30results about How to "Raise the F value" patented technology

The invention relates to a method for identifying named entities in the field of traveling, belongs to the artificial intelligence field. Based on language material collection, labeling and text pretreatment conducted manually, the invention provides a method for identifying named entities in the field of traveling based on stack condition random field model. The method comprises the following two steps: in the low-grade condition random field, word used as dividing granularity is combined with characteristic dictionaries such as a tourist attraction common word table, a tourist attraction common suffix table, a place name common word table, and the like, so as to realize simple traveling name entity identification through establishing an effective characteristic molding board; the identification result is transmitted to the high-grade model, in the high-grade model, phrase used as dividing granularity is combined with a molding board with a difficult characteristic module, so as to realize the identification of nesting scenic spots, local products and delicacies, and locations. In open tests, compared with a monolayer model, the F value of the stack condition random field model increases by 8 percent; and compared with an HMM (Hidden Markov Model) model, the correct rate of the stack condition random field model increases by 8 percent, the recall rate thereof increases by 22 percent, and the F value thereof increases by 15 percent.

The invention discloses a method of preparing high F-value collagen peptide by hydrolyzing anglerfish fishskins. The method comprises the following steps: by taking anglerfish fishskins as a raw material, extracting collagen by acid liquor; then, fractionally hydrolyzing fishskin collagen by using stomach protease and flavourzyme under an ultrasonic condition; and finally, removing aryl and color, and after vacuum concentration, carrying out spray drying to obtain the high F-value collagen peptide. According to the method disclosed by the invention, leftovers of the anglerfish fishskins are effectively utilized, and the high F-value collagen peptide is prepared by hydrolyzing the anglerfish fishskins, so that not only is high nutritional value of collagen peptide extracted from the anglerfish fishskins utilized, but also the problem that the leftovers of the anglerfish fishskins pollute the environment and lead to waste of resources is further solved. The collagen peptide prepared by the method disclosed by the invention has high F value and small relative molecular weight and is beneficial to be absorbed by the human body. The value of the collagen peptide is higher than that of common collagen peptide.

The present invention relates to a microblog big data interest community analysis optimization method based on a user experience. The method comprises a step of carrying out weighted reconfiguration of an original microblog network, a step of completing the community division of the reconfigured weighted network based on the discovery algorithm of a link community, and a step of using a hierarchical clustering algorithm to continuously merge two communities with a largest similarity, finally forming a link community through division, and generating a tree-shaped hierarchical diagram. Starting from aspects of interest modeling and community discovery, through analysing microblog content and a user behavior, a user is helped to find interested users and topics of the user. Compared with a traditional method, the accuracy, recall ratio and F value of the method of the invention are improved significantly.

The invention discloses a music classification recommending method based on a Markov prediction algorithm. By means of the method, the Markov prediction algorithm serves as the main algorithm and is combined with an auxiliary algorithm to obtain a prediction value, and the next motion of a user is predicted through a large number of user data; the method can also be used for recommending music classifications and predicting user operation songs for music websites. The Markov prediction algorithm serves as the main algorithm and a prediction algorithm for user music behaviors; by means of the method, the next motions of the users are predicted through the Markov prediction algorithm when the users click on the music websites for music playing, collecting or downloading, and the next played music classifications of the users are predicted after the users play different classifications of music; the f value is effectively increased, and the data processing efficiency is indirectly improved.

The invention belongs to the field of food biotechnology, and in particular relates to a method for simultaneously preparing high-F ratio oligopeptide and starch sugar from corn gluten meal as a raw material. The pH of a pre-treated corn gluten meal solution is adjusted to be weakly-acidic and hydrolyzed. The supernatant is dried to obtain a starch sugar product; the precipitate is further hydrolyzed and refined to obtain the high-F ratio oligopeptide product. The method disclosed by the invention has the advantages of simple process, less equipment investment and high product yield, and the like; the content of total proteins of the high-F ratio oligopeptide product is higher than 85%, wherein the proportion of dipeptides and tripeptides in the total proteins is higher than 85%, F ratio is greater than 30, the high-F ratio oligopeptide product has good water solubility and good color and flavor, can be widely used in the field of health food and nutritious food; and the glucose content in the starch sugar product is higher than 50%, and the starch sugar product has good water solubility, and can be widely used in food and fermentation industry.

The invention relates to a conditional random field and transformative learning based Vietnamese chunking method and belongs to the technical field of natural language processing. The method comprises the steps of firstly preprocessing Vietnamese corpora to obtain sentence level Vietnamese chunking training corpora; extracting the sentence level Vietnamese chunking training corpora from a database and performing chunking modeling on the sentence level Vietnamese chunking training corpora to obtain a Vietnamese chunking conditional random field model; obtaining a transformative mode set; and performing chunking marking on to-be-chunked Vietnamese sentence level test corpora through the established Vietnamese chunking conditional random field model and the obtained transformative mode set to obtain a Vietnamese chunking marking result. The method realizes effective chunking analysis for Vietnamese sentences and paves the way for work such as phrase trees, semantic analysis, machine translation and the like; and compared with an existing Vietnamese chunking tool, the Vietnamese chunking method is remarkably improved in accuracy, recall rate and F value.

The invention relates to a preparation method of a high-F-value oligopeptide. The preparation method of the high-F-value oligopeptide comprises the following steps of adding alkaline proteases into ayeast protein solution for emzymolysis at a pH of 7.0-9.0 and a temperature of 45-55 DEG C to obtain a yeast leaching liquor, wherein the adding amount of the alkaline proteases is 400-600 U / g to yeast proteins; concentrating the yeast leaching liquor to removing molecules with the molecular weight lower than 500 Da in the yeast leaching liquor to obtain a concentrated solution; adding alpha-chymotrypsin into the concentrated solution for emzymolysis for 2-8 h at a pH of 6.5-8.5 and a temperature of 35-45 DEG C; performing enzyme deactivation, and then adding carboxy-peptidase A into the enzymatic products for emzymolysis for 4-8 h at a pH of 6.5-7.5 and a temperature of 35-45 DEG C, performing enzyme deactivation and absorbing impurities through activated carbon to obtain the high-F-valueoligopeptide. The preparation method of the high-F-value oligopeptide is simple, low in cost, rich in material resources and controllable during emzymolysis and can prepare the purely natural and absorbable high-F-value oligopeptide.

The present invention discloses a preparation method of shellfish high F value oligopeptides. The preparation method comprises the following steps: shellfish meat is washed clean, the washed shellfishmeat is homogenized, then enzymatic hydrolysis is conducted to obtain an upper layer enzymatic hydrolysate, a dendrimer is used to prepare a molecular imprinting material, the molecular imprinting material adsorbs aromatic amino acids in the enzymatic hydrolysate to obtain a high F value oligopeptide solution, and high F value oligopeptide powder is prepared by freeze-drying. The raw materials ofthe product are liable to obtain and cheap, the preparation method is simple and convenient for industrial production, has a product yield of 75% or more, and the product has a F value of 50 or moreand can be used as a dietary source component for patients with liver diseases.

The invention discloses a method for preparing shellfish high fischer ratio oligopeptides through cooperation of subcritical water and an enzyme method. The method comprises the following steps of (1)performing treatment with subcritical water: performing homogenization on shellfish processing by-products, performing mixing with water, performing extraction with the subcritical water and performing filtering to obtain extraction liquid; (2) performing enzymolysis: performing enzymolysis on the extraction liquid obtained in the step (1) with endoprotease, and then performing enzymolysis with exoprotease to obtain enzymatic hydrolysate ; (3) performing clarification: removing solid granules in the enzymatic hydrolysate obtained in the step (2), to obtain clear enzymatic hydrolysate ; (4) performing decoloring: decoloring the clear enzymatic hydrolysate obtained in the step (3) with activated carbon to obtain decolored enzymatic hydrolysate ; and (5) performing refining: performing ultrafiltration on the decolored enzymatic hydrolysate obtained in the step (4), then performing nanofiltration to obtain high fischer ratio oligopeptides filtrate, and drying the high fischer ratio oligopeptides filtrate. According to the method disclosed by the invention, the fischer ratio of the products is effectively increased, the production time is greatly shortened, the energy consumption is reduced, and the production cost is reduced.

A compound of Formula 1, as disclosed herein, is useful in an organic light emitting device and apparatuses including the same.

The invention provides a domain ontology-based equipment search method in smart hole, and aims at improving the recall ratio and precision ratio. The method comprises the following steps of: obtainingand established smart home domain ontology model; reasoning a smart home ontology according to the obtained smart home domain ontology model; so as to obtain a smart home ontology implication relation; constructing indexes according to equipment information stored in a preset equipment database so as to obtain an index table; and obtaining a query word input by a user, extending the query word byutilizing a smart home ontology-based semantic extension and Tongyici Cilin-based semantic extension combined method according to the obtained smart home ontology implication relation, searching theindex table and returning a corresponding equipment record. The method is suitable for equipment search operations in the internet of things.

The invention discloses sunflower disk peptide powder as well as a preparation method and application thereof. The final sunflower disk peptide powder is mainly obtained by the steps of pretreatment,enzymolysis treatment, impurity removal, concentration and post-treatment; in the pretreatment process, sunflower disks are firstly treated by using alcohol, then treatment is performed in water, so that anti-nutritional factors such as tannin and phytic acid and interference substances such as colloids and sugars in the sunflower disks are removed, and initial meal of the sunflower disks suitablefor requirements of subsequent operation is obtained; in the enzymolysis treatment process, inactivated proteins are degraded mainly by neutral protease and alkaline protease to obtain high F value oligopeptides; and the high F value oligopeptides in a solution are collected, sterilization is performed, drying is performed, packaging is performed, and finally the product is formed. The sunflowerdisk peptide powder extracted by the method has a prospect as a functional amino acid beverage, and can be applied to the field of foods.

The invention provides a method for preparing high F ratio oligopeptide by virtue of ultrasonically destructed wheat protein. The method sequentially comprises the following steps: (1) preparing a wheat protein suspension according to a material-to-water ratio of 1: (8-13) by mass, and implementing ultrasonic destruction under a power of 220-250W for 8-2min; (2) adding 1.5-3.0% of papain by mass, uniformly mixing all materials, regulating pH value to 6.5-8.5, and preserving a constant-temperature condition of 35-55 DEG C for 120-60min; (3) adding 8-12% of carboraffin in terms of a total volume, regulating pH value to 6.0-7.5, implementing stirring at 40-50 DEG C, implementing decolorizing and debitterizing treatment for 4-3h, then implementing fine filtration, removing the carboraffin, and implementing sterilizing treatment, so that an oligopeptide fine filtrate is obtained; and (4) implementing drying. According to the method provided by the invention, the wheat protein is degraded by virtue of an ultrasonic destruction technique instead of alcalase and excision flavourzyme; therefore, the method is simple in process, low in cost and convenient for implementation of large-scale industrial production. The finished product (the high F ratio oligopeptide) prepared by the invention is applicable to biological medicines, food, health-care products, flavors and fragrances as well as animal feeds.

The invention relates to an image segmentation method based on pseudo-color coding and DISCOV coding, and relates to an image segmentation method. The objective of the invention is to solve problems of low image extracting accuracy and low calculating speed under the noise condition in the prior art. The process comprises the steps: 1, obtaining image data, carrying out the gray scale processing of image data, obtaining an image after gray scale processing, carrying out the noise adding processing of the image after gray scale processing, and obtaining an image after noise adding; 2, eliminating abnormal values of the obtained image according to the 3sigma rule after noise adding, and obtaining an image after the abnormal values are eliminated; 3, carrying out the pseudo-color coding of the image after the abnormal values are eliminated, and obtaining a pseudo-color coding image; 4, inputting the R, G and B values of the pseudo-color coding image into DISCOV, and employing the RG of a single opposite element code for the coding of the pseudo-color coding image; 5, segmenting an RG coding coefficient into 1 or 1 through the otsu method. The method is used in the field of image segmentation.

The invention provides a method for preparing high-F-value oligopeptide by taking chlorella powder as a raw material. The method comprises the following steps: adding trypsin into chlorella protein according to 70000-90000 U / mg protein under the conditions that the pH is 8 and the temperature is 27-52 DEG C to carry out first enzymolysis; then carrying out second enzymolysis by using recombinant carboxypeptidase derived from aspergillus niger, wherein the enzymolysis conditions are as follows: the pH is 6.5-7.5, the enzyme addition amount is 3-7% of the protein amount and the enzymolysis temperature is 27-40 DEG C; and then adjusting the pH to 4.5, adding activated carbon according to a solid-to-liquid ratio of 1 to 10 to remove impurities, and conducting filtering to obtain a high-F-valueoligopeptide solution. According to the method for preparing the high-F-value oligopeptide, chlorella is taken as the raw material, the protein content is high, the cost is low and the yield is high.The F value of the product is easy to elevate, the production cost of an enzyme method is reduced, the energy consumption in a later purification process is reduced, environmental pollution is reduced, the high-F-value oligopeptide is effectively prepared, and industrial production and application of the high-F-value oligopeptide are promoted.

The invention discloses a method of preparing high F-value collagen peptide by hydrolyzing anglerfish fishskins. The method comprises the following steps: by taking anglerfish fishskins as a raw material, extracting collagen by acid liquor; then, fractionally hydrolyzing fishskin collagen by using stomach protease and flavourzyme under an ultrasonic condition; and finally, removing aryl and color, and after vacuum concentration, carrying out spray drying to obtain the high F-value collagen peptide. According to the method disclosed by the invention, leftovers of the anglerfish fishskins are effectively utilized, and the high F-value collagen peptide is prepared by hydrolyzing the anglerfish fishskins, so that not only is high nutritional value of collagen peptide extracted from the anglerfish fishskins utilized, but also the problem that the leftovers of the anglerfish fishskins pollute the environment and lead to waste of resources is further solved. The collagen peptide prepared by the method disclosed by the invention has high F value and small relative molecular weight and is beneficial to be absorbed by the human body. The value of the collagen peptide is higher than that of common collagen peptide.

Provided is a preparation method for a high-F ratio oligopeptide, comprising the following steps: adding an alkaline protease to a yeast protein solution, and performing enzymolysis under conditions of pH 7.0-9.0 at 45 to 55 °C to obtain a yeast extract; concentrating the yeast extract to remove molecules having a molecular weight of 500 Da or less to obtain a concentrate; adding alpha-chymotrypsin to the concentrate, and performing enzymolysis under the conditions of pH 6.5-8.5 at 35 °C to 45 °C for 2 to 8 h; and inactivating enzymes, adding carboxypeptidase A to the enzymatic hydrolysate, performing enzymolysis under conditions of pH 6.5-7.5 at 35 °C to 45 °C for 4 to 8h, inactivating said enzyme, and using activated carbon to adsorb and remove impurities, so as to obtain the high F-ratio oligopeptide.

An acoustic ink method and system are provided for improving the uniformity in an acoustic ink printing system by manipulating nonlinear characteristics of the system. The method includes operating the system at a power level that is above the power level at which the nonlinearity of the system is initiated.

The invention belongs to the field of genetic engineering and provides an enzyme for high yield of specific functional oligopeptides and derived from Aspergillus niger M00988 and engineering bacteriathereof. According to the invention, carboxypeptidase capable of high yield of low F-value oligopeptides and engineering bacteria for producing the enzyme are obtained through genetic modification. Through modification of special sites, the efficiency of carboxypeptidase in removing aromatic amino acids is improved, which is good for increasing the F value of products, reducing the production costof the enzymatic method, reducing the energy consumption in the later purification process, reducing environmental pollution and realizing the industrial production application in efficient preparation of high F-value oligopeptides.

The invention discloses a method for preparing shellfish high F-value oligopeptides by a subcritical water-assisted enzymatic method, comprising the following steps: 1) subcritical water treatment: homogenate shellfish processing by-products and mix them with water, use subcritical water Extract with critical water and filter to obtain the extract; 2) Enzymolysis: Use endoprotease to enzymolyze the extract obtained in step 1), and then use exoprotease to enzymolyze to obtain enzymolysis; 3) Clarification: Remove the solid particles in the enzymatic hydrolysis solution obtained in step 2) to obtain a clarified enzymatic hydrolysis solution; 4) Decolorization: use activated carbon to decolorize the clarified enzymatic hydrolysis solution obtained in step 3) to obtain a decolorized enzymatic hydrolysis solution; 5) Refining: The decolorized enzymatic hydrolyzate obtained in step 4) is first subjected to ultrafiltration and then nanofiltration to obtain a high F value oligopeptide filtrate; and the high F value oligopeptide filtrate is dried. The invention effectively improves the F value of the product, greatly shortens the production time, reduces energy consumption, and reduces production costs.

The invention discloses a road network semantic similarity calculation model based on a subjective and objective integration weighting method. The method comprises the following steps: firstly, calculating semantic similarity of a single attribute item according to description characteristics of each attribute item; then, determining the weight by adopting a subjective and objective integration weighting method; and finally, determining a similarity matching threshold by utilizing regression analysis. When the model is applied to multi-scale road network matching, the matching rate, recall rate and F value can be effectively improved. Compared with a mean value method and a subjective weighting method, the subjective and objective integration weighting method has the advantages that the weight combination can more reasonably reflect the importance of each attribute item; compared with an expert assignment method, the optimal similarity matching threshold value selected through regression analysis is more targeted, and the road network matching efficiency can be effectively improved.

The invention provides a high-F-value oligopeptide and a preparation method thereof, and relates to the technical field of active peptide preparation. The method comprises the following steps: takingdefatted rice bran as a raw material, firstly adding cellulase for wall breaking, then extracting rice bran protein by an alkaline method, firstly adding neutral protease, then adding alkaline protease for hydrolyzing the protein, removing aromatic amino acid by utilizing activated carbon static adsorption chromatography, and performing separating and drying to obtain the rice bran high-F-value oligopeptide. The F value of the high-F-value oligopeptide is 28-32. The preparation method disclosed by the invention opens up a new direction for the application of the rice bran which is grain leftovers.

The invention relates to a high-F (Fischer)-value tuna oligopeptide preparation method. The high-F-value tuna oligopeptide preparation method includes: soaking unfreezed minced tuna in a soak solution, taking the soaked minced tuna out, washing the soaked minced tuna clean by deionized water and homogenizing to obtain tuna paste; subjecting the tuna paste to enzymolysis, subjecting enzymatic hydrolysate to microfiltration, and performing chromatography circularly to obtain a high-F-value tuna oligopeptide solution. The high-F-value tuna oligopeptide preparation method has the advantages that the preparation method is simple, convenient for industrial production; the high-F-value tuna oligopeptide is capable of resisting fatigue and free from environmental pollution, thereby being particularly suitable for fatigue groups to consume and meeting environmental protection requirements; a preparation process is simple, technologies are simplified, product yield is increased to 75-88%, industrial production is facilitated, and an F value is as high as 25-35.

The invention belongs to the field of genetic engineering and provides an enzyme derived from Aspergillus niger M00988 with high yield of specific functional oligopeptides and an engineering bacterium thereof. The invention obtains the carboxypeptidase capable of high-yield low F value oligopeptide and the engineering bacterium producing the enzyme through genetic modification. Through the modification of special sites, the efficiency of carboxypeptidase to remove aromatic amino acids is improved, which can help improve the product F value, reduce the cost of enzymatic production, reduce energy consumption in the later purification process, reduce environmental pollution, and achieve high efficiency. Industrial production application for preparation of high F value oligopeptides.

The invention provides a method for preparing high F ratio oligopeptide by virtue of ultrasonically destructed wheat protein. The method sequentially comprises the following steps: (1) preparing a wheat protein suspension according to a material-to-water ratio of 1: (8-13) by mass, and implementing ultrasonic destruction under a power of 220-250W for 8-2min; (2) adding 1.5-3.0% of papain by mass, uniformly mixing all materials, regulating pH value to 6.5-8.5, and preserving a constant-temperature condition of 35-55 DEG C for 120-60min; (3) adding 8-12% of carboraffin in terms of a total volume, regulating pH value to 6.0-7.5, implementing stirring at 40-50 DEG C, implementing decolorizing and debitterizing treatment for 4-3h, then implementing fine filtration, removing the carboraffin, and implementing sterilizing treatment, so that an oligopeptide fine filtrate is obtained; and (4) implementing drying. According to the method provided by the invention, the wheat protein is degraded by virtue of an ultrasonic destruction technique instead of alcalase and excision flavourzyme; therefore, the method is simple in process, low in cost and convenient for implementation of large-scale industrial production. The finished product (the high F ratio oligopeptide) prepared by the invention is applicable to biological medicines, food, health-care products, flavors and fragrances as well as animal feeds.

The invention relates to a method for summarizing case-related public opinion news texts based on case elements and BiGRU, and belongs to the technical field of natural language processing. The present invention first constructs a data set of public opinion news abstracts involved in the case and defines relevant case elements, then integrates the case element information into the word and sentence double-layer encoding process of the news text through the attention mechanism, and generates a news text representation with the case element information, and finally Sentences are classified using a multi-feature classification layer to obtain summaries. The invention realizes obtaining important information as a brief summary from the public opinion news text related to a specific case. It plays an important role for relevant personnel to quickly control the situation of public opinion.

The invention relates to a text sequence iterative method for semantic understanding. The text sequence iterative method for semantic understanding aims at solving the problems that in the prior art, a method for crawling searching of the engine retrieval number is adopted on the aspect of semantics similarity computation, the efficiency is low, recurrence cost is oversize, depending on an ontology base and a semantic resource, manual checking or purely manual construction is needed, the expandability aspect needs improving, and the practical application is limited to some extent. According to the technical scheme, the method comprises the steps that 1, an original text triad and a background knowledge base triad are extracted; 2, a real number vector of the original text triad and a real number vector of the background knowledge base triad are calculated; 3, the semantic similarity is calculated; 4, the weighted value of the real number vector of the background knowledge base triad is calculated; 5, a sequence iterative model is constructed; 6, text classification is conducted on a text through a support vector machine, and estimation is conducted on classification performance. The text sequence iterative method for semantic understanding is applied to computer fields.