Patents
Literature
Hiro is an intelligent assistant for R&D personnel, combined with Patent DNA, to facilitate innovative research.
Hiro

35results about How to "Localized" patented technology

Face recognition method based on weighted diagnostic sparseness constraint nonnegative matrix decomposition

ActiveCN105469034AOvercome the problem of weak expression ability of facial featuresOvercoming the problem of poor occlusion robustnessCharacter and pattern recognitionMatrix decompositionIdentity recognition
The invention discloses a face recognition method based on weighted diagnostic sparseness constraint nonnegative matrix decomposition, and mainly aims to solve the problem that the method in the prior art is not robust to an obscured face and is of low recognition rate. According to the technical scheme, the method comprises the following steps: (1) constructing a nonnegative weight matrix according to the obscured area of a test image; (2) introducing the weight matrix into a general KL divergence objective function, applying a sparseness constraint to a basis matrix, and applying intra-class and inter-class divergence constraints to a coefficient matrix to get a weighted diagnostic sparseness constraint nonnegative matrix decomposition objective function; (3) solving the objective function, and decomposition-training a data matrix to get a basis matrix and a coefficient matrix; (4) projecting a test data matrix on the basis matrix to get a corresponding low-dimensional representation set, and taking the low-dimensional representation set as final test data; and (5) using a nearest neighbor classifier to classify the test data by taking the coefficient matrix as training data, and outputting the result. By using the method, the effect of obscured face recognition is improved. The method can be used in identity recognition and information security.
Owner:XIDIAN UNIV

Mesh network route method and device

This invention provides a network routing method used in providing optimum route for transmitting service flows between a source node and a destination note including: a, responding to a global routing request sent by the source note to find out at least one route meeting the request of bandwidth for transmitting service flows with the destination node, b, selecting a route with the optimum delay and stability in at least one route as the optimum route and c, preserving resources for the optimum route for transmitting service flows. This invention also provides a network routing device.
Owner:HUAWEI TECH CO LTD

Digital watermark method against geometrical attack based on image characteristic region

InactiveCN101030293ALocalizedDoes not affect feature pointsImage data processing detailsWatermark methodDigital image
A digital watermark method resisting against geometric attack includes relating watermark information to image character region, generating local character region with invariance on geometric attack by utilizing most stable Harris character point in image, making said region to be round character region by image normalization, carrying out two-stages of wavelet transforms on these round character regions, selecting revision coefficient regions to embed watermark at the second stage wavelet transform and realizing watermark-embedding. The method for picking up watermark is also disclosed.
Owner:XIDIAN UNIV

Multi-level cache method based on historical upgrading and downgrading frequency

The invention provides a multi-lever cache method based on historical upgrading and downgrading frequency. The multi-lever cache method based on the historical upgrading and downgrading frequency is based on historical hinting information of a data block, and the historical hinting information is one of the key points of a multi-lever cache system. Through the hinting frequency, a hot data block can be identified effectively, the hot data block can be stored in the cache at a higher lever for a longer time, the data block hit rate in the system is increased, and the average response time is reduced; according to the multi-lever cache method based on the historical upgrading and downgrading frequency, a traditional LRU stack is divided into two special queues, so that the hinting information has locality, mixing of the hot data block and a cool data block is avoided, and the use of band width between the caches in all levers; the hot data block is identified effectively, the hot data block can be stored in the cache at the higher lever for a long time through an algorithm, the downgrading and upgrading operation of the caches in all levers is reduced, and the band width consumption between the caches is reduced further; the space consumption is small, and basis is provided for a better read-write property of the system under different loads.
Owner:SHANGHAI JIAO TONG UNIV

Wireless service flow prediction method based on weighted federated learning

The invention relates to a wireless service flow prediction method based on weighted federated learning. The method comprises the following steps: a control center pushes a plurality of pre-training models to a base station side; the base station side performs model training according to the local data and transmits the trained model to a control center; the control center fuses the models according to a weighting rule and feeds back the fused models to the base station, and more weights are given to the local model in the weighting rule; and the base station predicts the wireless service flowat the future moment according to the obtained final model. According to the wireless service flow prediction method provided by the invention, on the basis of a control center model aggregation strategy, the weighted aggregation rule is used for replacing an average strategy, so that the phenomenon of inaccurate prediction caused by data isomerism can be avoided, and the overall prediction precision of distributed wireless service flow prediction is improved.
Owner:SHANDONG UNIV

Incidence relation excavation method for text-oriented knowledge unit

InactiveCN102436480ADiscover localityDiscovered the locality of knowledge units to association relationsSpecial data processing applicationsTime complexityKnowledge unit
The invention discloses an incidence relation excavation method for a text-oriented knowledge unit. The method comprises the following steps of: (1) carrying out aggregation for a text set, finding a text subset with a similar theme, on the base, utilizing nonsymmetry of term distribution in the text and excavating a linear incidence relation between texts; (2) utilizing locality of the incidence relation of a knowledge unit pair, and generating a candidate knowledge unit pair; (3) based on characteristics of term word frequency, distance and semantic types of the knowledge unit pair, carrying out a bi-level classification for the candidate knowledge unit pair, and distinguishing the incidence relation of the knowledge unit pair. In the incidence relation excavation method, numbers of candidate knowledge units can be greatly reduced, and time complexity of relation excavation can be effectively reduced on the premise that accuracy is ensured.
Owner:XI AN JIAOTONG UNIV

Sparse local decomposition and restructuring algorithm of joint motion sensing

The invention discloses a sparse local decomposition and restructuring algorithm of joint motion sensing; the method includes steps of 1), calculating length of sides in a triangular mesh and size of dihedral angles corresponding to sides (the two values are recorded as LA); 2), calculating residual difference of LA vector in every triangular mesh; 3), performing sparse local decomposition on the residual difference of the LA vector and acquiring an LA base; 4), linearly mixing the LA base and acquiring a new LA vector; 5), recovering a connection mapping; 6), estimating the bid price of local orthogonality; 7), restructuring the triangular mesh. The algorithm mainly solves the problem how to perform the sparse local decomposition on a given movement mesh sequence, thereby capturing deformation of a local zone of a movement sequence; moreover, by taking it as the basis, an integrated treatment framework capable of capturing the movement zone and performing gesture edition of the triangular mesh model is structured. The sparse local decomposition and restructuring algorithm is better in locality, applicable to large-scale rotating movement and deformation, overall rotation, and good in robustness.
Owner:SOUTH CHINA UNIV OF TECH

Circular node organizing method in reciprocal network request broadcast system

This invention discloses a method for organizing ring nodes in the broadcast-selection system of peer-to-peer network flow media including: 1, a newly added node P gets an initial member node list from an index server, 2, P utilizes the initial member node to set up its adjacent nodes and distributes them to the corresponding [l d l / alpha] layer of ring based on the distance from the adjacent node to itself so as to constitute an initial logic ring and form far and near hop neighbor nodes, 3, node P transmits position information to a neighbor node on the ring to inform its existence and receives the forward information from the neighbor node to discover new member nodes to ensure there are k nerghbors in the inner ring and 1 neighbor in the outer ring to maintain a stable ring structure and users can quickly find out the neighbor nodes near the target position when dragging, 4, node P stops the current channel and informs all neighbor nodes on the ring about its leaving.
Owner:HUAZHONG UNIV OF SCI & TECH

Depth image tumbling recognition algorithm based on wavelet moment

The invention provides a depth image tumbling recognition algorithm based on a wavelet moment. The algorithm comprises the steps of firstly normalizing the distances between all pixel points in an image and the centroid, then conducting coordinate and FFT transformation on the normalized image, finally conducting wavelet transformation on the image to obtain a characteristic vector and recognizinghuman body behaviors in combination with a minimum distance classification method. By testing a large quantity of human body behavior samples, the recognition rate of the algorithm reaches 90%. Through a depth image and translation, scaling and rotation invariance of the wavelet moment characteristics, the privacy problem which exists in traditional video image processing is solved, and the recognition performance is improved. The recognition capability of the human body tumbling behaviors is improved, and the algorithm has better robustness and a very good application prospect.
Owner:NANTONG UNIVERSITY

Nicotinic acid skin reaction image analysis method and equipment

The invention relates to a nicotinic acid skin reaction image analysis method and equipment. The method comprises the following steps: pasting a nicotinic acid methyl ester patch on the skin of the forearm of a subject; acquiring a nicotinic acid reaction area image of the forearm skin of the subject and analyzing the nicotinic acid reaction area image to generate an identification mark graph of nicotinic acid skin reaction of the subject; obtaining an identification mark graph in the existing diagnosis data as an input to train a prediction model of nicotinic acid skin reaction; inputting anidentification mark graph of the nicotinic acid skin reaction of the subject into the prediction model, and obtaining the prediction result of the nicotinic acid skin reaction of the subject. According to the method, the problem that at present, a rapid and objective quantification tool is lacked for the nicotinic acid skin reaction degree is solved, an image processing and analysis method is introduced, schizophrenia and other severe psychosis serve as research and development service and application objects, and quantitative detection of the nicotinic acid skin reaction degree is achieved.
Owner:SHANGHAI MENTAL HEALTH CENT (SHANGHAI PSYCHOLOGICAL COUNSELLING TRAINING CENT)

Lake water volume space-time change analysis method and device based on multi-source satellite data

The invention relates to a lake water volume space-time change analysis method and device based on multi-source satellite data, and the method specifically comprises the steps: S1, obtaining a research region image of a lake through a satellite, preprocessing the research region image, obtaining an image classification map, and obtaining the lake water level through the satellite; and S2, obtaining time series data of the lake water quantity according to the image classification map of the lake and the lake water level, inputting the research area image of the small lake into a KELM model to obtain an image classification map, and inputting the research area image of the large lake into a trained SVM model to obtain an image classification map; the training process comprises the followingsteps: collecting an experimental area image, dividing pixel points on the experimental area image into a water body and a non-water body to form a training sample, training a KELM model and an SVM model by using the training sample, and performing parameter optimization on the KELM model by using a PSO algorithm. Compared with the prior art, the method has the advantages of good stability, good robustness, high efficiency and the like.
Owner:TONGJI UNIV

Drop height fitting method

The invention discloses a drop height fitting method which comprises the following steps: maintaining an effective test point list; determining whether cubic B-spline fitting is available or not; then performing cubic B-spline fitting or drop test guide; solving the critical drop height; determining whether an effective critical drop height is obtained or not, and then outputting the results or performing drop test guide. According to the invention, conflict points are deleted according to conflict decision rules to obtain effective test points, so that the cubic B-spline fitting can be carried out quickly, and the test efficiency can be improved; meanwhile, a cubic B-spline curve is used for curve fitting for the effective test points, so that fast solution to the critical drop height is realized, and the test efficiency is further improved; the drop test guide is carried out by adopting a successive approximation method, and probable proper test points are prompted for testing, so that the test efficiency is improved.
Owner:中华人民共和国昆山出入境检验检疫局 +1

Vehicle loss detection method and device, electronic equipment and storage medium

PendingCN113657409AEffectively localize and identify damage sitesFeature extraction and use wellCharacter and pattern recognitionNeural architecturesTranslation invarianceNetwork model
The invention discloses a vehicle loss detection method and device, electronic equipment and a storage medium. The method comprises the steps of obtaining a target image; inputting the target image into a network model, a backbone network of the network model including a Swin Transformer network, the backbone network being used for predicting a damage position coordinate and a damage category of the target image based on the Swin Transformer network; and determining a damage detection result according to the damage position coordinate and the damage category. According to the embodiment of the invention, the Swin Transformer network is used as the backbone network, so that compared with a CNN detection mode, the method is more accurate, and can more effectively positions and identifies a damaged part. The Swin Transformer is used as the backbone network to extract features, so that spatial information relation among pixels of the image and weighted selection of the features can be explored, and better feature extraction and utilization are realized. In addition, the Swin Transformer has the characteristics of locality, translation invariance, residual learning and the like of the CNN, so that the problems of complicated calculation amount and large memory consumption in other visual Transformer schemes can be solved while the performance of the Swin Transformer method exceeds that of the CNN method.
Owner:PING AN TECH (SHENZHEN) CO LTD

Brightness adjusting method and system, storage medium, lamp and lighting system

The invention relates to the field of lighting dimming, in particular to a brightness adjusting method and system, a storage medium, a lamp and a lighting system. The method comprises the following steps: correcting an original Gamma curve based on m correction factors to obtain a corrected Gamma curve; and performing Gamma correction on a light source based on the corrected Gamma curve. According to the invention, the original Gamma curve is corrected based on the correction factor with the smooth curve, so that accurate correction and smooth compensation are achieved, and light sensed by human eyes during dimming of the light source subjected to Gamma correction can be linearly changed.
Owner:GUANGZHOU HAOYANG ELECTRONICS CO LTD

Precise air floating platform

InactiveCN113291825AHigh precision supportHigh-precision transportationNon-mechanical conveyorsConveyor partsAmbient pressureEngineering
The invention relates to a precise air floating platform, and belongs to the technical field of transportation devices. The air floating platform comprises one or more parallel supporting surfaces, and each supporting surface comprises a positive pressure unit and a negative pressure unit; the positive pressure units comprise pressure outlets, and the pressure outlets provide pressurized gas and are used for generating supporting gas films for supporting a borne object; the negative pressure units comprise pressure inlets, and the pressure inlets provide a pressure value smaller than the environment pressure value and generate adsorption pressure opposite to the supporting gas films; and an atmosphere communicating groove surrounds the periphery of each positive pressure unit and the periphery of each negative pressure unit, and the atmosphere communicating grooves locally discharge the mass flow of the pressure outlets or locally provide the mass flow of the pressure inlets, so that the pressure at the atmosphere communicating grooves is kept as the environment pressure. By adopting the technical scheme, a thin flexible object can be stably, reliably and contactlessly suspended on the air floating platform, and low-friction, high-precision, lossless and efficient supporting, transportation, detection and processing treatment are realized.
Owner:HARBIN INST OF TECH

Computer CPU-GPU shared cache control method and system

The invention provides a computer CPU-GPU shared cache control method and system, and the method comprises the steps of firstly obtaining the utilization rate of each core of a CPU and a GPU and a first-level cache missing rate; calculating the product of the utilization rate of each core of the CPU and the GPU and the first-level cache missing rate; obtaining a CPU and GPU memory allocation proportion set by a user; and adjusting the last level of cache shared by the CPU and the GPU according to the sorting result. According to the method provided by the invention, dynamic adjustment of the LLC is realized through the utilization rate of each core and the first-level cache missing rate in combination with setting of a user, the problems that the LLC adjustment is too complicated and system resources are wasted in the prior art are solved, the LLC in a computer is optimized and adjusted in a targeted manner, and the overall performance of a CPU chip integrated with a GPU is improved.
Owner:湖南中科长星科技有限公司

Circular node organizing method in reciprocal network request broadcast system

This invention discloses a method for organizing ring nodes in the broadcast-selection system of peer-to-peer network flow media including: 1, a newly added node P gets an initial member node list from an index server, 2, P utilizes the initial member node to set up its adjacent nodes and distributes them to the corresponding [l d l / alpha] layer of ring based on the distance from the adjacent node to itself so as to constitute an initial logic ring and form far and near hop neighbor nodes, 3, node P transmits position information to a neighbor node on the ring to inform its existence and receives the forward information from the neighbor node to discover new member nodes to ensure there are k nerghbors in the inner ring and 1 neighbor in the outer ring to maintain a stable ring structure and users can quickly find out the neighbor nodes near the target position when dragging, 4, node P stops the current channel and informs all neighbor nodes on the ring about its leaving.
Owner:HUAZHONG UNIV OF SCI & TECH

A kind of anti-electromagnetic domestic reinforced computer based on Godson 3a

The invention relates to an anti-electromagnetic homemade reinforced computer based on Loongson 3A, which belongs to the field of self-controllable vehicle control equipment for military localization. The reinforced computer of the present invention includes a Loongson 3A main control module, a power supply module, an SOC auxiliary module, a functional module, a filter interface module and a chassis; the Loongson 3A main control module can run a domestic operating system and provide various interfaces; the power supply module realizes power supply conversion, Supply power to Loongson 3A main control module, SOC auxiliary module, function module, and filter interface module; the function module realizes the interface expansion of Loongson 3A main control module; the SOC auxiliary module assists Loongson 3A main control module to realize high-speed digital signal and video signal processing; The filter interface module includes a signal filter module composed of a filter circuit and an external interface module composed of an electrical connector, which completes the filter processing of different input signals according to the characteristics of the input signal, and realizes the input signal filtering and signal output of the reinforcement machine.
Owner:BEIJING INST OF SPECIALIZED MACHINERY

Preparation method and application of hindered phenolic quaternary phosphonium salt modified montmorillonite synergistic halogen-free expansion flame retardant

The invention discloses a preparation method of PP containing a hindered phenol quaternary phosphonium salt-modified montmorillonite-synergistic halogen-free intumescent flame retardant. The preparation method is characterized in that the hindered phenol quaternary phosphonium salt-modified montmorillonite-synergistic halogen-free intumescent flame retardant is added in PP, 22-28 parts of the hindered phenol quaternary phosphonium salt-modified montmorillonite-synergistic halogen-free intumescent flame retardant is added in per 100 parts of PP, and the flame retardant and PP are uniformly mixed through a double-screw extruder to prepare the flame-retardant PP. (1) The molecule of the hindered phenol quaternary phosphonium salt-modified montmorillonite-synergistic halogen-free intumescent flame retardant prepared by the preparation method disclosed by the invention has a hindered phenol antioxidant group and a quaternary phosphonium salt group, also has an efficient oxidation resistance, can exert a synergistic flame-retardant action with an intumescent flame retardant, and has an excellent flame-retardant effect and a low dosage; (2) the hindered phenol quaternary phosphonium salt-modified montmorillonite-synergistic halogen-free intumescent flame retardant disclosed by the invention has the quaternary phosphonium salt and hindered phenol groups in good compatibility with the PP, thus improving the interface bonding performance of montmorillonite and the PP, and the hindered phenol quaternary phosphonium salt-modified montmorillonite-synergistic halogen-free intumescent flame retardant is not liable to volatilize and good in processing stability.
Owner:GUIZHOU NORMAL UNIVERSITY

Face Recognition Method Based on Weighted Discriminative Sparse Constrained Nonnegative Matrix Factorization

ActiveCN105469034BOvercome the problem of weak expression ability of facial featuresOvercoming the problem of poor occlusion robustnessCharacter and pattern recognitionState of artSparse constraint
The invention discloses a face recognition method based on weighted discriminative sparse constrained non-negative matrix decomposition, which mainly solves the problem that the prior art is not robust to occluded faces and the recognition rate is low. The technical solution is: 1. Construct a non-negative weight matrix according to the occluded area of ​​the test image; 2. Introduce the weight matrix into the generalized KL divergence objective function, impose sparse constraints on the base matrix, and impose intra-class sums on the coefficient matrix. Divergence constraints to obtain weighted discriminative sparse constrained non-negative matrix decomposition objective function; 3. Solve the objective function, decompose the training data matrix to obtain the base matrix and coefficient matrix; 4. Project the test data matrix on the base matrix, Obtain the corresponding low-dimensional representation set as the final test data; 5. Use the coefficient matrix as the training data, use the nearest neighbor classifier to classify the test data, and output the result. The invention improves the face recognition effect in the case of occlusion, and can be used for identity recognition and information security.
Owner:XIDIAN UNIV

A Parallel Compression Method for Gene Sequencing Data Quality Score

The invention discloses a method for parallel compression of gene sequencing data quality scores, comprising the steps of: 1) dividing the FASTQ format file data to obtain the data of the quality score part; 2) calculating the quality score of each line in line units, And classify this line of data according to the score; 3) When the number of quality scores in a category reaches the threshold, or when there are no more quality scores in this category, put the quality scores in this category as a data block into the calculation buffer queue 4) take a data block in the calculation buffer queue by an idle computing unit, perform transformation, use vectorized optimized ZPAQ to encode, and put it into the output buffer queue after completion; 5) The compressed data processed by the output processing unit is output until the output of all the compressed data is completed, and then the maintenance information is added. The technical scheme of the invention has the characteristics of high performance and strong expansibility.
Owner:SOUTH CHINA UNIV OF TECH

Anti-electromagnetic domestic ruggedized computer based on Loongson 3A

The invention relates to an anti-electromagnetic domestic ruggedized computer based on Loongson 3A, and belongs to the field of military localization autonomous controllable vehicle control equipment.The ruggedized computer comprises a Loongson 3A main control module, a power module, an SOC auxiliary module, a function module, a filtering interface module and a case. The Loongson 3A main controlmodule can run a domestic operating system and provide various interfaces; the power supply module realizes power supply conversion and supplies power to the Loongson 3A main control module, the SOC auxiliary module, the function module and the filtering interface module; the functional module realizes interface expansion of the Loongson 3A main control module; the SOC auxiliary module assists theLoongson 3A main control module to process high-speed digital signals and video signals; the filtering interface module comprises a signal filtering module composed of a filtering circuit and an external interface module composed of an electric connector, filtering processing of different input signals is completed according to the characteristics of the input signals, and input signal filteringand signal output of the reinforcement machine are achieved.
Owner:BEIJING INST OF SPECIALIZED MACHINERY

Image retrieval method based on weight color-sift feature dictionary

The invention discloses an image retrieval method based on a weight color-sift characteristic dictionary. The image retrieval method based on the weight color-sift characteristic dictionary comprises the following steps that training images are selected in images to be retrieved randomly, the edges of the training images are extracted, the color-sift characteristics of edge points of all the training images are extracted, and a characteristic dictionary is constructed according to the color-sift characteristics, an image which needs to be retrieved is input and the color-sift characteristics of the retrieval image and the edge points of the image to be retrieved are extracted, and weight histogram characteristics of the retrieval image and the image to be retrieved are extracted based on the characteristic dictionary; similarity matching based on the weight histogram characteristics is conducted on the retrieval image and the images to be retrieved in the database based on the weight histogram characteristics; whether all the images to be retrieved in the database are all traversed is detected,, the result is matched according to similarity and the image searching result is displayed if all the images to be retrieved in the database are all traversed, and the similarity matching is conducted again if all the images to be retrieved in the database are not traversed. The image retrieval method based on the weight color-sift characteristic dictionary improves accuracy and callback rate during searching of a large-scaled image database, has dimension invariance, translation invariance and rotation invariance, and has the advantages that the image retrieval method based on the color-sift characteristic dictionary has locality, particularity, multi-amount property and high-efficiency property.
Owner:XIDIAN UNIV

Drop height fitting method

The invention discloses a drop height fitting method, which comprises the following steps: maintaining the list of effective test points; determining whether the three-time B-spline fitting is possible, and then performing three-time B-spline fitting or drop test guidance; solving the critical drop height; Determines whether a valid critical drop height has been achieved, then outputs the result or a drop test guide. The invention deletes the conflict points according to the conflict judgment rules to obtain effective test points, which is convenient for fast three-time B-spline fitting and improves test efficiency; at the same time, the three-time B-spline curve is used to perform curve fitting on effective test points to realize The rapid solution of the critical drop height further improves the efficiency of the test; the drop test guide adopts the method of successive approximation for test guidance, and prompts possible suitable test points for testing, thereby improving the efficiency of the test.
Owner:中华人民共和国昆山出入境检验检疫局 +1
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products