1580results about How to "Reduce the number of iterations" patented technology

The invention discloses an authoritative author and high-quality paper recommending system and recommending method. According to each preset theme, the recommending system calculates an author authoritative value and a paper quality paper through a plurality of factors including an author level, a citation rate, publish date and a publish periodical or a meeting level of a paper, and hereby recommends an authoritative author and a high-quality paper with the specified theme, so as to avoid authors with low authoritative values or papers with low quality values in an author or paper recommending list, and to reduce system calculation burden and improve system response time. The system and the method, on the basis of properties of academic papers, introduce relates algorithms after taking various factors affecting the author authoritative value and the paper high-quality value into comprehensive consideration, so as to improve accuracy of recommended results, which not only recommends high-quality papers to users but also remarkably shortens calculation time, and the system and the method are good in a real-time updating effect; furthermore, the system can enhance diversity of recommended results in the paper recommending list, and overcome a shortcoming of an existing system which is narrow in user view.

The invention discloses a certificate picture camera and a certificate picture photographing method. The certificate picture camera comprises a parameter configuration module, a data obtaining module, a detection reminding module, an intelligent cutting module and a photographing quality grading module. The certificate picture photographing method comprises the following steps: detecting whether photographing parameters of an intelligent terminal camera satisfy certificate picture photographing requirements or not, and if not, configuring the photographing parameters; obtaining sensor data of an intelligent terminal, portrait characteristic data, luminance data, definition data and chromaticity distortion data of a preview frame image, judging whether relevant standard requirements of a legal certificate picture are satisfied or not, and if so, obtaining original image data after pressing a photographing button; cutting the original image data so as to obtain a standard-sized original picture of the certificate picture; grading the shooting quality of the original picture of the certificate picture, and giving a suggestion according to a comprehensive grading result. According to the invention, users can photograph the certificate picture satisfying government and public security industrial standard requirements in a self-service manner.

A pre-decoder applied to a turbo decoder for decoding a punctured turbo code. The turbo code consists of a data bit stream and a plurality of parity bit streams, parts of which are punctured. The pre-decoder has an arithmetic unit for calculating estimated parity bit streams by carrying out, with respect to the data bit stream, the same algorithm used by a turbo encoder to produce the parity bit streams, a comparison unit for comparing the plurality of parity bit streams with the estimated parity bit streams, and a recovery unit for substituting estimated parity symbols for corresponding punctured parts of the parity symbol streams when related non-punctured bits of the parity bit streams are identical with corresponding estimated non-punctured parity bits. The punctured parity symbols are recovered by the pre-decoder completely, or at least partially, and provided to the turbo decoder. Accordingly, the decoding performance of the turbo decoder is enhanced.

A reduced complexity Turbo multi-user detector (MUD) processing system in multiple access communications channels that decreases the likelihood of improper decoding of the final values of interest and decreases the computation complexity for each iteration, thereby allowing for a reduction in the number of iterations performed and lowers the overall complexity without negatively impacting performance. In one form the present invention comprises a multi-user detector coupled to two or more decoder sections, two ore more recoders, and a compare and adjust section in such a manner that data flows iteratively to correct for errors in a computationally efficient manner.

The invention discloses that based on open IFFT / FFT lower reserved subcarrier OFDM system PAPR methods and devices, and the system is using IFFT / FFT transform to a peak frequency domain Consumers sequence in the transmitter to reduce OFDM system ratio of power PAPR, the method described in steps including data distribution , IFFT transformation, realizing OFDM modulation, gained time-domain signal, judgment threshold and whether the number of iterations is to achieve settings, limited Consumers peak processing, extracted through FFT frequency domain reduce-peak sequence. The installations include the transmitter and receiver, the transmitter unit increased data distribution, data option modules, judgment unit, a unit reduce-peak sequence, sequence reduce-peak insert modules; Receiver increased information extraction unit. This invention in a process of elimination-series will not lead to the increase in bit error rate, the effect of significantly reducing the PAPR, the device is simple, running FFT / IFFT the iteration times is less.

The invention relates to an AGV optimization scheduling method based on mixed particle swarm optimization. First of all, a mathematics model is abstracted from the work process of an AGV, and an object function of a scheduling scheme is determined, and secondly, the model is solved by use of the mixed particle swarm optimization based on a genetic algorithm, a stimulated annealing algorithm and ant colony optimization, and an optimization scheduling scheme is generated. According to the invention, a contrast analysis is made between the mixed particle swarm optimization and standard particle swarm optimization through examples, and the variation operation of the mixed optimization employs an ant colony optimization thinking mode, ensures intersection of individual best and group best in an intersection operation process, ensures the feasibility of the mixed particle swarm optimization and has the validity for solving large-scale scheduling tasks.

The invention elates to a human face character position method in the field of image processing technology. It first uses human face detecting method to find the human face area in the image, and then it detects eyes of human face area to fide the location of two eyes, then it according to the middle location of the two eyes, the distance between the two eyes and the angle of the two eyes to do imitate-injecting transformation to the initial ASM module so that the initial location of ASM module is near to the module which is formed by real character points, at last it dose ASM searching to the initial location after imitate-injecting transformation so as to obtain the location of human face character point.

The invention relates to a pavement crack image detection method. The method comprises the steps of: carrying out graying and filtering processing on a collected pavement image, constructing a pulse coupling neural network PCNN model, utilizing a genetic algorithm to rapidly find advantages of an optimal solution in a non-linear manner in a solution space so as to optimize important parameters of the model, and rapidly and accurately segmenting cracks and a background in the image; then according to the characteristics of the image after the segmentation, carrying out connected domain detection on the whole image, and filtering out the interference of noise and background textures; and finally, extracting a crack skeleton, calculating the maximum widths of the cracks along the normal line of the skeleton, and making marks in the original image. According to the invention, the digital image processing technology is adopted, the genetic algorithm is utilized to optimize the parameters of the PCNN model, optimization searching is accelerated, the iteration times f the PCNN are reduced, and the iteration is more liable to come to convergence, the interference resistance of the segmentation effect is relatively high, and the segmentation is more accurate; in addition, the modes of connected domain rectangularity, circularity filtering and irregular noise filtering are utilized to filter out a large number of irregular patches, and convenience is provided for the crack detection.

The invention relates to a PFH and inertial navigation based mobile context real-time three-dimensional reconstruction method. The PFH and inertial navigation based mobile context real-time three-dimensional reconstruction method is divided into three stages below: a first stage of designing a PFH based point cloud compression algorithm; a second stage of designing an inertial navigation based point cloud registration algorithm; and a third stage of finishing point cloud fusion. The PFH and inertial navigation based mobile context real-time three-dimensional reconstruction method can realize a relatively high compression ratio and can effectively reduce number of input point sets of an ICP algorithm, thereby saving computation time for point cloud registration and point cloud fusion. The number of iterations of the ICP algorithm is reduced, the rate of convergence is increased, and the real-time performance of the whole reconstruction algorithm is consequently improved.

The invention discloses a method for segmenting a multi-dimensional texture image on the basis of fuzzy C-means FCM clustering and spatial information and mainly solves the problem of poor quality of image segmentation. The realizing process comprises the following steps of: inputting the texture image to be segmented, carrying out two-dimensional discrete wavelet transformation to the image, and calculating the characteristic vector corresponding to each wavelet coefficient; segmenting the coarsest scale of wavelet transformation; calculating spatial coordinate factors corresponding to the coefficients of the coarsest scale, adding the spatial coordinate factors into an objective function of a traditional FCM clustering algorithm and obtaining the segmenting result marker mapping and the marking field of the scale; obtaining the segmenting result marker mapping of the next scale by adopting the multiple dimensional segmenting method determined by an adaptive scale until the obtained segmenting result marker mapping is at the finest scale; and outputting the segmenting result of the finest scale as the final segmenting result. The method has the advantages of accurate segmenting edge and good consistency of segmenting regions and can be used for segmenting texture images, SAR images including texture information, remote sensing images and medical images.

The invention discloses an improved target tracking method, and solves the technical problems in the prior art that a Mean-shift algorithm tracking window is fixed and Kalman prediction is sensitive in target adhesion. The specific method includes: using Kalman filtering to predict a target position, reducing a research range, then matching a target through binary image features, correcting kernel function bandwidth of a Mean-shift algorithm, updating the Kalman model, searching a matched target in the vicinity of the predicted position, and completing target tracking by Mean-shift vector iteration. The improved target tracking method provided by the invention combines the advantages of Kalman prediction and the Mean-shift algorithm, is small in calculated amount and has good real-time performance, and effectively guarantees tracking accuracy under a circumstance of target adhesion.

The invention provides a static voltage stability margin analyzing and system fault ordering method of a power system. The static voltage stability margin analyzing and system fault ordering method includes the following steps that the Newton iteration method based on the optimal multiplier is used for determining a static voltage collapse point; according to the characteristic of iteration convergence, the type of the voltage collapse point is judged; according to the requirement for stability margin, system fault danger conditions are checked and ordering of stability faults is performed; the faults are parameterized and the iteration method is used for giving out the order of seriousness degrees of instability faults. According to the static voltage stability margin analyzing and system fault ordering method of the power system, voltage stability margins of the power system can be rapidly given online, real-time effective monitoring is carried out on the voltage stability and the comprehensive order of the stability faults and the instability faults can be used for guiding a power generator to adjust online and switching reactive power compensation devices when the system encounters faults, can also guide sub-circuit parameter adjusting, line increasing and decreasing, configuration of an FACTS device and the like off line and have great significance in operation and planning of the power system.

The invention discloses a green building intelligent energy-saving assessment management system based on a Web geographic information system (GIS) and belongs to the technical field of assessment of green buildings. The green building intelligent energy-saving assessment management system based on the Web GIS is characterized in that: buildings with different characteristics are classified by using a clustering method; primary indexes of all classes of items are determined by using a principal component analysis method; corresponding secondary indexes and tertiary indexes are established through layered breakdown by using a work breakdown structure (WBS) method; the primary index which corresponds to each class is stored, and an index database is established; credibility and compatibility are improved on the basis of the conventional analytic hierarchy process, and a weight optimization model is established; a calculation model of an energy-saving performance comprehensive index is established by using a variable fuzzy evaluation method; the weight optimization model is introduced for determination of building index systems and weights under different levels; and a set of internet-based green building assessment system is developed on a Web GIS platform. The invention has the advantages that: the original information of each expert is reserved to the largest extent; the green building intelligent energy-saving assessment management system based on the Web GIS is convenient for operation and better in universality and practicability; information is shared; and the importance of the past experience on project management is emphasized.

An apparatus and method for automatically focusing a lens of a digital imaging device, such as a digital still or video camera or camera phone, that reduces the auto focus time while not compromising image sharpness quality and simultaneously reducing device power consumption due to focus actuator movement, all without tuning or adjustment of thresholds or parameters is disclosed. The present invention automatically computes a set of digital band-pass filters matched to the imaging device specifications along with corresponding step-size magnitudes. A filter-switching search for the in-focus focus actuator position is formulated such that filters are switched and step-sizes are reduced as the search gets closer to the in-focus position by utilizing local estimates of the first and second-order differential information of the focus value surface.

The invention provides an allocation algorithm of joint beam and power for 5G unmanned aerial vehicle communication, and belongs to the field of communication. The method comprises the following steps: firstly, constructing unmanned aerial vehicle communication architecture, sending, by a millimeter wave base station, a communication signal, calculating an SINR of each miniature unmanned aerial vehicle in an unmanned aerial vehicle group based on adaptive beam forming, and separately calculating the respective allocated link capacity; then, in combination with the link capacity of each miniature unmanned aerial vehicle, constructing constraint conditions and an objective function to maximize the system capacity of the communication architecture; and finally solving the objective function,and performing beam and beam power resource allocation on the miniature unmanned aerial vehicle group within a millimeter wave band. By adoption of the allocation algorithm provided by the invention,the number of iterations is reduced, the fast beam and power joint allocation is achieved, the fairness of the unmanned aerial vehicles is ensured, and the system capacity is also improved.

The invention brings forward a frequency domain three-dimensional irregular earthquake data reconstruction method. The method is characterized in that first of all, three-dimensional earthquake data in a time domain is converted to a frequency domain by use of Fourier transform, and then, a projection onto convex set (POCS) algorithm is employed and curvelet transform capable of describing localized features of the earthquake data is introduced; and in an iteration process, a new threshold parameter attenuating according to an index rule is brought forward, and each frequency slice is individually reconstructed by use of a soft threshold operator, such that the iteration frequency is reduced, the reconstruction precision is improved, and the purpose of reconstructing the three-dimensional earthquake data is realized. According to the invention, the new threshold parameter attenuating according to the index rule is brought forward and each frequency slice is reconstructed in individually by use of the soft threshold operator, such that the disadvantage of quite slow convergence speed of a conventional threshold parameter is overcome, the calculation complexity of an algorithm is reduced, the calculation efficiency is substantially improved, and the operation time is reduced.