31results about How to "No increase in computation" patented technology

The invention discloses a binary chop tracking method of shortest paths in a network map, which is characterized in that the method comprises the following steps: extracting the step number of the shortest paths from a source node to a gathered node according to a shortest path step number matrix; reducing and separating the step number by half into the front step number and the back step number; searching nodes with the step number equal to the front step number in a source node row vector of the shortest path step number matrix, using the nodes as a front step number node set, searching nodes with the step number equal to the back step number in a gathered node column vector of the shortest path step number matrix, using the nodes as a back step number node set; taking an intersection set of the front step number node set and the back step number node set as middle nodes; using each node in the intersection as the reference; using the method for solving the middle node of the source node and the node, and the middle node of the node and the gathered node until the shortest path step number between the solved nodes is 1; and sequentially inserting the middle nodes into corresponding positions to obtain all shortest paths from the source node to the gathered node. The method of the invention is used for finding all shortest paths between two points, and the invention can provide various schemes for the preferential path selection of the network map abstracted from actual data.

The utility model relates to a modified maximum likelihood registration method based on information fusion, belonging to the technical field of target tracking, which comprises the following steps: step one, a passive sensor in multi-platform system is responsible for measuring the target position within observation region, and obtaining redundant information of the target within blind area; step two, with the use of the redundant information in the multi-platform system, the target position in the blind area is calculated; step three, the deviation of the passive sensor is estimated with the maximum likelihood method according to the target position calculated in step two; step four, the estimated deviation is adopted to convergence criterion; step five, the deviation values meeting the convergence requirement is registered to the passive sensor to estimate the target state further. The utility model has the advantages of small calculation quantity, simplicity and effectiveness, and easy operation; thus, the method can be widely used in robotics, intelligent transportation, air traffic control and aerospace, aviation, navigation and other fields.

The invention provides a spaceborne ultrahigh-resolution sliding bunching SAR (synthetic aperture radar) imaging method. The technical scheme includes: firstly, dividing full aperture data obtained in one-time observation of spaceborne sliding bunching SAR into a plurality of sub-apertures, and respectively establishing a local linear aperture distance process model under the sub-aperture at each sub-aperture; secondly, subjecting each piece of sub-aperture data to sub-aperture focusing processing and simultaneously compensating inconformity of focusing positions and phase positions caused by piecewise linear aperture distance processes; and finally, synthesizing each piece of sub-aperture data into full aperture data, and solving the problem of azimuth shift caused by large azimuth swath width through nonlinear frequency modulation de-rotating to finally realize imaging. Compared with existing methods, the spaceborne ultrahigh-resolution sliding bunching SAR imaging method has the advantages that calculated amount is not increased too much, and high efficiency of calculation is maintained.

The invention discloses a low coherent interference demodulation method based on a chromatic dispersion characteristic and an envelopment peak value. According to the method, an F-p sensor is chosen to serve as a sensing element, a double refraction optical wedge serves as an optical path difference space scanning element, an interference fringe is formed in a zero optical path difference local area, an F-P cavity length is demodulated according to the interference fringe, and therefore atmospheric pressure is felt. According to the method, firstly, Fourier filtering is carried out on an interference signal; then a low precision distance corresponding to a peak value position according to a peak value position obtained by the envelopment peak value method and a cluster refractive index of a low coherent interference system dispersion element is obtained; finally, a theoretical phase position is calculated by the utilization of the peak value position chromatic dispersion characteristic, and the distance error of the envelopment peak value method is determined according to the theoretical phase position and a measured phase position and high-precision demodulation is achieved. Under the condition that prior information is not needed, the system chromatic dispersion characteristic and the envelopment peak value are utilized to achieve wide-range high-precision measurement of low coherent interference. The low coherent interference demodulation method is applied to the optical fiber sensing filed, the three-dimensional shape detecting and optical chromatographic technique, and other distance measurement fields.

The invention provides a method for capturing a GNSS-BOS (Global Navigation Satellite System-Binary Offset Carrier) modulation signal under the condition of low signal-noise ratio aiming at a BOC modulation signal. The method comprises the following steps of: firstly, stripping a carrier of an intermediate-frequency input signal; secondly, changing values of each phase in a Local_PRN (Pseudo Random Number) signal and a Local_BOC signal modulated by the BOC from 1 to 0; and thirdly, acquiring the superposed intermediate-frequency input signal and the like. According to the method disclosed by the invention, the multi-peak characteristic of an autocorrelation function of the BOC modulation signal can be eliminated; the false detection and leak detection generated by the multi-peak characteristic when a GNSS receiver captures the BOC modulation signal can be avoided; the computational load for improving the correlation operation and coherent accumulation method is greatly reduced; the processing time of the GNSS receiver to the input signal is shortened; and the real-time property of the receiver is enhanced.

The invention discloses a hardware optimization method based on an SM3 password hash algorithm. The method includes receiving a message m with the length of l bits , and filling m to obtain a messagem'; starting from the highest bit of m', and grouping according to the length of 512 bits, m'= B (0), B (1),..., B (n-1); expanding the grouped message B (i) according to an extension method, and generating 16 32-bit extension words W0, W1, ..., W15, one dynamic message extension word Wj' and one intermediate variable word WWj; and placing the grouped message into a compression function for operation to obtain variables Aj-Hj and the i-time iteration value Vi of V; subjecting the variables Aj-Hj and the i-time iteration value Vi of V obtained by operation to the exclusion operation to obtain V(i+1); and outputting a hash value V(N). According to the method, the operation efficiency of the SM3 password hash algorithm is effectively improved, and the software and hardware implementation costof the SM3 password algorithm is greatly saved, the calculation amount of the algorithm is not increased, and the calculation efficiency of the algorithm is guaranteed.

The invention discloses a Distributed orthogonal decode transmitting difference space-time coding decoding scheme based on a wireless sensor network, comprising the following steps: 1) in a narrowband wireless sensor network, two information source nodes synergetically transmit information to a same information destination node to determine an one by one mapping relationship between difference coefficient pairs and primitive symbol pairs based on a phase modulation module and a primary reference phase; 2) based on the determined mapping relation, the two information source nodes perform a differential coding to the respective primitive transmitting symbol to map on a differential coding symbol set; 3) the transmission of a set of information has three time slots, wherein, in the first and second time slots, the two information source nodes broadcast and transmit differential coding symbols respectively, and at the same time, process a receiving signal of the other information source to form an orthogonal space-time code structure for transmitting by using a decode transmitting cooperative scheme; 4) in the third time slot, the two information source nodes normalize the receiving signal firstly, and then transmit a treated signal to the information destination node at the same time in a same power; 5) the information destination receives signal of the three time slots to add the first and the second time slot signals and combining the receiving signal of the third time slot, and the difference coefficient pairs relative to the corresponding primitive transmitting symbol can be decoded by using the difference decode arithmetic of the invention; 6) based on the mapping relationship between the primitive symbol and the difference coefficient pairs, the primitive transmitting symbol can be inverse mapped , and at least, the primitive transmitting bit can be obtained by demodulation.

The embodiment of the invention provides a method and a device for judging the static voltage stability of a power system. The method comprises the following steps of acquiring the distribution probability of each node voltage between different voltage intervals in a power system; according to the weight between different voltage intervals, weighting the distribution probability to obtain a weighted voltage entropy, and further judging the stability of the static voltage of the power system. According to the embodiment of the invention, the condition that voltage levels between every two intervals are different is considered, and the distribution probability is weighted according to the weight between different voltage intervals to obtain the weighted voltage entropy. Furthermore, the stability of the static voltage of the power system is judged based on the weighted voltage entropy. Therefore, the specific parameters of the power system do not need to be known. The method and the device are small in calculation amount, simple and efficient. Meanwhile, the calculation amount cannot be increased along with the scale increased condition of the power system.

The invention discloses an ectopic digital volume correlation method based on displacement gradient decomposition. The ectopic digital volume correlation method based on displacement gradient decomposition comprises the following steps that primary three-dimensional imaging is conducted on a sample so as to obtain three-dimensional image data G1 (x, y, z) before the sample is deformed; ectopic deformation is conducted on the sample, secondary three-dimensional imaging is conducted on the deformed sample so as to obtain three-dimensional image data G2 (x, y, z) after the sample is deformed; a displacement field u (x, y, z) between the three-dimensional image data G1 (x, y, z) before the sample is deformed and the three-dimensional image data G2 (x, y, z) after the sample is deformed is calculated by means of DVC, and the displacement field u (x, y, z) comprises a rigid displacement field uR (x, y, z) and a deformation displacement field uD (x, y, z); a displacement gradient T (x, y, z) is calculated out by means of the displacement field u (x, y, z); a deformation displacement gradient D (x, y, z) and a rotation displacement gradient R (x, y, z) are calculated with a displacement gradient decomposition method; the rigid displacement field uR (x, y, z) is calculated by means of the rotation displacement gradient R (x, y, z) and boundary conditions; the deformation displacement field uD (x, y, z) is calculated by means of the displacement field u (x, y, z) and the rigid displacement field uR (x, y, z), and the deformation displacement field uD (x, y, z) of the sample is a three-dimensional displacement field after the sample is deformed in situ. The ectopic digital volume correlation method based on displacement gradient decomposition not only overcomes difficulties of in-situ on-line experiments in an in-situ digital volume correlation method, but also has a high degree of accuracy and high precision.

The invention discloses a cloud-rendering file high-speed transmission method based on rendering characteristics. A file checking list forms in a client system, and files which are the same with files in a network storage server are rejected. According to the invention, through file modification time and file size sequencing, a file which needs to be uploaded is searched. While uploading the file, the system begins to calculate Hash characteristic values of the next file. Through sending Hash value contrast to a server side for two times, a to-be-uploaded file, in the a client side, which is the same with files in the server side, is deleted. No computational complexity is increased, and simultaneously the quantity of file uploading can be reduced to the limit, and the total time consuming of file uploading can be reduced. According to the system, the file uploading efficiency is greatly raised; for industry characteristics of frequent uploading and downloading of large files of the rendering industry, storage space of the network server can be saved considerably. Meanwhile, time spent on uploading by clients is reduced.

The invention discloses an urban traffic model construction method based on big data. The method comprises a travel generation stage, a travel distribution stage, a mode division stage and a traffic distribution stage which are executed in sequence, in the mode division stage, a non-aggregated model is adopted; after the traffic distribution stage is executed once, the obtained motor vehicle flowof the road section is substituted into a travel distribution stage as background flow to restart calculation; and the relative error of the motor vehicle flows of the two road sections is calculated,and if the requirement of the relative error is not met, the new motor vehicle flow of the road section is substituted into the travel distribution stage again to restart calculation until the relative error meets the requirement. By adopting the non-aggregated model in the mode division stage, the model precision is improved, and meanwhile, excessive calculated amount is not increased. By meansof loop iteration of the motor vehicle flow of the road section, feedback is provided for the model building process, it is guaranteed that errors are within the precision requirement, and therefore the precision is higher, and the traffic requirement can be predicted more accurately.

The invention belongs to the field of information processing, and particularly relates to a parameter determining method of a Gaussian radial basis function agent model. According to the technical scheme, the parameter determining method includes the steps that sample space is linearly mapped into a unit cube; the local densities of sample points are calculated according to sample distribution conditions; the minimum distance between the sample point with the minimum local density and other sample points is calculated; the kernel widths of the sample points are determined; the weight coefficients of basis functions corresponding to the sample points are determined. The parameter determining method has the advantages that the method is clear in logic, easy and convenient to operate and easy to execute; the calculated amount is hardly increased with the basis-function kernel width determining method; the Gaussian radial basis function agent model obtained with the method can be commonly used for even / uneven samples, and the parameter determining method is reliable, efficient and high in accuracy.

The invention discloses a real-time image fusion system for detecting concealed weapons, the task of which is to perform real-time detection on weapons concealed on human bodies in insecurity inspection occasions. A pixel-level image fusion technique is performed by utilizing visible-light images and millimeter-wave images of people in the same scene, and a fusion method based on wavelet transform is adopted. The method gives consideration to fusion performance and hardware execution speed, and can achieve the task of detecting concealed weapons fast and effectively by utilizing high-performance DSPTMS320DM642 + FPGA hardware platform.

The invention discloses a binocular super-resolution image detection method and system based on cavity convolution and feature fusion and a medium, and the method comprises the following steps: inputting a binocular image group into a classical binocular image super-resolution network, generating a binocular super-resolution image as a negative sample set, and taking an original binocular image group as a positive sample set; cutting the positive and negative sample data sets into image blocks and randomly dividing training set image blocks and test set image blocks; preprocessing the image blocks, converting the image blocks into grayscale images, and filtering the grayscale images by using a high-pass filter to obtain filtered images; constructing a binocular super-resolution image detection network, and inputting the training set filtering image for training to obtain a trained network; and inputting a test set filtering image into the trained network, and outputting a category corresponding to the classification with the maximum probability to obtain an image detection result. The method directly detects the input image, is suitable for detection of images of various sizes, has good detection performance, is short in detection time, and can realize real-time detection.

The invention discloses a five-dimensional hyper-chaos coupling synchronization system and a satellite physical layer encryption transmission method, and generated chaos sequence values are different due to different initial keys of two parties, and then the driving system adjusts the generated chaos sequence by taking the sequence corresponding to the response system as feedback through a coupling item so as to gradually achieve synchronization. According to the chaotic coupling synchronization system using the asymmetric keys, the key space is increased, the safety performance is improved, meanwhile, excessive calculation amount is not increased, and compared with an existing technical scheme, the chaotic coupling synchronization system is easier to implement in satellite communication.

The invention belongs to the fields of deep learning, target detection and the like, and provides a target detection method and system for enhancing foreground and background discrimination. The method comprises the following steps: generating a Mark graph with the same size as an original image according to mark information of a target in the original image; based on the original image, adopting feature networks of different scales to obtain feature outputs corresponding to the feature networks of different scales; introducing the Mark map, and adjusting the size of the Mark map to obtain Mark maps with different scales; according to the feature output corresponding to the feature networks of different scales, and in combination with the Mark maps of different scales, calculating Mark map losses under different scales; optimizing a target detection model by adopting a loss function constructed by the Mark graph loss under different scales; and based on the original image, adopting the optimized target detection model to obtain a target detection result.

The invention discloses a system for evaluating the influence of a wind power plant on radar detection performance and application thereof. The system for evaluating the influence of the wind power plant on the radar detection performance comprises a multipath effect and shielding angle calculation module, a Doppler calculation module, a field intensity distribution calculation module and a directional diagram calculation module. A simulation scene modeling module and a simulation result display module are arranged in each of the multipath effect and shielding angle calculation module, the Doppler calculation module, the field intensity distribution calculation module and the directional diagram calculation module, and are used for performing simulation scene modeling and simulation result display on calculation results of the corresponding calculation modules; and electromagnetic solving modules are arranged in the field intensity distribution calculation module and the directional diagram calculation module. According to the method, the influence of the wind power plant on the radar in different states can be calculated, the radar can be better guaranteed, the radar service guarantee level is improved, meanwhile, effective guidance is provided for scientific site selection of the wind power plant, and wind power resources are efficiently utilized.

The embodiment of the invention provides a method and a device for judging the static voltage stability of a power system. The method comprises the following steps of acquiring the distribution probability of each node voltage between different voltage intervals in a power system; according to the weight between different voltage intervals, weighting the distribution probability to obtain a weighted voltage entropy, and further judging the stability of the static voltage of the power system. According to the embodiment of the invention, the condition that voltage levels between every two intervals are different is considered, and the distribution probability is weighted according to the weight between different voltage intervals to obtain the weighted voltage entropy. Furthermore, the stability of the static voltage of the power system is judged based on the weighted voltage entropy. Therefore, the specific parameters of the power system do not need to be known. The method and the device are small in calculation amount, simple and efficient. Meanwhile, the calculation amount cannot be increased along with the scale increased condition of the power system.

The invention discloses a one-station fixed frequency-modulated continuous wave double-base SAR imaging method. The one-station fixed frequency-modulated continuous wave double-base SAR imaging method mainly solves the problems that azimuth range migration spatial-variant properties and orientation frequency-modulated spatial-variant properties can not be corrected at the same time according to an existing method. The method is achieved according to the steps that (1) a two-dimension time domain echo signal of a target is acquired, and a distance frequency domain azimuth time domain echo signal of the target is calculated; (2) azimuth range migration spatial-variant properties and orientation frequency-modulated spatial-variant properties are corrected according to the distance frequency domain azimuth time domain echo signal; (3) residue phase compensation is conducted on the corrected signal, and range-direction range migration spatial-variant properties are corrected; (4) azimuth pulse compression is conducted on the signal after range-direction range migration spatial-variant property correction, and azimuth inverse Fourier transform is carried out to acquire a target time domain image. The one-station fixed frequency-modulated continuous wave double-base SAR imaging method has the advantages of being capable of correcting azimuth range migration spatial-variant properties and orientation frequency-modulated spatial-variant properties at the same time, high in achieving efficiency and capable of being used for one-station fixed frequency-modulated continuous wave double-base SAR imaging.

The invention discloses a method for determining the vibration response of a line-connected structure with parallel connecting lines. The method comprises the following steps of: dividing the line-connected structure into a plurality of substructures, establishing a vibration response expression of all the substructures at own connecting lines, obtaining a coupling force applied to each substructure by using a continuity equation for boundaries at the connecting lines, and substituting each coupling force back into a corresponding vibration response expression to obtain the vibration response and power flow of a corresponding substructure at own connecting lines. An improved substructure line mobility method is provided by combining the substructures and line mobility, and the connecting lines are processed as basic units, and are prevented from being dispersed into a series of points and processed point by point, so that the vibration response of the line-connected structure can be determined within a wideband range, and a calculated amount is not sharply increased along with the increasing of frequency.

The invention discloses a multi-network joint auxiliary generation type knowledge distillation method. The method comprises the following steps: firstly, preprocessing an image classification data set; selecting a teacher network model according to the determined image classification data set and training the teacher network model; selecting a difficult sample generator G1 and a student network according to the determined image classification data set to form an adversarial knowledge distillation framework; establishing a target function for generating confrontation knowledge distillation; carrying out iterative training on the built confrontation knowledge distillation framework; and finally, introducing a simple sample generator G2, and alternately adjusting the student network by using the difficult sample generator G1 and the simple sample generator G2 to obtain a final result. According to the method, the simple sample generator is additionally introduced, the simple sample generator directly copies the trained difficult sample generator, the calculation amount is not increased, and the operation is simple. Under the condition that the simple sample generator helps the students to review the simple samples through the network, a better effect is finally achieved on the target task.

The invention discloses an image feature extraction method based on an affine invariant of a transformed image moment, and the method comprises the steps: carrying out the translation transformation of an obtained original image, obtaining a central geometric moment representing the original image, and obtaining a geometric moment under a polar coordinate system through coordinate system transformation. Performing linear transformation on the geometric moment to obtain a first expression of the polar radius moment, performing popularization operation on the first expression to obtain a second expression of the polar radius moment, and replacing the geometric moment in the affine invariant standard formula with the second expression to obtain the affine invariant of the original image. And taking different values of parameters in the affine invariants to obtain image moment invariants of different orders, and obtaining affine invariant features. The problem that original affine invariants are sensitive to noise can be solved, and meanwhile the calculated amount is not increased. Along with the increase of the noise intensity, the method not only can improve the recognition rate of the image moment, but also can improve the robustness of the affine invariant of the image.

The present invention discloses a Distributed orthogonal decode transmitting difference space-time coding decoding scheme based on a wireless sensor network, comprising the following steps: 1) in a narrowband wireless sensor network, two information source nodes synergetically transmit information to a same information destination node to determine an one by one mapping relationship between difference coefficient pairs and primitive symbol pairs based on a phase modulation module and a primary reference phase; 2) based on the determined mapping relation, the two information source nodes perform a differential coding to the respective primitive transmitting symbol to map on a differential coding symbol set; 3) the transmission of a set of information has three time slots, wherein, in the first and second time slots, the two information source nodes broadcast and transmit differential coding symbols respectively, and at the same time, process a receiving signal of the other information source to form an orthogonal space-time code structure for transmitting by using a decode transmitting cooperative scheme; 4) in the third time slot, the two information source nodes normalize the receiving signal firstly, and then transmit a treated signal to the information destination node at the same time in a same power; 5) the information destination receives signal of the three time slots to add the first and the second time slot signals and combining the receiving signal of the third time slot, and the difference coefficient pairs relative to the corresponding primitive transmitting symbol canbe decoded by using the difference decode arithmetic of the invention; 6) based on the mapping relationship between the primitive symbol pairs and the difference coefficient pairs, the primitive transmitting symbol can be inverse mapped , and at least, the primitive transmitting bit can be obtained by demodulation.