44results about How to "Improve analysis rate" patented technology

The invention provides a user information identification and classification method based on an internet application and a system thereof, and aims at compensating limitation of conventional data collection and identification modes. The user information identification and classification method based on the internet application comprises the steps that S1 use information of an application user is acquired; S2 real-time data analysis is performed; S3 offline storage is performed; S4 offline data analysis is performed; and S5 the analysis results are summarized. The method has extremely high compatibility, can realize real-time data collection and has great stability; storage pressure is low and rate of data analysis is high; and the data are stored by adopting an offline mode so that the data are ensured to be complete and errorless and historical data are ensured not to lose. The user information identification and classification system based on the internet application comprises a data collection module, a log analysis module, a storage module, an offline analysis module and a model database. The system has high precision, flexibility and stability and adopts two-stage analysis modes of real-time analysis and offline analysis so that computation pressure of the system can be reduced.

The invention discloses a method for detecting glycoprotein by molecularly imprinted microspheres based on a boric acid fluorescence probe. The method comprises the following steps: with monodisperse poly(glycidylmethacrylate-co-ethylenedimethacrylate) microspheres as a carrier, grafting the boric acid fluorescence probe on the surface of the carrier; with the boric acid fluorescence probe as a functional monomer, and appointed glycoprotein as a template molecule, polymerizing the template molecule with the functional monomer to form a stable prepolymer; and preparing the appointed glycoprotein molecularly imprinted microspheres by adopting a surface imprint technology. The molecularly imprinted microspheres have selective recognition performance on the appointed glycoprotein, are capable of directly detecting the glycoprotein by adopting a fluorescence method, and are relatively simple to operate, and relatively high in detection speed in comparison with traditional mass-spectrography or chromatography detection.

The invention relates to a user data processing method based on big data and business analysis and a big data platform. The method comprises the following steps: before user portrait analysis, determining a user data analysis strategy based on a service data analysis instruction, and then determining a service interaction object and service interaction type data related to a service interaction time period, and determining the user data acquisition strategy. The big data platform can carry out targeted collection on the user data of the user service terminal based on the user data collection strategy, so that some useless data is filtered out, in this way, when user portrait analysis is carried out, the to-be-processed user data with data analysis and mining value can be directly analyzed,and the user experience is improved. The analysis rate of the user portrait can be improved, and the analysis precision of the user portrait can be improved, so that the processing efficiency of theuser data is improved. According to the method, a user data analysis strategy and a user data acquisition strategy can be combined, so that the intelligent degree of user portrait analysis is improved.

The present invention relates to a method for measuring dissolved methane in seawater, the method comprising the steps of: a) injecting a sample into a vacuum container into which a cadmium chloride solution has been injected, followed by refrigeration; b) vibrating the container, followed by temperature equilibration with the periphery; c) passing the sample in the container through a methane separator to separate dissolved methane and residues; and d) analyzing the separated dissolved methane using a mass spectrometer. The measuring method according to the present invention has advantages of maximally raising the recovery rate of dissolved methane to increase the ratio of analysis and being able to analyze even a small amount of samples. Furthermore, in the measuring method according to the present invention, in addition to the dissolved methane measurement, sulfur isotope analysis can be also simultaneously conducted using the sample from which the dissolved methane has been extracted.

The invention provides a skull slicing method which comprises the following steps: establishing a six-view datum plane of a skull three-dimensional model, limiting the range of a horizontal plane slice by using an upper-view datum plane and a lower-view datum plane, limiting the range of a sagittal plane slice by using a left-view datum plane and a right-view datum plane, and limiting the range ofa coronal plane slice by using a front-view datum plane and a rear-view datum plane, so that generation of a large number of empty slices is effectively avoided, so that the analysis rate of slice data is increased.

Applicant's teachings relate to apparatuses and methods of cleaning laser optical components, particularly in, for example, but not limited to, high throughput matrix-assisted laser desorption ionization (MALDI) applications. In accordance with various embodiments of applicant's teachings, the optical component is heated.

The invention discloses an instance processing method and device, and the method comprises the steps: obtaining the diagnosis data of an instance, and enabling the diagnosis data to comprise the diagnosis results of the instance at a plurality of diagnosis time points corresponding to a diagnosis rule; and inputting the diagnosis data into a trained instance anomaly detection component, and obtaining diagnosis information about whether an instance is abnormal or not, the instance anomaly detection component being a neural network model component modeled and processed by using time sequence information. By adopting the method and the device, automatic diagnosis of the instance can be realized.

The invention relates to the field of fluorescence sensing concentration monitoring, in particular to a floating algae concentration monitor based on a fluorescence sensing technology, which comprises a monitoring processor, a fixing structure is arranged on the outer side of the monitoring processor, the fixing structure comprises a bottom plate, and a vertical frame is fixedly connected to the rear side of the top end of the bottom plate. The top end of the monitoring processor is slidably connected with a pressing plate, the rear end of the pressing plate is fixedly connected with a first threaded shaft, and the first threaded shaft is slidably connected with the vertical frame. According to the invention, through the arrangement of the monitoring processor, the first transmission line, the relay processor and the second transmission line, when a large number of floating algae environments need to be monitored, a worker connects the first transmission line to the monitoring processor and the relay processor, and connects the second transmission line between the relay processor and a notebook computer, and the monitoring processor is matched with the relay processor to analyze signals transmitted by monitoring, so that the concentration analysis rate of the algae environment is increased, and the monitoring precision is improved.

The invention discloses a method for detecting phenolic compounds in fish, and belongs to the technical field of aquatic product pollution detection. According to the method for detecting phenolic compounds in fish of the invention, an improved QuEChERS method is adopted to extract, enrich and purify a plurality of phenolic compounds in fish; a gas chromatography tandem mass spectrometry method is adopted to qualitatively and quantitatively determine the phenolic compounds in the fish, so that a high-efficiency detection method capable of simultaneously detecting 18 phenolic compounds is established. A method which does not need derivation and can simultaneously and accurately detect a plurality of different phenolic compounds, especially alkylphenol and bromophenol compounds, in fish is developed. With the method disclosed by the invention adopted, 18 phenolic compounds can be simultaneously detected, the average adding standard recovery rate is 81.3%-115.7%, the relative standard deviation is 1.1%-11.3%, and the detection limit is 0.002-0.01 mg/kg.