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271 results about "Random combination" patented technology

The technique can be used in lots of different situations. It is certainly useful for new product development, or for the generation of (advertising) campaign ideas, but it is particularly useful as an easy way of training your creative mind. The Random Combination is a variation of the ‘random input’ technique.

Compressed low-resolution image restoration method based on combined deep network

The present invention provides a compressed low-resolution image restoration method based on a combined deep network, belonging to the digital image / video signal processing field. The compressed low-resolution image restoration method based on the combined deep network starts from the aspect of the coprocessing of the compression artifact and downsampling factors to complete the restoration of a degraded image with the random combination of the compression artifact and the low resolution; the network provided by the invention comprises 28 convolution layers to establish a leptosomatic network structure, according to the idea of transfer learning, a model trained in advance employs a fine tuning mode to complete the training convergence of a greatly deep network so as to solve the problems of vanishing gradients and gradient explosion; the compressed low-resolution image restoration method completes the setting of the network model parameters through feature visualization, and the relation of the end-to-end learning degeneration feature and the ideal features omits the preprocessing and postprocessing; and finally, three important fusions are completed, namely the fusion of the feature figures with the same size, the fusion of residual images and the fusion of the high-frequency information and the high-frequency initial estimation figure, and the compressed low-resolution image restoration method can solve the super-resolution restoration problem of the low-resolution image with the compression artifact.
Owner:BEIJING UNIV OF TECH

Fast image retrieval method based on deep learning

An embodiment of the present invention discloses a fast image retrieval method based on deep learning. The method comprises: randomly generating two images from an image database as input of a network, and taking one as a query image and the other as a sample image, wherein each picture comprises a corresponding category tag; constructing a convolutional neural network, wherein the network comprises three sets of convolution pooling layers and two sets of fully connected layers; randomly combining the training sample sets into data pairs to be trained according to the convolutional network, obtaining the corresponding hash code, and calculating the Euclidean distance between two training sample sets; calculating the error function of the output value of the convolutional network, trainingthe convolutional neural network, and updating the network parameters by using the back propagation algorithm and the stochastic gradient descent method; and after obtaining the binary coding of the training data sets, sorting the training data sets according to the Euclidean distances from near to far, and outputting retrieval results in sequence. According to the method disclosed by the embodiment of the present invention, the problems of a slow retrieval speed, a large memory space, and an inaccurate retrieval result in the prior art can be solved, and the space-time efficiency of image retrieval is greatly improved.
Owner:SUN YAT SEN UNIV

In-situ polymerization intercalated composite gel material and its preparation method and application

ActiveCN101260163AEstablishing the idea of ​​in situ polymerization reactionSolve the problem that in-situ polymerization cannot occur to form intercalated compositesDrilling compositionRandom combinationPolymer science
The invention discloses an in-situ polymerization intercalation-type composite gel material and a preparation method and application thereof. The preparation method comprises the following steps: (1) interlayer dressing agent and clay are dissolved in water and are stirred 40 minutes to 60 minutes at a stirring speed of 10,000 to 15,000 r/min till the mixture is mixed evenly, thereby obtaining the mixing solution of the clay; (2) water-soluble monomer and initiator are added in the solution and are stirred 20 to 40 minutes at a stirring speed of 500 to 1,000 r/min till the mixture is mixed evenly; and (3) the reaction of the mixture is carried out under 80 to 140 DEG C for 6 hours to 12 hours. Moreover, the water-soluble monomer is one of or the random combination of acrylamide monomer, acrylic acid monomer, acrylonitrile monomer, acrylic ester monomer, allyl alcohol monomer, allyl urea monomer, allyl ether monomer, allyl ester monomer, allyl ether ester monomer and allyl azide monomer. Because the interlayer dimension of the composite gel material is between 4.5 nm and 6.0 nm, the composite gel material has excellent mechanical strength, injection performance, temperature resistance, salt resistance and plugging performance, thereby having a broad application prospect in the preparation of material for profile control and water shutoff.
Owner:CHINA NAT OFFSHORE OIL CORP +1

Work management system and method for manufacturing semiconductor

InactiveCN101206728ARealize dispatch controlFlexible dispatch controlResourcesManufacturing computing systemsManagement unitRandom combination
A dispatch management method of semiconductor manufacturing comprises that: according to the basic information of equipment and goods in process, the expanded information of equipment and goods in process is calculated by a dispatch processing unit; the expanded information is stored in an information management unit; with the dispatch processing unit, the basic information and the expanded information of the equipment and the goods in process are read by the information management unit; with the dispatch processing unit, the dispatch standard and the dispatch benchmark corresponding to the basic information and the expanded information are read by a rule management unit; according to the basic information and the expanded information provided by the information management unit and the dispatch standard and the dispatch benchmark corresponding to the basic information and the expanded information provided by the rule management unit, the dispatch processing unit is used to have the dispatch operation on the equipment and the goods in process and provides a dispatch listing. The method of the invention is applied to flexibly achieve the dispatch control according to the random combination of the factors of the limits of goods delivery time, equipment load and processing time and the operating conditions of the goods in process and the equipment.
Owner:SEMICON MFG INT (SHANGHAI) CORP

County-level crop planting area remote sensing statistic sampling survey scheme design method

InactiveCN107527014AAccurately obtain planting area statisticsRealize refined transformationImage enhancementImage analysisUnit sizeRandom combination
The invention discloses a county-level crop planting area remote sensing statistic sampling survey scheme design method. Multi-period up-to-date GF-1 16-meter-width images are adopted as a data source; a decision tree classification method is constructed to perform automatic interpretation, so that the spatial distribution condition of crops in a research area can be obtained; with the spatial distribution data of the crops adopted as a sampling population, on the basis of the arable land area and crop planting scale of the research area, a PPS sampling method is adopted to select a general survey region; various sample unit sizes and various sample unit quantities are designed in the selected general survey region, the quadrat unit sizes, quadrat sample unit quantities, sampling methods and calculation methods are combined randomly, the calculation results of the statistic sampling survey schemes of different combinations are compared with the planting area of target crops which is obtained through the data interpretation of GF-2 0.8-meter-resolution images; and analysis is performed according to the overall sampling accuracy, sampling stability and minimum sample capacity of result data, and a remote sensing statistic sampling survey scheme most suitable for the target crops of the research area can be obtained.
Owner:武汉珈和科技有限公司

Background clutter quantization method based on compressive sensing

InactiveCN102393911AReflect the characteristics of human visual perceptionIn line with physical natureCharacter and pattern recognitionPattern recognitionRandom combination
The invention discloses a background clutter quantization method based on compressive sensing, which solves the problem of incapability of fully embodying visual perception characteristics of human eyes by the conventional clutter scale. The method comprises the following implementation steps of: dividing a background image into a plurality of small units with the same size so as to form a background matrix; extracting main characteristics of a target vector and the background matrix to obtain a target characteristic vector and a background characteristic matrix; randomly combining the target characteristic and the background characteristic to obtain a target measurement matrix and a sensing matrix respectively; normalizing the target measurement matrix and the sensing matrix; reconstructing sparse signals by the normalized target measurement matrix and the normalized sensing matrix; and taking sum of absolute values of the calculated sparse signals as the background clutter scale of the whole image. By fully utilizing three sensing characteristics while searching via human eyes, the consistence of the predictable target detection probability and the subjective actual target detection probability is improved. The invention can be used for predicating and evaluating the target acquisition performance of a photoelectric imaging system.
Owner:XIDIAN UNIV

Random multi-code authentication traceability anti-counterfeiting method

The invention relates to a random multi-code authentication traceability anti-counterfeiting method and belongs to the field of anti-counterfeiting authentication. Labels in various forms such as random two-dimensional codes and RFID chips are printed on sealed packaging boxes and sealed packaging boxes of commodities. Two or more labels are randomly combined and matched to be input into a database. Each commodity has unique identification information. The identification information can be used for commodity identity authentication, and can also be used for identification basis of production,checking, warehousing, discharging and circulating, sales link. In a query link, labels on the commodities and packaging boxes of the commodities are scanned independently or in a combined mode and sent to a database to be inquired. The authenticity is judged according to the returned 'matching' or 'mismatching' query result, meanwhile, the time, place and category (production, warehouse-in and warehouse-out, dealer, retailer, consumer and the like) information of code scanning and checking is recorded by utilizing the block chain technology, and an early warning mechanism is established for the mismatched counterfeit commodity information, so that clues and evidence are provided for counterfeiting.
Owner:山西百伦信息科技有限公司

Magnetic resonance imaging (MRI) testing die body assembly

The invention provides a magnetic resonance imaging (MRI) testing die body assembly. The magnetic resonance imaging testing die body assembly comprises a plurality of modules which are vertically arranged at intervals, wherein each module is used for finishing one or more image quality tests of an MRI system, and also comprises a first module used for testing geometric distortion and a first bearing body which is of a plate structure; first groove channels and second groove channels are arranged in the first bearing body and are respectively extended along a first direction and a second direction. The first groove channels are intersected with the second groove channels to form a grid structure. Hole-shaped structures which are extended along a third direction are formed in cross points ofthe first groove channels and the second groove channels. Compared with the prior art, the magnetic resonance imaging (MRI) test die body assembly can be used by one or in random combinations by multiple die body assemblies. The multiple MRI test die body assemblies form a so-called general test die body. The general testing die body organically integrates various testing modules into one die body, which is easy to test and carry and provides convenience to hospitals performing MRI device quality control and quality guarantee. The general testing die body makes the environment where multipletesting modules are positioned is unified, unifies testing conditions and makes testing data more comparable.
Owner:SHANGHAI UNITED IMAGING HEALTHCARE

Drug target prediction method based on multiple similarity network walk

The invention relates to a drug target prediction method based on multiple similarity network walk. The method comprises the following steps of S1, obtaining the interaction relationship between drugsand drugs, targets and targets, drugs and diseases, targets and diseases, drugs and side effects from relevant databases, and constructing corresponding adjacency matrix; S2, by calculating Jaccard similarity among nodes in the adjacency matrix, constructing similarity networks corresponding to each adjacency matrix; S3, using a node2vec method to walk and train each similarity network to generate corresponding network feature vectors; S4, splicing the feature vectors of each network obtained in S3 are to obtain a combined feature vector of multiple networks of the drugs and targets; S5, according to an existing drug target relationship, obtaining a positive sample of a drug target pair, generating a negative sample equivalent to the positive sample by randomly combining, and splicing thedrug feature vectors and the target feature vectors obtained in S4 according to the combination of the positive and negative samples, thereby obtaining a final feature vector of the drug target pair;S6, using a random forest algorithm to conduct training, ten-fold cross-check and classification prediction on the positive and negative samples in S5.
Owner:SUN YAT SEN UNIV

Method for evaluating Traditional Chinese medicine activity and mechanism based on holistic approach

ActiveCN101793883ADiscuss synergyAntagonismComponent separationRandom combinationIntegral action
The invention relates to the research field of traditional Chinese medicine effect material basis, particularly relating to a method for evaluating traditional Chinese medicine activity and mechanism based on holistic approach, which is characterized by comprising the following steps: passing traditional Chinese medicine extract through high efficient liquid to acquire a traditional Chinese medicine finger print; determining target peaks in the finger print; connecting the outlet pipeline of a high performance liquid chromatography detector with a six-way switch valve, and collecting single target peaks, target peak groups at random combination and residue component bundles after knockout of target peak groups by the switch valve; and performing pharmacodynamic evaluation on a collected sample to obtain the activity sequence of the whole activity of the target peak groups and single target peaks, contribution of each single target peak in the traditional Chinese medicine extract and mutual interaction relationship between components. The invention broadens the research direction of the traditional Chinese medicine effect material basis, and provides a research method of traditional Chinese medicine integral action mechanism with simple operation and low cost.
Owner:CHINA PHARM UNIV

Method for realizing anti-counterfeiting effect by separated graph random combination and realization thereof

The invention relates to a method for realizing an anti-counterfeiting effect by separated graph random combination and realization of the method. The method belongs to a method for determining the authenticity of a detected object through recognizing and comparing the numerical characteristics formed by the random position combination relationship between one or a plurality of random graphs (B1, B2, B3 and the like) and fixed graphs (A) which are attached on the detected object. The realization comprises a random anti-counterfeiting graph generating process and an anti-counterfeiting recognizing and comparing process. The method for realizing the anti-counterfeiting effect by adopting separated graph random combination has the advantages that the anti-counterfeiting function of the graph anti-counterfeiting technology is greatly improved, and the defect that patterns of the graph anti-counterfeiting technology, the two-dimension code scanning anti-counterfeiting technology, the texture anti-counterfeiting label technology and the like in the prior art are generated in one step, so the imitation is easy is successfully avoided. The anti-counterfeiting graphs generated by utilizing the method are completely random and cannot be easily duplicated, the cost is low, the implementation is easy, and the popularization is favorably realized.
Owner:汤永平
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