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63 results about "Olleya aquimaris" patented technology
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Adhesion agent and method of manufacturing the same
The invention discloses an adhesive, which comprises the following parts: epoxy resin, flexibilizer, catalyst, hardener, accelerant, mineral filler and solvent, wherein the flexibilizer consists of 10-100wt% hydrogenated acrylonitrile butadiene and 0-90wt% acrylonitrile butadiene with hydrogenated rate of hydrogenated acrylonitrile butadiene at 50-100%. The invention has good expression in peel strength of flexible printing circuit, flexibility, size stability, chemical-resisting and electric insulativity, which also possesses superior thermostable decomposability and anti-metal mobility.
Owner:BYD CO LTD
Multimode recurrent neural network picture description method based on FCN feature extraction
InactiveCN106844442AThe description is validGood to connectStill image data indexingNeural architecturesFeature extractionSemantics
The invention provides a multimode recurrent neural network picture description method based on FCN feature extraction. A multimode model composed of three parts, namely, a recurrent neural network (RNN), a fully convolutional neural network (FCN) and a multimode layer is obtained by training massive images labeled with text description, and automatic generation of text description of any input test image is achieved. By means of the method, image features can be effectively extracted, more detail information of the images can be retained, and the relation between words in the text description and the images can be better established. The method has significant advantages on semantics-based description between image salient targets or scenes.
Owner:SYSU CMU SHUNDE INT JOINT RES INST +1
Urban road network path planning method for non-global information
ActiveCN108847037AShorten the timeReduce average distance traveledControlling traffic signalsArrangements for variable traffic instructionsSingle vehicleGlobal information
The invention discloses an urban road network path planning method for the non-global information and improves efficiency of the urban transportation network through balancing the traffic network flow. A path planning method in the prior art can only calculate the best path for a single vehicle or requires more information and assumptions. In response to the above problems, through periodically monitoring state changes of road segments, intelligently learning and evaluating current road segment congestion indexes and constructing a PST model, the A*R algorithm is utilized for path selection, so the road network state is made to be in a flow balancing state. The method is advantaged in that a large number of experiments show that the method can more effectively balance the traffic network flow and alleviate traffic congestion in the scene with relatively a large number of vehicles and has a good performance in reducing the average driving time and the average driving distance, in addition, the method can significantly improve traffic congestion even when relatively lots of vehicles in the road network do not accept path planning navigation.
Owner:HUAZHONG NORMAL UNIV
Panorama composing method for motion video
ActiveCN1756313AEffective strenuous exerciseEffective situationTelevision system detailsColor television detailsComputer graphics (images)Olleya aquimaris
The invention discloses a panoramic synthesis method for motion video. Wherein, the motion video contains motion foreground and background; every video frame contains motion foreground and part background. The method comprises: using said a plurality of video frames to form a background panorama; extracting the motion foreground to overlay on background panorama. This invention has advantages as it is efficient to sharp motion of foreground or camera, and can show well the process and details of motion object action.
Owner:北京新奥混凝土集团有限公司 +2
Model and method for scheduling for mixed cloud based on deadline and cost constraints
The invention discloses a model and a method for scheduling for a mixed cloud based on deadline and cost constraints, which aims at solving the problems of low utilization rate of a private cloud and high cost of a public cloud in the scheduling process of the mixed cloud. The method comprises the following steps of proposing two scheduling strategies, namely the deadline priority and cost priority strategies, according to the property and cost targets; establishing a task and resource model of the mixed cloud, adaptively selecting the proper scheduling resource according to the task submitted by a user, firstly scheduling the task with higher requirement on the deadline to the public cloud, and also firstly scheduling the task with higher requirement on the cost to the private cloud, so as to enable the two strategies to meet the deadline and cost constraints. The method has the advantages that the two scheduling strategies can be well performed at the aspects of scheduling completing time, cost, deadline exceeding rate and private cloud utilization rate; especially when the task workload is high, the two scheduling strategies have better self-adaptive property and advantages.
Owner:GUANGDONG UNIV OF PETROCHEMICAL TECH
Catalyst for preparing linear-chain aldehyde in high-selectivity manner as well as preparation and application thereof
ActiveCN109806911AHigh selectivityImprove stabilityOrganic-compounds/hydrides/coordination-complexes catalystsPreparation by carbon monoxide reactionDispersityFormylation reaction
The invention discloses a high-selectivity method for preparing linear-chain aldehyde. According to the method disclosed by the invention, a phosphine-containing organic polymer self-loaded type high-dispersity metal catalyst is used, and olefin hydroformylation reaction is used for preparing the linear-chain aldehyde in a high-selectivity manner. The organic polymer self-loaded type catalyst takes one, two and three of metal Rh, Co, Pd, Ir and Rt as active components and a phosphine-containing organic polymer is used as a carrier, wherein the phosphine-containing organic polymer carrier is formed by co-polymerizing or self-polymerizing a multi-dentate organic phosphine ligand and a single-dentate organic phosphine ligand. The phosphine-containing organic polymer self-loaded type high-dispersity metal catalyst provided by the invention is applied to reactors including fixed beds, slurry beds, bubbling beds, trickle beds and the like. The method disclosed by the invention has very goodpresentation in the olefin hydroformylation reaction and can be used for producing a target product linear-chain aldehyde in the high-selectivity manner.
Owner:DALIAN INST OF CHEM PHYSICS CHINESE ACAD OF SCI
Sonar target detection method based on Faster R-CNN
InactiveCN108596030ASolve the detection speed is slowImprove detection efficiencyCharacter and pattern recognitionNeural architecturesFeature extractionSignal-to-noise ratio (imaging)
The invention discloses a sonar target detection method based on the Faster R-CNN. According to the method, characteristic extraction is performed on targets in different complex underwater environments through utilizing the deep learning technology, the method is the major innovation and attempt compared with present sonar target detection methods, limitations of traditional methods are broken, deep characteristics of sonar images at the low SNR can be extracted, and good target detection and identification on the linear targets can be carried out. The sonar target detection and identification network based on the regional accelerated convolutional neural network (Faster-RCNN) is established to carry out target detection for sonar data. The method is advantaged in that good performance oflinear target detection of the sonar images is achieved, feasibility of the deep learning method in sonar target detection is verified, and a new research method is provided for characteristic extraction of the complex underwater acoustic environment data.
Owner:HANGZHOU DIANZI UNIV
Machine vision based forest fire preventive early warning system and method thereof
InactiveCN109377703AAccurate Disaster Relief MeasuresAccurate trackingImage enhancementImage analysisEarly warning systemMachine vision
The invention discloses a machine vision based forest fire preventive early warning system and a method thereof. The system comprises a collection end and a monitoring platform composed of a movementtarget foreground detection module, a flame feature extraction module, a flame tracking and identification module and an alarm module, can monitor a fire hazard uninterruptedly in 24 hours, can identify occurrence of the fire hazard and track flame accurately, and emits a fire hazard early warning signal by the monitoring platform so that relates work staff can take measures accurately, and the system is high in practicality. A Gaussian mixture background model is sued when video images are detected to identify whether there are moving objects in the video images, a modeling algorithm is complete, targets can be extracted from videos effectively, the fire hazard identification rate can reach more than 92%, and the fire hazard identification accuracy can be improved substantially.
Owner:HECHI UNIV
Heterogeneous catalyst adopting phosphine-containing organic mixed polymer-metal as well as preparation and application of heterogeneous catalyst
ActiveCN106140303ASolution to short lifeImprove utilization efficiencyOrganic-compounds/hydrides/coordination-complexes catalystsChemical industryAlkaneFormylation reaction
The invention discloses a heterogeneous catalyst adopting a hierarchical pore structure and adopting phosphine-containing organic mixed polymer-metal as well as preparation and an application of the heterogeneous catalyst in production of aldehyde with a high normal / isomeric ratio through internal olefin hydroformylation. In the heterogeneous catalyst, one, two or three of metal Rh, Co and Ir are taken as active components, and a phosphine-containing organic mixed polymer adopting the hierarchical pore structure is taken as a carrier and is prepared from multidentate organic phosphine ligands containing alkylene and monodentate organic phosphine ligands through copolymerization. The coordinate bond type heterogeneous catalyst is applicable to a fixed bed reactor, a slurry bed reactor, a bubble column reactor, a trickle-bed reactor and other reactors. The provided heterogeneous catalyst has good presentation in the internal olefin hydroformylation reaction, internal olefins are firstly isomerized to be terminal-group olefins under the action of the catalyst, a hydroformylation reaction is performed, corresponding normal aldehyde is selectively generated, accordingly, the normal / isomeric ratio of the product aldehyde is high and can be higher than 15, and the content of alkane in the obtained product is lower than 1%.
Owner:DALIAN INST OF CHEM PHYSICS CHINESE ACAD OF SCI
An image enhancement method in a dark light environment
InactiveCN109685742AIncrease contrastHigh color saturationImage enhancementImage analysisColor imageNoise reduction
The invention discloses an image enhancement method in a dark light environment and belongs to the field of image processing. The problems of distorted representation result, blurred image contour andlow color saturation after enhancement seriously exist can be solved; The method comprises the following steps: extracting a brightness component V in an HSV in a dark light image, carrying out logarithmic transformation of global brightness, and carrying out overall brightness improvement on a low-illumination area in the dark light image; Obtaining neighborhood average brightness of pixel points in the current dark light image by using bilateral filtering under a receptive field three-Gaussian model of the retinal neurons; A function of extracting a local bright part from an image background is realized by utilizing top and bottom cap transformation processing, and then light and shade extraction and noise reduction are carried out on the image by utilizing top and bottom cap transformation; According to the method, the enhanced details of the dark-light color image can be well represented, the problem of non-uniform illumination distribution is solved, the overall contrast of the image is improved, the detail contour of the image is clear, and the color saturation is high.
Owner:HARBIN UNIV OF SCI & TECH
Online transaction fraud detection method based on entity relationship
PendingCN110555455AEffective detection of fraudImprove the effectiveness of fraud detectionRelational databasesCharacter and pattern recognitionEntity–relationship modelFeature learning
The invention relates to an online transaction fraud detection method based on an entity relationship, which is characterized in that the entity relationship is extracted according to transaction data, a relational network bipartite graph is constructed, and a heterogeneous network homogenization method based on node contraction and a neighborhood information aggregation promotion tree classification model mechanism based on ensemble learning and graph representation learning are provided. According to the method provided by the invention, from the perspective of practicability, the attentionis converted from the transaction node to the multi-order neighborhood information of the transaction in the relational network, and the potential association relationship between the transactions isfully considered, so that the possibility is provided for mining gang fraud. The gradient promotion model improves the fraud identification effect through continuously fitting the residual error of the model, and has a very good performance effect. Meanwhile, the method expands the ensemble learning from the application of the grid-type data to the application field of the graph data. Based on theabove aspects, a framework of the loan transaction fraud detection method is established, and technical support is provided for solving fraud transaction detection.
Owner:DONGHUA UNIV
Hypervideo construction method based on rough drawings
InactiveCN101763439AImprove abstract abilityHigh ambiguitySpecial data processing applicationsHabitComputer science
The invention discloses a hypervideo construction method based on rough drawings, which belongs to the technical field of computer application. The method of the invention comprises the following steps: establishing the scene rough drawings of each target video, and establishing the recessive semantic association relationship between the rough drawings and the target video; 2) searching the target video resources according to the established scene rough drawings, respectively adding noted rough drawings into each target video resource, and establishing the dominant semantic association relationship between different video resources; and 3) setting the behavior attribute of the noted rough drawings, establishing the association relationship between the target video expressed by the current rough drawing and other target video sources, and obtaining the hypervideo of the target video resources. Compared with the prior art, the invention has the advantages that the constructed hypervideo conforms to the cognizancing habits of people, can perfectly express the complicated semantic association between the videos, and simultaneously breaks through the traditional single linear passive viewing method.
Owner:INST OF SOFTWARE - CHINESE ACAD OF SCI
Method for high selectively preparing aldehyde by using olefin
ActiveCN107793304AStrong steric hindranceSolution to short lifeOrganic-compounds/hydrides/coordination-complexes catalystsCatalytic reactionsAlkaneFormylation reaction
The invention discloses a method for high selectively preparing an aldehyde by using an olefin. According to the method, an organic polymer self-load type catalyst is used, an olefin hydroformylationreaction is applied to high selectively preparation of an aldehyde. According to the organic polymer self-load catalyst, one, two or three metals selected from a group consisting of Rh, Co, Pd and Irare used as active components, and a phosphine-containing organic copolymer is used as a carrier, wherein the phosphine-containing organic copolymer carrier is formed by copolymerization of a polydentate organic phosphine ligand and a monodentateorganic phosphine ligand. The organic polymer self-load catalyst provided by the invention is suitable for reactors such as fixed beds, slurry beds, bubbling beds, trickle beds and the like, and has good performance in a reaction of high selectively preparing the aldehyde through the olefin hydroformylation reaction; the aldehyde with a high normal-specific ratio can be produced, wherein the positive-specific ratio can reach 25 or above; side reactions are few; and the alkane content of an obtained product is 1% or below. The multi-phase catalyst is good in stability, and the separation of the catalyst from the reactants and products is simple and efficient.
Owner:DALIAN INST OF CHEM PHYSICS CHINESE ACAD OF SCI
Voice activity detection method and equipment based on time domain and frequency domain
The invention discloses a voice activity detection method and equipment based on a time domain and a frequency domain. The method comprises the steps that noise energy of voice signals is estimated; white noise is added into the input voice signals; the voice signals after the white noise is added are processed in a framing mode; a short-time energy value of each frame is determined; a harmonic wave product spectrum value of each frame is determined; for each frame, whether the frame is a voice frame is determined according to the short-time energy value and the harmonic wave product spectrum value of the frame, and voice segments contained in the voice signals are obtained. According to the voice activity detection method and equipment, a time domain analysis method and a frequency domain analysis method are combined, the adaptability is high for the actual condition, performance is good under the circumstances that the background noise is human voice and the signal to noise ratio is low, the method is easy and ingenious to realize, and the equipment can be embedded into various voice systems easily.
Owner:BEIJING UNISOUND INFORMATION TECH +1
Phosphine-containing organic mixed polymer-metal heterogeneous catalyst and its preparation method and use
ActiveCN106140301ASolution to short lifeImprove utilization efficiencyOrganic-compounds/hydrides/coordination-complexes catalystsPreparation by carbon monoxide reactionFixed bedSlurry
The invention discloses a phosphine-containing organic mixed polymer-metal heterogeneous catalyst and its use in butyraldehyde production. The heterogeneous catalyst comprises one, two or three of Rh, Co and Ir as active ingredients and utilizes a multistage pore-structure phosphine-containing organic mixed polymer as a carrier. The phosphine-containing organic mixed polymer is prepared from an alkylene-containing polydentate organic phosphine ligand and a single dentate organic phosphine ligand through copolymerization. The coordination bond-type heterogeneous catalyst is suitable for a fixed bed reactor, a slurry bed reactor, a bubbling bed reactor and a trickle-bed reactor. The heterogeneous catalyst has good effects in hydrogen-propene formylation preparation of butyraldehyde, can produce high-normal / isomeric ratio butyraldehyde with a normal / isomeric ratio of 25 or more and realizes product propane content less than 0.1%. The heterogeneous catalyst has good stability and can be simply and efficiently separated from reactants and products.
Owner:DALIAN INST OF CHEM PHYSICS CHINESE ACAD OF SCI
Imidazole salt organic polymer catalyst, preparation method and applications thereof
ActiveCN107537575AImprove stabilityImprove applicabilityProductsOrganic chemistryCross-linkCarbon dioxide production
The present invention relates to an imidazole salt organic polymer catalyst, a preparation method and applications thereof, wherein an alkylene functionalized imidazole salt compound is subjected to self-polymerization or is subjected mixed polymerization with a cross-linking agent to form an imidazole salt organic polymer, a Lewis acid is added or is not added to the obtained imidazole salt organic polymer, and when the Lewis acid is added, the metal ions in the acid and the N and / or P in the organic polymer are subjected to coordination so as to obtain the imidazole salt organic polymer catalyst. According to the present invention, the catalyst can be used in fixed beds, slurry beds, tank reactors, trickle beds and other reactors; with the application of the catalyst of the present invention in the cyclic carbonate production reaction of epoxy compounds and carbon dioxide, the catalyst has high activity, the generated cyclic carbonate has good selectivity, and the applicability of the substrate is strong; and the catalyst has good stability, and the separation of the catalyst from the and the reactant and the product is simple and efficient.
Owner:DALIAN INST OF CHEM PHYSICS CHINESE ACAD OF SCI
Animation-based action prediction generation method and device
The invention provides an animation-based action prediction generation method and device, wherein the method comprises the steps of obtaining a current animation frame of a target animation corresponding to a target role; obtaining the current skeleton posture information of the target character and the motion posture information on a preset motion track according to the current animation frame; acquiring a similar action corresponding to the current animation frame and a similarity corresponding to the similar action; obtaining a fusion action according to the similarity and the similar action; obtaining a prediction action at the next moment; and controlling the target animation to simulate the prediction action in the next animation frame. According to the invention, the network learning is carried out on the motion characteristics of an action body with a skeleton structure, such as a human, an animal, etc., in different motion states and the change characteristics between the motion states; and finally, different motion characteristics can be well represented, and the change between different motion states can be naturally fused, so that the advancing animation effect of the people or animals is produced, and the natural effect of the animation effect is ensured.
Owner:TSINGHUA UNIV
Image description generation method based on architectural short sentence constraint vector and dual visual attention mechanism
ActiveCN109543820AStrong representation abilityCloselyStill image data retrievalNeural architecturesAlgorithmVisual perception
The invention discloses an image description generation method based on an architectural short sentence constraint vector and a dual visual attention mechanism, A semantic model for automatically describing the visual content information of images is obtained by training a large number of labeled texts. The semantic model is composed of three parts: a short sentence generation model, a dual visualattention mechanism and a constrained language model. The text description can be generated automatically for any input test image. The invention can effectively establish the relationship between the word and the image in the text description, and has good performance for describing the salient objects or scenes of the image based on semantics.
Owner:SUN YAT SEN UNIV
Sea ice calculating method of using marine navigation simulator to simulate ship-ice interaction process
The invention discloses a sea ice calculating method of using a marine navigation simulator to simulate a ship-ice interaction process. The sea ice calculation is divided into an ice breaking calculation module and a rigid body motion module according to current sea condition information, and sea ice force, sea ice brash ice shapes, and sea ice motion states during an ice breaking process are calculated and analyzed, and then generated results are transmitted to a ship motion model and an ice area visual system. The sea ice calculating method is used to fill in the blank of the sea ice calculating method of the marine navigation simulator, and a semi-infinite plane elastic foundation theory, a tapered beam structure, and an energy conservation theory are used in the corresponding modules, and then brash ice forming conditions, brash ice bending stress, and brash ice energy distribution and motion states are calculated. Sea ice physical characteristics are well displayed in the ice area simulation visual system of the marine navigation simulator, and the sea ice calculating method is used as a physical foundation of ship-ice interaction process visualization, the ice breaking process is dynamically and vividly simulated, and then reliable sea ice stress feedback is provided for a ship motion model.
Owner:DALIAN MARITIME UNIVERSITY
Production method and applications of cyclic carbonate
ActiveCN108440485AGood swelling propertiesImprove stabilityOrganic chemistryOrganic-compounds/hydrides/coordination-complexes catalystsEpoxyPhosphonium salt
The invention relates to a production method and applications of cyclic carbonate. According to the present invention, the used catalyst is a multifunctional biomimetic heterogeneous catalyst formed by an organic porous copolymer based on metalloporphyrin and a quaternary phosphonium salt, the catalyst carrier is formed by carrying out mixed polymerization on alkylene-functionalized metalloporphyrin and a quaternary phosphonium salt, and the active component of the catalyst comprises metalloporphyrin (as a Lewis acid activation epoxy compound) and a quaternary phosphonium salt (as a ring-opening nucleophilic reagent) functional group; the obtained multifunctional biomimetic heterogeneous catalyst can be used for fixed beds, slurry beds, kettle type reactors, trickle beds and other reactors; the obtained multifunctional biomimetic heterogeneous catalyst has good performance, extremely high activity (2000-6000 h<-1>), good selectivity (more than 99%) of the formed cyclic carbonate and strong substrate applicability in the cyclic carbonate production reaction between the epoxy compound and the carbon dioxide, further has good stability, and can be simply and efficiently separated fromthe substrate and the product.
Owner:DALIAN INST OF CHEM PHYSICS CHINESE ACAD OF SCI
Cross-age face recognition method
ActiveCN106650650ASolve the problem of low face recognition rate across agesSolve the low recognition rateCharacter and pattern recognitionPattern perceptionCosine Distance
The invention provides a cross-age face recognition method. According to the method, a cross-age face recognition system composed of two modules (a maximum entropy feature description module and an aging perception de-noising automatic coding module) is obtained by training a large amount of face images including four age groups, thereby realizing recognition on any two different age face images. The maximum entropy feature description module allocates codes including maximum information amount by using maximum entropy splitting of a decision tree, the aging perception de-noising automatic coding module reconstructs a feature descriptor of any age group into feature descriptors of four different age groups, the descriptors are integrated to obtain a face integrated feature vector for eliminating aging influencing, and face recognition is finally realized by calculating the cosine distance of integrated feature vectors of different faces. The method can well reduce the information loss problem of some traditional descriptors, eliminates the influence of the aging factor in cross-age face recognition, and has good performance in the cross-age face recognition problem.
Owner:SYSU CMU SHUNDE INT JOINT RES INST +1
Surface carving technology of metal jewelry
The invention discloses a surface carving technology of metal jewelry. The technology comprises the following steps: (1) processing raw materials: melting and then drawing a metal into a tabular shape; punching the tabular metal into a corresponding shape; and then cutting and trimming the metal; (2) setting parameters and compiling processing data: compiling words or patterns preliminarily designed into the processing data; (3) cutting and carving: cutting and carving the words or the patterns on the cut deformed metal by layers according to the processing data; and (4) subsequently processing: grinding and smoothening the metal with the carved words or the patterns. Patterns carved on the surfaces of metal ornaments can be clear and obvious by the technology to have smooth lines and favorably present the contents of the patterns so as to improve the ornament and the artistry.
Owner:深圳市金利珠宝首饰有限公司
Time sensitive transmission and bandwidth optimization utilization-based method used under IEEE802.15.4 network environment
ActiveCN101945430AIncrease usageImprove bandwidth utilizationNetwork traffic/resource managementTime sensitiveUtilization rate
The invention discloses a time sensitive transmission and bandwidth optimization utilization-based method used under an IEEE802.15.4 network environment, which comprises the following steps of: firstly, considering a time period Di of transmission data of different nodes and time ED (i) occupied by transmission; and secondly, allocating GTS for each node, reallocating GTS (UGTS) which is not usedin the last scheduling process by an effective method, and improving the GTS utilization rate so as to improve the bandwidth utilization rate. The method has the advantages of good performance in theprocess of transmitting time sensitive service and convenient implementation at a user terminal.
Owner:XIANGTAN UNIV
A real-time deblurring method for intelligent internal rearview mirror based on neural network algorithm
InactiveCN109461131AEliminate visual blind spotsImproved Deblurring ArchitectureImage enhancementImage analysisImaging processingTime space
The invention discloses an intelligent internal rearview mirror real-time deblurring method based on a neural network algorithm. The invention collects the road traffic video to generate blurred frameand clear frame, then repeatedly trains the CNN deblurring neural network with time-space recursion to obtain the optimal deblurring model, then takes the video image of the rear pavement collected by the camera as the input, and the obtained output is the dynamic video after deblurring processing. The invention provides an intelligent inner rearview mirror realization replacing the traditional outer rearview mirror, which can reduce the wind resistance, eliminate the visual blind area of a large freight car, and is suitable for bad weather and the like. Compared with the traditional image processing method, the network generated by depth neural network has better effect of deblurring. Improve the traditional CNN deblurring architecture, put forward the idea of space-time recursion, without increasing network parameters to expand the network acceptance domain, so that the efficiency of deblurring is greatly improved, can achieve real-time, and achieve the same effect as the traditional rearview mirror.
Owner:RES INST OF SUN YAT SEN UNIV & SHENZHEN
Video content visual analysis method based on map metaphor
ActiveCN105468666AIn line with instinctive operating habitsIn line with operating habitsSpecial data processing applicationsStatistical analysisAssociated function
The present invention relates to a video content visual analysis method based on a map metaphor, and belongs to the technical field of computer application. The method comprises: firstly, performing structuring processing according to an original video content to obtain data in a corresponding structure, and establishing a semantic association relationship between a map and a target video; then, performing layout algorithm processing on the processed data, so as to obtain a basic layout of a visualization system, and according to a mapping rule of a map metaphor system, mapping a video content and association onto a video map to generate the video map visualization system; and then implementing a draft interactive interface and other related functions such as counting, analyzing and querying paths. Compared with the prior art, the video map constructed by the method provided by the present invention meets cognitive habits of people, and based on an advantage of map expression, excellently presents a complex semantic relationship between the videos, and meanwhile breaks a conventional single linear passively browsing mode, and helps users browse the videos better.
Owner:INST OF SOFTWARE - CHINESE ACAD OF SCI
Target reconstruction method based on dictionary learning
ActiveCN108171790AAvoid dense matchingSolve the noiseImage enhancementImage analysisDictionary learningPattern recognition
The invention relates to a target reconstruction method based on dictionary learning. Firstly, existing dense point cloud models are utilized for constructing a point cloud dictionary library; then asparse point cloud model of the target is constructed, and is expanded by virtue of the point cloud dictionary library for obtaining a complete dense three-dimensional model, and features are constructed in a process of expansion on the basis of local curvature invariance of point cloud surface pieces to be used as bases of expansion; and finally, surface reconstruction is carried out on the model, which is obtained by expansion in the previous step, to complete target reconstruction. The method can greatly reduce computation time, and has very good performance for reconstruction of targets ofwhich image texture is not rich or texture areas are repeated.
Owner:BEIHANG UNIV
Human face countenance synthesis method based on dense characteristic corresponding and morphology
Owner:XI AN JIAOTONG UNIV
Triphenylamine containing isoindigo polymer, preparation method thereof, and application to electrochromism
The invention relates to a triphenylamine containing isoindigo polymer, a preparation method of the triphenylamine containing isoindigo polymer, and an application of the triphenylamine containing isoindigo polymer to electrochromism, and relates to an isoindigo polymer and a preparation method and an application of the isoindigo polymer. The invention aims at solving the problem of relatively narrow application range of isoindigo caused by the low solubleness of the isoindigo in an organic solvent. The structural formula of the triphenylamine containing isoindigo polymer is shown in the description, wherein n in the formula is a positive integer. The preparation method is as follows: 1, synthesizing N<1>,N<1>-bi(4-bromobenzene group)-N<4>,N<4>-diphenylbenzene-1,4-diamine monomer; 2, preparing an isoindigo derivative; 3, preparing the triphenylamine containing isoindigo polymer. The invention discloses the application of the triphenylamine containing isoindigo polymer to electrochromism as an electrochromic layer in an electrochromic device. The polymer has the electrochromic property and the memory property, can be applied to the electrochromism field, and is excellent in explosive detection and photoelectric detection. The triphenylamine containing isoindigo polymer is suitable for preparing the isoindigo polymer and the application of the isoindigo polymer.
Owner:HEILONGJIANG UNIV
Analog circuit intermittent fault diagnosis method based on multi-granularity cascade forest
ActiveCN110020637AReduce the amount of parametersGuaranteed uptimeCharacter and pattern recognitionInformation technology support systemData setDiagnosis methods
The invention provides an analog circuit intermittent fault diagnosis method based on a multi-granularity cascade forest. In order to solve the problem that the traditional fault diagnosis method is not suitable for large-scale complex integrated circuits at the present stage, and the tntermittent fault data is small, the characteristic that a multi-granularity cascade forest utilization algorithmis adopted to well express small data is adopted to classify different types of fault data so as to diagnose the intermittent faults of an analog circuit. According to the method, a deep neural network layer-by-layer cascade structure is adopted; the depth of a cascade layer and the number of random forests and complete random forests in each layer can be adjusted according to actual conditions,small-scale intermittent fault data can be trained to achieve a good result, the requirement of deep learning for a large-scale data set is avoided, and meanwhile the detection effect comparable to that of a deep learning algorithm can be achieved.
Owner:CHONGQING UNIV
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