34results about How to "Fast and efficient identification" patented technology

The invention discloses a multilevel semantic feature-based face feature extraction method and recognition method. The method includes the following steps that: 1) organ areas of each image in a facial image set A are divided; 2) bottom-level features of each organ are extracted and clustered; two clusters are extracted from clustering results and are adopted as positive and negative samples, and the positive and negative samples are trained in a paired combination manner such that a classifier set can be obtained, and the results of discrimination which is performed on the bottom-level features by the classifier set are united so as to obtain the middle-level features of the organ; the images in the A are the classified according to tags; any two classifications are selected from classification results of the tags and are adopted as positive and negative samples, and the positive and negative samples are trained in a paired combination manner such that a classifier set can be obtained, and the results of classification and discrimination which are performed on all the middle-level features in the A by the classifier set are united so as to obtain high-level features of the tags; the bottom-level features, the middle-level features and the high-level features are adopted to construct face features of the images; face features Vq are generated for any image q to be searched; and the face features Vq are matched with the face features in the A, and query results are returned. With the multilevel semantic feature-based face feature recognition method and recognition method adopted, recognition accuracy and stability can be improved.

For tracing multi-conductor cable runs from multiple phone / data locations throughout a building or complex to a junction facility where the cables need to be systematically identified and connected to a terminal panel, rapid tracing and identification are accomplished by deploying a large number of special low-cost senders, e.g. a set of forty eight senders, connecting as many senders as required to energize every cable at each location via its standard modular jack. Each sender delivers a unique identification signal, e.g. a spoken number from 1 to 48, energizing a corresponding phone cable and / or data cable. With all of the cables thusly energized simultaneously and distinguishably, a technician working with a proximity probe in the junction facility can rapidly identify and tag and / or connect all the cables in an uninterrupted session, without requiring the usual assistant and intercom link, and with no time wasted probing unenergized cables. For larger systems beyond the tracing capability of the set number of senders, a range switch provides three additional extension ranges with unique identification numbers to preserve a numerical sequence when more than one session is required. As an optional refinement, one or more of the senders may be further equipped to enable wire-mapping of all active conductors in the cables.

The invention relates to a method for extracting and identifying graphic and text information of a scanned document, which comprises the following steps of: 1) preprocessing a scanned document image,carrying out layout segmentation on the preprocessed image, and selecting items, including but not limited to, a signature and a seal; (2) preprocessing the signature extracted in the step (1), removing a background by adopting an OTSU algorithm, inputting the signature into a Writer-Dependent network to extract a characteristic value of the signature, and inputting the characteristic value into an SVM classifier obtained by using real signature training to obtain the authenticity of the signature; (3) conducting polar coordinate transformation on the seal extracted in the step (1) after preprocessing, so that annular characters in the seal are expanded into transversely-arranged characters, inputting the expanded characters into a CPTN + CRNN network to be sequentially extracted and recognized, and outputting the character content of the seal; 4) judging the validity of the document. The method can replace manual work to analyze and judge the document.

The invention discloses a maize variety identification method based on near infrared spectrum and information processing. The method comprises the following steps of: collecting spectrum data of maize seeds by adopting a Fourier transform diffuse reflectance near-infrared spectrometer; analyzing main components by adopting normalization according to the characteristic of spectrum, i.e. normalizing the quadratic sum of projections of sample points on each principal axis; adjusting the distribution of the sample points in a feature space; adjusting the weights of the main components according to the diffusion condition of the data projections on each principal axis; and finally, classifying by adopting a nearest neighbor classification method. Compared with the traditional chemical identification method, the method provided by the invention is efficient and rapid and needs no professional person to operate.

The invention discloses a PSE meat screening method based on a near infrared spectrum. The method comprises the following steps: acquiring a near infrared spectrum of a to-be-detected meat sample of the slaughtered pork longissimus dorsi by using a near-infrared spectrograph, and preprocessing the acquired near infrared spectrum of the to-be-detected meat sample; and screening the PSE meat by virtue of the average spectrum of a normal meat sample, the average spectrum of a PSE meat sample, the normal meat sample threshold value and the PSE meat sample threshold value in a PSE meat qualitative analysis model based on the near infrared spectrum, wherein the meat sample is a normal meat sample when the distance between the spectrum of the to-be-detected meat sample and the average spectrum of the normal meat sample is smaller than the normal meat sample threshold value, and the meat sample is a PSE meat sample when the distance between the spectrum of the to-be-detected meat sample and the average spectrum of the PSE meat sample is smaller than the PSE meat sample threshold value. The method is high in speed, high-efficiency and high in identification rate, and the meat is not damaged. A novel scientific, standard and rapid method for screening PSE meat on line in a slaughter house is provided.

The invention discloses a method for identifying maize haploids. The method for identifying maize haploids provided by the invention comprises the following steps: (1) taking whether each corn kernel in a training set is a real haploid or a real diploid as a dependent variable, taking a near-infrared transmittance spectroscopy absorption value of each corn kernel as an independent variable, and establishing a haploid identification model by using a machine learning algorithm, wherein the training set is composed of a plurality of corn kernels, one part of the corn kernels are the real haploids, and the other part of the corn kernels are the real diploids; and (2) taking to-be-detected corn kernels, acquiring the near-infrared transmittance spectroscopy absorption values, inputting the absorption values into the haploid identification model established in the step (1), and outputting the result that the to-be-detected corn kernels are predicted haploids or predicted diploids by the model. The method provided by the invention can be used for automatic identification and has significances for promoting the maize haploid breeding technique engineering.

A method for detecting an information item within an information sequence obtained from a digital medium, said information item comprising any one of a specified set of prestored information items, comprising: transforming each of the set of prestored information items into a respective representation, in accordance with a predetermined transformation format; transforming the information sequence obtained from the digital medium, in accordance with the transformation format; and determining the presence of one or more of the prestored information items within the transformed information sequence, utilizing the respective representation, wherein the information items are divided into sets, and applying a security policy that depends on the number of detected information items that belong to the same set.

The invention discloses an image acquisition device and a multifunctional scanner. The multifunctional scanner comprises a data acquisition part, a data processing part and a power supply part; the data acquisition part communicates with the data processing part; the power supply part supplies power to the data acquisition part and the data processing part; the scanner is rapid in scanning speed, high in acquisition pixel point precision and multiple in output spectrum, and particularly can recover fuzzy book character information; and thus, bills, passport authenticity and fingerprint identification can be distinguished rapidly and effectively.

The present disclosure is directed to a method of high-throughput (HTP) microbial genomic engineering, which utilizes in vivo transposon mutagenesis to develop strain libraries for the perturbation of microbial phenotypes.

The invention relates to an application of the upland cotton flower based red spot marked character. In the application, a hybrid cotton parent or a pure line variety with the flower based red spot market character as a male parent or a female parent is used to hybridize other hybrid cotton parents or pure line varieties with or without the flower based red spot marked character to produce a hybrid variety; and after the produced hybrid variety is sawn, the identity and purity of the hybrid variety can be intuitively identified and inspected according to the proportion of the flower based redspot, wherein the hybrid cotton parent with the flower based red spot marked character comprises a two-line male sterile line, a three-line male sterile line, a maintenance line and a restoring line.By the application, the production quality of cotton seeds can be effectively controlled, the fake or poor purity seeds are prevented from impacting the market, and the technical support and protection are provided for production and sale of qualified seeds so as to maintain the lawful benefit of enterprises and peasants and promote healthy development of cotton planting industry. The applicationhas high application value.

The invention relates to a Fengwei chicken produced in a Sichuan province Aba prefecture Heishui country and belongs to the technical field of poultry. The Mn, Cs and Ag content in the Fengwei chickenand the Mn, Cs and Ag content in a white-feather chicken are obtained through multi-element content determination, multiple-comparison analysis, principal component analysis, analysis based on a hierarchical clustering method and discriminant analysis, and a discriminant analysis model is established. The problem is solved that the variety and geographical origin traceability standards of the Fengwei chicken cannot be determined by adopting the method in the prior art. The variety and origin place of the Fengwei chicken produced in the Sichuan province Aba prefecture Heishui country can be determined by utilizing the discriminant analysis model and the trace element content.

The present invention relates to a method for defining a colour range specific for a chosen category of samples, for use when identifying presence of cells of different categories in a tissue or cell sample. Further, methods for using the obtained colour range in selection of sample images comprising cells of a first category is also disclosed.

The invention relates to the technical field of anticancer peptide prediction, in particular to an anticancer peptide prediction method based on a bidirectional long-short-term memory network and feature fusion, which comprises the following steps: reading four reference peptide sequence data sets, and carrying out amino acid composition analysis on the data sets; feature extraction is carried out on the data set through Bi-LSTM, and a Bi-LSTM feature vector is generated; performing feature extraction on the five amino acid feature vectors through a full-connection neural network; and carrying out feature fusion on the feature vectors through a Concatenate algorithm, obtaining a probability score through a full connection layer with a unit 1 and a Sigmoid activation function, and distinguishing the probability score into an anti-cancer peptide and a non-anti-cancer peptide through the score. According to the method, the anticancer peptide prediction with high accuracy, high Marius correlation coefficient, high sensitivity, high specificity and high ROC curve area is realized.

The invention relates to a LAMP primer group, kit and method for detecting capsule histoplasma capsulatum, and belongs to the technical field of biology. The LAMP primer group for detecting capsule histoplasma capsulatum comprises the following primers: an outer primer Hca-F3: 5'-CGATTTTGCTGCATGGATC-3', an outer primer Hca-B3: 5'-CCAATTCAGCAGCATGGTTG-3', an inner primer Hca-FIP: 5'-ACGTTTTGCTGGCCCAACTCAGAAAGGCGTTGGTACCGA-3', an inner primer Hca-BIP: 5'-TGGTTATGCGATGGAATTCGCGTCTCTGGTTGCTTCTTCGG-3', a loop primer Hca-LF: 5'-GCCAGGGGATCTAAAGAG-3', and a loop primer Hca-LB: 5'-CGAGTACCACAATCTATACC-3'. The primer group, the kit and the method provided by the invention can be used for accurately, fast and efficiently identify the capsule histoplasma capsulatum.

This invention provides new combinatorial approaches for the biosynthesis and screening of cyclic peptides inside living cells. These novel approaches are useful for finding biologically relevant molecules, e.g., those able to inhibit the cytotoxicity of Anthrax Edema Factor. Key to this ‘living combinatorial’ approach is the use of a living cell as a micro-chemical factory for both synthesis and screening of potential inhibitors for a given molecular recognition event.

A method for monitoring quality of cigarette blast bead inner liquid is disclosed. The method includes dissolving blast bead inner liquid to be detected into an ethanol solvent; shaking the mixture for uniform mixing, and allowing the mixture to stand to obtain a solution to be detected; scanning the solution to be detected with ultraviolet light with continuous wavelength to obtain ultraviolet spectrum data of the solution to be detected, absorbing the ultraviolet light; pretreating the ultraviolet spectrum data; and recognizing the pretreated ultraviolet spectrum data with an SIMCA recognition model built in advance to obtain a recognition result indicating whether the blast bead inner liquid to be detected has same components as standard blast bead inner liquid. The method which is rapid, accurate, environmentally friendly and economical for monitoring quality of cigarette blast bead inner liquid is provided, and overcomes quality problems that chemical components of blast beads arechanged, wrong, mixed, and the like, thus providing a directing manner for objectively evaluating cigarette blast bead quality and completing a product quality monitoring system.

A computer-implemented method of managing replacement of a data file residing on a client computer to correspond to a new version residing on a server computer, the data file comprising one or more parts, the parts being sequentially ordered and grouped in plural consecutive chunks. The method comprises identifying those parts of the data file which are identical in the data file and the new version, identifying chunks comprising parts which are so identical, creating replacement chunks comprising parts not comprised in the chunks identified in the previous step, and causing only the replacement chunks to be transmitted to the client computer over a network.

The invention relates to a PON (Passive Optical Network) hardware single-board service form configuration method and system. Configuration parameters corresponding to PON hardware single-board serviceforms are packaged into a configuration file by adopting a binary form, and the configuration file is burnt into a flash memory of a single board. In a U-Boot stage, the configuration file is calledand parsed so as to replace hardware VID (Voltage Identification) and implement distinguishing on the service forms. According to the system provided by the invention, software versions and the configuration file are separated from each other. When configuration is updated, the software versions do not need to be recompiled, and multiple versions only require one configuration file in the binary form. Therefore, by adopting the PON hardware single-board service form configuration method and system which are disclosed by the invention, the workload of expanding the service forms can be simplified, different service forms can be rapidly and efficiently identified and loaded, and the software version maintenance difficulty is reduced.

The invention discloses a method for identifying maize haploids. The method for identifying maize haploids provided by the invention comprises the following steps: (1) taking whether each corn kernel in a training set is a real haploid or a real diploid as a dependent variable, taking a near-infrared transmittance spectroscopy absorption value of each corn kernel as an independent variable, and establishing a haploid identification model by using a machine learning algorithm, wherein the training set is composed of a plurality of corn kernels, one part of the corn kernels are the real haploids, and the other part of the corn kernels are the real diploids; and (2) taking to-be-detected corn kernels, acquiring the near-infrared transmittance spectroscopy absorption values, inputting the absorption values into the haploid identification model established in the step (1), and outputting the result that the to-be-detected corn kernels are predicted haploids or predicted diploids by the model. The method provided by the invention can be used for automatic identification and has significances for promoting the maize haploid breeding technique engineering.

The invention discloses a primer composition for identifying the ecotype of indica subspecies of rice and use thereof. The primer composition disclosed by the invention comprises the following primer pairs: a primer pair rm 216 consisting of DNAs represented by sequences 1 and 2, a primer pair rm225 consisting of DNAs represented by sequences 3 and 4, a primer pair rm235 consisting of DNAs represented by sequences 5 and 6, a primer pair rm25 consisting of DNAs represented by sequences 7 and 8, a primer pair rm 23 consisting of DNAs represented by the sequences 9 and 10, a primer pair rm 244 consisting of DNAs represented by sequences 11 and 12, a primer pair rm 253 consisting of DNAs represented by sequences 13 and 14, a primer pair rm 267 consisting of DNAs represented by sequences 15 and 16, a primer pair rm 296 consisting of DNAs represented by sequences 17 and 18, a primer pair rm 223 consisting of DNAs represented by sequences 19 and 20 and a primer pair rm 258 consisting of DNAsrepresented by sequences 21 and 22. The primer composition discloses by the invention can be used for identifying the ecotype of the indica subspecies of rice, has the advantages of quickness, convenience, high efficiency, high sensitivity, high identifying capacity, accurate and reliable result and the like.

The invention discloses a primer composition for identifying the ecotype of indica subspecies of rice and use thereof. The primer composition disclosed by the invention comprises the following primer pairs: a primer pair rm 216 consisting of DNAs represented by sequences 1 and 2, a primer pair rm225 consisting of DNAs represented by sequences 3 and 4, a primer pair rm235 consisting of DNAs represented by sequences 5 and 6, a primer pair rm25 consisting of DNAs represented by sequences 7 and 8, a primer pair rm 23 consisting of DNAs represented by the sequences 9 and 10, a primer pair rm 244 consisting of DNAs represented by sequences 11 and 12, a primer pair rm 253 consisting of DNAs represented by sequences 13 and 14, a primer pair rm 267 consisting of DNAs represented by sequences 15 and 16, a primer pair rm 296 consisting of DNAs represented by sequences 17 and 18, a primer pair rm 223 consisting of DNAs represented by sequences 19 and 20 and a primer pair rm 258 consisting of DNAsrepresented by sequences 21 and 22. The primer composition discloses by the invention can be used for identifying the ecotype of the indica subspecies of rice, has the advantages of quickness, convenience, high efficiency, high sensitivity, high identifying capacity, accurate and reliable result and the like.

The invention relates to a paper currency real and counterfeit discrimination and processing apparatus, and belongs to the field of cash automatic processing equipment. The paper currency real and counterfeit discrimination and processing apparatus is fixed in an automatic teller machine, and includes a temporary accommodating mechanism, a conveying mechanism, a cash deposit and withdraw outlet mechanism, discriminating mechanism, a storage mechanism and a control mechanism, wherein the control mechanism controls each mechanism to coordinate and operate according to the preset program and customer commands to complete the receiving, conveying and discrimination processes of paper currency. The paper currency real and counterfeit discrimination and processing apparatus has the advantages of being reasonable in structure and being high in the processing speed of paper currency depositing and withdrawing.

A decoding method includes receiving a code stream including multiple layers and a video parameter set (VPS), where the VPS includes a direct reference layer flag, the direct reference layer flag being equal to a first value indicating that a second layer is not a direct reference layer of the first layer, the direct reference layer flag being equal to a second value indicating that the second layer is a direct reference layer of the first layer; deriving a reference layer flag by: initially setting the reference layer flag to the first value; when the direct reference layer flag has the second value, updating the reference layer flag to the second value; and decoding the image in the first layer according to the reference layer mark to obtain a decoded image.

The invention discloses a multilevel semantic feature-based face feature extraction method and recognition method. The method includes the following steps that: 1) organ areas of each image in a facial image set A are divided; 2) bottom-level features of each organ are extracted and clustered; two clusters are extracted from clustering results and are adopted as positive and negative samples, and the positive and negative samples are trained in a paired combination manner such that a classifier set can be obtained, and the results of discrimination which is performed on the bottom-level features by the classifier set are united so as to obtain the middle-level features of the organ; the images in the A are the classified according to tags; any two classifications are selected from classification results of the tags and are adopted as positive and negative samples, and the positive and negative samples are trained in a paired combination manner such that a classifier set can be obtained, and the results of classification and discrimination which are performed on all the middle-level features in the A by the classifier set are united so as to obtain high-level features of the tags; the bottom-level features, the middle-level features and the high-level features are adopted to construct face features of the images; face features Vq are generated for any image q to be searched; and the face features Vq are matched with the face features in the A, and query results are returned. With the multilevel semantic feature-based face feature recognition method and recognition method adopted, recognition accuracy and stability can be improved.

The invention relates to an application of the upland cotton flower based red spot marked character. In the application, a hybrid cotton parent or a pure line variety with the flower based red spot market character as a male parent or a female parent is used to hybridize other hybrid cotton parents or pure line varieties with or without the flower based red spot marked character to produce a hybrid variety; and after the produced hybrid variety is sawn, the identity and purity of the hybrid variety can be intuitively identified and inspected according to the proportion of the flower based redspot, wherein the hybrid cotton parent with the flower based red spot marked character comprises a two-line male sterile line, a three-line male sterile line, a maintenance line and a restoring line.By the application, the production quality of cotton seeds can be effectively controlled, the fake or poor purity seeds are prevented from impacting the market, and the technical support and protection are provided for production and sale of qualified seeds so as to maintain the lawful benefit of enterprises and peasants and promote healthy development of cotton planting industry. The applicationhas high application value.

The invention discloses a method for identifying corn haploid grains based on nuclear magnetic resonance CPMG decay curve. The method provided by the invention includes the following steps: (1) collecting the nuclear magnetic signals of each corn kernel in the training set, and obtaining the normalized CPMG decay curve of the quality of each kernel; (2) performing data processing on the 0-600ms section, and then Carry out principal component analysis, and then construct a haploid identification model; (3) take the corn kernels to be tested, collect NMR signals, and obtain a mass-normalized CPMG decay curve; (4) perform data processing on the 0-600ms section, Then carry out principal component analysis, and then substitute the results into the haploid identification model, and output the results from the model. The method provided by the invention can be used for automatic identification and plays an important role in promoting the engineering of maize haploid breeding technology. The method for identifying maize haploids provided by the invention is simple, feasible, fast and efficient, has wide applicability, and has great application and popularization value.

The invention discloses a maize variety identification method based on near infrared spectrum and information processing. The method comprises the following steps of: collecting spectrum data of maize seeds by adopting a Fourier transform diffuse reflectance near-infrared spectrometer; analyzing main components by adopting normalization according to the characteristic of spectrum, i.e. normalizing the quadratic sum of projections of sample points on each principal axis; adjusting the distribution of the sample points in a feature space; adjusting the weights of the main components according to the diffusion condition of the data projections on each principal axis; and finally, classifying by adopting a nearest neighbor classification method. Compared with the traditional chemical identification method, the method provided by the invention is efficient and rapid and needs no professional person to operate.

The invention discloses a method for classifying seborrheic keratosis and flat wart diseases. Firstly, from a small number of marked characteristic pictures and non-characteristic pictures, an incremental model that automatically increases the data set is trained, and the unmarked The pictures are automatically labeled, and then the obtained labeled feature pictures are trained to obtain a deep convolutional neural network classifier, thereby providing an efficient and fast auxiliary identification method for doctors' diagnosis.