and sub image sensing device. The information processing apparatus calibrates the held information based on the calculated error.

A triaxial magnetic electronic compass error compensation method based on depth learning. An implicit error model is trained for compensating non-linear error in magnetic compass measurement and improving the orientation accuracy of the magnetic compass. The error model training consists of two stages: a first stage is pre-training, and a second stage is reverse trimming by using a back-propagation algorithm for fine-tuning all layers of the network, and reducing the error of model training. The magnetic compass calibration and compensation procedure is to use depth learning algorithm training to obtain a non-linear error model, and the distorted measurement magnetic field is inversed back to a true magnetic field value, thereby reducing the calculation error of course angle. The invention aims at nonlinear error of magnetic compass and provides the error training method based on depth learning; compared to random initialization of a traditional neural network, the weight of each layer locates in a better position of parameter space, so as help to improve the convergence of the algorithm and model training accuracy and achieve high-precision orientation of magnetic compass.

A color deviation detection device for a color image forming device which prevents the occurrence of color deviation that is attributable to the fact that the precision of color deviation detection is low, the replacement of photosensitive bodies or developing devices is itself a cause of fluctuation in the color deviation, and the precision of the part before and after replacement is slightly different. In the color deviation detection device, the spacing between marks of the reference color and other colors, the spacing between marks of the same color and the spacing between mark sets are set as the spacing between marks within the mark sets and the spacing between mark sets, so that when the amount of color deviation is calculated for a synthesized wave comprising two or more driving irregularity frequencies that are generated by the image carrying body driving system and the transfer driving system, the calculation error caused by this synthesized wave is within a range that allows correction of the deviation of the image of a plurality of colors.

The invention relates to an online evaluation approach to evaluate the maximum power supply capacity of urban power network, belonging to the technical field of advanced application of electric power system dispatching. The method employs data base connection modes(ADO and ODBC), reads the relative network topology and network nodes in EMS and analyses the topology of the urban power network by means of an adjacency matrix to build up a model for calculating the maximum power supply capacity of the urban power network; the model is a linear programming model based on DC power flow and takes the maximum load of the network as the target function, and power balance, rated capacities of the branch lines and power restriction of the nodes as the constraint condition. In the program, the linear programming is worked out through improved simplex method and error analysis is carried out to the result. The model has the advantages of big calculation speed and small calculation error as for light load network and is suitable for power networks that require repeated optimization and adjustment. Results from a great amount of calculation with the program show that the method is of efficacy and applicability.

The invention discloses a WSN (wireless sensor network) rapid self-positioning method based on triangle form estimation. From the aspect of triangle form estimation, a triangle centroid positioning algorithm having the minimal error is studied, and a concept of effective triangle is proposed. The triangle centroid algorithm is used on effective triangles and the error in positioning is minimal. The positioning algorithm is used on all triangles which satisfy basic conditions of effective triangle. All solved possible points are formed into a polygon. The centroid is obtained again, and an estimated position of an unknown node is obtained. Accidental calculation error is prevented by using anchor node information in a network and through a method of obtaining a mean value from multiple possible results. A method of two points positioning is introduced. In the case of only two anchor nodes, the positioning of the unknown node is realized by using an auxiliary anchor node. The positioning coverage rate of nodes is effectively improved without increasing hardware equipment and complexity.

The invention discloses a bridge bottom surface crack detecting method. The real size of cracks is reduced by binocular vision; the errors are greatly avoided; the condition that in the monocular vision, the shooting plane of a camera in the monocular vision is not parallel to the bridge bottom surface, so that a shot crack image in only the projection of the crack on the shooting plane of a monocular camera is avoided; in the monocular vision, the crack picture is subjected to simple image processing, so that the calculation error is great; only the projection size of the crack on the shooting plane of the monocular camera is obtained; the size is not the real size of the crack; in the image processing aspect, improved median filter is used. Compared with the traditional median filter, the method has the advantages that the condition that all pixel points in the image need to perform median replacement is avoided; only detected noise points need to perform median replacement; by the method, the detail information of the crack in the image is greatly preserved; the excessive smoothing of the crack image after wave filtering is avoided.

The invention discloses a method for simulating and predicting runoff, which includes: selecting bare land and at least one experimental area, measuring the runoff of the bare land and the experimental area in different time periods; The fitting error between the obtained secondary runoff and the secondary runoff obtained by the simulation calculation is the minimum, and the change of the runoff curve value CN corresponding to different land use types is obtained. The runoff model is associated with the runoff curve value CN; according to the runoff The change of the curve value CN, with the goal of minimizing the fitting error between the measured total runoff and the simulated total runoff, is to obtain the CN average value corresponding to different land use types; according to the secondary runoff simulated calculation error brought by the CN average value, A correction coefficient k is obtained, and the simulated calculation value of the secondary runoff volume is corrected according to the correction coefficient k. The invention has the characteristics of good runoff simulation effect.

The invention discloses a ranging method based on measurement of the laser pulse flight time. According to the ranging method based on the measurement of the laser pulse flight time, based on the synchronous clock pulse measurement method, a self-adaptive gradient adjustment slope generator and a differential amplification circuit are adopted, not only can the time duration of the part, synchronous with a system clock, in the laser pulse flight time be accurately measured, but also that the time duration of the part, not synchronous with the system clock, in the laser pulse flight time can also be measured extremely accurately, and thus accurate measurement of a target distance is achieved. The time difference ta between the moment when laser is emitted and the nest rising edge of the system clock and the time difference tb between the moment when the laser returns and the next rising edge of the system clock are linearly converted into a voltage V1 and a voltage V2 respectively, a digital value in linear proportion to ta-tb is output after differential amplification and AD conversion, calculation errors caused by data truncation can be effectively avoided, measurement errors caused by factors such as circuit nonlinearity can be effectively reduced through self-adaptive gradient adjustment conducted through the slope generator, and the ranging method is suitable for ranging occasions with the high accuracy requirement.

The invention discloses a detection method of a permanent magnet motor rotor position. The detection method comprises: (1) calculating alpha and beta weight of a stator flux linkage; (2) setting up auxiliary d'-q' coordinate system; (3) figuring out angle from d' axis to d axis, and then obtaining position information of the rotor. By introducing the auxiliary d'-q' coordinate system which has same position angle with the stator flux linkage vector and same revolving speed with a d-q coordinate system, physical quantities in the coordinate system are all direct current when the coordinate system is operated in a steady state, thereby simplifying computation process, and reducing requests to a processor and a sensor. Calculation error is smaller due to the fact that influence of a filter can be basically ignored. Meanwhile calculation can automatically adjust according to the former calculation, and correct an inductance timely, so that final error is lessened.

In order to precisely control rotation of a motor, it is necessary to precisely detect a position of a rotor. Even if an inexpensive position detecting sensor having relatively low precision such as a Hall sensor is used, it is possible to provide a motor drive control apparatus capable of precisely detecting the position of the rotor by calculating an electrical angle of the rotor (rotor position) by calculating a back-EMF from a detected voltage, detected motor current, a motor winding resistance value and an inductance value, and by periodically correcting a calculation error of the calculated electrical angle. If such a motor drive control apparatus is used, it is possible to provide an inexpensive electric power steering apparatus having excellent steering feeling.

The invention discloses a method for increasing the calculation speed of an SMP cluster system through an MPI and an OpenMP in a hybrid parallel mode. The method comprises the steps that the number of MPI processes which can be called and the number of OpenMP threads are determined according to the number of calculation nodes and the number of usable CPU kernels in the nodes; an existing sub sparse matrix, a sub initial vector, a block vector and the maximum calculation tolerance are read in each process; a multi-thread compiling instruction is started for each process; circulation calculation of a precondition conjugate gradient method is conducted on all the processes, and the number of OpenMP barriers in circulation calculation is only three; if calculation errors are smaller than an allowable value, circulation is over, and otherwise circulation continues; calculation results of all the processes are reduced, and solutions of questions are output; when parallel calculation is conducted, firstly, MPI processes are started, multi-process decomposition is conducted on the questions, parallel among the nodes is started, each MPI process is allocated to one calculation node, and information is exchanged between the processes trough message transmission; then, in each MPI process, OpenMP guidance instructions are used for establishing one set of threads, and the threads are allocated to different processors of the calculation nodes to conduct parallel execution.

The invention provides a measurement system, a measurement method, an evaluation method and a compensation method for a depth camera error. The measurement system for the depth camera error comprises a verifying device, a depth camera, a distance measurement device and a support, wherein the depth camera is used for measuring and obtaining a depth image of a measured plane; the measurement accuracy of the distance measurement device is higher than that of the depth camera; the support is used for fixing the depth camera and the distance measurement device and enabling measurement initial points / surfaces of the depth camera and the distance measurement device to be positioned in the same base line and directly face the measured plane. By adopting the measurement system provided by the invention, the measurement on the depth camera error can be realized, error and deviation can be calculated, and evaluation on the depth camera and compensation on the error can be carried out through the error and the deviation.

An error compensation method for multi-axis controlled machines generates an error compensation model for compensating for geometric error of a multi-axis controlled machine by separating an error matrix of a tool tip from an error synthesis model of a multi-axis controlled machine and calculates an error compensation value using the error compensation model and an inverse kinematic model so that the error matrix becomes an identity matrix. The error compensation method can reduce calculation error and calculation time due to complicated numerical analysis and compensate for error in the multi-axis controlled machine, regardless of its configuration.