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

3D quality scalable video coding method based on HEVC

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).
Owner:常州横塘科技产业有限公司

Method for rapidly visualizing mass polygons of any shapes

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.
Owner:北京微视威信息科技有限公司

Data dependency mitigation in decoder architecture for generalized product codes for flash storage

A memory device includes a memory array, a processor coupled to the memory array, and a decoding apparatus. The decoding apparatus is configured to perform coarse decoding and fine decoding. In coarse decoding, the decoder decodes in parallel two or more codewords, which share a common block of bits, to determine error information. Next, the decoder corrects errors in a first codeword based on the error information. Then, it is determined if the shared common block of data bits is corrected. If the shared common data block is updated, then error correction based on the error information is prohibited in codewords sharing the common block of data bits with the first codeword. In fine decoding, a single codeword is decoded at a time for error correction.
Owner:SK HYNIX INC

Game control method and device and storage medium

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.
Owner:TENCENT TECH (SHENZHEN) CO LTD

Traditional Chinese medicine tongue color and fur color quantitative analysis method based on machine learning

The invention relates to tongue color and fur color identification. The invention, and particularly relates to a traditional Chinese medicine tongue color and fur color quantitative analysis method based on machine learning. The method includes carrying out tTongue image investigation and image acquisition are carried out on crowds of different regions and ages; tongue color and moss color judgment is carried out on the collected tongue image through a consistent review method; constructing traditional Chinese medicine tongue image big data; extracting a tongue body area from the tongue imageimage in the traditional Chinese medicine tongue image big data; carrying out HSV space clustering; the method comprises the following steps: firstly, dividing a tongue color image into sub-images, automatically generating a tongue color color card and a fur color card according to a clustering result by tone, constructing a pixel color attribute classifier X based on an xgboost machine learning algorithm, and respectively constructing a whole tongue color classification model s and a whole tongue fur color classification model t based on the xgboost machine learning algorithm; the technical scheme provided by the invention can effectively overcome the defects that the recognition result is low in accuracy and depends on sample data in the prior art.
Owner:合肥云诊信息科技有限公司

Machine learning multi-band carrier-free amplitude and phase modulation system based on independent element analysis

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.
Owner:ZHUHAI FUDAN INNOVATION INST

Distribution network fault studying and judging method and system based on sudden reduction degree of feeder current and probability density of the proportion of switch loads

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.
Owner:YUNNAN POWER GRID CO LTD KUNMING POWER SUPPLY BUREAU

Product pricing method and device

PendingCN110490749AEasy to replace dynamicallyGood application effectFinanceResourcesComputer scienceProduct price
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.
Owner:PING AN TECH (SHENZHEN) CO LTD

Non-supervised change detection method based on two-stage high-resolution remote sensing images

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.
Owner:XIAN UNIV OF TECH

Label identification method and device

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.
Owner:TENCENT TECH (SHENZHEN) CO LTD

Small sample learning and LSTM (Long Short Term Memory)-based runoff prediction method for areas lacking data

The invention discloses a runoff prediction method for a region lacking data based on small sample learning and LSTM. The method comprises the steps of firstly obtaining time series data of influence factors related to runoff intensity in a drainage basin, then performing feature extraction, and constructing a time series data set corresponding to features and predicted runoff; establishing a runoff prediction model based on small sample learning prototype network and LSTM fusion, and carrying out model training and verification; and then, inputting the influence factors to predict the runoff. In consideration of the current situation of data shortage of an area lacking data and the dependence of traditional machine learning on a large amount of label data, a data-driven deep learning strategy is used, a small sample learning algorithm is combined, a prototype network and LSTM are fused to reduce the dependence of the model on the data, and it is ensured that the model is more accurate under the condition that few training samples are input. The model can also obtain high prediction precision, and a new method is provided for runoff prediction in areas lacking data.
Owner:UNIV OF ELECTRONICS SCI & TECH OF CHINA

Median filtering method and device adapting to pipeline architecture and filter

The invention discloses a median filtering method and device adapting to a pipeline architecture and a filter. The median filtering method comprises the following steps: S101, receiving a numerical sequence; S102, forming a first numerical value subsequence according to the filtering window, and finding out a numerical value median in the first numerical value subsequence; S103, arranging according to the numerical value sequence, sliding the filtering window, and changing the first numerical value sub-sequence in the first sequence window into a second numerical value sub-sequence after the filtering window is moved into a numerical value and moved out of the numerical value; S104, comparing the shift-in numerical value and the shift-out numerical value with a numerical value median in the first numerical value sub-sequence, and performing logical operation according to a comparison result to obtain a numerical value median in the second numerical value sub-sequence; S105, sliding thefiltering window, and circulating the steps S103 to S104 until the filtering of the numerical sequence is finished; and S106, sequentially storing the numerical value medians, and outputting a numerical value median sequence. According to the filtering algorithm, the logic structure is simple, maintenance of a complex data structure is avoided, the dependence on data in a cycle body is low, pipelining and parallelization are facilitated, and the effect of improving rapid calculation is achieved.
Owner:上海定九康科技股份有限公司

Method for identifying key factors of overseas oil investment risk

InactiveCN106845862ALow historical data requirementsReduce data dependenceFinanceResourcesRisk factorPetroleum
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.
Owner:BEIJING UNIV OF TECH

MIMO system signal detection method and system

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.
Owner:SOUTH UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA +1

High performance mixed signal circuit

The present invention is related to a digital circuit for use in a mixed-signal circuit. The digital circuit comprises:a first circuit for direct digital synthesis comprising a first phase generator (PG1) arranged for being fed with a phase generator input signal, a first phase-to-amplitude converter (PAC1) arranged for being fed with a phase from the first phase generator and for generating a first carrier wave output, and first signal combining means (R1) for combining the first carrier wave output with a first input signal,a noise generator (NG) arranged for generating a pseudo-random noise signal,combining means (S) for combining the pseudo-random noise signal and the phase generator input signal such that the phase generator input signal to the first phase generator (PG1) is randomised,a second circuit for direct digital synthesis comprising a second phase generator (PG2) arranged for being fed with the pseudo-random noise signal, a second phase-to-amplitude converter (PAC2) arranged for being fed with a phase from the second phase generator and for generating a second carrier wave output, and second signal combining means (R2) for combining the second carrier wave output with a second input signal, whereby the second carrier wave output combined with the second input signal is comprised in the first input signal.
Owner:KEYSIGHT TECH

Data dependency mitigation in parallel decoders for flash storage

A memory device can include a memory array, a processor coupled to the memory array, and a decoding apparatus. The decoding apparatus is configured to perform parallel decoding of codewords. Each of the codewords has a plurality of data blocks, each data block having a number of data bits. The decoding apparatus is configured to decode in parallel two or more codewords, which share a common data block, to determine error information associated with each codeword. For each error, the error information identifies a data block having the and associated error bit patterns. The decoding apparatus is configured to update the two or more codewords based on the identified data blocks having errors and the associated error bit patterns.
Owner:SK HYNIX INC

Method for tracking and identifying bonding points on surfaces of casting blanks

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.
Owner:CONTINUOUS CASTING TECH ENG OF CHINA

Quantitative analysis method of tongue color and fur color in traditional Chinese medicine based on machine learning

The present invention relates to the identification of tongue color and fur color, in particular to a machine learning-based quantitative analysis method for tongue color and fur color in traditional Chinese medicine. The tongue image survey and image collection are carried out on people in different regions and ages, and the collected tongue images are analyzed by a consistent review method. Tongue color and fur color are judged on the image, and TCM tongue image big data is constructed. The tongue body area is extracted from the tongue image image in the TCM tongue image big data. Through HSV space clustering, it is divided into sub-graphs, and the clustering results are automatically generated according to the hue. Tongue color color card, moss color color card, construct pixel color attribute classifier X based on xgboost machine learning algorithm, respectively build whole tongue tongue color classification model s and whole tongue fur color classification model t based on xgboost machine learning algorithm, the present invention provides The technical solution can effectively overcome the defects of the existing technology that the accuracy of the recognition result is low and the recognition results are relatively dependent on sample data.
Owner:合肥云诊信息科技有限公司

Computer architecture for speculative parallel execution

A system for parallel execution of program portions on different processors permits speculative execution of the program portions before a determination is made as to whether there is a data dependency between the portion and older but unexecuted portions. Before commitment of the program portions in a sequential execution order, data dependencies are resolved through a token system that tracks read access and write access to data elements accessed by the program portions.
Owner:WISCONSIN ALUMNI RES FOUND

A median filtering method, device and filter adapted to pipeline architecture

The invention discloses a median filtering method, device and filter adapted to pipeline architecture, including S101: receiving a numerical sequence; S102: forming a first numerical subsequence according to a filtering window, and finding the numerical median therein; S103: according to Arranging the numerical sequence, sliding the filter window so that after a numerical value is moved in and a numerical value is removed, the first numerical subsequence in the first sequence window becomes the second numerical subsequence; S104: shift the entered numerical value 、 The removed value is compared with the median value in the first numerical subsequence, and a logical operation is performed according to the comparison result to obtain the numerical median value in the second numerical subsequence; S105: sliding filter window, loop through steps S103 to S104 until the numerical sequence The filtering is finished; S106: Save the median value sequentially, and output a sequence of median values. The filtering algorithm in this application has a simple logical structure, avoids maintaining complex data structures, and has low data dependence in the loop body, which is convenient for pipeline and parallelization, so as to achieve the effect of improving fast calculation.
Owner:上海定九康科技股份有限公司

Machine Learning Multiband Carrier-Free Amplitude-Phase Modulation System Based on Independent Element Analysis

ActiveCN111371493BImprove spectrum utilizationIncrease enduranceClose-range type systemsLeast mean squares filterInterference (communication)
The invention belongs to the technical field of visible light communication, and specifically relates to a machine learning multi-band carrier-free amplitude-phase (multi-band CAP) modulation system based on independent element analysis (ICA). The system of the present invention mainly includes matched filtering & down-sampling, first-level CAP forming and cross-matching filtering, ICA sub-band signal purification, each sub-band signal recovery phase offset, second-level CAP forming and cross-matching filtering, and subtracting sub-band interference , least mean square filter and other modules. In the present invention, after inversion of sub-band interference at the receiving end, it is sent to ICA together with the original received sub-band signal to initially purify each sub-band signal, and then through the second-stage sub-band interference inversion and subtracting the inter-sub-band interference, and then use the second level of equalization to eliminate the guard interval between sub-bands, improve the tolerance of the system to aliasing between sub-bands, achieve the same transmission rate with less bandwidth, and use the signal bandwidth more effectively , to improve the spectrum utilization of the visible light communication system.
Owner:ZHUHAI FUDAN INNOVATION INST

Road surface crack detection method based on vehicle-mounted laser point cloud

ActiveCN112785548ARapid pavement crack detectionEfficient pavement crack detectionImage enhancementImage analysisPoint cloudIn vehicle
The invention belongs to the technical field of data analysis, and particularly relates to a pavement crack detection method based on vehicle-mounted laser point cloud. According to the existing method, input point cloud is projected into an image for processing, results generated by the method have deviation, and accurate road assessment and perfect management are not facilitated. The invention provides the pavement crack detection method based on the vehicle-mounted laser point cloud, and the method comprises the following steps: 1) obtaining original pavement point cloud data, and extracting the original pavement point cloud data to obtain second point cloud data; 2) performing structure enhancement on the second point cloud data, and amplifying the difference between a crack point and a non-crack point in the second point cloud data; 3) selecting training data to train the graph convolutional neural network to obtain a model; and 4) obtaining the pavement crack in the second point cloud data through the model. Rapid and efficient pavement crack detection can be provided.
Owner:CENTRAL UNIVERSITY OF FINANCE AND ECONOMICS

An unsupervised change detection method based on two-phase high-resolution remote sensing images

The invention discloses a non-supervised change detection method based on two phases of high-resolution remote sensing images. The method includes the following steps: Step 1. The two phases of remote sensing images before the event and after the event in the area to be detected are respectively registered in space, so that Geographic areas at the same location overlap; Step 2: Solve the relative change range image between the two phases of remote sensing images before and after the event; Step 3: Based on the relative change range image, establish the relationship between the minimum value threshold and the maximum value threshold Multi-threshold intervals; step 4, use multi-threshold intervals, and set an increase step S to form multiple binarized change area detection results; step 5, perform fusion processing on multiple binarized change area detection results to obtain optimization Binarized change region detection results of . Using the unsupervised change detection method based on two-stage high-resolution remote sensing images, the threshold setting can be effectively avoided in the process, and the data dependence of the algorithm can be effectively reduced.
Owner:XIAN UNIV OF TECH

Electromagnetic equipment multi-parameter non-intrusive identification method, system and equipment based on integration algorithm and storage medium

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.
Owner:GUANGXI UNIV

HEVC-based 3D-quality scalable video coding

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).
Owner:常州横塘科技产业有限公司

A Fast Visualization Method for Massive Arbitrarily Shaped Polygons

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.
Owner:北京微视威信息科技有限公司

High performance mixed signal circuit

The present invention is related to a digital circuit for use in a mixed-signal circuit. The digital circuit comprises:a first circuit for direct digital synthesis comprising a first phase generator (PG1) arranged for being fed with a phase generator input signal, a first phase-to-amplitude converter (PAC1) arranged for being fed with a phase from the first phase generator and for generating a first carrier wave output, and first signal combining means (R1) for combining the first carrier wave output with a first input signal,a noise generator (NG) arranged for generating a pseudo-random noise signal,combining means (S) for combining the pseudo-random noise signal and the phase generator input signal such that the phase generator input signal to the first phase generator (PG1) is randomised,a second circuit for direct digital synthesis comprising a second phase generator (PG2) arranged for being fed with the pseudo-random noise signal, a second phase-to-amplitude converter (PAC2) arranged for being fed with a phase from the second phase generator and for generating a second carrier wave output, and second signal combining means (R2) for combining the second carrier wave output with a second input signal, whereby the second carrier wave output combined with the second input signal is comprised in the first input signal.
Owner:KEYSIGHT TECH

Prediction method of mold breakout based on image processing

ActiveCN111570748BOvercome the false negative rateOvercoming the Paradox of False Positive RatesImaging processingThree-dimensional space
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.
Owner:CONTINUOUS CASTING TECH ENG OF CHINA
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