116results about How to "Good identification effect" patented technology

The invention provides a spectrum library generating method, comprising the following steps: selecting analyzed spectrograms of an experimental tandem mass spectrometry, in which information of female ionic peptide sequences, electronic charges, modified types and sites are included; removing redundant spectrograms from the analyzed spectrograms of the experimental tandem mass spectrometry to obtain representing spectrograms; dividing the female ionic peptide sequences corresponding to the representing spectrograms according to a theoretical fragmentation mode to obtain theoretical spectrograms corresponding to the representing spectrograms; combining the theoretical spectrograms and the representing spectrograms to obtain optimized spectrograms; and labeling spectral peaks for the optimized spectrograms, and utilizing the optimized spectrograms with labeled spectral peaks to generate a spectrogram database. The invention further provides a spectrogram identifying method of the tandemmass spectrometry. In the invention, in the process of matching candidate spectrograms and the spectrograms of the tandem mass spectrometry to be analyzed, mass-to-charge ratio offset of the spectralpeak possibly introduced by a potential modification is concerned so that ionic spectral peak containing modified fragments is matched, thereby achieving better modified spectrogram identifying effect.

The invention provides a sparse self-adaptive semi-supervised manifold learning hyperspectral image classification method and provides a semi-supervised sparse manifold learning dimension reduction algorithm and a nearest manifold classification algorithm. Internal attributes and a manifold structure contained in high-dimensional data are well discovered by marking small amount of data points in a data sample and combining part of unmarked data points for learning, low-dimension embedded features with better identification performance can be extracted, classification result is improved, classification precision of land feature classification in hyperspectral remote sending images is improved, and problems about 'out-of-sample learning' of a sparse manifold clustering and embedding algorithm and difficulty in labeling the remote sensing image classification can be effectively solved; meanwhile, as is shown in experimental results in a PaviaU data set and compared with a common identification method in the prior art, the sparse self-adaptive semi-supervised manifold learning hyperspectral image classification method is better in classification result.

The invention provides a gene pool containing IST2 gene sequence fragments of labiate Isodon serra(Maxim.)Kudo and Rabdosia lophanthoides. The invention also provides a method for identifying plant species of the labiate Isodon serra(Maxim.)Kudo and Rabdosia lophanthoides. The method comprises a step of comparing IST2 gene or its sequence fragment of a plant sample, plant species of which is to be identified, to the gene pool provided by the invention. The invention also provides an application of the IST2 gene or its sequence fragment in identification of the labiate Rabdosia lophanthoides and the labiate Isodon serra(Maxim.)Kudo. It proves that the IST2 sequence is general, is easy to amplify and compare, and has good amplification and identification effects on the labiate Rabdosia lophanthoides and the labiate Isodon serra(Maxim.)Kudo.

The invention relates to a technical method for high-efficient breeding of wheat, which comprises low-temperature vernalization, south breeding and generation adding, shuttle breeding, multi-point combined identification and the like. In particular, the technical method comprises the following steps of: treating the seeds obtained after the strong-winterness wheat blossoms for 15 to 20 days by hydrogen peroxide, washing the seeds by pure water, sprouting the seeds at the room temperature, putting the seedlings growing to 1 to 2 centimeters in an artificial weather room, performing the green-body vernalization of the seedlings for 45 and 50 days at a temperature of between 3 and 5 DEG C and a relative humidity of 70 percent and under a light intensity of 15001x; hardening the seedlings of the winter wheat undergoing the vernalization treatment at the normal temperature for 1 to 2 days, and transporting the seedlings to Yuanmou in Yunnan province; and preparing a rice seedling bed, watering and soaking the rice seedling bed, discharging visible water before transplanting, and transplanting the seedlings in mud at dusk. The disease resistance, stress resistance, adaptability and yieldstability selections of breeding materials are carried out by shuttle breeding and multi-point combined identification and the like. The technical method for breeding provides rich reserve of raw materials for the rapid improvement of the wheat variety, and also lays a sold foundation for demonstration and popularization of a new variety in large areas.

A face detection training method, a detection method and an apparatus thereof are disclosed. A face detector comprises a first classifier and a second classifier. The training method comprises the following steps of collecting face and non-face images as training sample sets; extracting a brightness comparison characteristic of each training sample in the training sample sets; according to the brightness comparison characteristic, acquiring a corresponding fern characteristic; using the fern characteristic and a Bayes theorem to carry out training and acquiring the first classifier; using the brightness comparison characteristic and a minimized weight mean square error criterion to carry out P-round training, and acquiring P decision tree classifiers, wherein the P is greater than or equal to 1 and the P is an integer; and cascading the P decision tree classifiers so as to form the second classifier. The face detector acquired through applying the training method is used to carry out face detection so that complexity and a calculated amount of face detection can be reduced and detection efficiency can be increased.

The invention discloses a bifidobacteria detecting method in the milk product, which is characterized by the following: adding antibiotics in the culture base to inhibit growing other bacteria; detecting bifidobacteria selectively; studying lithium chloride, sodium propionate and maclicine to obtain fittest antibiotics proportion and quantity of bifidobacteria selectivity count.

The invention provides an image classification method based on unsupervised domain adversarial domain adaptation. According to the method, a generative adversarial network technology is applied to image classification based on unsupervised domain adaptation; in order to eliminate the misclassification rate of edge samples, a source domain sample and a target domain sample are jointly processed based on a deep dual-channel network. The method comprises the following steps: firstly, parameters of a dual-channel network are trained by utilizing a labeled source domain sample; then, domain differences are eliminated by learning and invariant features through adversarial games and a correlation alignment method; in addition, the method enables domain invariant features to have better discrimination by combining a center discrimination method and a feature similarity enhancement method, is better in classification effect, adapts to an image classification method through an unsupervised and adversarial field, and effectively alleviates the misclassification rate of edge samples.

The invention provides a finger vein image anti-counterfeiting identification method and device. The method comprises the steps of: S1, collecting finger vein images and performing true and false marking on the collected images; S2; dividing the marked true and false images into a training set, a verification set and a testing set, wherein the images in the training set are obtained by performingpartitioning operation on the marked images; S3, performing DBN model building and training; S4, performing BP model building and training; S5, extracting the characteristics of all hidden layers in the BP model; S6, inputting the extracted characteristics of all the hidden layers, as multi-layer feature vectors of the input images, into an SVM model for training and determining SVM parameters; S7, fusing true and false scores of all the blocks of each image to calculate an overall score and judging whether a finger vein image is true for false via the overall score. The method and the devicecan effectively improve the accuracy of finger vein image anti-counterfeiting identification and improve the security performance of certification systems.

The invention relates to an image invariant feature extraction method based on the circular trace transform, and belongs to the field of image processing and computer vision. In this method, a circular trace line of the new circular trace transform is used to track an image, functional results on the circular trace line are mapped to a space generated by the three parameters of radius, length and angle, the result of the circular trace transform is obtained, the result is further subjected to functional integration, and image quadruple circular trace spatial features can be obtained. Different circular trace transform results can be obtained by using different functions on the circular trace line, that is, different texture properties of the image can be represented and multi-dimensional circular trace transform texture feature information is generated. According to the invention, the texture features extracted by the circular trace transform have an RST invariant property, deeper image information can be obtained, a better resolution capability is gained for images containing circular and arc-shaped textures, and the recognition capability is improved significantly in the case of fewer training samples.

The invention discloses a method for extracting an estuary intertidal zone classification area by using an object-oriented classification technology, characterized by comprising the following steps of: (1) extracting water edges of estuary intertidal zones, wherein places involving water and the intertidal zones in a high resolution No.1 satellite remote sensing image are made into a mask by using Global Mapper software; supervised classification is performed on the water and the intertidal zones in ENVI; classification results are classified and clustered; vector graphs are guided out and then guided into the Global Mapper software for correction; and the water edges of the estuary intertidal zones are extracted and obtained; (2) making the vector graphs with an shp format; and (3) extracting the estuary intertidal zone classification area, wherein intertidal zone classification is performed by using a sample-based object-oriented flow of the ENVI software, and the data of the intertidal zone classification area is extracted. The method of the invention can perform high precision extraction on the intertidal zone classification utilization information. The operation is convenient, and the feasibility is strong.

The invention discloses a curved surface similar label identification method based on improved structure similarity. The method comprises the steps of image acquisition, template image processing, image segmentation and stretching, image registration, similarity identification and the like; the image acquisition comprises acquisition of a to-be-detected image and a template image; the template image processing realizes stretching of the template image and tailoring of a label region; the image segmentation and stretching realize segmentation of the label region from the to-be-detected image, so that a to-be-detected label image is obtained; the image registration step is used for registering a template label image and the to-be-detected label image; and the similarity identification step is used for calculating the similarity between the template label image and the to-be-detected label image through the improved structure similarity GDSIM, so that whether labels are the same labels ornot is identified. The label identification method disclosed by the invention is simple in step and is suitable for not only plane labels but also curved surface labels; and for the problem that thelabel is difficult to identify under the condition of non-uniform illumination and slight deformation in the label image, a good identification effect can be achieved.

The invention discloses a method for identifying a cherry variety, and belongs to the field of molecule identification of cherry varieties. The invention firstly discloses 11 pairs of SSR (Simple Sequence Repeats) primers for identifying the varieties of cherry, wherein the nucleotide sequences of the primers are as shown in SEQ ID No.1 to SEQ ID No.22. By adopting the method, core primer combinations are further screened from the 11 pairs of the SSR primers, 87 cherry germplasms can be distinguished by using 5 core primer combinations, and the obtained primer combinations have the advantages of being high in polymorphism, high in amplification stability, good in repeatability, clear in electrophoretic band and the like. The invention further discloses a cherry variety identification method and a kit based on S genotype information and SSR primer combinations. By adopting the primers, identification upon different cherry varieties can be rapidly and accurately completed. The SSR primer pairs, the cherry variety identification method and the kit disclosed by the invention can be applied to cherry germplasm evaluation, cherry germplasm innovation, parent choice for breeding, and the like.

The invention relates to a multifunctional chemical crosslinking agent. The multifunctional chemical crosslinking agent is a three-arm type structure consisting of two reaction functional group arms and an arm containing an affine functional group and a cleavage site. The invention further provides a preparation method of the multifunctional chemical crosslinking agent. The multifunctional crosslinking agent is very excellent in both of water solubility and stability, and high in crosslinking efficiency; when the multifunctional crosslinking agent is applied to protein analysis; its good crosslinking peptide fragment identification ability is presented in samples of simple systems such as BSA, and ten standard protein mixtures; the crosslinking agent also can identify considerate crosslinking site in complex biological samples such as escherichia coli 70S ribosome, escherichia coli full cell lysis buffer and caenorhabditis elegans full cell lysis buffer, and present very good application value; thereby providing a powerful tool for the future study of interaction of complex biological system proteins.

The invention discloses an SAR target identification method based on feature dimension reduction, and relates to research on a target identification method in SAR image automatic target identification. The method includes the steps that firstly, an SAR training image set is preprocessed, and a training sample set is established; secondly, a linear model is established for the training sample set, an optimal dimension reduction matrix is acquired, dimension reduction is conducted on the training sample set, a dimension-reduced training sample set is obtained, and a probability density function of the dimension-reduced training sample set is acquired; thirdly, SAR test images are preprocessed, and test samples are established; fourthly, dimension reduction is conducted on the test samples through the optimal dimension reduction matrix, dimension-reduced test samples are obtained, the likelihood probability of the dimension-reduced test samples is acquired, and the dimension-reduced test samples are identified through a Bayes classifier. The method mainly achieves the purpose of SAR target identification under the small sample condition, compared with the prior art, the identification performance of the method is obviously improved, and the method can be used for SAR target identification.

The invention relates to Chinese cabbage EST-SSR labeled primers and an application thereof to identification of varieties, belonging to the technical field of molecular biology. The invention provides sequences of a Chinese cabbage EST-SSR labeled primer BRE28, a Chinese cabbage EST-SSR labeled primer BRE121 and a Chinese cabbage EST-SSR labeled primer BRE131, and an application of the labeled primers to identification of varieties of Chinese cabbages. The amplified products of the EST-SSR primers of the invention are in parental complementary banding patterns which have obvious size difference, thus hybrids and parental inbred lines can be well distinguished, and different varieties of the Chinese cabbages can be identified. The amplified products among individuals in the same variety have consistent banding patterns.

The invention relates a PML gene and RARA gene detection probe and a preparation method thereof. The method comprises the following steps that at least one of RP11-832J18, CTD-2529B11, RP11-756N20 and RP11-1031J4 and a selected BAC cline for an RARA gene is at least one of CTD-2360L10, RP11-737D6, CTD-3087O22, RP11-48O10 and CTD-2134K5 are included; a plasmid DNA is obtained; labeling is performed. The invention further discloses a reagent kit containing the PML gene and RARA gene detection probe for detecting acute promyelocytic leukemia PML and RARA fusion genes. The optimal PML gene and RARA gene detection probe is obtained through screening, the signal counting row is accurate and rapid, and the result repeatability is good.

The invention provides a method of identifying protein phosphorylation modification sites on the basis of tandem mass spectrometry. According to the method, application result data is searched by tandem mass spectrometry MGF-formatted (mascot generic file-formatted) data and mascot and pFind databases; programming is performed by a Perl language program; identified protein phosphorylation modification sites are re-located fast; and the re-located protein phosphorylation modification sites are calculated by a new scoring algorithm. The method is more creditable and also allows for fast automatic batch exporting of mass spectrograms related to the protein phosphorylation modification sites. The method has the advantages that operation is simple, locating information of the modification sites is highly creditable and the extracted mass spectrograms are high in resolution. The method is well applicable to the field of proteomics study.

The present invention discloses an anti-rotation HDO local feature description method for target robust identification. The method comprises the following steps: setting a circular detection region of an image; calculating a similar RGT gradient of the image; calculating a structure tensor, and obtaining a main direction and consistency of each pixel point; dividing a circular image into a plurality of ring-shaped sectors to be used as cells, combining every four adjacent cells into a block, and calculating a feature vector of each Block; and combining the feature vector of each Block together to form an HDO feature description. According to the method disclosed by the present invention, an RGT conversion technology is introduced, and the structure tensor is constructed during construction of a pixel point circular neighbourhood, so as to ensure that the main direction and consistency of each pixel point do not change when a picture rotates, and then a main direction histogram of each Block is calculated, and by adopting a spatial pool division manner of the ring-shaped sectors, the obtained local feature has an excellent differentiation ability and anti-rotation conversion ability.

The invention provides a gene pool containing rbcL gene sequence fragments of labiate Isodon serra(Maxim.)Kudo and Rabdosia lophanthoides (Buch.-Ham. ex D. Don) Hara var. graciliflora (Benth.) Hara. The invention also provides a method for identifying plant species of the labiate Isodon serra(Maxim.)Kudo and Rabdosia lophanthoides (Buch.-Ham. ex D. Don) Hara var. graciliflora (Benth.) Hara. The method comprises the step of comparing a rbcL gene or its sequence fragment of a plant sample, plant species of which is to be identified, to the gene pool provided by the invention. The invention also provides an application of the rbcL gene or its sequence fragment in identifying the labiate Rabdosia lophanthoides (Buch.-Ham. ex D. Don) Hara var. graciliflora (Benth.) Hara and the labiate Isodon serra(Maxim.)Kudo. It proves that the rbcL sequence is general, is easy to amplify and compare, and has good amplification and identification effects on the labiate Rabdosia lophanthoides (Buch.-Ham. ex D. Don) Hara var. graciliflora (Benth.) Hara and the labiate Isodon serra(Maxim.)Kudo.