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55 results about "Fusion mechanism" patented technology
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The fusion mechanism describes any mechanism by which cell fusion or virus-cell fusion takes place, as well as the machinery that facilitates these processes. Cell fusion is the formation of a hybrid cell from two separate cells. There are three major actions taken in both virus-cell fusion and cell-cell fusion: "1) dehydrate polar head groups, (2) promote a hemifusion stalk, and (3) open and expand pores between fusing cells." Virus-cell fusions occur during infections of several viruses that are health concerns relevant today. Some of these include HIV, Ebola, and Influenza. For example HIV infects by fusing with the membranes of immune system cells. In order for HIV to fuse with a cell, it must be able to bind to the receptors CD4, CCR5, and CXCR4. Cell fusion also occurs in a multitude of mammalian cells including gametes and myoblasts.
System and method for intra-operative, image-based, interactive verification of a pre-operative surgical plan
InactiveUS6301495B1Registration errorAvoid mistakesGeometric image transformationDiagnostic markersFusion mechanismPhysical space
A system and method for intra-operatively providing a surgeon with visual evaluations of possible surgical outcomes ahead of time, and generating simulated data, includes a medical imaging camera, a registration device for registering data to a physical space, and to the medical imaging camera, and a fusion mechanism for fusing the data and the images to generate simulated data. The simulated data (e.g., such as augmented X-ray images) is natural and easy for a surgeon to interpret. In an exemplary implementation, the system preferably includes a data processor which receives a three-dimensional surgical plan or three-dimensional plan of therapy delivery, one or a plurality of two-dimensional intra-operative images, a three-dimensional model of pre-operative data, registration data, and image calibration data. The data processor produces one or a plurality of simulated post-operative images, by integrating a projection of a three-dimensional model of pre-operative data onto one or a plurality of two-dimensional intra-operative images.
Owner:IBM CORP
System and method for fusing three-dimensional shape data on distorted images without correcting for distortion
InactiveUS6747646B2Increase speedProcessing resource is not increasedCharacter and pattern recognitionComputerised tomographsPhysical spaceFusion mechanism
A system and method for intra-operatively providing a surgeon with visual evaluations of possible surgical outcomes ahead of time, and generating simulated data, includes a medical imaging camera, a registration device for registering data to a physical space, and to the medical imaging camera, and a fusion mechanism for fusing the data and the images to generate simulated data, without correcting for distortion. The simulated data (e.g., such as augmented X-ray images) is natural and easy for a surgeon to interpret. In an exemplary implementation, the system preferably includes a data processor which receives a three-dimensional surgical plan or three-dimensional plan of therapy delivery, one or a plurality of two-dimensional intra-operative images, a three-dimensional model of pre-operative data, registration data, and image calibration data. The data processor produces one or a plurality of simulated post-operative images, without correcting for distortion, by integrating a projection of a three-dimensional model of pre-operative data onto one or a plurality of two-dimensional intra-operative images.
Owner:INT BUSINESS MASCH CORP
System and method for fusing three-dimensional shape data on distorted images without correcting for distortion
InactiveUS6415171B1Increase speedProcessing resource is not increasedComputerised tomographsDiagnostic recording/measuringFusion mechanismPhysical space
Owner:IBM CORP
Multi-exposure image fusion method
InactiveCN104835130AReduce sizeReduce time complexityImage enhancementMultiscale decompositionFusion mechanism
The invention relates to a multi-exposure image fusion method. The Laplacian pyramid decomposition is utilized to perform multi-scale decomposition of an original image, so that a high frequency image and a low frequency image of the original image are obtained. Different fusion mechanisms are adopted for the high frequency image and the low frequency image to finally obtain a reconstructed image. In the Laplacian pyramid decomposition process, the size of the lower frequency image is much smaller than the size of the original image due to the processing process of down sampling of each layer, so that the time complexity of the sparse representation framework fusion method is greatly reduced, information of a specific frequency band can be highlighted, and more direction and texture information of the original image can be reserved.
Owner:BEIJING UNION UNIVERSITY
Polypeptides capable of inhibiting human coronavirus infections in a broad spectrum manner, and applications thereof
ActiveCN107022008AEnhanced inhibitory effectStrong inhibitory activitySsRNA viruses positive-sensePeptide/protein ingredientsHuman coronavirusFusion mechanism
The present invention belongs to the field of biomedicine, and relates to polypeptides capable of inhibiting human coronavirus infections, particularly to polypeptides capable of inhibiting human coronavirus infections in a broad spectrum manner, and applications thereof. According to the present invention, the polypeptides capable of providing broad spectrum inhibition effects for infections caused by more than 2 human coronaviruses are provided based on the conservation property of the S2 region of a coronavirus S protein and the similar fusion mechanism; the test results show that the polypeptides can achieve the commonality of the human coronavirus, ie., the similar HR region and the same fusion mechanism mediated by the coronavirus S protein so as to provide a series of HCoV-EK polypeptides, wherein the polypeptides provide good inhibition effects for currently popular human coronaviruses, and further provide good inhibition activity for SARS virus (RsSHC014-CoV or RsW1V1-CoV) possibly infecting human; and the polypeptides of the present invention can provide the prevention and treatment candidate drug for the currently popular human coronaviruses and the novel human coronavirus possibly emerging in the future.
Owner:SHANXI JINBO BIO PHARMA CO LTD
Video semantic representation method and system based on multi-mode fusion mechanism and medium
ActiveCN109472232AConsistent data representation dimensionsImprove performanceCharacter and pattern recognitionNeural architecturesFusion mechanismSemantic representation
The invention discloses a video semantic representation method and system based on a multi-mode fusion mechanism and a medium. Feature extraction: extracting visual features, voice features, motion features, text features and domain features of a video; Feature fusion: performing feature fusion on the extracted visual, voice, motion and text features and domain features through the constructed multi-level hidden Dirichlet distribution topic model; And feature mapping: mapping the fused features to a high-level semantic space to obtain a fused feature representation sequence. The model utilizesthe unique advantages of the theme model in the semantic analysis field, and the video representation mode obtained through model training on the basis of the model has ideal distinction in the semantic space.
Owner:苏州吴韵笔墨教育科技有限公司
Vehicle category identification method based on multi-channel video information fusion of license plate information and vehicle profiles
The invention provides a vehicle category identification method based on multi-channel video information fusion of license plate information and vehicle profiles. The method comprises the following steps of 1), obtaining video images by adopting a plurality of cameras mounted in different positions, and obtaining a vehicle side image and a vehicle head or tail image; 2), detecting, tracking and separating the vehicle images; 3), generating classification results by adopting corresponding methods for the images acquired by the cameras mounted in the different positions; and 4), comparing detection results of different methods, and adopting a simple voting information fusion mechanism. According to the vehicle category identification method based on the multi-channel video information fusion of the license plate information and the vehicle profiles, provided by the invention, the accuracy is effectively improved.
Owner:杭州熵领科技有限公司
Multi-strategy adaptive lane line detection method based on stereoscopic vision
ActiveCN110569704AImprove robustnessResolve interferenceCharacter and pattern recognitionPattern recognitionFusion mechanism
The invention discloses a multi-strategy adaptive lane line detection method based on stereoscopic vision, and the method is based on the stereoscopic vision, and improves the robustness of a lane line detection task through the fusion of the three-dimensional depth information of a disparity map and the RGB semantic information of a two-dimensional image. In the detection stage, a road surface area is adaptively segmented by priori knowledge of three-dimensional environment information to serve as a lane line estimation area, obstacles which are not related to detection are filtered out, andthe problem of interference is solved. In the lane line extraction stage, RGB semantic information of a two-dimensional image is used, and a multi-strategy fusion mechanism and a sliding window technology in an image time domain are adopted to further eliminate interference of areas such as tree shadows, road signs and local fouling related to detection. A three-order Bezier curve model is adoptedin the lane line fitting process, and order characteristics of different lane lines can be better expressed. According to the method, the robustness of a vision-based lane line detection task is greatly improved, and the data point search speed and accuracy are improved.
Owner:BEIJING UNIV OF TECH
Video behavior identification method based on time sequence causal convolutional network
ActiveCN110175580AReduce capacityImprove efficiencyCharacter and pattern recognitionFusion mechanismFrame sequence
The invention belongs to the technical field of computer image analysis, and particularly relates to a video behavior identification method based on a time sequence causal convolutional network. The method comprises the following steps: extracting spatial-temporal semantic feature representation from a plurality of video clips by using a sequential causal three-dimensional convolutional neural network to obtain a predicted behavior category; and performing modeling on the frame sequence up to the current moment to extract space-time high-level semantic features for behavior positioning and precision prediction, wherein a fusion mechanism of spatial convolution and time sequence convolution and a causal space-time attention mechanism are designed. The method has the advantages of high precision, high calculation efficiency, real-time performance and the like, is suitable for online real-time video behavior detection and analysis tasks, and can also be used for offline video behavior recognition, abnormal event monitoring and other tasks.
Owner:FUDAN UNIV
Wind turbine generator bearing fault diagnosing method based on deep joint adaptation network
ActiveCN108344574AReduce operational complexityHigh similarityMachine bearings testingElectricityFusion mechanism
The invention discloses a wind turbine generator bearing fault diagnosing method based on a deep joint adaptation network. The wind turbine generator bearing fault diagnosing method based on the deepjoint adaptation network comprises the following steps: 1), establishing a multi-element fusion database; 2), establishing a deep joint adaptation model; 3), establishing a wind turbine generator bearing fault diagnosing model of the deep joint adaptation network; 4), establishing a multi-GPU cluster computing system. With the wind turbine generator bearing fault diagnosing method, according to distribution difference characteristics between training data and target data during monitoring under different actual working conditions, an inter-domain invariant characteristic representing and probability distribution difference correcting mechanism is explored, a fault target recognition strategy based on an inter-domain joint distribution adaptation and common characteristic deep learning fusion mechanism is provided, advantages of a deep self-encoding network can be utilized, the characteristics are not required to be artificially selected, better, abstract and advanced characteristics can be automatically extracted, and the computational complexity of a classification algorithm is reduced; the wind turbine generator bearing fault diagnosing method is especially suitable for a multi-noise, large-data, complex-structure and dynamic system.
Owner:安赛尔(长沙)机电科技有限公司
Signal classification method and device
InactiveCN103000172AGuaranteed stabilityMeet real-time requirementsSpeech recognitionFeature vectorFusion mechanism
The invention provides a signal classification method. The signal classification method includes: acquiring a plurality of data units from signals to be classified, extracting m feature parameters from each data unit to form a short-term feature vector, selecting a group of data units from the data units, subjecting K short-term feature vectors corresponding to the group of data units to multiple statistical treatments so as to obtain a long-term feature vector comprising a group of statistical vectors Ys, s ranging from 1 to S, subjecting a j-th element of the short-term feature vectors from X1 to Xp to s-th statistical treatment so as to obtain a j-th element of the vectors Ys, and obtaining n long-term feature vectors corresponding to n groups of data units; sending the n long-term feature vectors into n classifiers obtained by pre-training according to a preset principle so as to obtain multiple classification results; and obtaining a final classification result from the multiple classification results according to a preset decision fusion mechanism. The invention further provides a signal classification device.
Owner:ZTE CORP +1
Super-resolution reconstruction method of depth map
The invention provides a super-resolution reconstruction method in which multi-view depth information is fused, belongs to the field of machine vision, and provides basis for 3D image processing technologies as virtual viewpoint drafting. The method comprises the following steps that 1) a trusted depth value is determined according to the restriction determining conditions that the depth values of the same 3D point shot in different visual angels are the same or close to one another and that the pixel values of color pictures are very close to one another when adjacent viewpoint color pictures and depth maps are used to draw single-viewpoint virtual view; 2) after that a trusted weight expression Ri, j(p) is determined, a matching point of all pixel points of the present viewpoint is searched according to a stereoscopic matching relation, the depth value credibility is combined with a virtual view quality credibility, and a multi-view depth map fusion mechanism is provided; and 3) the depth map is reconstructed. The method of the invention is mainly applied to 3D image processing.
Owner:TIANJIN UNIV
Design method of multi-dimension attribute data oriented multi-layered clustering fusion mechanism
ActiveCN104933444ARealize the clustering of pros and consImprove data clustering performanceCharacter and pattern recognitionProbabilistic methodData set
The invention discloses a design method of a multi-dimension attribute data oriented multi-layered clustering fusion mechanism. The method comprises the following steps: 1) converting a data set into a matrix form, and preprocessing data; 2) according to data index attribute characteristics, extracting an optimal reference standard, and carrying out normalization processing on the data; 3) calculating a grey correlation degree, generating a similar matrix of the grey correlation degree, and then, carrying out grey correlation degree clustering to obtain a primary clustering result; 4) according to the primary clustering result in the step 3), adopting a rough set theory to establish a decision table system; 5) calculating an attribute significance information entropy of the decision system for each clustering member; 6) setting a weight for each clustering member; and 7) according to the calculated weight, adopting a probability method to calculate a probability of each data object in each class level to which the data object belongs, selecting the class level where the data object belongs to when the probability is highest to serve as the class level to which the data object belongs to, and obtaining a final clustering fusion result.
Owner:NANJING UNIV OF POSTS & TELECOMM
Information-fusion-mechanism-based multi-robot dangerous odor source positioning method
ActiveCN102176119AHigh precisionReduce consumptionAdaptive controlFusion mechanismMultirobot systems
The invention relates to an information-fusion-mechanism-based multi-robot dangerous odor source positioning method. In the conventional methods, information is incompletely utilized, and communication constraints are not taken into account, so a multi-robot system may be locally convergent. The method provided by the invention comprises the following steps of: first establishing an information fusion matrix and an odor source position mean value distribution probability model, extracting mean value information, and storing the extracted mean value information into the information fusion matrix; then establishing odor source position probability distribution according to the mean value information, and extracting position information; and finally controlling robots to move to a target position by adopting spiral paths as motion trails of the robots based on probable positions and current position of an odor source, and continuously updating position information, corresponding to maximum concentration, obtained by the robot group and the position information, corresponding to the maximum concentration, obtained by individual robots until a given position is obtained. By the method,the multi-robot system can rapidly position the dangerous odor source, and effectively provide the probable positions of the dangerous odor source under the conditions of communication constraints.
Owner:扬州中规电机科技有限公司
LTE-U idle channel evaluation method based on multi-slot fusion mechanism
ActiveCN106412931AImprove sound judgmentAvoid wastingNetwork traffic/resource managementTransmission monitoringPacket collisionFrequency spectrum
The invention relates to an LTE-U idle channel evaluation method based on a multi-slot fusion mechanism, and belongs to the technical field of LTE-U (LTE in unlicensed spectrum) in mobile communication. An LTE-U system works in an unauthorized frequency range, and before the system access a channel, idle channel evaluation is needed generally. The LTE-U system divides the whole CCA window into multiple slots; sampling data of the multiples slots is used to generate a sampling matrix, a covariance matrix of the sampling data is calculated to obtain characteristic values, the characteristic values in ascending order are used to carry out unequal weighting on the corresponding slots, and the channel state evaluation performance when the CCA window is not completely aligned with a data packet is improved. The idle channel evaluation method can be used to improve the accuracy of channel state determination effectively, reduce the possibility of data packet collision among different systems, and the improves the spectral efficiency that the LTE-U system and a WIFI system coexist in the same channel in the unauthorized frequency range.
Owner:CHONGQING UNIV OF POSTS & TELECOMM
Model for predicting disease risk by applying convolutional neural network
PendingCN109585020AImprove accuracyHealth-index calculationMedical automated diagnosisDisease riskFusion mechanism
The invention discloses a model for predicting a disease risk by applying a convolutional neural network. The model is a four-layer convolutional neural network model which comprises a first layer, asecond layer, a third layer and a fourth layer; the first layer is composed of event matrixes built by EHRS, the second layer is a single side convolutional layer for extracting phenotypes the EHR matrixes in the first layer, the third layer is the maximum pooling layer with important phenotypes in the phenotypes extracted in the second layer, and the fourth layer is a softmax predicted whole connection layer. In the event matrix in the first layer, the horizontal dimension corresponds to a time stamp, and the vertical dimension corresponds to an event value; for combining patient EHR time smoothness, three different time fusion mechanisms are researched in the model; early fusion, late fusion and slow fusion are performed, and an advanced CNN framework with time fusion is built.
Owner:HUAQIAO UNIVERSITY
Multidomain complex product system layer behavior modeling method based on SysML
InactiveCN102393635AUnified modeling methodEasy to useAdaptive controlProduct systemFusion mechanism
The invention discloses a multidomain complex product system layer behavior modeling method based on a SysML. The behavior modeling method is implemented through the following steps of: 1) acquiring physical members contained in a physical subsystem; 2) on the basis of a SysML parameter diagram, carrying out dynamic modeling on continuous behaviors of all the physical members; 3) expanding the SysML parameter diagram to form an order parameter diagram, carrying out modeling on discrete behaviors of all the physical members on the basis of the parameter diagram, and fusing the discrete behaviors and the continuous behaviors on the basis of a view fusion mechanism of the order parameter so as to realize modeling of mixed behaviors; 4) acquiring all function modules of a control subsystem; 5) carrying out modeling on the discrete behaviors and continuous behaviors of control function blocks, and realizing fusion modeling of continuous parts and discrete parts of the mixed behaviors; and 6) connecting the physical members and the control function blocks by connectors. The behavior modeling method has the advantages of unified modeling method, convenience in use, fastness and high efficiency.
Owner:ZHEJIANG UNIV
Human activity change clue monitoring method oriented to protected area supervision
PendingCN110263627AImprove efficiencyQuick checkData processing applicationsScene recognitionFusion mechanismImage contrast
The invention discloses a human activity change clue monitoring method oriented to protected area supervision. The method comprises the steps of data preparation and registration, human activity automatic change detection, pseudo change pattern spot removal, change result interactive collection and editing and human activity change detection result display. The invention provides a deep fusion mechanism based on a remote sensing and GIS technology, and a whole set of remote sensing change detection technology system combining automatic detection and interactive collection and editing is formed by constructing change detection capabilities such as big data analysis, image and GIS analysis and multi-temporal image comparison and analysis. The efficiency of change detection service is further improved, human activities in the protected area can be rapidly and comprehensively detected, a basis is provided for timely discovering whether human activity changes affect the protected area or not, and technical support is provided for strictly protecting the protected area.
Owner:MINISTRY OF ECOLOGY & ENVIRONMENT CENT FOR SATELLITE APPL ON ECOLOGY ENVIRONMENT
Multi-label long text classification method introducing multi-path selection fusion mechanism
ActiveCN110134789APowerful Feature Extraction CapabilityImprove operational efficiencySpecial data processing applicationsText database clustering/classificationLearning basedFusion mechanism
The invention provides a multi-label long text classification method introducing a multi-path selection fusion mechanism, and relates to the technical field of multi-label long text classification based on a sequence-to-sequence architecture. According to the invention, the effect of completing multi-label long text classification based on a sequence-to-sequence architecture is improved; data published by challenging contest is learned based on a certain machine; the title data and the description data are spliced to obtain long text data; for undescribed data, a problem is copied as a description, then low-frequency word removal preprocessing is carried out on the data to obtain more effective data, a converter model added with a multi-path selection fusion mechanism is adopted for the obtained data to generate a label sequence for an input long text, and redundant information is effectively removed during decoding. Under test data, the recall rate of the label sequence generated by the model is 0.5% of the recall rate of a model which is not added with multi-path selection fusion; and the accuracy and the F1 value are improved by 1%.
Owner:UNIV OF ELECTRONIC SCI & TECH OF CHINA
Deep learning super-resolution method based on enhanced upsampling and discrimination fusion mechanism
ActiveCN110288524AImprove stabilityEnhance expressive abilityGeometric image transformationFusion mechanismDimensionality reduction
The invention provides a deep learning super-resolution method based on an enhanced upsampling and discrimination fusion mechanism, which comprises the following steps of: directly extracting original features of a low-resolution input image by using a single layer based on a deep learning convolutional layer in a residual error branch; using 6 cascaded multi-layer feature fusion-based circular convolution units to extract deep features, and enabling the deep features output by each circular convolution unit to be subjected to up-sampling through 6 deconvolution layers; fusing the up-sampled high-resolution features by applying a feature fusion mode with a discrimination mechanism, and performing dimensionality reduction on the up-sampled features by using a single-layer convolutional layer to obtain a residual error of the high-resolution image; carrying out up-sampling on the low-resolution image by using a bicubic interpolation method in a mapping branch; and adding the mapping and the residual of the high-resolution image pixel by pixel to obtain a final high-resolution image. According to the invention, an up-sampling opportunity is provided for low-resolution characteristics of each stage, and higher reconstruction accuracy is obtained.
Owner:GUANGZHOU TUWEI NETWORK TECH
Vertebral fusion mechanism approached through minimally invasive pathway
ActiveCN107049565AThe size of the contact surface can be controlledTraumaSpinal implantsFusion mechanismInjection port
The invention relates to a vertebral fusion mechanism approached through a minimally invasive pathway. The vertebral fusion mechanism comprises a bag and a supporting material, wherein the bag can be folded or contracted; an injection port is formed in one end of the bag; the supporting material is injected into the bag from the injection port; the bag, which is under a full state, is represented as a columnar structure; the surfaces, getting into contact with upper and lower vertebral bodies, of the bag are vertebral body contact surfaces; a contractible limiting mechanism is arranged in a circumferential direction of the bag; the contractible limiting mechanism is less than or identical to the bag under the natural full state in diameter; and a cross section, perpendicular to the vertebral body contact surfaces, of the bag is represented as a transverse H-shaped structure or a rectangular structure when the bag is implanted into an intervertebral disc and the supporting material is injected. The problem of a fusion cage, which cannot control contact areas with upper and lower vertebral bodies, causes influence to a fusion effect of the upper and lower vertebral bodies since a bone grafting space is too small is solved; and the fusion mechanism can adapt to height of an intervertebral space in a non-level mode and can control the contact areas with the upper and lower vertebral bodies.
Owner:NINGBO HICREN BIOTECH
Support-free 3D printing machine
The invention discloses a support-free 3D printing machine. The support-free 3D printing machine comprises a supporting shell, wherein the supporting shell is connected to a power output component of an X-axis translating mechanism; a fusion mechanism which is used for fusing consumable items which enter the supporting shell, a multi-sprayer assembly and a power supply mechanism are further mounted in the supporting shell; the multi-sprayer assembly is used for spraying out the fused consumable items and has a function of switching over multiple sprayers; the power supply mechanism provides power for switching of the sprayers of the multi-sprayer assembly; connecting columns which are uniformly distributed in the peripheral direction at intervals and are connected with the sprayers are arranged on a rotary seat; a plane on which the central axes of the connecting columns are located and a plane on which the central axis of the rotary seat is located are base surfaces; an included angle between each two adjacent base surfaces is the same and is delta; a power output component of the power supply mechanism is connected with the rotary seat; the rotation angle of the driving rotary seat is an integral multiple of delta; and printing on an object in the horizontal direction can be realized, so that support-free printing of a suspension structure is realized.
Owner:泰州市龙泽环境科技有限公司
Welding mechanism of position punch fixture glue piece
The invention discloses a welding mechanism of a position punch fixture glue piece. The welding mechanism comprises the glue piece and an adhesive tape fusion mechanism and an impact mechanism, wherein a low-power speed regulated motor drive and a high-precision splitter drive are utilized in the glue piece and the adhesive tape fusion mechanism, a trimming die and a bottom die can carry out 360-degree peripheral and 90-degree slitting rotation operation; the impact mechanism is internally provided with a high-precision linear slide rail and a linear sliding block so as to enable the impact mechanism to achieve the switchover of a die cutting region and a heat seal region, and a cylinder is driven by die cutting so as to drive whole upper structure to ascend and descend; and when an ironware stamping die is in operate, the glue piece and the adhesive tape fusion mechanism bear the impaction of the impact mechanism, thereby finishing the precise punching process of various elastic and non-elastic adhesive tapes. The welding mechanism of the position punch fixture glue piece provided by the invention is used for fusing a fixture plastic glue piece and the adhesive table after elastic adhesive tape position punch is carried out; and the welding mechanism is especially suitable for product production processes such as punching and fusion of a TPU (Thermal Receiver Unit), punching and fusion of PVC (polyvinyl chloride) flexible glue, punching and fusion of EVA (ethylene-vinyl acetate) and the like.
Owner:SUZHOU HUARI JINLING MACHINERY
Network packet loss rate boundary characterization method under multiple-data stream fusion mechanism
InactiveCN105743813AReflect the need for key service qualityIn line with the principles of analysisData switching networksQuality of serviceService model
Owner:WUHAN TEXTILE UNIV
Wireless Ad Hoc network fusion mechanism for different routing protocol
InactiveCN101489312AFacilitate communicationNetwork topologiesWireless network protocolsNetwork ConvergenceFusion mechanism
The present invention provides a fusion mechanism of wireless self-organizing network operating different routing protocols. The aim of the mechanism is self-adaptingly execute network fusing through perception in the gradual closing process of two networks. The node finds the other network through real-time interception. The network authentication is executed through handshaking information. A uniform routing protocol is confirmed through a priority comparing algorithm and the conflicted IP is discovered through Hash algorithm. The mechanism simply and effectively realizes the fusion of two networks and finally unifies routing protocols. The IP conflict is settled and the long-time communication of two networks is facilitated.
Owner:BEIJING UNIV OF POSTS & TELECOMM
Full-automatic production system for paper containers
The invention discloses a full-automatic production system for paper containers. The full-automatic production system comprises a front rack and a rear rack. A paper suction mechanism, a left splash-proof sheet cutting and fixing mechanism, a right splash-proof sheet cutting and fixing mechanism, a heating mechanism and a page holding butt fusion mechanism are arranged on the front rack in sequence, and a multi-station indexing rotary tray is arranged on the rear rack and provided with a top cup cylinder station, a cup bottom paper punching station, a primary hot air station, a secondary hot air station, a rotary bottom winding station, a rotary bottom rolling station and a cup falling station in sequence. The full-automatic production system of paper containers automatically completes the processes of paper feeding, left and right splash-proof sheet fixing, cup barrel butt fusion, bottom paper cutting, bottom rolling, finished product collection and the like, and professional equipment is provided for large-scale production of butterfly cup paper containers.
Owner:ZHEJAING DISCOVER MACHINERY MFG CO LTD
Message processing method and device, electronic equipment and computer readable storage medium
ActiveCN110399186AEasy to develop independentlyFlexible customizationExecution for user interfacesFusion mechanismInterface layer
The embodiment of the invention provides a message processing method and device, electronic equipment and a computer readable storage medium, and the method comprises the steps: obtaining an interfacemessage; and according to the multi-layer control tree, routing the interface message to an interface processing logic corresponding to the tail end interface or an interface processing logic corresponding to a single control in any layer of interface layer by layer. According to the embodiment of the invention, a loose fusion mechanism among multiple layers of interfaces is realized, so that theinterface engine of each layer of interface is conveniently and independently developed, and the flexible customization of the embedded interface is realized. In the whole message transmission and processing process, the problem of coordination and synchronization among multiple threads is not involved, and the problems of time consumption or jamming and the like caused by coordination and synchronization of the multiple threads are avoided.
Owner:ALIBABA GRP HLDG LTD
Second-hand vehicle pricing method, device and equipment and computer readable medium
InactiveCN109816409APricing is objective and accurateAccurate Pricing ResultsMarketingFusion mechanismData set
The invention provides a second-hand vehicle pricing method, a device, equipment and a computer readable medium. The method comprises the following steps: a parameter acquisition step, namely obtaining vehicle parameters of a second-hand vehicle to be priced; a data processing step, acquiring reference vehicle parameters based on the vehicle parameters; a pricing model generation step of constructing n vehicle pricing models based on the vehicle parameters and the reference vehicle parameters, and weighting the n vehicle pricing models by using BOOST to obtain a vehicle weighted pricing model,and a pricing step of obtaining pricing of a second-hand vehicle by using the vehicle weighted pricing model based on the vehicle parameters. According to the invention, a data set expansion mode isprovided; according to the method, the pricing of the second-hand vehicle is more objective and accurate, a single-model BOOST fusion mechanism is provided, the pricing result of the fused weighted pricing model is more accurate, a profit rate calculation mode is provided, the retail price and auction price of the second-hand vehicle can be estimated at the same time, and the pricing efficiency and accuracy are improved.
Owner:优轩(北京)信息科技有限公司
UAV based image splicing method and device
PendingCN108921776AEliminate "ghosting" phenomenonImprove matching speedImage analysisGeometric image transformationFusion mechanismImaging Feature
The invention relates to the technical field of UAVs, and discloses a UAV based image splicing method and device. The method comprises: acquiring an image to be spliced, wherein the image to be spliced comprises a first image and a second image; extracting feature points of the image to be spliced; performing rough matching on feature point pairs of the first image and the second image; using theedge detection algorithm to perform edge detection; removing mismatched feature point pairs; and adopting a fade-in and fade-out fusion mechanism to splice the first image and the second image. The extracted image features are matched, a transformation matrix between the images is estimated, and then the transformation matrix is used to align the images, the "ghosting" phenomenon of the images iseffectively eliminated, the matching speed and splicing speed are improved, the splicing accuracy is improved, and hardware requirements are low.
Owner:深圳市易飞方达科技有限公司
Statistic supervision and structure supervision based hidden messages analysis system
InactiveCN100507943CImprove reliabilityComputer security arrangementsImage data processing detailsPattern recognitionSteganalysis
Owner:BEIJING UNIV OF POSTS & TELECOMM
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