65results about How to "To overcome the large amount of calculation" patented technology

The invention provides a pilot frequency information and satellite ephemeris joint Doppler frequency shift estimation and compensation method which includes the steps: a receiving pilot frequency signals from a low-orbit satellite by a ground terminal k; b acquiring satellite ephemeris data of the latest time tk, the frequency and the phase of carrier waves and the frequency and the phase of pseudo codes based on the pilot frequency signals by the ground terminal k; c calculating Doppler frequency shift between the ground terminal k and the low-orbit satellite based on satellite ephemeris information of the pilot frequency signals corresponding to the latest time tk, the frequency and the phase of the carrier waves and the frequency and the phase of the pseudo codes; d adjusting the frequency of the pseudo codes and the frequency of the carrier waves based on the Doppler frequency shift, and performing Doppler compensation when uplink signals are transmitted. The Doppler frequency shift is estimated and compensated by a high-precision pilot frequency method with small calculated amount, and the Doppler frequency shift is preferentially estimated and compensated by a high-precision orbit ephemeris method when the terminal suddenly cannot receive the pilot frequency signals due to reasons such as blocking of tall buildings.

The invention provides a logistics cargo volume non-contact measurement method based on a computer binocular stereo vision technology and a point laser range finding technology. According to the method, a point laser range finding supplementary means is introduced; a point laser rangefinder is used to acquire the correspondence among the depth of a measurement point on a cargo object, the distance from an initial point and the point coordinate on an image; the incidence relationship between geometric projections of images shot by left and right cameras is established; the geometric projection correlation area of corresponding feature points in left and right images is positioned and set; image stereo matching of left and right image feature points is carried out in the set geometric projection correlation area of the corresponding feature points; and full width feature point extraction is carried out on the left image, which greatly reduces the range of image matching search and the calculation cost. According to the invention, the problem of the uniqueness of the solution of a spatial point reduction problem is solved; the problems of mis-matching and leakage matching in the image matching process are avoided; and the validity and the accuracy of image stereo matching are greatly improved; and the accuracy and the speed of the measurement of a binocular stereo vision system are improved.

The invention provides an encryption and decryption mechanism and an internet of things lock system using the encryption and decryption mechanism. The encryption and decryption mechanism is a hybrid encryption and decryption mechanism. The internet of things lock system comprises an intelligent lock and a controller. Communication is performed between the intelligent lock and the controller. The controller is communicated with other internet of things equipment or internet terminals. The intelligent lock and the controller are respectively and internally provided with a safety module. The safety module is provided with an encryption and decryption function. Encryption and decryption operation of the safety modules is carried out on the information transmission between the intelligent lock and the controller. According to the invention, the internet of things lock system can be connected with other internet of things equipment or internets, a user is enabled to safely receive lock state information and remotely control the intelligent lock on equipment such as a PC, a notebook computer and a mobile phone, the safety performance is good, and the internet of things lock system can be widely applied to important places relatively high in safety requirement.

A smooth procession cone parameter estimation method based on high-resolution ISAR imaging mainly solves the problems that joint estimation on cone geometrical parameters and motion parameters in the parameter estimation process of a smooth cone is difficult to carry out, and the calculated amount is large and the needed prior information amount is large in narrow-band imaging and parameter estimation. The method includes the steps of 1, obtaining frequency in ISAR recording, namely, a slowness-time domain echo, 2, estimating the number of Doppler ambiguity times of the echo by utilizing a curve fitting method, 3, compensating the number of Doppler ambiguity times of the echo, 4, correcting range walk of the echo, 5, carrying out the ISAR imaging on echo data by utilizing a matched filtering method, and accurately estimating position information of a scattering center, and 6, carrying out the joint estimation on cone sizes, radar sights and angles of precession by utilizing a least square fitting method. The smooth procession cone parameter estimation method has the advantages of being easy to operate, high in estimation accuracy, small in amount of needed prior information, and capable of carrying out the joint estimation on the cone geometrical parameters and the motion parameters.

The invention discloses a vanishing point extraction method, a camera calibration method and a storage medium. The vanishing point extraction method comprises the following steps: acquiring continuousN frames of images according to a vehicle-mounted camera to extract invariant edge images; further fitting vanishing points according to effective straight lines in the invariant edge image. According to the vanishing point extraction method provided by the invention, a driver does not need to deliberately keep the vehicle driving path parallel to the lane line, and images of the vehicle drivingpath parallel to the lane line can be automatically screened and extracted in a vehicle driving scene for vanishing point extraction and calculation, so that the vanishing point extraction method hasno very high requirements on actual driving roads and scenes. According to the vanishing point extraction method and the vehicle-mounted camera calibration method of the traffic signboard, the problems that an existing camera parameter calibration method is large in calculation amount, prone to being disturbed by the external environment and the like are solved, the robustness is good, and the applicability is high.

The invention discloses an ionosphere chromatography imaging hybrid inversion method based on a conjugate gradient method. An absolute total electron content and a relative total electron content are calculated with a scattering effect being taken into consideration, based on this, by use of a hybrid insertion method combining a multiplication algebraic reconstruction method with a conjugate gradient method, high-precision inversion is carried out on electron density space distribution on the basis of an ionosphere chromatography imaging technology. First of all, by use of three-frequency beacon data, with the ionosphere scattering effect being taken into consideration, a scattering effect time delay item is added to absolute total electron density insertion and relative total electron density inversion, and an ionosphere total electron content is obtained through three-frequency differentiating; secondary, an ionosphere to-be-inversed area is selected, and through combination with space geometric calculation, a projection matrix of chromatography imaging is obtained; and finally, ionosphere electron density distribution is obtained by use of the hybrid insertion method combining the multiplication algebraic reconstruction method with the conjugate gradient method. The method provided by the invention has the advantages of high precision, good reliability and the like, thereby being applied to atmosphere space monitoring of ionosphere electron density, earthquake calamity prediction and the like.

The invention provides a double-layer satellite network routing method based on packet data pre-storage and segmented transmission, and aims to solve the technical problems of large information transmission delay and high packet loss rate due to incapability of adapting to frequent change of satellite network topology in the prior art. The method comprises the following implementation steps that: a satellite network ground control center acquires packet pre-stored data; lower-layer satellite groups to which lower-layer satellite nodes belong are partitioned; the satellite nodes in a plurality of lower-layer satellite groups establish a lower-layer satellite node routing table; higher-layer satellite nodes acquire lower-layer satellite group information; the higher-layer satellite nodes establish a higher-layer satellite node routing table; a user transmits a service data packet to a lower-layer satellite to which the user accesses; the lower-layer satellite nodes perform routing forwarding on the service data packet; and the higher-layer satellite nodes perform routing forwarding on the service data packet. Through adoption of the double-layer satellite network routing method, the speed and accuracy of information transmission forwarding are increased, and meanwhile the satellite calculated amount is reduced. The double-layer satellite network routing method can be applied to a double-layer satellite network.

The invention discloses a motor fault-tolerant control method and device. The method includes the following steps: collecting non-fault five phases of currents of a six-phase motor in a current sampling period, and converting the five phases of currents into five current components under a decoupled coordinate system; using a mathematical model of the motor and the five current components to predict the phase current value of each phase of the motor in the next sampling period, and predicting the optimal voltage vector output by a motor controller in the next sampling period according to the instruction value of each phase of current; converting the optimal voltage vector into five voltage components under the decoupled coordinate system, and limiting the amplitude of a voltage vector synthesized from a-axis and d-axis voltage components; and transmitting the a-axis and d-axis voltage components after amplitude limiting back to a phase coordinate system, converting the final optimal voltage vector into the duty ratio per phase, and adjusting the drive signal of each phase of voltage according to the duty ratio per phase to drive the motor. The phase current harmonic of the six-phase motor under the open-circuit fault tolerance condition of one phase of winding is significantly reduced while the dynamic performance of the motor is not affected.

The invention relates to a novel solution method facing to flight delay, which is used for researching based on an air traffic network and calculating a maximal flow by using the disappearing probability of a derivation system of a discrete time disappearing and queuing method, thereby judging whether a flight has changing possibility. The method provides the problem of solving flight delay from a network angle, leads an airplane to fly by changing a flight as much as possible under the premise of ensuring the safe flight of the airplane, reduces the loss of passengers and increases the reputation of an airline company.

The invention belongs to the technical field of cooperative control, and discloses a multi-robot cooperative trajectory information processing method adopting a discretization method. The method comprises the following steps that each robot in a multi-robot system obtains an optimal pre-planning trajectory through an improved D* algorithm before running, and the robot predicts a position of a collision point in advance; and after other robots are found in the communication range of the robot, real-time updating of the environment is carried out through a cooperative control algorithm, and therobot automatically judges re-planning of an optimal path of the current position to a target point. According to the method, the thoughts of sliding mode control and prediction control are combined,the core algorithm uses the improved D* algorithm, and a new control algorithm, namely a Sliding Mode D* algorithm, SMD* for short, is provided. The method provided by the invention is real-time on-line distributed trajectory planning, and overcomes the problems of large calculated amount and trajectory local optimization of prediction control strategies in a plurality of time domains in the priorart.

The invention belongs to the field of parking lot path planning in intelligent transportation, and discloses an intelligent parking control method and system, a storage medium, a computer program anda terminal. The method comprises the following steps: constructing a superposed data energy field through the obtained physical information of a parking lot, and completing the recommendation of parking spaces; performing regular statistics on the parking duration of all parking spaces of the parking lot, fitting a statistical result, and superposing the fitting result and the original data energyfield to complete parameter updating; calculating real-time weights of all roads through real-time physical information of the parking lot, constructing a real-time undirected weighted graph of the parking lot, and planning a real-time optimal path by using an improved Dijkstra algorithm; and displaying the result and continuously optimizing the result by utilizing the obtained real-time physicalinformation of the parking lot until a user finishes parking. According to the invention, the problems caused by many parking spaces and irregular distribution of parking spaces in large parking lotsare effectively solved, and the method has better dynamics and real-time performance.

The invention discloses a pressure sensor temperature compensating method based on an FOA-optimized SOM-RBF. The method comprises the following steps of (1), normalizing sample data which are acquired through a pressure calibration experiment and randomly dividing the sample data into training data and testing data, establishing a basic RBF network model by means of the training data, determining the number of hidden layer nodes of the RBF network by means of iteration convergence speed and precision stability; (2), establishing an adaptive SOM network by means of testing data and the hidden layer node number for obtaining a central value of the RBF network; and (3), performing optimization searching on an RBF network expansion parameter by means of FOA for obtaining a whole optimized RBF network, and finally inputting the testing data into the network for obtaining compensated output.

The invention discloses a data encryption method and device applied to an electric energy meter and a storage medium. The method comprises the steps: obtaining a public key ciphertext, and decryptingthe public key ciphertext through an authentication public key, so as to obtain a public key of a management module; and the random number generated by the random number generator is encrypted throughthe public key to obtain a random number ciphertext, and the random number ciphertext is sent to the management module, so that the management module can decrypt the random number ciphertext througha private key of the management module to obtain the random number to realize synchronization of the encryption key. And finally, encrypting or decrypting the communication data by taking the random number as an encryption key. Therefore, the data volume of the public key and the random number of the management module is small, asymmetric encryption is carried out on the public key and the randomnumber, the problem of large calculation amount can be solved, and the safety is high; the communication data is encrypted symmetrically due to the fact that the data volume of the communication datais large, and the used encryption key is a random number, so that a key management big database is not needed, and the problem that an electric power company needs to additionally add the key management big database can be solved.

The invention discloses a geometric precision factor calculation method for a dual-constellation integrated navigation system. According to a calculation formula for calculating the geometric precision factor of the dual-constellation integrated navigation system, when a geometric matrix H is in the form of a square matrix, the calculation formula for calculating the geometric precision factor is converted. Through calculating a det(HHTW) and a tr[adj(HHTW)], the geometric precision factor of the dual-constellation integrated navigation system can be obtained. According to the technical scheme of the invention, the conventional calculation formula is converted and the det(HHTW) and the tr[adj(HHTW)] are respectively calculated. In this way, the defect that the traditional calculation method is large in calculation amount and divergent in calculation process can be overcome. Meanwhile, the rapid and accurate calculation of the geometric precision factor of the dual-constellation integrated navigation system is realized.

The invention discloses a compressed sensing signal reconstruction method based on a conjugate gradient method. According to the invention, under the condition of known sensing matrixes and observed signals, the reconstruction of a source signal with sparsity under the white gaussian noise environment can be achieved by the conjugate gradient method. According to the compressed sensing signal reconstruction method, the deficiency that in the prior art the reconstruction method based on orthogonal matching pursuit is high in complexity and the deficiency that the prior art based on the gradient descent method is slow in rate of convergence and low in reconstruction accuracy are overcome, thus the source signal can be reconstructed with lower complexity and higher reconstruction accuracy in actual application.

The present invention discloses a hyperspectral dimensionality reduction method based on spectral-spatial information maintenance.<{EN3}>The method introduces waveband selection into the hyperspectral dimension reduction and employs the waveband selection to select a waveband subset having the maximum difference; and the method fully utilizes the spectral-spatial similarity between samples on the selected waveband subset so as to improve the ground object recognition rate, and can be used for fields such as remote sensing ground object ground object observation, military reconnaissance and criminology assistance, etc. The method introduces waveband selection into the hyperspectral dimension reduction and employs the waveband selection to select a waveband subset having the maximum difference; and the method fully utilizes the spectral-spatial similarity between samples on the selected waveband subset so as to improve the ground object recognition rate, and can be used for fields such as remote sensing ground object ground object observation, military reconnaissance and criminology assistance, etc.

The invention relates to a multi-target tracking algorithm based on multi-feature matching, which comprises the steps of firstly, establishing a feature matrix of all targets in allusion to a problemthat the number of matching features is too small when a measuring point is associated with a target, wherein the feature matrix includes test statistic features and Doppler frequency features of alltargets; secondly, comparing features of all association points with the feature matrix of the target when the optimal association point is searched so as to find out an association point with the highest matching degree with the target; and finally, determining the motion state estimation value, test statistics and Doppler frequency features of the target at the current tracking moment to estimate the motion state of the target after the current tracking moment. The multi-target tracking method solves a problem of inaccurate target trajectory tracking when the trajectories of multiple targetsare intersected and overlapped through establishing the feature matrix and finding the association point which is the most matched with the feature matrix of the target.

The invention discloses a forest smoke and fire detection method based on video understanding, a storage medium and equipment, and belongs to the field of computer vision video understanding and forest smoke and fire video monitoring. The method comprises: obtaining a forest smoke and fire image; performing forward calculation on the forest smoke and fire image by adopting a neural network model comprising a 2D network layer and a 3D network layer; the confidence coefficient of the forest smoke and fire area is obtained, whether a forest fire occurs or not is judged by comparing the confidencecoefficient with a set confidence coefficient threshold value, when the confidence coefficient is larger than the confidence coefficient threshold value, it is considered that the fire occurs in theforest, and when the confidence coefficient is smaller than or equal to the confidence coefficient threshold value, it is considered that the fire does not occur in the forest. According to the method, network model parameters can be reduced, and the precision and efficiency of forest smoke and fire detection are effectively improved, so that forest smoke and fire can be efficiently and accuratelyidentified. Meanwhile, the invention discloses a storage medium and equipment comprising the storage medium, and the equipment can directly carry out engineering deployment and is used for efficiently and accurately detecting forest smoke and fire.

The invention relates to a digital oscilloscope capable of displaying waveforms of equivalent sampling in a raster display and a setting method of equivalent sampling points thereof. A new data address pair and an old data address pair are compared, when the data of the two pairs are different and the difference value is smaller than a predetermined value, a pixel corresponding to the data in the new data address pair is set as a new sampling point, and a pixel corresponding to the old data address pair and pixels between the pixel corresponding to the old data address pair and the new sampling point are set as auxiliary sampling points on the raster display. In virtue of the jitter characteristic of the sample data, small lines formed through the connection of the new sampling point and the auxiliary sampling points is established, and in virtue of the small lines and the visual staying phenomenon generated when the displayed traces of the waveforms are refreshed at a higher speed, a user can see the mutual connection relationship of the sampling points at two different rows on the raster display. The digital oscilloscope capable of displaying waveforms of equivalent sampling in the raster display and the setting method of equivalent sampling points thereof have the characteristics of simplicity and facilitation of realization, moreover, the connection relationship between the two adjacent sampling points can be established more realistically.

The invention discloses a spectrum compression method based on KL (Karhunen-Loeve) transformation, which comprises the following steps of: cutting and partitioning an original spectrum image; carrying out feature extraction on the spectrum image, which is partitioned into blocks, by using the KL transformation, and acquiring a compressed spectrum image according to number of eigen values required to be extracted. The spectrum compression method based on the KL transformation overcomes the problems of difficult real-time realization due to large computational burden and the like in the prior art and realizes the high-efficiency and high-fidelity compression of mass spectrum data.

The invention discloses a group label authentication method based on secondary residual lightweight RFID, and mainly solves the problems of high communication overhead, low authentication efficiency and poor expansibility in the existing RFID group label authentication. The method comprises the following steps: firstly, initializing parameters, storing a private key encryption value of a tag in abackground database in a pre-calculation manner, then realizing bidirectional authentication between a reader and an electronic tag in a broadcast group authentication manner, and finally, generatinga group proof by the reader, and carrying out legality verification on a tag group. Compared with the prior art, the method has the advantages that the calculation amount of the electronic tags and the consumption of hardware resources are reduced, the communication safety is ensured, the efficiency and the expansibility of the reader for authenticating the plurality of tags are improved, and theapplication range is wider.

The invention discloses a mixing dynamic clustering method in CoMP based on coalition games. The method mainly solves problems in the prior art that implementation complexity in a CoMP system clustering scheme is relatively high and performance improvement is limited. Main steps comprises: dividing coordinated multiple points transmission CoMP users, establishing a pre-coordinated cluster, generating a preference list, reporting related information, establishing a stable coalition, and forming a coordinated cluster. The invention provides the mixing dynamic clustering method based on coalition games, realizes compromises of gain and complexity in a static clustering technology and a dynamic clustering technology, and effectively improves user throughout and resource utilization rate, and low complexity improves network performance.

The invention provides a wave band selecting method for a determinant point process. The wave band selecting method comprises the steps of 1), dividing the wave band of original hyperspectral data, and generating different candidate wave band subsets; 2), evaluating the wave band subsets, and selecting a candidate waveband subset which accords with the determinant point process; and 3), according to the property of an elementary determinant point process, calculating appearance probability of the candidate wave band subset which accords with the determinant point process, and probability increase represents appearance probability increase of an optimal candidate wave band subset. The wave band selecting method has advantages of settling a problem of high redundancy in the original hyperspectral data, improving data expression, and overcoming a defect of low discriminative property in an existing method.

The invention provides a weak and small target change intelligent image detection method comprising the following steps that step one: foreground and background segmentation: step 11: the adaptive threshold of the frame of image is obtained; step 12: foreground and background segmentation is performed on the image through combination of the image segmentation algorithm so as to obtain an ideal binary segmentation image; step two: motion detection: step 21: local normalization is performed on the acquired image; step 22: block matching motion estimation is performed on the binary segmentation image, and two motion detection binary images are combined to obtain the motion result image; and step three: target locating: less than 3 motion points within eight neighborhoods are filtered firstly;then four points are expanded in the four neighborhoods of the rest target points and the expanded image is obtained; then each independent target block of the expanded image is extracted and the blocks of which the area is greater than 15 act as the real target blocks; and finally all the detected motion targets are marked. The invention also discloses a weak and small target change intelligentimage detection device.

The invention provides a large power grid quiescent voltage stability situation evaluation method and system based on linear deduction. The method comprises the following steps: obtaining a stabilitymargin index and a voltage amplitude under an estimated tide section by utilizing linear deduction calculation under a second-level time scale; and constructing a voltage stability situation evaluation index reflecting the power grid operation development trend based on the stability margin difference between the adjacent sections, and judging the system operation development trend according to the size of the voltage stability evaluation index. According to the method, the stability margin index of the estimated section can be accurately and quickly estimated by adopting a linear deduction method; the method is advantaged in that a defect of large calculation amount caused by Jacobian matrix inversion operation of a traditional method is overcome, real-time demands of subsequent prevention and control optimization decisions are adapted, the voltage stability situation evaluation index is constructed, and the operation development trend of the electric power system can be directly determined through the index.

The invention discloses a description method of a two-dimension equal brightness color gamut. The description method of the two-dimension equal brightness color gamut includes the following steps of picking out eight peaks of a cube according to the red green blue (RGB) value and the CIELAB value of all boundary points of the RGB cube, sequencing the eight peaks of the cube according to the L* value, judging the cubic sides where the eight peaks belong to and two adjacent surfaces which intersect the equal brightness color gamut, comparing the L* value of nine sample points of each side in order, processing two surfaces, corresponding to the side, of the RGB cube, calculating a certain amount of plane intersection points of the RGB cube, connecting all boundary intersection points of the equal brightness color gamut according to the sequence of hue angles on the RGB cube, obtaining accurate description of the equal brightness color gamut, converting the RGB value of all boundary points on the RGB cube into the CIELAB value, connecting all boundary points on an equal brightness plane in CIELAB space, and obtaining accurate description of boundaries of the equal brightness color gamut. The description method of the two-dimension equal brightness color gamut is simple and high in accuracy.