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

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 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 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 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 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 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.