18results about How to "Improve identification accuracy" patented technology

The invention belongs to the technical field of biology and environment, and provides an accurate blue-green algae identification method based on an environment DNA (Deoxyribose Nucleic Acid) technology, which comprises the following steps: S1, taking PCbetaF and PCalphaR454 as upstream and downstream primers of a CPC-IGS gene respectively; s2, then establishing a PCR reaction system, wherein the PCR reaction system comprises 5-20 [mu] L of Takara Premix Taq enzyme, 0.25 [mu] M of upstream and downstream primers and 10 ng of microbial DNA; s3, then executing a PCR (Polymerase Chain Reaction) program; according to the accurate blue-green algae identification method based on the environmental DNA technology, by optimizing primer design, PCR amplification conditions and a high-throughput sequencing strategy and combining a biological information analysis method, the accuracy and resolution of blue-green algae species identification are remarkably improved, and powerful technical support is provided for environmental monitoring, ecological protection and blue-green algae resource development and utilization.

This invention relates to a rapid identification method Lactobacillus plantarum The method for identifying strains, belonging to the field of species and strain identification, is based on the differences in three DNA barcode sequences. Lactobacillus plantarum CGMCC NO: 26171 strain from Lactobacillusplantarum This method allows for rapid identification from other strains of the same species. Compared to traditional morphological identification methods, the standard gene sequence obtained is beneficial for the molecular identification of *Lactobacillus plantarum* strains, effectively shortening the identification time. Three pairs of DNA barcoding primers enable specific amplification of the test strain, allowing for rapid identification. Lactobacillus plantarum strains.

The invention relates to a protein variant compound analysis technology based on a short-range labeling-controllable release technology and a'top-down 'mass spectrum strategy, and designs a short-range labeling probe containing a controllable breaking group and an enriching group to specifically label a target protein variant compound; then enriching on the material by utilizing an enriching group in the probe; releasing a compound enriched on the material by utilizing a controllable fracture group in the probe; furthermore, the target protein variants and the interacting protein variants thereof are accurately identified through a'top-to-bottom 'strategy. According to the invention, the information of the target protein variant and the interacting protein variant thereof can be obtained, and the precise identification of the compound is realized from the protein variant level.

The utility model relates to the technical field of coin identification, in particular to a coin identification instrument capable of generating an identification report, which comprises an identification box, a coin slot is arranged at the top end of the identification box, a weighing hole communicated with the coin slot is arranged in the identification box, and a display screen is arranged at the front end of the identification box. According to the utility model, coins can be conveyed through the first electric telescopic rod and the conveying belt, the scanned coins can move into the inclined groove along the conveying belt and further fall into the blanking box through the inclined groove, so that the coins can be automatically moved to corresponding detection positions; according to the coin identification device, the energy and time consumed by a worker for transferring coins can be reduced, the identification efficiency can be improved, a first gear at the output end of a second motor can drive a second gear to rotate, the coins on a clamping table can be turned over below a supporting table, the thickness of the coins can be conveniently measured, meanwhile, other faces of the coins can be conveniently scanned, and the identification efficiency is improved. And the identification precision can be improved.

The invention relates to the technical field of composite material detection, in particular to a composite material structure surface defect detection method. The rapid composite material structure surface defect detection method is obtained by adopting a hyperspectral imaging technology, so that the data acquisition and processing speed is high, and the identification precision is high. According to the method, the position and the type of the surface defect of the defective composite can be quickly and accurately detected, and the defect can be classified and judged on the basis, so that the influence of human subjective factors on defect judgment is greatly reduced, meanwhile, the data of the defect position can be directly obtained, secondary metering work is not needed, and the working efficiency is improved. According to the invention, the image dimension and the spectrum dimension of the hyperspectral imaging system are simultaneously utilized to detect the fabric defects, so that the result is more intuitive and accurate.

The invention provides a method and system for determining the influence range of welding heat on low-temperature primer heat resistance. The method comprises the steps that a simulated welding seam is built according to an actual welding structure; arranging n reference lines which are parallel to the simulated welding seam and are arranged at equal intervals on the surface of the plate; setting a temperature measuring point on each datum line; carrying out segmented welding on the welding seam according to a preset unit welding segment length, and recording the temperature value of the temperature measuring point; and determining a preselection result of the boundary line of the heat resistance influence range based on the temperature values of the temperature measurement points. According to the technical scheme, the datum lines and the temperature measuring points are arranged around the weld joint, the temperature is accurately measured, the influence range of the welding heat on the heat resistance of the low-temperature primer is determined, unnecessary grinding and repairing are reduced, resources are saved, and the construction efficiency is improved.

The invention discloses a molecular marker for identifying Eurasian and interspecific hybrid grapes thereof and application of the molecular marker, and belongs to the technical field of biological breeding. According to the invention, through whole genome re-sequencing data analysis, a significant InDel site IH1 is identified, and the significant InDel site IH1 is located at 7bp, 224bp and 357bp of a grape No.13 chromosome. The locus shows a significant genotype difference between the Eurasian grape and the interspecific hybrid thereof. Through the number and distribution difference of the electrophoretic bands, the Eurasian grape and the interspecific hybrid thereof can be visually and accurately distinguished. Based on the characteristics of the molecular marker, the molecular marker can be used for rapidly screening interspecific filial generation strains in the early stage of breeding and removing selfing offspring. Meanwhile, the genetic background of the seedlings can be rapidly screened, the accuracy of the seedlings is guaranteed, and the method plays an important role in early screening of breeding offspring and screening of the genetic background of the seedlings.

The invention relates to a part identification method and device, computer equipment, a storage medium and a program product. The method comprises the following steps: acquiring a first image comprising a to-be-identified part; inputting the first image into a first neural network to obtain the position of the to-be-identified part in the first image; segmenting the image according to the position of the to-be-identified part in the first image to obtain a second image including the to-be-identified part; inputting the second image into a second neural network to obtain a preliminarily identified part number; according to the preliminarily identified part number, judging whether the to-be-identified part has a similar part, and if the to-be-identified part has the similar part, inputting the second image into a third neural network to obtain a finally identified part number; and if the similar part does not exist, taking the preliminarily identified part number as the finally identified part number. Therefore, by adopting a multi-neural network collaborative identification strategy, the identification capability of small targets is enhanced, and the identification accuracy of similar parts is also remarkably improved.

This invention relates to the field of spectral analysis and identification of genuine and counterfeit Chinese medicinal materials, and discloses a method for identifying counterfeit Cordyceps sinensis based on multispectral fusion. This method first collects multispectral image data of samples under standard conditions; eliminates equipment and environmental noise through standardized preprocessing to establish a reliable data foundation; then, it fuses extracted spectral derivative features and spatial texture features to construct a lightweight neural network identification model. Its core innovation lies in introducing a physical interference stripping model, which can actively correct spectral distortion caused by moisture and mold, obtaining intrinsic spectra to improve model robustness; and through dynamic verification and incremental learning mechanisms, the model can continuously evolve, effectively identifying new counterfeiting methods. Finally, the entire model is integrated into a multispectral portable terminal, achieving rapid screening within seconds and outputting a complete report including authenticity determination, type inference, and confidence level. Ultimately, this solves the industry problems of low efficiency, reliance on experience, and inability to be applied on-site by traditional methods.

The invention discloses a molecular identification method for homologous, near-source and hybrid species of leiocassis longirostris, and belongs to the technical field of fish genetic breeding. The method comprises the following steps: carrying out sequence comparison by virtue of 15 mitochondrial gene complete sequences of a plurality of existing species in a GenBank database, and calculating a similarity percentage index and a sorting index of a gene corresponding to a to-be-detected species in comparison of the plurality of species; finally, the method can accurately judge whether the to-be-detected fish belongs to a plurality of possible species such as homologous species, close species and related hybridized species of the leiocassis longirostris at one time, and a basic identification method is provided for actual production of genetic breeding and cultivation of the homologous species, the close species and the related hybridized species of the leiocassis longirostris.

The application provides a face recognition system and method based on AI technology, and belongs to the field of image recognition.The system is suitable for security monitoring of smart communities or smart villages, and effectively improves the implementation efficiency and accuracy of security protection by realizing accurate face recognition and behavior analysis.The system mainly utilizes an incremental convolutional neural network and a sparse autoencoder.The whole system has the characteristics of stability, rapidity and accuracy, and can be widely used in the fields of security monitoring of smart communities and smart villages.The application solves some main problems in the application of face recognition technology, and provides a new method for effectively training on large-scale and dynamic data sets.

The present invention relates to a ceramic identification method based on the Internet of Things, including: collecting images of the surface of ceramic products; determining the material, shape and size of the ceramics, and preliminarily determining the age and origin of the ceramics; selecting corresponding feature points to collect coordinates to collect the surface texture of the ceramics; retrieving corresponding texture features from the cloud Internet of Things to determine the authenticity of the ceramics; detecting cracks on the surface of the ceramics and determining the etching time of the cracks; and generating an identification report. The present invention connects an identifier to the Internet of Things. After the identifier has detected the material crystal phase of the ceramic product to be identified, the identifier can directly retrieve from the cloud Internet of Things to quickly determine the origin and age of the ceramic product to be identified. By determining the origin and age of the ceramic product to be identified, it can be used as a reference in subsequent identification, thereby improving the identification accuracy of the identifier and improving the identification efficiency of the method.

This invention discloses a TaqMan real-time fluorescent PCR detection primer and probe set, kit, and detection method for Cuscuta pentaphyllum. The primer and probe set includes: an upstream primer C. pan F, whose nucleotide sequence is shown in SEQ ID NO.1; a downstream primer C. pan R, whose nucleotide sequence is shown in SEQ ID NO.2; and a TaqMan probe C. pan P, whose nucleotide sequence is shown in SEQ ID NO.3. The primers and probe target specific fragments of the rbcL gene sequence of Cuscuta pentaphyllum, achieving specific recognition of Cuscuta pentaphyllum through sequence complementarity matching. This avoids false positive results caused by cross-reactions with closely related species and host plants at the molecular targeting level, effectively solving the problem of difficulty in distinguishing closely related species in traditional morphological identification. Compared with traditional morphological identification and conventional PCR, this invention also features high detection efficiency, short processing time, simple operation, and wide applicability. It is suitable for precise identification in professional laboratories and can also meet the practical applications in grassroots quarantine and field monitoring scenarios.

The invention discloses antibacterial protein secreted by a lactic acid tablet and a separation and identification method of the antibacterial protein. The preparation method of the lactic acid tablet specifically comprises the following steps: preparing fermentation supernate of pediococcus acidilactici YH-15; comprising the following steps: preparing a whey culture medium, inoculating and culturing YH-15, and preparing and storing fermentation supernatant. Carrying out separation and purification and characterization detection on the bacteriocin-like substance; comprising the steps of salting-out of saturated ammonium sulfate protein, purification of protein through hydrophobic column chromatography, dialysis and freeze-drying, and relates to the technical field of protein spectrum identification, according to the antibacterial protein secreted by the lactic acid tablet and the separation and identification method thereof, a protein sample is subjected to enzymolysis through an FASP enzymolysis method, and after reduction and alkylation centrifugal treatment is conducted by adding a reagent, the protein sample is subjected to freeze-drying; ammonium bicarbonate and pancreatin are used for enzymolysis, peptide fragments after enzymolysis are collected in a centrifugal mode, high-quality peptide fragment raw materials are provided for identification of the protein spectrum, impurity dry burning is reduced, and meanwhile the identification precision of the protein spectrum of a protein sample is effectively improved.

The application discloses a probe primer group, a kit and a detection method for detecting European dodder, wherein the probe primer group comprises an upstream primer Ce-rbcL-F, a downstream primer Ce-rbcL-R and a TaqMan probe Ce-rbcL-P; the nucleotide sequence of the upstream primer Ce-rbcL-F is shown as SEQ ID NO. 1; the nucleotide sequence of the downstream primer Ce-rbcL-R is shown as SEQ ID NO. 2; and the nucleotide sequence of the TaqMan probe Ce-rbcL-P is shown as SEQ ID NO. 3. The primer probe group is designed based on a specific region of the rbcL gene of European dodder, and specific identification of European dodder can be realized by combining an optimized real-time fluorescent PCR reaction system and conditions, namely, the application has the characteristics of rapidness, strong specificity, high identification accuracy, effectively solves the problem that near relatives are difficult to distinguish in traditional morphological identification, and avoids false positive misjudgment. Compared with traditional morphological identification and conventional PCR, the application also has the characteristics of high detection efficiency, short time consumption, simple operation and wide applicability, and can be applied to not only professional laboratory accurate identification, but also practical application of scenarios such as primary quarantine and field monitoring.

The present invention provides a multi-tag spatial fusion identity recognition method, system, medium and terminal, which obtains original phase data through an RFID tag array and a reader / writer deployed in a traffic area; pre-processes the original phase data and extracts walking-related data of an object to be identified; obtains sample data of a sample object, and evaluates the distinguishing ability and anti-interference ability of each tag in the tag array in combination with the walking-related data of the object to be identified, so as to obtain the distinguishing ability value and anti-interference ability value of each tag; based on the distinguishing ability value and anti-interference ability value, a multi-dimensional weighted dynamic time warping algorithm is used to evaluate the similarity between the walking-related data of the object to be identified and the sample data, so as to obtain the identity information of the object to be identified. The present invention realizes accurate identification of a person's identity when gait factors are inconsistent, maximizes the advantages of the spatial diversity of the tag array, and has good recognition accuracy and robustness.

The invention discloses an automatic fritillaria identification system and method based on hierarchical deep learning, and relates to the technical field of intelligent detection of traditional Chinese medicinal materials. The system comprises a hardware integration and image acquisition module, an image processing and target positioning module and a grading identification algorithm module. Wherein ConvNeXt-is adopted for the category pairs of the Songbei and the Pingbei, which are relatively low in similarity; carrying out classification and identification through a Tiny network; the method comprises the following steps of: performing classification identification by adopting a double-branch ConvNeXt model aiming at furnace shell and illite type pairs with relatively high similarity, respectively extracting local microscopic texture and overall macroscopic morphological characteristics by adopting texture branches and morphological branches which are constructed in parallel, and performing optimization by adopting a joint loss function fusing tuple marginal penalty terms so as to enhance the inter-class discrimination capability. According to the invention, full-process automation from sample feeding to identification result output is realized, the identification precision is high, the speed is high, and the method is suitable for rapid nondestructive batch detection in the circulation link of traditional Chinese medicinal materials.

A power supply system identification method and system, an electronic device, a multi-current system rail vehicle, and a computer-readable storage medium. The power supply system identification method comprises: acquiring a network voltage signal according to an acquisition period (S101); identifying a network voltage mode according to instantaneous values of network voltage signals of a plurality of acquisition periods within a preset time period, the network voltage mode being an alternating current mode or a direct current mode (S 102); if the network voltage mode is a direct current mode, determining the current direct current power supply system according to the instantaneous values of the network voltage signals within the preset time period (S103); and if the network voltage mode is an alternating current mode, determining the current alternating current power supply system according to the instantaneous values and frequencies of the network voltage signals within the preset time period (104). The method identifies a power supply system by means of an existing network voltage detection device of a multi-current system rail transit vehicle, without adding an external device, thereby reducing cost and improving the accuracy of identification.