35results about How to "Reduce analysis time" patented technology

The invention discloses a domain name resolution method, a domain name system (DNS) server and a domain name resolution system. The domain name resolution method mainly comprises the following steps of receiving a domain name resolution request from a client; determining a forwarding DNS server to which the domain name resolution request belongs when no domain name resolution response corresponding to a domain name is cached in local; transmitting the domain name resolution request to a determined forwarding DNS server; and receiving the domain name resolution response obtained after the forwarding DNS server carries out the domain name resolution operation for the domain name information, and transmitting the domain name resolution response to the client. Since different domain name resolution requests are allocated to the forwarding DNS server to which the domain name resolution request belongs, and each forwarding DNS server targets the own domain name resolution request to carry out the domain name resolution, so that the restriction condition among different internet service providers (ISP) can be avoided, the domain name resolution speed is accelerated, the domain name resolution time is shorter, and the resolution efficiency is increased.

A fluid pumping system can be operated in dual control modes: as a syringe pump for nano-flow solvent delivery; and as a reciprocating pump for micro- and analytical flow solvent delivery. The fluid pumping system is also operated in a closed-loop digital control process using an optical encoder for piston refill stroke begin and end synchronization with a switching valve On and Off. A multidimensional apparatus and procedure using up to 8 of the invented fluid pumps for a fully automated procedure such as ICA™ chemistry for cellular protein separation, identification and quantification.

The invention discloses a video code stream analysis method, electronic equipment and a readable storage medium, and the method comprises the steps: obtaining a to-be-processed video code stream; dividing to obtain a plurality of pieces of video code stream information based on the to-be-processed video code stream, wherein the video code stream information is used for dividing the to-be-processedvideo code stream into a plurality of video code stream segments; assigning the plurality of pieces of video code stream information to a plurality of analyzers, wherein each analysis party is used for carrying out target detection analysis on video code stream fragments in the to-be-processed video code stream based on the video code stream information so as to obtain an analysis result corresponding to the video code stream fragments; receiving the analysis result fed back by the analyzer; and based on the video code stream information, splicing analysis results fed back by the analyzers toobtain an analysis result of the to-be-processed video code stream. The video code stream to be processed is divided into the plurality of video code stream segments, and then the plurality of videocode stream segments are assigned to the plurality of analyzers, so that the time consumed for analyzing the video code stream is reduced.

This device comprises a pulsed laser source (6), means (8, 10, 12) for focusing light from this source onto an object to be analysed (2) to produce plasma on the surface of the object, means (16, 18) of analysing a plasma radiation spectrum, means (20) of determining the elementary composition of the object from this analysis, and possibly means (4) for displacing the object. The invention is particularly applicable to test radioactive materials.

The invention discloses a local sensitive program analysis method based on an abstract syntax tree and theorem proof. The local sensitive program analysis method comprises the steps of constructing the abstract syntax tree AST without syntax errors for program codes; traversing an abstract syntax tree AST of the program code, collecting a to-be-detected node and related nodes of the to-be-detectednode, forming a related logic expression of the to-be-detected node according to the to-be-detected node and related node information, and inputting the related logic expression into a theorem prover; and the theorem prover solves the to-be-detected node through the logic expression, and if an abnormal condition exists in the solved to-be-detected node value, judging that the program has a semantic defect. According to the method, by collecting the local context and the local path information of the program node, some wrong alarms are avoided, the usability is improved, semantic defect detection of the program code is achieved, and the problem that a traditional symbolic execution tool is long in time consumption for analyzing the code due to path explosion is solved.

A method and a computer program product for a circuit analysis and a circuit simulation device, capable of increasing an analysis speed for circuit analysis, the circuit simulation device includes a circuit matrix generation unit for generating a coefficient matrix based on netlist information corresponding to a circuit to be analyzed, a fill-in parameter counting unit for acquiring a fill-in parameter for the coefficient matrix, an analysis selection unit for selecting either of the direct method or the iterative method as a solution-producing method for the coefficient matrix based on the fill-in parameter, a matrix size of the coefficient matrix and number of non-zero elements of the coefficient matrix and analyzing units for producing a solution of the coefficient matrix as an analysis result of the circuit by a selected one of the direct method and the iterative method.

The invention relates to a large-size irregular sample surface scanning area identification and scanning path determination method, which comprises the steps of setting a scanning device, processing the surface of a to-be-detected sample, obtaining an image of the to-be-detected sample by adopting an image acquisition processing module, establishing a calculation model between the real object sizeand the image by using the acquired source image, achieving automatic identification of a sample contour and an external irregular or internal cavity part through construction of multiple mathematicmodels and cumulative calculation of algorithms, and directly providing an actual scannable area of a sample and a scanning path of each row or each column in combination with parameter requirements of a scanning device. According to the method, the sample can be intelligently recognized, and the method is used for analyzing the segregation degree characterization pretreatment stage of the samplewith the area larger than 100 mm*100 mm through single-spark light source scanning.

The invention provides a method for rapidly identifying shallow lake sediment pollution layering information through shallow cutting. The method comprises the following steps of: scanning by a shallow cutting device, collecting a columnar sample, analyzing the columnar sample and linear correlation, and finally drawing a contour map to obtain a sediment pollution layering result. According to the method for rapidly identifying the shallow lake sediment pollution layering information through shallow cutting, on the basis of shallow cutting scanning and columnar sample pollutant determination, linear correlation analysis of the water content and the pollutant content of the sediment in each layer is added, so that the pollution layering information of the sediment in the lake is rapidly identified through shallow cutting.

The invention discloses a fire emergency lamp intelligent monitoring, regulation and control management system based on building centralized control. The intelligent monitoring, regulation and control management system for the fire-fighting emergency lamp based on building centralized control comprises an information acquisition module, an evacuation path model construction module, an evacuation path confirmation module and a lamp regulation and control module, according to the invention, the personnel evacuation path in each personnel distribution area of the floor to be subjected to fire fighting is analyzed, and regulation and control are carried out according to the passing emergency lamp corresponding to the personnel evacuation path in each personnel distribution area, so that the problem that the existing fire fighting emergency lamp monitoring and regulation and control system is not combined with fire scene fire information is effectively solved; the problem that the potential hazard of misleading of the indicating direction easily exists is solved, the evacuation guiding effect under the condition of serious fire is greatly improved, and meanwhile the crowd evacuation efficiency and evacuation safety are effectively improved.

The invention relates to the field of artificial intelligence, and discloses a multi-label multi-example image detection method, device and equipment and a storage medium, which are used for reducingthe analysis duration of a pathological image and improving the accuracy of an analysis result. The method comprises the following steps: acquiring a pathological region of a diagnosed biopsy image and pathological feature description corresponding to the pathological region; training the offline training multi-label multi-example model according to the pathological region and the pathological feature description corresponding to the pathological region to obtain a preset multi-example multi-label model; acquiring an original biopsy image, wherein the original biopsy image is used for indicating pathological characteristics of human tissues; performing texture feature extraction on the original biopsy image, and performing structured feature expression on the extracted texture features togenerate a target image structure; calling a preset training model to identify the target graph structure to obtain a target feature vector group; and labeling the target feature vector group througha preset multi-example multi-label model to obtain a plurality of target pathological labels.

The invention discloses stopped-flow two-dimensional liquid chromatography allowing two-dimensional analysis to be simultaneously carried out and application thereof. Flow stopping of a chromatographic system is achieved in the mode that multi-way valves are used for sealing the two ends of a first-dimensional chromatographic column, the pressure maintenance effect is greatly improved, and pressure fluctuation interference is smaller; the other chromatographic column with the same pressure drop as the first-dimensional chromatographic column is adopted as a pressure balance column, so that a first-dimensional infusion pump does not stop flowing after flow stopping of the first-dimensional chromatographic column, and then a first-dimensional detector can be connected to detect outflow components of the first-dimensional chromatographic column. In addition, before sample injection of the second-dimensional liquid chromatographic column, a post-column flow divider is adopted for flow dividing, and the problem of excessive sample injection is solved.

A device for locating a noise occurring in a steering system includes: a sound receiving unit detecting noise occurring in a steering system; a processing unit inputting data on the noise in the steering system into a neural network model that performs learning in advance and locating a position or a component at which the noise occurs in the steering system, the noise being detected by the sound receiving unit; and a storage unit in which the neural network model that performs the learning in advance is stored.

Provided is a biosensing device including unit cells each including a source electrode and a drain electrode spaced apart from each other, a sensing membrane for forming a channel between the source and drain electrodes, a gate electrode spaced apart from the sensing membrane, and a dam structure surrounding at least parts of an edge of the sensing membrane and made of an insulator, wherein the dam structure is configured to contain a precursor solution to be solidified to generate the sensing membrane.

The present invention belongs to the field of metrology, and more specifically relates to a spectral basic dimension correction and differential analysis method based on a moving least squares method.The method comprises: performing basic dimension correction on the spectrum obtained from known standard substances (series) by using the moving least squares method; using the corrected spectrum toperform differential analysis, specifically: using multiple spectra obtained from known standard substances (series) to perform cycle subtraction operations to obtain the maximum safety threshold of the system; performing cycle subtraction operations of multiple spectra between the known non-standard substances (series) and the known standard substances (series) to obtain the minimum warning threshold of the system; and performing cycle subtraction operations between the unknown sample spectrum and the known standard substances (series) spectrum, and obtaining a spectrum analysis result aftercomparing the difference values with the maximum safety threshold and the minimum safety threshold.

The invention relates to the technical field of cotton metabonomics analysis, and discloses an efficient cotton metabonomics sample preparation method which is characterized by comprising the following steps: 1) taking a cotton specific tissue sample, and quickly immersing the cotton specific tissue sample in liquid nitrogen for preservation to prepare a frozen sample; according to the sample preparation and detection method disclosed by the invention, the weighing of the sample is more convenient and accurate through vacuum freeze drying, and the stability of metabolites in the sample is also ensured; formic acid is added into the extracting solution, the oxidation reaction of metabolites in the extraction reaction process is weakened by a method for reducing the pH value of the extracting solution, and the stability of the sample extraction process is further maintained; a relatively appropriate chromatographic gradient is optimized through multiple tests, and the chromatographic method can be used for compressing the time of the peak appearance stage of fewer metabolites, reducing the analysis duration, improving the separation efficiency, prolonging the peak appearance time period of more metabolites and reducing the ion inhibition effect in mass spectrometry.

The invention discloses a mineral resource exploration multi-dimensional analysis processing system based on the Internet of Things and feature recognition, and the system comprises an open-pit mine preliminary exploration module, an open-pit mine basic parameter obtaining module, an open-pit mine region division module, a region mineral depth exploration module, a mineral parameter database, an analysis cloud platform, and a background display terminal. According to the method, preliminary mineral resource exploration is carried out on a mine in an unmanned aerial vehicle prospecting mode so as to find out the geographic position of an open-pit ore deposit, region division is carried out on the open-pit ore deposit, appearance feature extraction is carried out on all ores in each divided ore deposit sub-region so as to screen out useful ores, and therefore, the distribution condition of the internal components of the screened useful ore is obtained by using an X-ray detector, so that the comprehensive storage coefficient of the mineral resources corresponding to the open-pit ore deposit is counted, the exploration efficiency is improved, a large amount of manpower exploration cost and material exploration cost are saved, and the exploration level is improved.

The invention discloses a method, a system and a device for analyzing a reason for poor network quality, and belongs to the field of mobile communication. According to the method for analyzing the reason of the poor network quality, the service cell occupied by the corresponding user is obtained according to the complaint information to serve as the complaint cell, the data source of the complaint cell is input into the analysis model to be analyzed, the poor quality reason of the complaint cell is obtained, and therefore analysis of the poor quality reason of the complaint is completed. Compared with manual troubleshooting of the reasons causing poor quality one by one in a large-scale field, the technical scheme of the invention greatly reduces the time of manual indication and analysis.

The invention discloses a data processing method and device for a locomotive. The method comprises the steps of obtaining message event data on an FIP bus of a locomotive; matching the event code with a constant fault code of the locomotive; and analyzing the message event data hit by code matching, and storing an analysis result as an event record process file. According to the embodiment of the invention, message event data on FIP bus are obtained, event codes in message event data are matched with constant fault codes, and message event data are screened, analyzed and packaged and stored as event recording process files. The locomotive quality is comprehensively monitored, and the problem of time delay in data transmission and data analysis caused by overlarge data volume is solved. Therefore, the data analysis and processing time after entering the station is saved, the stop time of the locomotive is reduced, real-time analysis and early warning on the way can be realized, and the fault state can be predicted in advance.

The invention provides a security smart card system and a password service method thereof. The system comprises an interface module, a controller and a plurality of functional modules; the interface module is electrically connected to the controller and is used for providing a sector read-write interface for the upper computer so as to realize data interaction between the upper computer and the controller; the controller is used for providing sectors with different functions so as to receive data packets with different service requirements, each sector corresponds to a specified function module, and the controller adopts the sectors with different functions to distribute the data packets with different service requirements to the specified function module, wherein the sectors with different functions are jointly appointed by the controller and the upper computer; and the plurality of functional modules comprise a security chip and a soft password module, the security chip is electrically connected to the controller and is used for providing hardware encryption and decryption services, and the soft password module is arranged in the controller and is used for providing software password services. According to the safety intelligent card system, high-speed password service is provided for the upper computer.

The embodiment of the invention provides an aircraft assembly cycle prediction method and device, terminal equipment and a storage medium. The method is used for the terminal equipment, and the method comprises the following steps: obtaining assembly process information corresponding to an assembly outline of a to-be-assembled aircraft; and inputting the assembly process information into a selected regression model for period prediction to obtain an assembly period prediction result, wherein the selected regression model is determined in a plurality of regression models, and the plurality of regression models are obtained by training a plurality of initial regression models by using a plurality of pieces of historical assembly information corresponding to assembly outlines of a plurality of assembled airplanes. The invention further discloses an aircraft assembly cycle prediction device, terminal equipment and a storage medium. According to the method provided by the invention, the time consumption of each assembly process does not need to be manually analyzed, and the analysis time is greatly reduced, so that the prediction speed of the equipment cycle is improved, and the technical effect of improving the prediction efficiency of the assembly cycle is achieved.

The invention provides a method for quickly identifying the layered information of sediment pollution in shallow lakes by shallow profile. First, the shallow profile device scans and collects columnar samples, then performs columnar sample analysis and linear correlation analysis, and finally draws a contour map to obtain Sediment contamination stratification results. The present invention provides a method for quickly identifying the layered information of sediment pollution in shallow lakes by shallow profile. On the basis of shallow profile scanning and columnar sample pollutant measurement, the linear correlation between the water content of each layered sediment and the pollutant content is added. analysis to quickly identify pollution stratification information in lake sediments through shallow profiling.

The invention discloses a domain name resolution method for hiding manufacturer information which comprises a method for establishing an address mapping data set and a method for querying a domain name request, and further discloses a domain name resolution system for hiding the manufacturer information. According to the method and the system provided by the invention, the risk of information leakage of the cache can be obviously reduced by hiding the fused manufacturer cache, the security is improved, the analysis time consumption is reduced, and meanwhile, more data analysis with coverage capability is obtained to provide reference for subsequent further service optimization, and therefore the method has obvious technical advantages and beneficial effects.

The embodiments of the invention provide an oil and gas detection method, device, equipment and medium for a deep carbonate oil and gas reservoir. The oil and gas detection method comprises the steps that the number of orientations is determined according to the main fault distribution characteristics and seismic acquisition parameters of a to-be-detected region; according to the number of the orientations, orientations are divided for seismic pre-stack gather data of the area to be measured, according to the seismic pre-stack gather data corresponding to multiple orientations, post-stack sub-orientation data volumes corresponding to the multiple orientations are obtained, and the multiple orientations comprise the orientation parallel to the main fault trend and the orientation perpendicular to the main fault trend; in the post-stack sub-orientation data volumes corresponding to the multiple orientation, the post-stack sub-orientation data volume with the minimum anisotropy is determined; and oil gas detection is carried out based on the determined post-stack sub-orientation data volume. According to the scheme of the oil and gas detection method, the data volume of oil gas detection is reduced, the time consumption of oil gas detection calculation and analysis is reduced, the detection efficiency is improved, the influence of anisotropy on oil gas detection is reduced, and the detection precision is improved.

The invention discloses a part assembly out-of-tolerance analysis method and device, equipment and a storage medium, and is used for electronic equipment, and the method comprises the following steps: determining a plurality of to-be-measured points and a plurality of measurement reference surfaces of the to-be-measured points in a target assembly part; obtaining the minimum distance between each point to be measured and the reference surface; determining a comparison result of each minimum distance and a preset tolerance interval; and based on the plurality of comparison results, obtaining out-of-tolerance analysis results of the plurality of points to be measured. The invention further discloses a part assembly out-of-tolerance analysis device, electronic equipment and a computer readable storage medium. According to the method, the minimum distance and data copying do not need to be obtained manually, the out-of-tolerance analysis time is greatly shortened, and the out-of-tolerance analysis efficiency is improved.

The invention discloses a method for establishing an anti-hysteritis soft capsule UPLC fingerprint spectrum. The method comprises the following steps: (1) preparing a mixed reference substance solution; (2) preparing a test solution; (3) manufacturing a fingerprint spectrum; and (4) confirming a standard fingerprint spectrum: according to the method provided by the invention, establishing the UPLC fingerprint spectrum of the anti-hysteritis soft capsule, determining 12 common peaks through analysis and comparison, and forming fingerprint characteristics of the anti-hysteritis soft capsule by the common peaks as the UPLC fingerprint spectrum of the anti-hysteritis soft capsule. The method provided by the invention has the advantages of rapidness, convenience, high precision, good stability and good repeatability, and can be used for systematically and comprehensively evaluating the quality of the anti-hysteritis soft capsule. According to the method disclosed by the invention, the peaks of norisoboldine, leonurine hydrochloride, forsythiaside B, verbascoside, poliumoside and isoacteoside can be directly found by taking the fifth peak forsythiaside B as a reference peak.

The invention relates to a spreadsheet file analysis method and device, a computer readable storage medium and computer equipment, and the method comprises the steps: taking a data table starting tag as a matching starting point of an extracted target extensible markup language file, and recognizing the target extensible markup language file behind the matching starting point; after a preset row start tag is identified, skipping a data block with a preset size to continue identification, when a preset row end tag is identified, obtaining a segmented data block between the row start tag and the row end tag, and drawing a data view of the segmented data block. and taking the row end tag as an updated matching starting point, and repeatedly generating the segmented data blocks until a preset data table end tag is identified. By repeatedly executing the step of generating the segmented data blocks, the multiple segmented data blocks are determined, the data view drawing is drawn while the data blocks are split, the whole spreadsheet file does not need to be completely analyzed at the same time, and the analysis efficiency of the spreadsheet file is improved.

The invention discloses a multi-peak quantification method based on photoionization ion mobility spectrometry. The method comprises the following steps: analyzing the maximum signal intensity of reagent molecules and the integral area of a certain product ion peak in the whole analysis process of a substance which generates two product ion peaks and has a fixed ion number ratio in an ion-molecular reaction in the ion mobility spectrometry of a negative ion mode; and establishing a linear quantitative relationship between the ratio of the integral area to the maximum signal intensity and the concentration of the substance to be detected in the sample. Propofol in blood is taken as an example, a standard quantitative curve of the photoionization ion mobility spectrometry is established in a concentration range of 0.1-20 ngmuL<-1 >, wherein Y= 0.05 X-0.0004 and a correlation coefficient R<2>= 0.997. The method enlarges the application range of the ion mobility spectrometry as a quantitative instrument, shortens data analysis time, simplifies quantitative operation, is quicker and more accurate, and has a wider application prospect.

The invention discloses a blood vessel image processing method, electronic equipment and a computer readable storage medium. The blood vessel image processing method comprises the following steps: acquiring an original blood vessel image, wherein the original blood vessel image comprises a liver blood vessel image; inputting the original blood vessel image into a trained image processing neural network, wherein the image processing neural network outputs a binary annotation image; and carrying out topological structure analysis on the binary annotation image to obtain vascular skeleton parameters. According to the blood vessel image processing method provided by the invention, the original blood vessel image is processed through the trained image processing neural network to replace an original manual labeling mode, so that the workload is reduced, and the overall analysis time is shortened.