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30results about How to "Guaranteed time and efficiency" patented technology
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Workflow scheduling method based on depth enhancement learning
InactiveCN106228314AGuaranteed time and efficiencyImprove generalization abilityResourcesNeural learning methodsDeep neural networksSample pool
The present invention discloses a workflow scheduling method based on depth enhancement learning. The method comprises the following steps of A) collecting M task execution workflow directed acyclic graphs (DAG) in an actual execution environment as a sample pool; B) carrying out the Markov decision process (MDP) modeling on each workflow DAG to generate a task state set S; C) according to a training method DQN of a neural network, using the task state sets S generated by the M workflow DAG and the corresponding known action sets A as the input to substitute into a deep neural network formula, and obtaining the value of a neural network parameter matrix. According to the present invention, and by the above method, the defects that the execution time of the workflow scheduling method is long and the generalization performance is poor under a current distributed environment, are solved, the time efficiency of an algorithm is guaranteed acceleratedly, at the same time, the generalization performance of the algorithm itself is increased, and a scheduling machine can learn a scheduling strategy autonomously according to the actual scene characteristics.
Owner:UNIV OF ELECTRONIC SCI & TECH OF CHINA
Multi-view image bidirectional matching strategy with constrained object information
InactiveCN103604417AEnsure time efficiency andEliminate false matchesPicture interpretationDependabilityMultiple point
The invention discloses a multi-view image bidirectional matching strategy with constrained object information. The multi-view image bidirectional matching strategy comprises the following steps: performing multi-view image forward matching of the constrained object information according to an imaging model of the image and the input ground object information so as to improve the reliability of matching similarity measurement and calculation by utilizing the information redundancy between the multi-view images; and performing backward matching of multiple independent stereoscopic images on the multi-view image forward matching result so as to effectively eliminate multiple matching points in the forward matching result, and improve the accuracy of the multi-view image matching result. The matching process of each point to be matched is not influenced in the matching strategy, the matching strategy is a parallel matching strategy, and high-efficiency parallel matching of multiple points to be matched is promoted. According to the method, the operating efficiency and the result reliability of multi-view image dense matching can be effectively improved, and the problems that the efficiency is low and multiple mismatching points exist in a traditional multi-view image matching method for matching single stereoscopic image and fusing multiple matching results are solved.
Owner:NANJING NORMAL UNIVERSITY
Novel multi-image plumb line track matching method capable of returning multiple elevation values
ActiveCN104318566AEfficient matchingGuaranteed validityImage enhancementImage analysisBundle methodMulti-image
The invention discloses a novel multi-image plumb line track matching method capable of returning multiple elevation values. The method comprises the following steps of: confirming m to-be-matched points of a ground space element (X0, Y0) on a benchmark image by using an image imaging model; matching multiple images restrained by space information to m to-be-matched points; calculating space three-dimensional coordinates (Xi, Yi, Zi) corresponding to the to-be-matched points and an absolute difference (deltaXi and deltaYi) between each coordinate (Xi, Yi) and the space element (X0, Y0) by adopting a multi-image adjustment bundle method, and deciding the returned elevation values according to whether the absolute difference is less than a set threshold. In the multi-image plumb line track matching method, multi-image matching and accuracy test of matching result are together fused to effectively eliminate wrong matching, so that the method can solve the disadvantage that only one elevation value can be returned by the traditional ground image matching method.
Owner:南京泛在地理信息产业研究院有限公司
Text data stream clustering algorithm based on affinity propagation
ActiveCN104778280AImprove flexibilityImprove good performanceSpecial data processing applicationsCluster algorithmData stream
The invention discloses a text data stream clustering algorithm based on affinity propagation. The text data stream clustering algorithm is characterized by including the following steps: 1, carrying out dimension reduction processing on a text data set to obtain a corresponding text vector set; 2, obtaining clustering centers of all moments, and completing the clustering algorithm. By means of the text data stream clustering algorithm, the accuracy and the robustness of the algorithm can be improved without assigning the number of clusters in advance, and therefore the requirements for solving practical problems are met.
Owner:HEFEI UNIV OF TECH
Three-dimensional target detection method and system based on substream sparse convolution
PendingCN112270332AEfficient deep extractionGuaranteed time and efficiencyImage enhancementImage analysisConvolutionVoxel
The invention provides a three-dimensional target detection method and system based on substream sparse convolution. The method comprises the following steps: obtaining initial point cloud data of a target scene; based on the initial point cloud data and the optimized point cloud voxel convolutional neural network, obtaining target point cloud features, and obtaining the optimized point cloud voxel convolutional neural network by optimizing the point cloud voxel convolutional neural network through substream sparse convolution; and performing target detection on the target scene according to the target point cloud features. According to the embodiment of the invention, the point cloud voxel convolutional neural network extraction method based on substream sparse convolution is constructed,further feature extraction is carried out by using the sparsity of the point cloud, and deep extraction can be carried out on local information more efficiently so that the efficiency and precision of three-dimensional target detection are improved.
Owner:WUHAN UNIV OF SCI & TECH
Edge computing time slice scheduling method based on deep reinforcement learning
PendingCN111506405ASolve the long execution timeGuaranteed time and efficiencyProgram initiation/switchingNeural learning methodsReal-time computingSample pool
The invention provides an edge computing time slice scheduling method based on deep reinforcement learning, which comprises the following steps: acquiring a plurality of task queues uploaded by terminal equipment, and taking the plurality of task queues as a sample pool; carrying out Markov decision process modeling on each task queue to generate a task state set and a corresponding action set; based on the task state set and the corresponding action set, obtaining a value of a neural network parameter matrix at a certain task execution moment through a neural network training method; judgingwhether the task state set is completely substituted into a neural network training method or not; if so, outputting the value of the neural network parameter matrix at the task execution moment to asample pool as a time slice scheduling result at the task execution moment; otherwise, continuing to execute Markov decision process modeling. According to the method provided by the invention, the time efficiency of the algorithm is accelerated and ensured, and the generalization performance of the algorithm is improved, so that a scheduling machine can autonomously learn a scheduling strategy according to actual scene features.
Owner:BEIJING JIAOTONG UNIV
Electronic dictionary work retrieval method based on self-adapting dictionary tree
InactiveCN101271466ASmall footprintImprove retrieval efficiencySpecial data processing applicationsWord searchSelf adaptive
The invention discloses an electronic dictionary words retrieval method based on a self-adaptive dictionary tree and relates to a words retrieval technology in an electronic dictionary. The method defines a retrieval structure with two levels which includes a prefix matching level of the self-adaptive dictionary and a complete words matching level for a piecewise dichotomy search. The retrieval method is that the matching of words prefixes is firstly implemented in the self-adaptive dictionary tree, and if the words prefixes are hit, the information of the words is returned. Otherwise, the piecewise dichotomy search level is started for the search, and the words to be searched for or the information of the words which is nearest to the words to be searched for is found out and returned. The electronic dictionary words retrieval method can be used for effectively improving the efficiency of the words search and ensuring the balance of time efficiency and space occupation.
Owner:SUN YAT SEN UNIV
Virtual network mapping method for cross-data center
InactiveCN104038400ASave communication resource requirementsGuaranteed survivabilityNetworks interconnectionSurvivabilityData center
The invention discloses a virtual network mapping method for a cross-data center. Under the condition that survival capability demands and reliability of a virtual network are ensured, first of all, partition is performed on virtual nodes in the virtual network through virtual node group partition (VNGP), based on current packets, all node pair sets among the different packets are searched for, final partition is determined, and then the virtual network after the partition is mapped to a bottom-layer data center network through a GVNM sub-algorithm. According to the invention, under the condition that the survival capability demands are ensured, the virtual nodes are mapped to the same data center, such that communication resources are saved. Besides, a reliability enhancement method in the data center is also employed, such that the reliability of the virtual network is ensured, and at the same time, the efficiency is high.
Owner:UNIV OF ELECTRONIC SCI & TECH OF CHINA
Super-large-scale integrated circuit database based on memory pool and design method
ActiveCN112241325ASupport high demandsQuick responseResource allocationCAD circuit designParallel computingEngineering
A super-large-scale integrated circuit database based on a memory pool comprises a memory pool manager, a memory page manager, a memory block, a memory page, an idle object linked list and a data object identifier. The memory pool manager is used for managing the memory page manager; the memory page manager is used for organizing a memory space of a design data object; the memory block is used fordistributing a space for performing object operation to a database; the memory page is used for distributing data objects; the idle object linked list is used for performing management through the memory page manager and storing released memory space; the data object identifier is used as a unique identifier of each data object to which the space is allocated. Through management of the memory pool, memory allocation and storage reading of the database have quick response and high-efficiency space utilization, so that high requirements on data in super-large-scale integrated circuit design aresupported.
Owner:南京集成电路设计服务产业创新中心有限公司
A text data stream classification method based on word vectors and an integrated SVM
ActiveCN109947945AImprove flexibilityImprove good performanceText database clustering/classificationSupport vector machineComputation complexity
The invention discloses a text data stream classification method based on word vectors and an integrated SVM (Support Vector Machine). The text data stream classification method comprises the following steps: 1, obtaining a seed text set from a text data set; 2, performing word vector expansion processing on the seed text set to obtain a corresponding feature dictionary and a noise dictionary; 3,performing feature weighted vectorization processing on the text data set to obtain a corresponding text vector set; and 4, constructing an integrated classifier to obtain classification results of all the texts. According to the method, the accuracy of the classification result can be improved by fully utilizing the data features under the condition that the calculation complexity is reduced, sothat the requirement for solving the actual problem is met.
Owner:HEFEI UNIV OF TECH
Fast object three-dimensional pose estimation method based on RGBD camera
PendingCN113888629AHigh precisionIncrease richnessImage enhancementImage analysisOutlier eliminationImaging Feature
The invention discloses a fast object three-dimensional pose estimation method based on an RGBD camera. The estimation method is realized through the following modules: an image and spatial feature extraction and fusion module, a three-dimensional key point prediction module and a pose resolving module with a microseparable group elimination mechanism. The method is mainly characterized in that a point-by-point feature fusion mechanism is utilized, image features and spatial features of an object are utilized at the same time, the richness of the extracted features is increased, it is guaranteed that the features conform to the three-dimensional structure of the object, and the key point estimation precision is improved; a confidence coefficient weighted key point estimation mechanism is utilized, in a process without iterative loop, the influence of inaccurate estimation on the overall estimator is inhibited, the key point estimation precision is improved, and the time efficiency is ensured; by means of a differentiable outlier elimination mechanism, accurate object three-dimensional pose estimation based on the RGBD camera is achieved in a process which does not need iterative loop, and the precision of pose estimation is guaranteed.
Owner:ZHEJIANG UNIV
Heat treatment quenching method of target material
ActiveCN113652526AReduce internal stressImprove uniformityVacuum evaporation coatingSputtering coatingGrain growthQuenching
The invention discloses a heat treatment quenching method of a target material. The method comprises the following steps that heat treatment is performed on a metal target material, and then quenching treatment is performed in a quenching medium to obtain a target material; when a heat treatment temperature T1 of the metal target material is more than or equal to 100 DEG C and less than 300 DEG C, the quenching medium is water; when the heat treatment temperature T2 of the metal target material is more than or equal to 300 DEG C and less than or equal to 500 DEG C, the quenching medium is oil; when the heat treatment temperature T3 of the metal target material is more than 500 DEG C and less than or equal to 700 DEG C, the quenching medium comprises air and oil which are forced to flow; and when the heat treatment temperature T4 of the metal target material is more than 700 DEG C and less than or equal to 900 DEG C, the quenching medium comprises air, oil and water which are forced to flow. According to the method, different quenching methods are adopted for the target materials with different heat treatment temperatures, the stress in the target materials is reduced, a grain size is reduced, grain growth in the long-time cooling process is prevented, and the quality of a target material sputtering deposition film is guaranteed.
Owner:先导薄膜材料(安徽)有限公司
Information hiding method of three-dimensional reference matrix based on mini sudoku matrix
ActiveCN111741184AGuaranteed time and efficiencyImprove image qualityDigital data protectionComplex mathematical operationsHidden layerAlgorithm
The invention discloses an information hiding method of a three-dimensional reference matrix based on a mini sudoku matrix. The method comprises the following steps: firstly, constructing a 3D Cubic reference matrix model; secondly, according to the difference table, the secret information value and the pixel value characteristics, carrying out addressing modification in an external hidden layer in a split-axis mode, hiding secret information in the external hidden layer, and obtaining a corresponding spatial search area; then, carrying out fixed value modification in the corresponding space search area, and hiding secret information in the internal hidden layer; and finally, modifying the value of the pixel group according to the coding coordinates of the inner and outer hidden layers toobtain a secret image embedded with secret information. Experimental results show that the method not only can realize better image quality and higher embedding capacity, but also has very considerable embedding efficiency, and can realize real-time embedding. In addition, according to the algorithm provided by the invention, the three-dimensional reference matrix can still be derived into the N-dimensional reference matrix, and the time efficiency of information embedding is still ensured.
Owner:绍兴图信物联科技有限公司 +1
Large-scale graph data set-oriented statistical significance subgraph mining method and device
InactiveCN108170862AExact optimal p-value thresholdAvoiding the False Positive ProblemArtificial lifeSpecial data processing applicationsData setMachine learning
The invention discloses a large-scale graph data set-oriented statistical significance subgraph mining method and device. The method comprises the following steps of: mining a graph data set G, correcting a statistical significance threshold value under a family error rate threshold value <alpha>, obtaining a corrected significance threshold value <delta>* and a minimum support degree threshold value <sigma> to be satisfied by mined subgraphs when the significance threshold value <delta>* is reached on the basis of an improved replacement inspection algorithm westfall-younglight; mining all the subgraphs, statistical significance threshold values p of which are smaller than or equal to the significance threshold value <delta>*, in the graph data set G; and converging support degrees of allthe mined subgraphs to the minimum support degree threshold value <sigma>. The method is capable of effectively calculating the repeated calculated amounts in the process of mining significant subgraphs.
Owner:NORTHEASTERN UNIV
Beam frame device for building construction
InactiveCN112727037APlay a protective effectPlay a safe construction effectScaffold accessoriesArchitectural engineeringEngineering
The invention relates to a beam frame device for building construction. The beam frame device comprises a beam frame supporting table and beam frame supporting columns, wherein the four beam frame supporting columns are arranged on the lower end surface of the beam frame supporting table; two side position protection plates are symmetrically arranged on the upper end surface of the beam frame supporting table; a first rotating rod is rotationally arranged on the upper end surface of the beam frame supporting table; and a main position protection assembly is fixedly arranged outside the first rotating rod in a sleeving manner. According to the beam frame device, a combined structure of the main position protection assembly and the side position protection plates is arranged on the beam frame supporting table, and the combined structure can play a role in protection; and specifically, in the working process, constructors can play a role in safe construction under the protection of the combined structure, so that production accidents are reduced, and the beam frame device has a higher market prospect.
Owner:CHINA CONSTR SECOND ENG BUREAU LTD
Text data stream classification method based on word vector and integrated svm
ActiveCN109947945BImprove flexibilityImprove good performanceText database clustering/classificationSupport vector machineComputation complexity
The invention discloses a text data stream classification method based on word vectors and an integrated SVM (Support Vector Machine). The text data stream classification method comprises the following steps: 1, obtaining a seed text set from a text data set; 2, performing word vector expansion processing on the seed text set to obtain a corresponding feature dictionary and a noise dictionary; 3,performing feature weighted vectorization processing on the text data set to obtain a corresponding text vector set; and 4, constructing an integrated classifier to obtain classification results of all the texts. According to the method, the accuracy of the classification result can be improved by fully utilizing the data features under the condition that the calculation complexity is reduced, sothat the requirement for solving the actual problem is met.
Owner:HEFEI UNIV OF TECH
Node fault detection method of power communication network
InactiveCN106375137AGuaranteed correctnessGuaranteed time and efficiencyData switching networksState variationImproved algorithm
The invention discloses a node fault detection method of a power communication network. On the basis of a gray prediction method, a heartbeat strategy is introduced into node fault detection of the power communication network, and state change of a network node system is predicted dynamically; and an obtained dynamic prediction sequence of the network node system is taken as basis, a fuzzy algorithm is used to process fault signal delay of network nodes, and an output value sequence of fault detection signals of the network nodes is calculated. According to the method, the average error rate of fault detection is much lower than that of a fuzzy clustering algorithm because that state change of the network node system is predicted dynamically during fault detection and the correctness of the improved algorithm in network node fault detection is ensured; and during fault detection, the fuzzy algorithm is used to make the fault signal delay fuzzy, and thus, the time efficiency of the improved algorithm in fault detection for multimedia network nodes is ensured effectively.
Owner:XINZHOU POWER SUPPLY COMPANY STATE GRID SHANXI ELECTRIC POWER +1
Multilayer morphological brain network construction method, intelligent terminal and storage medium
ActiveCN113344883AEasy to buildGuaranteed time and efficiencyImage enhancementImage analysisComputer visionBrain network
The invention discloses a multilayer morphological brain network construction method, an intelligent terminal and a storage medium, and the method comprises the steps: obtaining human brain image data, carrying out the preprocessing of the human brain image data, and extracting a plurality of morphological features from the human brain image data; dividing the plurality of morphological features according to brain regions based on a preset cortical map, and determining the brain region to which each morphological feature belongs; and according to the plurality of morphological features and the brain region to which each morphological feature belongs, constructing a multilayer morphological brain network. The construction method is simple, the constructed multi-layer morphological brain network integrates various morphological characteristics, the relevance and specificity between different morphological characteristics are considered, rich and comprehensive cerebral cortex morphological information is provided, and the time efficiency and economic benefits in the actual research and analysis process are guaranteed.
Owner:SOUTH CHINA NORMAL UNIVERSITY
Object Information Constrained Multi-view Image Bidirectional Matching Strategy
InactiveCN103604417BImprove reliabilitySolve efficiency problemsPicture interpretationMultiple pointImage matching
Owner:NANJING NORMAL UNIVERSITY
Information hiding method of 3-dimensional reference matrix based on mini Sudoku matrix
ActiveCN111741184BGuaranteed time and efficiencyImprove image qualityDigital data protectionComplex mathematical operationsHidden layerAlgorithm
Owner:绍兴图信物联科技有限公司 +1
A method for constructing a multi-layer morphological brain network, an intelligent terminal and a storage medium
ActiveCN113344883BEasy to buildGuaranteed time and efficiencyImage enhancementImage analysisMedicineComputer vision
The invention discloses a method for constructing a multi-layer morphological brain network, an intelligent terminal and a storage medium, comprising: acquiring human brain image data, preprocessing the human brain image data, and extracting several brain image data from the human brain image data. Morphological features; divide several morphological features according to brain regions based on the preset cortical atlas, and determine the brain regions to which each morphological feature belongs; according to several morphological features and each morphological feature brain regions, and construct a multi-layer morphological brain network. The construction method of the present invention is simple, and the multi-layer morphological brain network constructed combines various morphological features, taking into account the correlation and specificity between different morphological features, provides rich and comprehensive cerebral cortex morphological information, and ensures the practical Time efficiency and economic benefits in the research and analysis process.
Owner:SOUTH CHINA NORMAL UNIVERSITY
A cross-data center virtual network mapping method
InactiveCN104038400BSave communication resource requirementsGuaranteed survivabilityNetworks interconnectionSurvivabilityData center
The invention discloses a virtual network mapping method for a cross-data center. Under the condition that survival capability demands and reliability of a virtual network are ensured, first of all, partition is performed on virtual nodes in the virtual network through virtual node group partition (VNGP), based on current packets, all node pair sets among the different packets are searched for, final partition is determined, and then the virtual network after the partition is mapped to a bottom-layer data center network through a GVNM sub-algorithm. According to the invention, under the condition that the survival capability demands are ensured, the virtual nodes are mapped to the same data center, such that communication resources are saved. Besides, a reliability enhancement method in the data center is also employed, such that the reliability of the virtual network is ensured, and at the same time, the efficiency is high.
Owner:UNIV OF ELECTRONICS SCI & TECH OF CHINA
Fast Image Filtering Method Based on Space Filling Curve and Extreme Points
InactiveCN103218784BImprove filtering effectReduce interpolation errorImage enhancementPoint sequenceSource image
Owner:BEIJING INSTITUTE OF TECHNOLOGYGY
Optimization design method and system for arch bridge with suspender under moving load
ActiveCN114707202AImprove securityImprove stability and securityGeometric CADSustainable transportationElement modelLong span
The invention relates to a suspender arch bridge optimization design method and system under moving load, and the method comprises the steps: S1, drawing up the size of each member of an arch bridge, and building a finite element model; s2, on the basis of linear static force calculation, a finished bridge suspender force is obtained and serves as an initial optimization value of the finished bridge suspender force; s3, on the basis of the stability and strength effect of the main arch, forming a moving load immobilization working condition, and loading the moving load according to a fixed position; s4, calculating the moving load and the initial defect based on nonlinear calculation, and iteratively optimizing the optimal suspender force; s5, completing the design of residual components according to a conventional method; the system adopts the methods of S1 to S5; according to the method, the strength and stability of the main arch are considered, the moving load and the initial defect are considered for iterative optimization, the better finished bridge suspender force is solved, the design result is closer to the actual situation of the bridge, the bridge safety performance is higher, the method is easy to achieve in a programmed mode, the optimization speed can be adaptively changed, and the method can be used for large-scale optimization design of the large-span arch bridge. And the economical efficiency is higher.
Owner:CHINA CONSTR FIFTH ENG DIV CORP LTD +1
Method for recovering selenium from Cu-In-Ga-Se waste
PendingCN111377416AGood choiceNo synergistic leachingElemental selenium/telluriumPregnant leach solutionIndium
The invention provides a method for recovering selenium from Cu-In-Ga-Se waste, which comprises the following steps: adding a Cu-In-Ga-Se material into a sulfite solution to obtain a mixed solution; carrying out leaching treatment on the mixed solution in a pressurized environment, thereby obtaining the leachate obtained after leaching treatment; and adding an acid solution into the leachate for acidification decomposition, and then performing solid-liquid separation to obtain crude selenium. According to the method for recycling selenium from the copper-indium-gallium-selenium waste, sulfitewith mild properties serves as a leaching agent, leaching treatment is conducted on the copper-indium-gallium-selenium material in a pressurized environment, the requirement for corrosion prevention of equipment is low, the leaching time efficiency and the leaching rate of selenium can be guaranteed, and acid-base balance treatment is not needed subsequently; in the invention, selenium separationcan be achieved through the two steps of leaching and acidification precipitation, so that the process is short, the selenium separation efficiency is high, and the production cost is low.
Owner:DONGJUN NEW ENERGY CO LTD
Image segmentation method based on color sample and electric field model
The invention relates to an image segmentation method based on a color sample and an electric field model. In the invention, an electric field theory in physics is introduced to color sample learning, model training and pixel classification. The method comprises the steps of: selecting positive sample pixel data and negative sample pixel data of a target area from sample pictures, taking color space as a 3D electric field model and calculating field intensity of each coordinate point, deducing each color value probability belonging to an object area in the space based on a Bayesian criterion, searching an optimal segmentation threshold of an object in the space through an ROC curve describing classification effect, determining related parameters of the field model and a suitable electric field spatial resolution, and building indexes through a mapping table method to further achieve rapid pixel classification and image segmentation. Compared with the histogram model in the prior art, according to the invention, the non-sample point probability can be estimated under the circumstance of a small sample; compared with the kernel density estimation method in the prior art, according to the invention, image segmentation with high precision and high time-efficiency can be realized by using more kernels to describe color distribution of the target area.
Owner:WUHAN UNIV
A VLSI Database and Design Method Based on Memory Pool
ActiveCN112241325BSupport high demandsQuick responseResource allocationCAD circuit designParallel computingEngineering
A VLSI database based on a memory pool, including a memory pool manager, a memory page manager, a memory block, a memory page, a free object linked list, and a data object identifier, wherein the memory pool manager uses The memory page manager is used to manage the memory page manager; the memory page manager is used to organize the memory space of the design data object; the memory block is used to allocate to the database for object operation space; the memory page is used to allocate The data object; the free object linked list is used to manage and save the released memory space through the memory page manager; the data object identifier is used as the unique identifier of each data object allocated space. Through the management of the memory pool, the present invention enables the memory allocation and storage reading of the database to have fast response and high-efficiency space utilization, thereby supporting the high requirements for data in VLSI design.
Owner:南京集成电路设计服务产业创新中心有限公司
Electronic dictionary work retrieval method based on self-adapting dictionary tree
InactiveCN101271466BSmall footprintImprove retrieval efficiencySpecial data processing applicationsWord searchSelf adaptive
The invention discloses an electronic dictionary words retrieval method based on a self-adaptive dictionary tree and relates to a words retrieval technology in an electronic dictionary. The method defines a retrieval structure with two levels which includes a prefix matching level of the self-adaptive dictionary and a complete words matching level for a piecewise dichotomy search. The retrieval method is that the matching of words prefixes is firstly implemented in the self-adaptive dictionary tree, and if the words prefixes are hit, the information of the words is returned. Otherwise, the piecewise dichotomy search level is started for the search, and the words to be searched for or the information of the words which is nearest to the words to be searched for is found out and returned. The electronic dictionary words retrieval method can be used for effectively improving the efficiency of the words search and ensuring the balance of time efficiency and space occupation.
Owner:SUN YAT SEN UNIV
Text Data Stream Clustering Algorithm Based on Neighbor Propagation
ActiveCN104778280BImprove flexibilityImprove good performanceSpecial data processing applicationsCluster algorithmData set
The invention discloses a text data stream clustering algorithm based on neighbor propagation, which is characterized in that the steps are as follows: 1. Perform dimensionality reduction processing on text data sets to obtain corresponding text vector sets; 2. Obtain cluster centers at all times , and complete the clustering algorithm. The present invention can improve the accuracy and robustness of the algorithm without specifying the number of clusters in advance, so as to meet the needs of solving practical problems.
Owner:HEFEI UNIV OF TECH
A Novel Plumb Line Trajectory Matching Method for Multi-view Imagery Returning Multiple Elevation Values
ActiveCN104318566BEfficient matchingGuaranteed validityImage enhancementImage analysisBundle methodMulti-image
The invention discloses a novel multi-image plumb line track matching method capable of returning multiple elevation values. The method comprises the following steps of: confirming m to-be-matched points of a ground space element (X0, Y0) on a benchmark image by using an image imaging model; matching multiple images restrained by space information to m to-be-matched points; calculating space three-dimensional coordinates (Xi, Yi, Zi) corresponding to the to-be-matched points and an absolute difference (deltaXi and deltaYi) between each coordinate (Xi, Yi) and the space element (X0, Y0) by adopting a multi-image adjustment bundle method, and deciding the returned elevation values according to whether the absolute difference is less than a set threshold. In the multi-image plumb line track matching method, multi-image matching and accuracy test of matching result are together fused to effectively eliminate wrong matching, so that the method can solve the disadvantage that only one elevation value can be returned by the traditional ground image matching method.
Owner:南京泛在地理信息产业研究院有限公司
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