35results about How to "Reduce data dependence" patented technology

The invention provides a quality scalable method for solving the problems of network isomerism and the unreliable network encountered in 3D video coding, and discloses a 3D quality scalable video coding method based on HEVC. According to the scheme, the following two situations are considered; firstly, in order to obtain a higher compression ratio, it is kept that 3D quality scalable video coding is compatible with HEVC, meanwhile, interlayer structure prediction (also known as interlayer reconstruction prediction) is introduced to remove interlayer redundancy, and the interlayer structure prediction processes a video image and a depth image and predicts an enhancement layer by carrying out up-sampling on a reconstruction block of a base layer; secondly, as the depth image has the characteristic of smooth blocks and sharp edges, a special interlayer undistorted prediction method is provided so as to further eliminate interlayer redundancy. The data dependence on the enhancement layer by the interlayer undistorted prediction is reduced through data of an undistorted block of the base layer so that the code rate can be decreased. The interlayer undistorted prediction comprises the two situations including interlayer undistorted intra-frame prediction and interlayer undistorted simple depth coding prediction (namely the interlayer undistorted SDC prediction).

The invention relates to a method for rapidly visualizing mass polygons of any shapes. The method comprises the following steps: locally laminating a polygon input sequence according to the visualizing sequence and shielding relation of the polygons in a way of taking each layer as one group, and arranging the drawing sequence of each group from a bottom layer to a top layer under the condition of avoiding conflict among the grouped drawing sequences to obtain a non-conflict grouping groove; taking one group of non-conflict polygons of any shapes out of the non-conflict grouping groove, performing twice drawing with counting and filling meanings after triangular sectioning, and repeating the abovementioned processes for certain times to obtain a finial visualization result. By adopting the method, the visualizing parallelism degree of the mass polygons of any shapes can be increased, and the speed can be increased by over two times compared with the conventional ArcGIS and Mapnik geographic information visualizing engine.

The application relates to the technical field of computers and provides a game control method and device and a storage medium, thereby improving game control efficiency. The method comprises the steps: displaying game invitation state information in a chat window based on game invitation operation performed for a game application in a chat interface; and for a responding operation carried out forthe game invitation operation, updating the game invitation state information in the chat window. According to the method, a game invitation can be initiated through a chat window in aninstant messaging client; the game invitation state information is displayed in the chat window, the invitee associated with the chat window can check the game invitation; in addition, the game invitation state information can be updated in time according to the response operations for the game invitation operations, so that the inviter can initiate the game invitation in the chat window of the instant messaging client, the users do not need to add friends to each other in the game application, and thus the game invitation efficiency is improved.

The invention belongs to the technical field of visible light communication, and particularly relates to a machine learning multi-band carrier-free amplitude phase modulation system based on independent component analysis (ICA). The system mainly comprises a matched filtering & down-sampling module, a first-stage CAP forming and cross-matched filtering module, an ICA sub-band signal purification module, a phase offset recovery module of each sub-band signal, a second-stage CAP forming and cross-matched filtering module, a subtraction sub-band interference module, a minimum mean square filtering module and the like. According to the invention, sub-band interference inversion is carried out at a receiving end; the signals and original receiving sub-band signals are sent to ICA for preliminary purification of each path of sub-band signals; secondly, performing second-stage sub-band interference inversion, and subtracting interference between sub-bands; and the second-stage equalization isadopted, so that the guard interval between the sub-bands can be eliminated, the tolerance degree of the system to aliasing between the sub-bands can be improved, the same transmission rate can be realized by using less bandwidth, the signal bandwidth can be utilized more effectively, and the spectrum utilization rate of the visible light communication system can be improved.

The invention relates to the technical field of power distribution network automation, and discloses a distribution network fault studying and judging method and system based on the sudden reduction degree of feeder current and the probability density of the proportion of switch loads, so as to improve the real-time performance and reliability of fault positioning. The method comprises the following steps: monitoring the sudden reduction degree of current at the outlet of a feeder line in real time, determining that a fault occurs when the sudden reduction degree is greater than a certain threshold value, and recording the fault occurrence time and the sudden reduction degree of the current of the feeder line; then, mapping into a pair of binary coordinates, and searching a load proportion probability density table (curve) of each switch in the line according to the coordinates; one or more switches with the maximum probability density being judged as tripping switches.

The embodiment of the invention discloses a product pricing method and a product pricing device. The method can comprise the steps: obtaining M risk factors of a first user, the M risk factors being factors affecting the product cost corresponding to the first user, and M being an integer greater than 1; performing risk scoring on each risk factor in the M risk factors according to a rank net algorithm, wherein the risk score is used for evaluating a weight value of the corresponding risk factor when the product cost is calculated; and determining the product cost corresponding to the first user according to the risk score and the pricing strategy. By adopting the embodiment of the invention, the influence degree of the risk factor on the corresponding product price is reasonably evaluated, and the product price is scientifically determined.

The invention discloses a non-supervised change detection method based on two-stage high-resolution remote sensing images. The method comprises: step one, spatial position registration is carried out on two-stage remote sensing images in a to-be-detected region before an event and after an event to realize overlapping of geographic areas at a same place; step two, relative changing amplitude images between the two-stage remote sensing images before an event and after an event are calculated; step three, on the basis of the relative changing amplitude images, a multi-threshold zone between a minimum threshold and a maximum threshold is established; step four, with the multi-threshold zone, a plurality of binary changing area detection results are formed by setting an increasing step length S; and step five, fusion processing is carried out on the plurality of binary changing area detection results to obtain an optimized binary changing area detection result. With the non-supervised change detection method, threshold setting is avoided during the process; and the data dependency of the algorithm is reduced.

The invention provides a label identification method and device, and relates to the technical field of big data. The method comprises the following steps: extracting a multi-modal feature of a to-be-identified video, and determining a first label of the to-be-identified video by using the multi-modal feature; classifying and identifying the to-be-identified video to obtain a category of the to-be-identified video, and identifying a second label of the to-be-identified video based on the category of the to-be-identified video; and obtaining a third label of the to-be-identified video through a new hot label set updated in real time, and determining a video label of the to-be-identified video in combination with the first label, the second label and the third label. According to the technical scheme provided by the invention, the accuracy of label identification can be improved.

The invention discloses a method for identifying key factors of an overseas oil investment risk. The method comprises the steps of 1, acquiring historical data according to carded basic factors, and performing data basic processing; 2, constructing a measurement model for identifying the key factors of the overseas oil investment risk, and calculating associated analysis between the risk factors and an investment target; 3, performing comprehensive analysis on instantaneous and delayed fluctuation response; and 4, performing screening and sequencing on calculation results, and performing checking according to a key element identification rule. The method according to the invention can realize identification and analysis for the key factors of the overseas oil investment risk with relatively small data volume.

The invention discloses a MIMO system signal detection method and system. The invention relates to the field of communication. The method comprises the steps of: performing real number processing on areceived signal and a channel matrix, and inputting the real number processed received signal and channel matrix into a trained detection network which is an approximate message passing algorithm network containing the damping mechanism to obtain an estimated signal. The embodiment of the invention provides an approximate message passing algorithm detection network. Compared with a full-connection neural network, a convolutional neural network and a recurrent neural network, the MIMO system signal detection method and system have the advantages of being low in data dependence, interpretable in network structure, low in overfitting risk, high in accuracy, low in complexity and the like, the convergence speed of the detection algorithm is further increased by adding a damping mechanism intothe approximate message passing algorithm and setting learnable damping parameters, the detection network complexity is reduced, and meanwhile the detection performance is improved.

The invention provides a method for tracking and identifying bonding points on the surfaces of casting blanks. The method comprises the following steps of acquiring the temperatures of temperature measuring points arranged on a crystallizer; according to the temperatures of the temperature measuring points and the two-dimensional plane coordinates of the positions of the temperature measuring points, obtaining first three-dimensional space coordinates about the positions and the temperatures of the temperature measuring points; corresponding to the temperatures of the temperature measuring points, forming second three-dimensional space coordinates about the positions of the temperature measuring points and the temperature rise rate; obtaining a temperature tangent plane and a temperature rise rate tangent plane at a preset standard temperature and a preset standard temperature rise rate; judging the suspicious bonding points on the casting blanks in the crystallizer according to the temperature tangent plane and the temperature rise rate tangent plane; and tracking the temperature tangent plane corresponding to the suspicious bonding points, and identifying the bonding points of the casting blanks according to the parameter change of the temperature tangent plane. According to the method, the problem that the bonding points cannot be well identified through an existing breakoutforecasting method can be solved.

The invention discloses an electromagnetic equipment multi-parameter non-intrusive identification method, system and device based on an integrated algorithm and a storage medium, belongs to the field of parameter identification, and aims to solve the problem that technicians need to understand complex algorithm ideas and adjust parameters and cannot concentrate on multi-parameter non-intrusive identification. According to the method, preprocessing and data division are performed on the electric signal data of the electromagnetic equipment so as to acquire different data sets, then the data sets are selected as required to construct a dynamic adjustment strategy auxiliary function to train the base learner, the optimal base learner is selected, and model evaluation is performed after the dynamic adjustment weight of the optimal base learner is calculated. The auxiliary functions for constructing the dynamic adjustment strategy comprise the MAPE function and the PCC function, and the weighting factor dynamic adjustment strategy based on the two functions can effectively reduce the multi-parameter non-intrusive identification error of the electromagnetic equipment and improve the model prediction performance. The method has important application value and guiding significance in the aspect of multi-parameter non-intrusive identification of the electromagnetic equipment.

The invention provides a method for predicting mold breakout based on image processing, comprising: acquiring the temperature of a temperature measuring point arranged on a mold to be measured; , obtain the first three-dimensional space coordinates of the position and temperature of the temperature measurement point; corresponding to the temperature of the temperature measurement point, form the second three-dimensional space coordinates of the position and temperature rise rate of the temperature measurement point; Standard temperature rise rate, slice the temperature dimension and temperature rise rate dimension parallel to the two-dimensional plane coordinates, and obtain the temperature slice and temperature rise rate slice respectively; Preset warning rules for warning prompts. The invention can solve the problems such as the limitation of the current breakout algorithm due to the bottleneck in the leakage rate and false alarm rate.