14results about How to "Realize authentication" patented technology

The invention discloses an intelligent regulation and control task chain generation method and apparatus, an electronic device and a medium. The method comprises the steps of obtaining content texts of multiple types of regulation and control security regulations and regulation and control operations; inputting the content text into a large language model agent for content extraction so as to extract regulation and control operation sequences and calling contents under various conditions; intelligently generating a knowledge graph in a decision tree form in the knowledge graph through an intelligent agent according to the regulation and control operation sequence and the calling content under various conditions; acquiring a text instruction, performing intention recognition by an intelligent agent, intelligently generating a task chain for regulating and controlling operation logic in the generated knowledge graph after autonomous understanding, and autonomously generating a thinking chain for task execution; and according to the generated thinking chain, the intelligent agent intelligently calls related modules for regulation and control so as to realize intelligent regulation and control. According to the method, the quality and efficiency of obtaining the text information can be improved, the regulation and control thinking chain logic architecture is established by using the decision tree type knowledge graph, the accuracy is improved, and the use threshold of operation is reduced.

The invention provides a construction method of fingerprint spectrums of katsumadai medicinal material, standard decoction and formula granules thereof, which comprises the following steps: preparing a mixed reference solution from alpinetin, pinocembrin, cardamonin and alnudinone; preparing a test solution from the alpinia katsumadai medicinal material, the standard decoction or the formula granules; respectively detecting the reference solution and the test solution by adopting a high performance liquid chromatography, and constructing fingerprints of the alpinia katsumadai medicinal material, the standard decoction and the formula granules of the alpinia katsumadai medicinal material; wherein the conditions of the high performance liquid chromatography are as follows: a mixed solution of acetonitrile and methanol is taken as a mobile phase A, a phosphoric acid aqueous solution with the volume concentration of 0.08%-0.12% is taken as a mobile phase B, and a gradient elution procedure is adopted. The method has the advantages of being simple, stable and high in specificity, and a comprehensive, effective and rapid evaluation method is provided for quality control of alpinia katsumadai medicinal materials, standard decoction and formula granules of the alpinia katsumadai medicinal materials.

The invention relates to the technical field of traditional Chinese medicine detection, in particular to a UPLC-Q / TOF-MS identification method for pinellia ternate and rhizoma typhonii flagelliformis. According to the method, on the basis of pinellia ternate, ginger processed pinellia, rhizoma typhonii flagelliformis and ginger processed rhizoma typhonii flagelliformis component information collected by ultra-high performance liquid chromatography-quadrupole time-of-flight mass spectrometry, characteristic substances are screened in combination with a multivariate statistics method, OPLS-DA analysis is carried out on pinellia ternate and rhizoma typhonii flagelliformis, differential compounds of the pinellia ternate and the rhizoma typhonii flagelliformis are found, and The method comprises the following steps: determining five key compounds for identifying pinellia ternate, rhizoma typhonii flagelliformis and processed products thereof by combining a plurality of analysis methods such as box plot analysis, thermogram analysis and correlation analysis, then determining the relative content of the five key compounds, and establishing a pinellia ternate and rhizoma typhonii flagelliformis identification model by utilizing OPLS-DA analysis. The detection of rhizoma typhonii flagelliformis doped in the rhizoma pinelliae and processed products thereof can be realized.

The invention relates to the technical field of quality control of traditional Chinese medicines, in particular to a thin-layer chromatography identification method for 8 medicines in 11 medicines in the whole formula of Qingjin phlegm-reducing decoction. The core of the method is that three different test solutions are adopted to realize the identification of eight medicines, namely scutellaria baicalensis, rhizoma anemarrhenae, exocarpium citri rubrum, fructus gardeniae, liquorice, thunberg fritillary bulb, platycodon grandiflorum and radix ophiopogonis. Wherein the first test solution is prepared by extracting water-saturated n-butyl alcohol, and can be simultaneously used for identifying scutellaria baicalensis, rhizoma anemarrhenae, exocarpium citri rubrum, fructus gardeniae and liquorice; the second solution is subjected to ammoniation and dichloromethane extraction to be used for thunberg fritillary bulb identification; the third solution is extracted by dichloromethane after being hydrolyzed by hydrochloric acid, and platycodon grandiflorum and radix ophiopogonis can be identified at the same time. According to the method, by optimizing a test sample preparation and development system, sharing of test samples of multiple medicines and synchronous identification are achieved, the detection efficiency is remarkably improved, the method has the advantages of being easy and convenient to operate, clear in spot, good in separation degree, high in specificity, negative, free of interference and the like, and a reliable basis is provided for quality control of the Qingjin phlegm reducing decoction.

The present application belongs to the technical field of origin traceability of Hong Kong oysters in China, and discloses a method for origin traceability of Hong Kong oysters in China based on metabolites and mineral elements. The method uses a combination of eight hepatopancreas tissue metabolic markers and two mineral elements, extracts metabolites in the hepatopancreas tissue of Hong Kong oysters in China by using a mixture of methanol and water, detects by using nuclear magnetic resonance technology, and establishes a database containing metabolic fingerprint maps of Hong Kong oysters in China with different geographical origins. The method also includes using inductively coupled plasma tandem mass spectrometry to determine the content of trace mineral elements in the hepatopancreas tissue of Hong Kong oysters in China with different geographical origins. Finally, by combining metabolite and mineral element data and applying machine learning analysis methods, a highly efficient identification model of Hong Kong oysters in China with different geographical origins is successfully constructed. The model has strong operability, simple construction method, high sensitivity and good specificity, and can effectively realize the geographical origin identification of Hong Kong oyster samples in China.

The embodiment of the application provides a drug component identification method and related equipment, and belongs to the technical field of drug identification. The method comprises the following steps: obtaining preset drug sample data, including positive drug sample data and negative drug sample data, wherein the positive drug sample data comprises a first thin layer chromatogram, and the negative drug sample data comprises a second thin layer chromatogram; constructing a model training atlas set through the first thin layer chromatogram, so as to train a preset twin neural network model, and obtain a first twin neural network model; constructing a model test atlas set through the first thin layer chromatogram and the second thin layer chromatogram, so as to optimize parameters of the model in combination with the model training atlas set, and obtain a target neural network model; and inputting a to-be-identified thin layer chromatogram into the target neural network model for component identification analysis, and obtaining a component identification result. The embodiment of the application can try not to use control samples and control medicinal materials in drug identification, so that the economic, green and environmentally-friendly purposes are achieved.

The application provides a kind of Fuling drink piece, fried Fuling drink piece and the construction method and application of its preparation characteristic map, the construction method of fried Fuling and its preparation characteristic map, comprising: preparing test sample solution;Using high performance liquid chromatography to detect test sample solution, chromatographic conditions include with octadecylsilane bonded silica as filler, with methanol as mobile phase A, with 0.08%-0.4% formic acid as mobile phase B, and using specific elution procedure, while shortening the detection time also significantly improves the separation effect of multiple effective components, so that the characteristic map contains more characteristic peaks, greatly enriches the atlas information, realizes the effective separation of characteristic peaks such as uridine, thymine, gallic acid and guanosine, the characteristic of the obtained characteristic map is obvious, fully reflects the integrity and characteristic of the drug preparation of fried Fuling, and the baseline is stable, the peak shape is good, which provides basis for comprehensively detecting the quality of Fuling drink piece, fried Fuling and its pharmaceutical preparations.

The embodiment of the invention provides an authentication method and device in a video conference, and the method comprises the steps: obtaining the multi-dimensional feature information of a target video conference terminal in response to a function request of starting a virtual portrait at the target video conference terminal; respectively verifying the multi-dimensional feature information to obtain a multi-dimensional verification result; and according to the multi-dimensional verification result, generating a comprehensive authentication result of using the virtual portrait by the target video conference end, the comprehensive authentication result being used for representing whether the target video conference end has the authority to use the virtual portrait. According to the embodiment of the invention, the authentication of the virtual portrait function in the video conference is realized, and the security of the video conference is improved through the multi-dimensional authentication of the virtual portrait function.

The invention discloses a data acquisition and storage, modeling development and sharing service method and system covering IT and OT scenes, and the method comprises the steps: data collection: carrying out the data collection of IT data and OT data according to three data types: structured data, measurement data and unstructured data; data storage and modeling are carried out, data storage and modeling are carried out based on three characteristics of a total data base, a distributed framework and a hierarchical data model, and a data lake and data warehouse integrated structure MRS is built based on a storage assembly and a calculation engine in a distributed system infrastructure; data development: performing data development on different types of data through batch processing and stream processing; data sharing: respectively designing data sharing technical schemes according to two scenes of non-real-time data sharing and real-time data sharing; unified storage of IT and OT data can be realized, an integrated data lake and an integrated data warehouse are built, and a foundation is laid for fusion application of the two types of data.

The invention provides a logic circuit chip, which comprises a chip main body, and further comprises a magnetoresistive sensor which is packaged in the chip main body and is used for generating a first level signal according to the position of a magnetic object; the position identification and locking module is connected with the magnetoresistive sensor and is used for receiving the first level signal of the magnetoresistive sensor and a second level signal input from the outside and generating a display signal according to the first level signal and the second level signal; and the display driving module is connected with the position identifying and locking module and is used for outputting, driving and displaying according to the display signal. The magnetoresistive sensor, the position identifying and locking module and the display driving module are integrated on one chip, signals are identified through a special logic circuit, output driving display is carried out through the display driving module, and the functions are achieved instead of needing a plurality of discrete components.

This application relates to the field of otolaryngology technology, specifically a method and system for predicting the risk of papillary thyroid carcinoma. By combining multiple sets of clinical indicators and multiple imaging feature data, this application can effectively assess and predict the risk of papillary thyroid carcinoma. The scoring data provides a more intuitive determination of the severity of papillary thyroid carcinoma, thereby enabling the differentiation between atypical subacute thyroiditis and papillary thyroid carcinoma. Compared to existing technologies, the discrimination results of the embodiments in this application are more accurate.

The invention relates to the technical field of forensic scientific detection, in particular to a feeding bottle material identification and brand tracing method. The concentration of the VOCs in the baby feeding bottle is low, and the HS-GC-IMS is used for capturing and analyzing the residual trace VOCs in the sample, so that the detection sensitivity is improved; hierarchical modeling methods of chemometrics and machine learning show strong ability in the aspects of processing high-dimensional chemical data sets and identifying complex modes. According to the method disclosed by the invention, the volatile components in the baby feeding bottle are detected and analyzed by adopting a chemometrics and machine learning assisted HS-GC-IMS method for the first time, and a rapid and accurate detection method is established, so that the identification and traceability of the material and brand of the feeding bottle are realized.

The present disclosure relates to the field of biotechnology, and in particular, to a nucleic acid reagent, a kit and a detection method for detecting poison hemlock. The nucleic acid reagent is designed for the ITS1 gene of poison hemlock, and includes the primers shown in SEQ ID NO.1‑2 and the probe shown in SEQ ID NO.3. The nucleic acid reagent, the kit or the method provided by the present disclosure can quickly and accurately detect or identify poison hemlock in a sample to be tested, with good sensitivity and specificity.

The invention provides a thin-layer chromatography identification method of Hexishi chrysanthemum. The identification method comprises the following steps: S1, preparing a test solution: extracting a Hexishi chrysanthemum sample to obtain the Hexishi chrysanthemum test solution; s2, preparing reference substance solutions: respectively preparing the reference substance solutions from aesculin, aesculetin, apigenin and luteolin; s3, detection: carrying out thin-layer chromatography detection on the Hexishi chrysanthemum test solution and the reference substance solution, carrying out sample application on a thin-layer plate, carrying out expansion, and carrying out inspection under ultraviolet light; and S4, result judgment: displaying the same spots at the positions corresponding to the reference substance solution in the chromatogram of the test substance on the thin-layer plate. The method can solve the problem of lack of identification methods for Hexishi chrysanthemum in the prior art, and is suitable for the technical field of traditional Chinese medicinal material identification.