60results about How to "Analysis results are objective" patented technology

The invention discloses a method for obtaining a resident travel characteristic parameter based on mobile phone positioning data. The method comprises the following steps of: (1) collecting mobile phone positioning data; (2) filtering the mobile phone positioning data, matching the mobile phone positioning data to traffic zones, and obtaining the matched mobile phone positioning data; (3) using users as units, ordering the matched mobile phone positioning data in one day by time, merging the continuous data in the same one traffic zone into one piece, and obtaining mobile phone positioning pretreatment data; (4) according to the number of emerged pieces and influence duration, judging residing points, restoring a travel path between two residing points, and obtaining the travel distance and the travel speed, and then obtaining a travel log table of all users; (5) on the basis of the matched mobile phone positioning data, statistically obtaining a place of residence and workplace result table; and (6) and conjointly analyzing the travel log table and the place of residence and workplace result table, and obtaining resident travel characteristic parameters. The method has the characteristics of low cost, large sample quantity, high precision and high time validity.

The invention provides a comment data processing method and device and relates to the technical field of networks. The method comprises the following steps: presetting a feature word lexicon and a sentiment word lexicon; based on the feature word lexicon and the sentiment word lexicon, processing the comment data, wherein the processing comprises the following steps: according to commodity information, obtaining comment data corresponding to the commodity information; according to the feature word lexicon, determining feature words in each piece of comment data; according to the sentiment word lexicon, determining effective sentiment word corresponding to each feature word in the comment data and the orientation value of the sentiment word; according to the corresponding relation of the sentiment words and the feature words and the orientation value of each sentiment word, computing the feature value of each feature word in each piece of comment data. With adoption of the application, the features of commodity on different aspects can be analyzed to obtain the sentiment orientation of the commodity in every aspect from a commentator, the accuracy rate of analyzing the comment data with the characteristics of short text, emphasis on colloquialism and the like is increased, and the utilization rate of the relevant network resources can be increased.

The application discloses a depth-learning-based eye-fundus image processing method, device and system. The method comprises: eye-fundus image pretreatment is carried out and region segmentation extraction is carried out on the eye-fundus image; resampling is carried out on a regional image obtained by the segmentation extraction; data expansion is carried out on the regional image after resampling; and a regional image feature is identified by using a depth learning method. Therefore, an eye-fundus image can be analyzed automatically; the analysis result is objective and accurate; and the manpower cost is saved.

The invention discloses an information network attack-oriented vulnerability node evaluation method for a power grid. The method comprises the steps as follows: a topology frame of a physical power grid information system is generated; a frame model comprises all target states of a physical power grid system; information attack action position and way are constructed; and evaluation of the system vulnerability is carried out. According to the information network attack-oriented vulnerability node evaluation method for the power grid, the vulnerability in the physical power grid information system is analyzed by combining a malicious attack of an information network from a global viewpoint; the method disclosed by the invention is relatively objective and accurate; security defense opinions and suggestions are provided for grid companies and related departments; and information security and stable operation of a power transmission network and a power distribution network are ensured.

The invention discloses a method for evaluating mustard sauce flavor grades by a taste system and an electronic nose, and belongs to the technical field of condiment analysis and identification methods. The method includes the steps of acquiring intelligent sensory data of mustard sauce by an electronic tongue taste system and an electronic nose olfactory system; performing digital processing for traditional sensory evaluation indexes; analyzing relations among the acquired sensory evaluation indexes, stoichiometric indexes and the intelligent sensory data by the aid of a random forest model; evaluating sensory grades of mustard sauce flavor. According to the method, objectivity and accuracy of sensory evaluation of the mustard sauce can be effectively improved, and the method is simple to operate, low in sample consumption and cost and short in consumed time and has high popularization and application values.

The invention provides an analyzing method for key influence factors and an important degree of the dilatation of a gas-containing coal-rock mass of an exploiting disturbance working surface based on a test in order to avoid that invalid factors are more and cannot be taken out and reasonable distribution of weights of the key influence factors is influenced. The analyzing method comprises the following steps: determining each influence factor of the dilatation of the gas-containing coal-rock mass of the exploiting disturbance working surface; carrying out two-by-two comparison on each key influence factor to determine a judging matrix; establishing a weight set of each key influence factor of the dilatation by adopting a normalization processing method; and furthermore, carrying out consistency identification on the weight of each key influence factor. The method provided by the invention has wide practicability and avoids subjectively giving a key influence factor index; dilatation characteristics and a special judgment standard value are analyzed by a laboratory test according to a field observation experiment, so that an analysis result is scientific, objective, safe and reliable.

The invention provides an LTE network interference assessment method, device and system and a storage medium, and the method comprises the steps: obtaining MR information and map information of an LTEnetwork in a to-be-assessed region; dividing the to-be-assessed region into grids through a grid block diagram with a preset side length, and endowing each grid with a unique number value; accordingto the weak coverage index and the overlapping coverage index of the grid, obtaining the coverage attribute, the overlapping coverage attribute and the four-quadrant attribute of the grid; and obtaining an LTE network interference assessment result of the to-be-assessed region according to the coverage attribute, the overlapping coverage attribute and the four-quadrant attribute of each grid. Themulti-dimensional evaluation result can be directly obtained through grid division and attribute analysis on the to-be-assessed region, the analysis efficiency is high, and the analysis result is objective and accurate.

The invention discloses a method for detecting the quality of oranges in different maturity on the basis of a taste-smell fingerprint spectrum. The method comprises the following steps of washing the oranges, peeling the oranges, juicing the oranges, and obtaining the orange juice; carrying out an electronic nose experiment: placing the filtered orange juice in a closed vessel, standing, detecting an overhead air by adopting an electronic nose, extracting characteristic data from the smell fingerprint spectrum, and adopting the extracted characteristic data as an original data of the electronic nose part; carrying out the electronic tongue experiment: placing the filtered orange juice in a special beaker for an electronic tongue, enabling an electronic tongue sensor array to contact sample liquid, generating a sensor response signal, extracting characteristic data from the taste fingerprint spectrum, and adopting the extracted characteristic data as the original data of the electronic tongue part; processing response values from different systems in three different preprocessing methods, so that the generalization capability of a model can be improved. By adopting the method, the high-efficient data fusion of the taste and smell fingerprint spectrum can be realized, the quality of the orange in different maturity can be directly, conveniently, objectively and rapidly evaluated and predicted, and the popularization and application value is relatively high.

The invention relates to a reservoir stratum analysis method using pore structure parameters. The method comprises a first step of performing rock core sampling on a target layer and measuring to obtain a plurality of pore structure parameters; a second step of acquiring a pore degree and permeation rate data of a full hole section of the target layer, and acquiring a specific value curve of the permeation rate and the pore degree of the full hole section; a third step of fitting each measured pore structure parameter in the first step; a fourth step of selecting the pore structure parameter having high fitting degree in the third step and a fitted function relation of the pore structure parameters; a fifth step of calculating to obtain an instruction curve of the optimized pore structure parameters of the full hole section of the target layer; a sixth step of establishing a calculation formula of a pore structure instruction curve (Rc); and a seventh step of calculating a pore structure instruction curve of the full hole section of the target layer, so as to analyze the target layer of the full hole section. The invention also relates to an application of the method in exploration of oil and gas.

The invention discloses a fractal theory-based method for analyzing the surface microscopic topography of an insulating material after flashover, comprising the following steps: Step 1: performing a flashover discharge experiment on the insulating material, and obtaining an AFM surface topography diagram of the insulating material; Step 2: converting the AFM surface topography image of the insulating material into a grayscale image; the size of the grayscale image is m×m; Step 3: processing the grayscale image with a fractal method or a multifractal method , to obtain fractal parameters; step 4: quantitatively analyze the surface micro-morphology of the insulating material after flashover according to the fractal parameters. The invention combines the grayscale method, fractal theory and AFM microscopic observation means to analyze the surface morphology of the insulating material after flashover, the advantages of the three are fully utilized, and the analysis results are more effective and reliable.

The invention discloses a method for qualitatively and quantitatively detecting tea quality based on a multi-sensor fingerprint spectrum, which comprises the following steps of: collecting a batch oftea leaves with different grades, brewing into tea soup for being detected by an electronic nose, an electronic tongue and an electronic eye, and extracting characteristic data from a multi-sensor fingerprint spectrum to describe the color, the aroma and the taste of the tea leaves; then determining the contents of total phenol, amino acid, catechin and caffeine in the tea sample; and establishinga tea grade identification model based on the fusion signals of the three and a prediction model for total phenol, amino acid, catechin and caffeine in tea by combining a random forest algorithm. Themethod provided by the invention is used for establishing a qualitative judgment of the tea quality and a prediction model of the chemical component content by simultaneously fusing the aroma, tasteand color information of the tea, does not need complex pretreatment, has objective and reliable analysis results and simple operation, and has higher popularization value.

The invention provides the apparatus and method for analyzing physical and mental health condition, which comprises an electrocardio signal acquisition module and a mobile terminal; wherein the electrocardio signal acquisition module is used for collecting original electrocardio signal data; the mobile terminal comprises: a heart rate variability data acquisition module , which is used for determining heart rate variability data according to original electrocardiogram data and analyzing time-domain parameters and / or frequency-domain parameters of the heart rate variability data so as to obtaintime-domain analysis parameters and / or frequency-domain analysis parameters; the physical and mental health index analysis module is used for obtaining a physical and mental health analysis result according to the time-domain analysis parameter and / or the frequency-domain analysis parameter. According to the method, the original electrocardiograph data is obtained through the electrocardiograph signal acquisition module. Then the heart rate variability data is obtained through the data processing method, and time-domain and frequency-domain analysis is carried out on the heart rate variability data, so that the analysis result of the physical and mental health condition is finally obtained, and the analysis result is more objective and accurate.

The invention provides a method and a device for confirming user experience and a method and a device for assisting in user experience confirmation. The method for confirming the user experience includes the steps of acquiring operation records that a user operates a to-be-analyzed object; confirming operation characteristics that the user operates the to-be-analyzed object based on the operation records; confirming user experience information about the to-be-analyzed object based on the operation characteristics. Compared with the prior art, the methods and the devices in the scheme have the advantages that the user experience can be analyzed and confirmed automatically, the problems of low efficiency and inconvenience in operation caused by analysis in anthropic modes such as anthropic observation, questionnaire survey and user feedback or the problems of result error caused by anthropic or objective factors and the like in the prior art are avoided, higher efficiency can be achieved and more objective analysis results can be obtained.

The invention provides a discriminating method for heroin origins based on neutral or acidic impurities and partial least-squares discriminant analysis (PLS-DA), which is suitable for discriminating affiliation of heroin in two origins: southeast Asia and southwest Asia. The method comprises the following steps: firstly, putting forward a discriminating function of PLS-DA of the heroin origins; detecting peak area numerical values of independent variables of 25 neutral or acidic impurities in a heroin sample, and substituting the peak area numerical values into the PLS-DA discriminating function; calculating the numerical value t of the obtained discriminating function; when t is greater than 0 and less than 6, judging that the heroin origin is southeast Asia; and when t is greater than -6 and less than 0, judging that the heroin origin is southwest Asia.

The invention relates to a semantic analysis method and device, electronic equipment and a storage medium, and the method comprises the steps: taking an image frame and a voice frame corresponding tothe image frame; identifying a face area from the image frame; and according to a neural network used for identification and analysis, carrying out identification and analysis on the voice informationextracted from the face area and the voice frame to obtain an analysis result. By adopting the method, the accuracy of the analysis result can be improved.

The invention relates to the technical field of jade detection, in particular to a jade identification method based on a terahertz time-domain spectroscopy technology. The method comprises the following steps: S100, establishing a jade classification identification model; S200, preparing a to-be-identified jade sample; S300, measuring a terahertz time domain signal of the to-be-identified jade sample; S400, calculating characteristic parameters of the to-be-identified jade sample; and S500, comparing the characteristic parameter of the to-be-identified jade sample with each model in the jade classification identification model to obtain an identification result. To be specific, the S100 includes: S101, preparing a natural jade sample and an artificially processed jade sample; S102, measuring terahertz time domain signals of the natural jade sample and the artificially processed jade sample; S103, calculating characteristic parameters of the natural jade sample and the artificially processed jade sample; and S104, on the basis of the characteristic parameters, forming a jade classification identification model based on the characteristic parameters. With the provided jade identification method based on the terahertz time-domain spectroscopy technology, problems of incomprehensive detection and low efficiency in the prior art are solved.

The invention provides a method for irradiation quality guarantee of box-packed flavor livestock and poultry products and relates to the technical field of food processing industries and food irradiation. The method is characterized in that according to dominant strain analysis determined in a method of cultivation and non-cultivation on the flavor livestock and poultry products, the treatment of ozone water at 5-15 mg / L is performed on production raw and auxiliary materials for 10-25 min; after livestock and poultry meat is cooked, a selected preservative is added to the livestock and poultry meat, and the livestock and poultry meat is placed in a packaging container and vacuumized and undergoes nitrogen-filled packing; water bath pasteurized processing is performed, and then irradiation sterilization is performed. According to the method, the initial bacterium carrying amount in well packed products can be effectively reduced, and then the water bath pasteurized processing and the special irradiation sterilization process are performed at the appropriate temperature and time.

The invention discloses an optical coherence tomography (OCT) test data analysis method and a device thereof which have remarkable advancement compared with OCT test data analysis methods and devices thereof in prior art. The method includes the following steps of step one, obtaining OCT scanning signal data at the position of eye tear meniscus; step two, analyzing the scanning signal data obtained from the step one, and judging whether a false image signal exists or not; and step three, calculating the scanning signal data obtained from the step one according to a judgment result of the step two, and outputting an OCT test result. According to the OCT test data analysis method and the device thereof, an interference of the false image signal to an OCT test data analysis process is considered during a calculation process, firstly a scanning signal is judged so as to determine whether the false image signal exists or not, and an analysis result of the false image signal is considered during the calculation process or when the result is output. The false image signal is considered, so that the analysis result of the OCT test data is objective and accurate.

The invention discloses a method and device for analyzing data fluctuation, and relates to the technical field of computers. A specific embodiment of the method comprises the steps of obtaining a dataset of to-be-analyzed data; determining fluctuation data in the data set; and matching fluctuation factor information for the fluctuation data in an information table of at least one fluctuation factor to generate fluctuation reason analysis data of the fluctuation data. The method can automatically analyze reasons of data fluctuation, is high in efficiency, and is objective and accurate in analysis result.

The invention provides an analysis method of a mixed DNA map, and belongs to the technical field of forensic genetics and forensic physical evidence. The method comprises the following steps: reading first-generation DNA STR map data and related parameters generated by capillary electrophoresis; generating a candidate genotype set of each gene locus by using the map data and the related parameters; determining a sampling interval of prior distribution of the preset sample parameters by using the atlas data and the related parameters; according to the determined sampling interval of the prior distribution of the preset sample parameters, sampling the candidate genotype set and the posterior distribution of the sample parameters by using an MCMC algorithm; and performing statistics on preset related indexes by using the candidate genotype set obtained by sampling and the posterior distribution of the sample parameters, and performing mixed DNA atlas analysis to obtain various analysis results. According to the method, first-generation DNA STR atlas data can be analyzed, atlas analysis is more objective, meanwhile, all input gene loci are split, and the splitting accuracy is high.

The invention provides a method for quickly detecting the quality of donkey-hid gelatin. Qualified Dong'e donkey-hide gelatin is selected to serve as a standard reference sample; a crushed donkey-hide gelatin sample is dissolved in distilled water and put in a sample bottle, and then the sample bottle is sealed; the sample bottle is put on a sample plate of an electronic nose system, analysis parameters of the electronic nose system are set, and analysis and testing are performed through the electronic nose system; smell fingerprint information of the donkey-hide gelatin is collected through the electronic nose system, and each sample is analyzed for 120 s; a sensor array of the electronic nose system acquires the smell which the donkey-hide gelatin emits, acquired data are subjected to system cluster analysis by means of SPSS (statistical product and service solutions) data statistical software, and the quality of the donkey-hide gelatin can be quickly detected. The pre-treatment of the sample is simple, no organic solvents are required, and the method is natural, cannot cause any pollution and has the characteristics of low price, fastness, objectivity and the like.

The invention discloses a three-in-one 'dental body-dentition-face analysis' aesthetic ruler for dental restoration, which is formed by a long main ruler. A cross-shaped ruler is arranged on the leftend of the main ruler; a notch is formed above the middle part of the main ruler; the right end part of the main ruler is hinged with a root part of an arc-shaped pointer; the right part of the main ruler downwards extends to form a fan-shaped arc-shaped ruler; the tail part of the arc-shaped pointer fits to the arc-shaped ruler; an auxiliary ruler is perpendicularly embedded to the center of thenotch of the main ruler; a left sliding block is sleeved outside the left part of the main ruler; a right sliding block is sleeved outside the right part of the main ruler; vertical length pointers are slidably inserted into the rear sides of the left sliding block and the right sliding block; scales and corresponding marked lines are marked on the main ruler, the cross-shaped ruler and the auxiliary ruler. The aesthetic ruler not only can be used for analyzing a dental body, but also can be used for analyzing dentition, and can be also used for measuring face analysis; dental aesthetics measurement in dental aesthetics restoration is simpler and more convenient; measurement and analysis results are more objective and accurate; an effect of dental aesthetics restoration is further improved.

The invention relates to a quality inspection method for a glycoside sulfonyl succinate product by using the content of maleic anhydride and a sulfonating rate as indexes. The quality inspection method is characterized in that the content of maleic anhydride is detected by a high performance liquid chromatography method, and the sulfonating rate is detected by a nuclear magnetic resonance spectroscopy method; the content of maleic anhydride in a glycoside maleate intermediate and the sulfonating rate of the intermediate are detected, so as to comprehensively inspect the quality of the product.The quality inspection method has the advantages that the residue amount of maleic anhydride in the glycoside maleate system is detected by the high performance liquid chromatography method to detectthe quality of the intermediate, and the sulfonating rate of the glycoside maleate is detected by the nuclear magnetic resonance spectroscopy method to further inspect the quality of the product; theinspection detection result method is scientific, objective and accurate.

The invention relates to a gel filtration chromatographic analysis method for alkyl glucoside surfactant product components. The method includes: firstly preparing reference substances of monoside and polyglycoside, then adding a mobile phase into the reference substances and a to-be-detected sample to conduct dissolution respectively, then employing an evaporative light-scattering detector collocated high performance liquid chromatograph to conduct sample introduction respectively, carrying out separation on a gel filtration chromatographic column, taking methanol-acetonitrile-water as the mobile phase to carry out gradient elution, and conducting area normalization method by an area normalization technique. With the method provided by the invention, the analysis result can be more objective and reliable.

The invention relates to the field of artificial intelligence, and discloses a risk assessment transaction detection method, device and equipment, and a storage medium. The method, the device and theequipment are used for detecting transaction of risk assessment data. The method comprises the following steps: obtaining behavior data and business data of a user; calculating an investment experience evaluation value, an intention evaluation value, a first accuracy and a second accuracy respectively corresponding to the investment experience evaluation value and the intention evaluation value according to the behavior data; calculating a risk tolerance evaluation value and a corresponding third accuracy according to the business data; when the user fills in questionnaire evaluation, comparing the evaluation value with evaluation data of the questionnaire evaluation to obtain a preliminary estimated transaction coefficient; and according to the first accuracy, the second accuracy and thethird accuracy, calculating preliminary abnormal change credibility, judging whether the preliminary estimated abnormal change coefficient and the preliminary abnormal change credibility are both greater than a preset threshold, and if so, sending user information of the user to a worker terminal. In addition, the invention also relates to a blockchain technology, and the behavior data and the business data of the user can be stored in the blockchain.

The invention relates to an auxiliary diagnosis system for disturbance of consciousness based on auditory evoked electroencephalogram signal analysis, and belongs to the technical field of medical diagnosis. The auxiliary diagnosis system comprises an auditory stimulation module, an electroencephalogram signal acquisition module, and an analysis and judgment module; the auditory stimulation module outputs a stimulation audio frequency so as to stimulate the brain of a to-be-tested person; the electroencephalogram signal acquisition module is used for acquiring an electroencephalogram signal generated when the stimulation audio frequency stimulates the brain of the to-be-tested person; and the analysis and judgment module is in communication connection with the auditory stimulation module and the electroencephalogram signal acquisition module, and is used for receiving the electroencephalogram signal and processing the electroencephalogram signal by adopting an LSTM + SVM algorithm and an EEGNet algorithm so as to output a diagnosis result. The diagnosis system provided by the invention only needs a test subject to passively receive the stimulation audio frequency, so that the participation of a professional evaluator is not needed, the professional dependence is low, the diagnosis system is suitable for community popularization, the universality is relatively high, and the diagnosis system has a good application prospect.

The invention provides a paper archive digital processing demand analysis method based on artificial intelligence, and the method comprises the steps: carrying out the RFID recognition of a paper archive, obtaining the confidentiality level of the paper archive, scanning the paper archive with a higher confidentiality level into an archive image, analyzing the archive image through a neural network, and obtaining the digital processing demand of the paper archive, obtaining a paper type of a paper file, judging whether a handwriting material used by handwritten contents in the file belongs toa non-durable handwriting material, analyzing the difficulty degree of handwriting fading, and judging whether the paper file needs to be digitally processed in combination with the confidentiality level of the file; the analysis result is objective and accurate and is not influenced by subjective factors of people, archive loss caused by misjudgment of workers can be avoided, and the problems oflow manual judgment efficiency, low precision and the like are solved.

The invention discloses a method for obtaining a resident travel characteristic parameter based on mobile phone positioning data. The method comprises the following steps of: (1) collecting mobile phone positioning data; (2) filtering the mobile phone positioning data, matching the mobile phone positioning data to traffic zones, and obtaining the matched mobile phone positioning data; (3) using users as units, ordering the matched mobile phone positioning data in one day by time, merging the continuous data in the same one traffic zone into one piece, and obtaining mobile phone positioning pretreatment data; (4) according to the number of emerged pieces and influence duration, judging residing points, restoring a travel path between two residing points, and obtaining the travel distance and the travel speed, and then obtaining a travel log table of all users; (5) on the basis of the matched mobile phone positioning data, statistically obtaining a place of residence and workplace result table; and (6) and conjointly analyzing the travel log table and the place of residence and workplace result table, and obtaining resident travel characteristic parameters. The method has the characteristics of low cost, large sample quantity, high precision and high time validity.

The invention discloses a method for quickly monitoring riverway water quality parameters based on an electronic nose technology, which specifically comprises the following steps: putting a collectedriverway water sample into a sealed container, and standing for a period of time to saturate headspace gas in the sealed container; the electronic nose monitoring headspace gas, and extracting characteristic data from an electronic nose signal to serve as fingerprint information of river water; detecting physical and chemical parameters of pH, COD, total phosphorus and total nitrogen of the riverwater; and establishing a regression model between the riverway water fingerprint information based on the electronic nose technology and the physicochemical parameters of the riverway water fingerprint information by adopting a support partial least square method. According to the method, the riverway water quality parameters can be rapidly detected only through the electronic nose technology andthe partial least square method, complex riverway water early-stage pretreatment is not needed, the analysis structure is objective and reliable, operation is easy, the cost is low, and high application and popularization value is achieved.

The invention provides a benefit analysis method of medical equipment and belongs to the field of medical equipment benefit analysis. The benefit analysis method of medical equipment comprises the following steps of S1, setting attributes of medical equipment; S2, setting an analysis method of the medical equipment according to the attributes; S3, extracting income data of the medical equipment through an ETL tool; S4, extracting expenditure data of the medical equipment; S5, verifying the accuracy of the income data and the expenditure data; S6, analyzing the income data and the expenditure data by utilizing an analysis method to obtain the utilization rate and the profit rate of the medical equipment; S7, investigating the use condition of each department for the medical equipment through questionnaires, and generating a questionnaire investigation report; and S8, outputting a benefit total report and an analysis report file of the medical equipment according to the utilization rate,the profit rate and the questionnaire survey report. The method has the advantages that comprehensive benefits of the medical equipment can be comprehensively analyzed in batches. Medical equipment resources are utilized to the maximum extent.