70results about How to "Takes up little memory space" patented technology

The invention declares a correction method used for attitude and course angles of a navigation system. The method comprises the following step of providing an effective method of conducting magnetometer error compensation and attitude angle error secondary modeling and correction, and realizing error correction of a whole system on the basis of an ellipsoid fitting method of improving expanded Kalman filter. The correction method is used for error correction of the attitude and course angles in an inertial integrated navigation and positioning system composed of an inertial measuring unit (IMU), a magnetometer and the like. According to the invention, a magnetic field compensation method is expanded to three-dimensional ellipsoid fitting from two dimensional elliptical fitting; a new ellipsoidal model and an improved extended Kalman filter method are utilized to conduct ellipsoid fitting; through the adoption of the method, the dynamical and real-time compensation for three-dimensional magnetic field interference of a carrier self can be effectively realized, and the accuracy in the measurement of the geomagnetic field is improved, thereby improving the precision of the course angle of the carrier; the error secondary modeling is conducted on the attitude angle information output by the navigation system, and then compensation is conducted on the output attitude angle to improve the precision of the attitude angle in real time.

The invention discloses an electrocardiogram signal feature detection algorithm based on wavelet transformation lifting and approximate envelope improving and belongs to a weak bioelectrical signal processing technology field. The current electrocardiogram signal detection technology applied clinically can not give consideration to both a detection precision requirement and a real time requirement. Electrocardiogram signal pretreatment algorithm based on wavelet lifting for improving semi-soft threshold denoising and approximate envelope improving and electrocardiogram feature detection algorithm based on a slope threshold are provided in the invention. Detection criterions are set based on waveform characteristics and time domain distribution characteristics of the electrocardiogram signals. Position detections of R wave, start-stop points of the QRS waves, P wave and T wave are carried out respectively to the electrocardiogram signals. The electrocardiogram signal feature detection algorithm provided in the invention is easy, quick and suitable for parallel processing, and occupies little memory space and is convenient for DSP chip realization. Even in strong noise and P/T wave interference circumstances, R point position can be accurately detected through the algorithm provided in the invention. An R wave false detecting rate of 105 data containing serious noise disturbance is only 0.27% compared with MIT-BIH Database annotation.

The invention discloses a rotating transformer digital converter capable of on-line failure detection and fault-tolerant control. According to the method, an electric automobile PMSM is used for controlling matched utilization of a microprocessor DSP and the rotating transformer so as to achieve a PMSM rotor position of a drive system of the PMSM. Failures of the rotor position of the drive system of the PMSM can be detected real-timely. Meanwhile, a kalman filter is adopted for identifying errors of the rotor position, and realizing self-adaptive fault-tolerant control, and therefore precision of acquiring the rotor position is improved.

The invention provides a correspondence address identifying and standardizing method which is used for solving the problem of correspondence address identification and standardization. The correspondence address identifying and standardizing method comprises the following steps: inputting a correspondence address; segmenting the input correspondence address by using an address metadata dictionary, and generating segmented address metadata groups; labeling the segmented address metadata groups, and generating labeled address metadata groups; calculating corresponding weight values of the labeled address metadata groups and outputting the address metadata group with the largest weight value; standardizing the address metadata group with the largest weight value by using the address metadata dictionary, and generating a standardized correspondence address; and outputting the standardized correspondence address. By adopting the correspondence address identifying and standardizing method, the precision of correspondence address processing is improved, and the throughput rate and recall rate of correspondence address processing are relatively high.

The invention discloses an R wave detection algorithm based on extremum field mean mode decomposition and improved Hilbert enveloping and belongs to the technical field of weak biological signal processing. An electrocardio signal pre-processing algorithm based on the extremum field mean mode decomposition and the improved Hilbert enveloping and an R wave detection algorithm based on slope threshold are provided. Detection criteria are set according to wave form characteristics and time domain distribution characters of electrocardio signals, and positions of R waves with most obvious characters and highest information amount in the electrocardio signals are detected. An extremum field mean mode decomposition algorithm improves empirical mode decomposition speed and can effectively restrain mode superimposition and boundary effect. The improved Hilbert enveloping can effectively restrain interference of noise and other characteristic waves an can also enhance energy of the R waves. The R wave detection algorithm based on the extremum field mean mode decomposition and the improved Hilbert enveloping can also detect positions of R points accurately even if interference of strong noise and large P/T waves exists. A Massachusetts institute of technology-Beth Israel hospital (MIT-BIH) data base is used for detecting the R wave detection algorithm. Sensitivity of the R wave detection algorithm is 99.94%, and positive predictive rate is 99.87%.

The invention discloses a method for realizing single-mode RAIM (Receiver Autonomous Integrity Monitoring) under a small number of visible satellites based on assistance of clock correction, which is a method for realizing single-mode RAIM under the condition that the number of the visible satellites is small in loop tracking. Clock correction prediction is carried out through a Newton interpolation model under the premise that the clock frequency of a receiver is stable, and detection and elimination of a fault satellite can be carried out under the condition that the number of the visible satellites is five, thereby improving the positioning precision, the continuity and the stability of the receiver. The method comprises the steps of: first, determining weight factor in weighted least squares through parameters such as a carrier-to-noise ratio and the like of satellite signals; then, carrying out RAIM availability detection through a false alarm rate, a missed alarm rate, an observation equation and a weight matrix, determining a detection threshold value by using a tolerant false alarm rate in a non-precision condition, and carrying out clock correction prediction for the receiver through the Newton interpolation model so as to realize detection and elimination of the fault satellite, and finally, carrying out analysis and comparison on a dilution of precision (DOP) after a clock correction auxiliary equation is added. The method disclosed by the invention can realize detection and elimination of the fault satellite under the condition that only one redundant satellite exists, reduces the space dilution of precision through the clock correction auxiliary model, and improving the positioning accuracy of the receiver and the system robustness.

The invention discloses a rapid image retrieval method, relating to a method which retrieves and displays digital images; the method solves the problem of complicated retrieval input. The method of the invention comprises the following steps: the process of creating and storing the comparison table between an image name assembly and a simplified name alphabet on an image processing device; the process of storing images on a storage medium; the process of establishing an image file chain table on the image processing device based on the images stored on the storage medium; the process of creating a hash table of the image simplified names on the image processing device based on the alphabet of the comparison table and the image file chain table; and the process of retrieving the images on the storage medium by simplified names and displaying the thumbnails of the retrieval result on the image processing device through the hash table and the image file chain table. The method of the invention enables the operator to input the simplified names of the images during the retrieval process, so as to avoid the image names expressed in complicated vocabulary; therefore, the method requires small input amount and is simple to operate, which occupies small storage space and has fast speed in the middle process; the method is suitable for hand-held image browsing devices.

The invention discloses a real-time calibration method of a magnetic sensor. The method comprises the following steps: establishing a magnetic sensor measurement full error model and integrating to obtain a simplified measurement model; rotating the magnetic sensor, and acquiring a plurality of groups of three-axis data of the magnetic sensor in the rotating process; obtaining an ellipsoid trajectory model according to the plurality of groups of three-axis data and the simplified measurement model, and obtaining an estimation of the magnetic calibration parameters based on an iterative least square method; and on the basis of iterative estimation, completing the estimation of the parameters of the magnetic sensor by adopting secondary unbiased maximum likelihood estimation. The real-time calibration method of the magnetic sensor does not need the assistance of large-scale equipment, and is low in cost, small in calculated amount and simple and convenient to operate.

The invention discloses a method and device for realizing NAT. The method comprises the following steps: creating a mapping table and a filtering table, and correspondingly setting a first key value and a second key value for inquiring the mapping table and the filtering table; when a message is sent from a private network to a public network, realizing address NAT conversion via the mapping table; when the message is sent from the public network to the private network, realizing the address NAT conversion via the filtering table; and then forwarding the message after the NAT conversion. By adoption of the method and device disclosed by the invention, diversified demands of users can be satisfied, and the mapping table and the filtering table are simple in structures, small in internal memory space occupation and high in query efficiency. In the method and device disclosed by the invention, an address mapping relation is recorded by the mapping table, therefore the ip resource utilization rate of the public network can be improved, moreover the times of accessing an address pool in the NAT conversion process of the message can also be greatly reduced, and thus the NAT efficiency is improved.

The invention discloses a recognition method and device of ID (identity) card numbers and overcomes the defect that a mature method of recognizing ID card numbers from network data lacks at present. The recognition method includes: recognizing a character string, which may be an ID card number, from a character stream; verifying the character string, which many be the ID card number, according to ID card number encoding rules; using the ID card number, which may be the ID card number and which passes verification, as a positively effective ID card number. The recognition method and device of the ID card numbers according to the embodiment has the advantages that high-traffic webpage contents can be filtered and recognized in the network security field, accuracy is high, the speed is high, and small memory space is used in hardware equipment.

The invention discloses a simple and quick relay protection action simulation method for a power system. The method comprises the following steps: providing a setting interface for a failure action simulation environment, and setting the simulation environment according to needs; identifying the set simulation environment, namely assigning values to corresponding variables to finish initialization work; performing simulation under conditions of different failure positions and different settings of an action refusing item; when a failure position is a special position, analyzing the advanced stripping or action refusing condition of line protection and bus protection; when the failure position is an ordinary position, and the action refusing item is circuit breaker action refusing, analyzing the action condition of protection in case of a circuit breaker failure; and when the failure position is an ordinary position, and the action refusing item is relay protection device action refusing, analyzing the condition of protection matching between upper-level and lower-level components. The method is simple and easy, unnecessary calculation is omitted, the operating time is shortened, a reference is provided for the check of relay protection setting, and a reliable result is obtained.

The invention relates to an image segmentation and classification method and device, and the method comprises the steps: S1, building an image segmentation and classification network model, and achieving the segmentation and classification of image frames, wherein the segmentation and classification network model comprises a context information extraction path and a spatial information extractionpath, the context information extraction path is in communication connection with the spatial information extraction path, and the context information extraction path outputs an image classification result; the spatial information extraction path outputs an image segmentation result; and S2, training the segmented and classified network model to enable the network model to reach a preset standard.According to the network model for segmentation and classification in the method, end-to-end real-time semantic segmentation can be performed on the video acquired by the mobile terminal, the targetstate category of the scene in the image frame can be identified in real time, and semantic segmentation of the video and classification of the scene state in the image frame are completed in parallel.

The invention discloses a lexicon creation method and a system as well as a corresponding word searching method and a system. Each word is divided into N letter groups; the lengths of the n'th letter group and the following letter group thereof are not fixed; a word base is divided into N blocks; the information of the nth letter group is respectively stored in each n-grade cell index; if the letters before the n'th letter group of the jth word and the (j-1)th word are the same and the number of the continuously same letters starting from the first letter of the n'th letter group is larger than 1, then the information of the n'th letter group stored by the jth n'-grade cell index is represented by the form of a number Rj plus the rest letters of the letter group, otherwise, the information is completely represented by the form of letters, wherein n' is equal to or more than 2 and is equal to or less than N; when indexing the inputted words, the number Rj in the n'-grade cell index is identified as the continuous Rj letters starting from the first letter of the n'th letter group of the word corresponding to the front n'-grade cell index of the same group. The invention can occupy less memory space simultaneously when quickly searching the word.

The invention discloses a method for creating transition animations. The method comprises the following steps: S1: receiving a task for creating transition animations, and acquiring the attribute information of the transition animation task; S2: detecting whether a scheduler for creating transition animations is running in a static memory area of the memory, and if not, starting the scheduler and if so, mounting the received task for creating transition animations on the scheduler; S3: according to the attribute information of each acquired task for creating transition animations, creating the corresponding transition animations through the scheduler; and S4: stopping running of the scheduler after finishing all the tasks for creating transition animations. The invention also discloses an apparatus for creating transition animations. For the method and apparatus for creating transition animations, during the process for creating transition animations, when a new task for creating transition animations is received, the new task for creating transition animations is mounted on the scheduler, so that occupation of the operation resource for equipment is reduced and the utilization rate of CPU is improved.

The invention discloses an ROP and variant attack dynamic detection method based on multi-strategy instruction detection. The method is based on a binary dynamic instrumentation technology to intercept an instruction, and adopts two strategy judgment methods of a key instruction detection strategy and an attack instruction fragment feature detection strategy to realize ROP attack and variant attack detection. And the key instruction detection strategy performs characteristic analysis according to the instruction address and the instruction quantity. And the attack instruction fragment featuredetection strategy comprises an attack instruction fragment size judgment strategy and an attack instruction fragment continuous length judgment strategy according to the attack function and complexity feature analysis. According to the method, a multi-layer detection strategy is adopted, four characteristic dimensions of instruction addresses, the number, attack functions and attack complexity are integrated from two aspects of normal and abnormal instruction characteristics, and detection of ROP attacks and variant attacks of the ROP attacks is comprehensively achieved by combining a deterministic detection method and an uncertain detection method. The method is low in performance consumption and small in occupied memory space.

The embodiment of the invention discloses an application updating method and device, a terminal and a storage medium, and belongs to the field of computers. The method comprises the steps that in therunning process of an application, a patch file to be updated of the application is obtained, the patch file comprises function names of a first type file and a second function, the first type file comprises a first function, and the second function is a function for calling the first function; when the application is started next time, inserting the patch file in front of the class file of the original version of the application in the class list of the class loader; and when a class loader is used for loading a second class of files in the class files of the original version, the execution mode of the second function is updated to interpretive execution, and the second class of files comprise the second function. When the application is updated, only the patch file needs to be inserted into the class list of the class loader, consumption of system resources and memory is reduced as much as possible on the premise that the application is successfully updated, and the service life of the terminal is prolonged.

The invention discloses an octree map construction method and system. The method comprises the following steps of determining a key frame and a mobile robot pose under the key frame by adopting a laser map optimization SLAM algorithm according to laser radar and odometer data, collecting environment point cloud information, and converting the point cloud data under a camera coordinate system into a world coordinate system, splicing the point cloud information after coordinate conversion to obtain a three-dimensional point cloud map, based on the three-dimensional point cloud map, conducting loopback detection and back-end optimization on a laser map optimization SLAM algorithm, and acquiring an updated mobile robot pose and an updated three-dimensional point cloud map, filtering the updated three-dimensional point cloud map, and removing outliers of the updated three-dimensional point cloud map, and converting the filtered three-dimensional point cloud map into an octree map. Compared with a point cloud map, the octree map constructed by the method is easy to store, smaller in occupied memory space, flexible and convenient, and can be directly used for navigation.