Product
Patsnap Eureka
For R&D, Patsnap Eureka makes reading and utilizing patents & technical documents easy.
Patsnap Eureka AIR
Designed for self-driven R&D workflows. Generate viable solutions, solve complex R&D challenges, empower your innovation with AI.
Patsnap Eureka Materials
Designed for material experts only. Revolutionize your material R&D, from search, analyze, to developing new materials.
Feature
TechResearch
Generate reliable direction feasibility study reports for your R&D in just a few steps.
TechSeek
Discover and master advanced knowledge NOW. Basics, ideas, possibilities, all at once.
TechMind
As an expert in R&D Theories, TechMind can generates customized viable solutions instantly.
TechRisk
Analyze your overall solution with one click, know your potential R&D risks in advance.
TechMonitor
Get weekly tech updates, stay abreast of the latest tech innovations and key insights.
Patents
Literature
Hiro is an intelligent assistant for R&D personnel, combined with Patent DNA, to facilitate innovative research.
115 results about "R language" patented technology
Efficacy Topic
Property
Owner
Technical Advancement
Application Domain
Technology Topic
Technology Field Word
Patent Country/Region
Patent Type
Patent Status
Application Year
Inventor
Natural language interface using constrained intermediate dictionary of results
InactiveUS7177798B2Not assureSpeech recognitionSpecial data processing applicationsR languageInformation type
A method for processing a natural language input provided by a user includes: providing a natural language query input to the user; performing, based on the input, a search of one or more language-based databases; providing, through a user interface, a result of the search to the user; identifying, for the one or more language-based databases, a finite number of database objects; and determining a plurality of combinations of the finite number of database objects. The one or more language-based databases include at least one metadata database including at least one of a group of information types including case information, keywords, information models, and database values.
Owner:RENESSELAER POLYTECHNIC INST
Pronunciation correction of text-to-speech systems between different spoken languages
Pronunciation correction for text-to-speech (TTS) systems and speech recognition (SR) systems between different languages is provided. If a word requiring pronunciation by a target language TTS or SR is from a same language as the target language, but is not found in a lexicon of words from the target language, a letter-to-speech (LTS) rules set of the target language is used to generate a letter-to-speech output for the word for use by the TTS or SR configured according to the target language. If the word is from a different language as the target language, phonemes comprising the word according to its native language are mapped to phonemes of the target language. The phoneme mapping is used by the TTS or SR configured according to the target language for generating or recognizing an audible form of the word according to the target language.
Owner:MICROSOFT TECH LICENSING LLC
Pronunciation learning through correction logs
A new pronunciation learning system for dynamically learning new pronunciations assisted by user correction logs. The user correction logs provide a record of speech recognition events and subsequent user behavior that implicitly confirms or rejects the recognition result and / or shows the user's intended words by via subsequent input. The system analyzes the correction logs and distills them down to a set of words which lack acceptable pronunciations. Hypothetical pronunciations, constrained by spelling and other linguistic knowledge, are generated for each of the words. Offline recognition determines the hypothetical pronunciations with a good acoustical match to the audio data likely to contain the words. The matching pronunciations are aggregated and adjudicated to select new pronunciations for the words to improve general or personalized recognition models.
Owner:MICROSOFT TECH LICENSING LLC
Natural language processing method for converting a first natural language into a second natural language using data structures
InactiveUS6126306AEasy to understandEasy programmingNatural language translationSpecial data processing applicationsR languageStructure analysis
A method which includes performing a structure analysis on a natural sentence inputted by making use of a word dictionary DIC-WD and a configuration dictionary DIC-KT and converting letter series KNJ of the inputted natural sentence into a language structure information series IMF-LSL. The natural sentence inputted in the form of the language structure information series IMI-LSL is subjected in such a manner to application of meaning analysis grammar IMI-GRM to cause a single or a plurality of meaning frames IMF-FRM to be read out from a meaning frame dictionary DIC-IMI in accordance with commands of the meaning analysis grammar IMI-GRM. When a plurality of meaning frames IMI-FRM are read out a meaning frame which defines an abstract meaning expressed by the inputted natural sentence is synthesized by case coupling and / or logic coupling the meaning frames IMI-FRM. Words WD, particles JO and symbols KI are inserted into the meaning frames IMI-FRM read out or the meaning frame IMI-FRM synthesized to thereby determine and produce data sentence DT-S correctly expressing the meaning of the inputted natural sentence in a computer whereby the language structure information series IMF-LSL is converted into the data sentence DT-S in the form of data structure PSMW with a multi layered case-logic language structure.
Owner:ANDO SHIMON
Structured natural language query and knowledge system
ActiveUS7263517B2Data processing applicationsDigital data information retrievalRelational algebraHuman language
A structured natural language query and knowledge system is provided to allow a user who lacks programming skills to enter a database query or a rule in the form of a structured natural language sentence. The scope of the sentence is preferably defined by an improved object relational query language, an object relational algebra, or both. Command and conditions that appear in natural language form are defined with corresponding formal query texts. A user is prompted to compose a structured natural language sentence using the defined commands and conditions. The user-selected command and its arguments appear as the verb phrase of a structured natural language sentence. The user-selected conditions and their parameters appear as the adjective phrases of the sentence. The sentence is parsed and changed into a translated formal query text for formal database query and rule processing.
Owner:NEC SOLUTION INNOVATORS LTD +1
System and method for generating a target language markup language text template
ActiveUS20060100847A1Natural language translationSpecial data processing applicationsNatural language processingR language
A system and method of generating a target language markup language (ML) text template comprise translating one or more words in a source language ML text template to one or more words in the target language so as to generate a target language ML text template, and defining a target language localized template for the target language ML text template using the translated words. The method may also include adding and modifying metadata for variant text associated with a source language text string according to attributes of a target language, wherein the target language localized template is defined using the modified metadata in addition to the translated words
Owner:DAYBREAK GAME COMPANY
Method for editing image-text units based on script
ActiveCN102622215AReduce workloadReduce code modificationSpecific program execution arrangementsR languageSoftware engineering
The invention discloses a method for editing image-text units based on a script, comprising the steps of: presetting a user interface template containing configuration structure information of the image-text units; defining a script grammar rule for the set user interface template through an extensible markup language; editing a script analysis code for the defined script grammar rule; dispatching the script analysis code to edit the script grammar rule, and typesetting the image-text units in the set user interface template; and encapsulating the typeset user interface template to form script allocation file information. The method disclosed by the invention can be used for improving the software development efficiency and reducing the software maintenance cost.
Owner:TENCENT TECH (SHENZHEN) CO LTD
Augmented-word language model
A language model comprising a plurality of augmented-word n-grams and probabilities corresponding to such n-grams. Each n-gram is comprised of a sequence of augmented words. Each augmented word is comprised of the orthographic representation of the word together with a tag representing lexical information regarding the word, such as syntactic or semantic information. Also disclosed are a method of building such a language model, a method of automatically recognizing speech using the language model and a speech recognition system that employs the language model.
Owner:MICROSOFT TECH LICENSING LLC
Unification of a programming language and a definition language
InactiveUS7150010B1Powerful toolEasy programmingSoftware engineeringProgram controlLanguage constructR language
Unification of a programming language with a definition language creates a powerful tool for object-oriented programming. A programming language is extended to include definition language constructs. In a compiler environment, a compiler recognizes the definition language constructs in programming language code. The compiler environment unifies representation of the definition language information and programming language code in a unified parse tree, and derives semantic meaning from definition language information. The compiler environment also checks for lexical, syntax, and semantic errors.
Owner:MICROSOFT TECH LICENSING LLC
Deep learning-based natural language generation method
InactiveCN108563624ASolve build problemsThe hidden state vector is accurateNatural language data processingNeural architecturesR languageWord selection
The invention discloses a deep learning-based natural language generation method. The method comprises the steps of training a comment generation apparatus by using existing news and comments. The training stage comprises the following steps of S1, performing vectorization processing on words in the existing news and comments to obtain word vectors corresponding to the words in the news and word vectors corresponding to the words in the comments; S2, obtaining hidden state vectors of the words in the news; S3, obtaining hidden state vectors of the words in the comments; S4, processing the words in the comments to obtain new hidden state vectors of the words; and S5, according to the obtained new hidden state vectors of the words in the comments in the step S4, predicting the next word corresponding to each word: according to the hidden state vector of the current word, obtaining a probability of selecting each word in a word table, and selecting the word with the maximum probability asthe next word of the current word in the generated comments. According to the method, the corresponding news comments can be generated for the given news, and the accuracy of word selection in the comments is relatively high.
Owner:SHENZHEN GRADUATE SCHOOL TSINGHUA UNIV
Method and apparatus for generating acoustic models for speaker independent speech recognition of foreign words uttered by non-native speakers
Owner:OPTIS WIRELESS TECH LLC
Visualized analysis method for failure data of electric power transmission and transformation equipment
ActiveCN106055548AImprove economyUnderstand intuitiveOther databases browsing/visualisationSpecial data processing applicationsElectric power transmissionElectric power system
The invention relates to the field of failure analysis of electric power equipment and discloses a visualized analysis method for failure data of electric power transmission and transformation equipment. The visualized analysis method comprises the steps that the failure data of the electric power transmission and transformation equipment of an electric power system is collected; and the failure data is displayed by an R language analysis technology and a front-end display chart, so that visualized charts can be obtained. The visualized charts comprise a treeMap chart, a time sequence frequency chart or a variable correlation thermodynamic chart. The visualized analysis method has the advantages that comprehensive and multi-dimensional visualized data analysis is carried out to the failure data of the electric power transmission and transformation circuit equipment; different images and curves are obtained; and the overall failure data can be known visually and rapidly.
Owner:ELECTRIC POWER RES INST OF GUANGXI POWER GRID CO LTD +1
Translating method for translating a natural-language description into a computer-language description
InactiveUS20150242396A1Natural language data processingSpecial data processing applicationsR languageLookup table
A translating method for translating a natural-language description into a computer-language description includes composing a natural-language description in a natural-language, and parsing the natural-language description with a parser for translating the natural-language description into a parsed description in a computer-language according to context in the natural-language description and a lookup table.
Owner:SU JUN HUAI
System and method for generating a target language markup language text template
ActiveUS7577561B2Natural language translationSpecial data processing applicationsNatural language processingR language
Owner:DAYBREAK GAME COMPANY
Big data platform and algorithm model-based calculation method and system
ActiveCN106095391AProcessing speedRandom combinationSpecial data processing applicationsMachine execution arrangementsR languageData warehouse
The invention discloses a big data platform and algorithm model-based calculation method and system. The calculation method comprises the following steps of: storing data in a Hive data warehouse of a big data platform; putting a script file of an algorithm model on a server, wherein the script file of the algorithm model is compiled by using an R language; starting an Rserve on the server and starting remote access; connecting the Hive data warehouse with the Rserve, operating the data which is stored in the Hive data warehouse on the Rserve, and importing a calculation result in the Hive data warehouse. According to the big data platform and algorithm model-based calculation method and system, the shortage that the data processed by the big data platform cannot be directly used for algorithm model calculation in the prior art is covered; and a communication channel between the Hive data warehouse and the Rserve is established by utilizing a java language, and the data processing is combined with the algorithm model, so that the data processing and the model calculation can be freely jointed and then the data processing speed is improved.
Owner:CTRIP COMP TECH SHANGHAI
Distributed data analysis task scheduling system
InactiveCN107766147AFault-tolerantImprove playbackResource allocationDatabase distribution/replicationR languageMessage queue
Owner:SHANGHAI BAOSIGHT SOFTWARE CO LTD
Method for screening anti-androgen activity of flavonoid compounds based on molecular dynamics simulation
InactiveCN106407740ALow costSimple and fast operationSpecial data processing applicationsMolecular structuresReceptor for activated C kinase 1Molecular dynamics
The invention discloses a method for screening anti-androgen activity of flavonoid compounds based on molecular dynamics simulation. The method comprises the following steps: performing butt joint on an optimized tested flavonoid compound structure and a receptor file acquired by homology modeling, then performing molecular dynamics simulation for 20 nanoseconds by using a GROMACS software package, calculating a mean square root deviation of No.12 helix 8-20ns of a flavonoid compound receptor, importing data into a R language package, establishing a distinguishing model for the calculated standard deviation and residues, and removing inactive compounds from the compounds in a fuzzy area by inspecting the movement trajectories of the compounds in the receptor and the calculated mean square root deviation. According to the method disclosed by the invention, quantitative judgment is imported for the first time, the pre-judgment accuracy is improved by the combination of quantitativeness and qualitativeness, the distinction rate of inactive flavonoid and active flavonoid reaches 87.5%, the screening rate of the inactive flavonoid reaches 90%, the laboratory workload can be greatly reduced, the consumption of test products is reduced, resources are saved, and the prediction accuracy of QSAR can also be greatly improved, so QSAR can be really applied.
Owner:NANJING UNIV
Establishment method of data actuarial-model of flight delay insurance
PendingCN108197081ADesign optimisation/simulationComplex mathematical operationsR languageFlight delay
The invention relates to an establishment method of a data actuarial-model of flight delay insurance. The data actuarial-model of the flight delay insurance includes an initial-data preprocessing module, a data model operating module and a prediction result analysis module. The method includes the steps of: (1) preprocessing initial data; (2) determining data indexes, and carrying out calculationfor basic data and additional data of flights; (3) constructing the data model, and carrying out regression method calculation for the plurality of obtained different indexes through an R language; (4) running the data model multiple times to obtain multiple weight values, and acquiring mean values of the weight values to calculate final weight values; (5) carrying out calculation on results of the different indexes and the data model to obtain final prediction results; and (6) obtaining differences of the prediction results and actual values by comparing, and adjusting the data model to enable the data model to fit delay values of the flights and obtain more accurate prediction results. The method adopts the R language to construct the data model for the flight data indexes through a regression method, and has the characteristic of more accurate prediction.
Owner:上海敬之网络科技有限公司
System and method for transcribing audio files of various languages
ActiveUS7321852B2Digital data information retrievalNatural language data processingR languageSpeech identification
Owner:MICROSOFT TECH LICENSING LLC
Fast fusion operation method for multi-source spatial data
InactiveCN107423753AAchieve integrationEasy to operateCharacter and pattern recognitionGeographical information databasesWeight coefficientMathematical model
The invention discloses a fast fusion operation method for multi-source spatial data. The method comprises the following steps of data format conversion, data rasterization, data normalization and data fusion. Data of different formats are converted into raster data files in the NetCDF network universal data format. The R-language program design is applied, and the unified space resolution and grid coordinates are adopted for different raster data layers. The raster data of all layers are standardized, and normalized data sources at the same spatial geographic position are obtained. The resolution ratios and the spatial geographical grids of data layers different in source and format are unified. The R-language program design is applied for cutting different data layers through adopting a vector polygon in a research area, and then a polygonal data layer in the NetCDF format is obtained. According to weight coefficients corresponding to each data layer assigned by a research target, a mathematical model is built. According to the mathematical model, the numerical calculation is carried out to obtain the spatial distribution of an objective function. The method is simple to operate, rapid, efficient, wide in application range and low in cost.
Owner:XINJIANG UNIVERSITY
R language program based personalized recommendation method
InactiveCN105808648AImprove the efficiency of understanding and acceptanceIncrease loyaltyAdvertisementsSpecial data processing applicationsPersonalizationR language
The invention discloses an R language program based personalized information recommendation method. The method is characterized by comprising the specific steps of 1) connecting an R language program with an Oracle database, namely, enabling the R language program to read data in the Oracle database; and extracting the data in the database, enabling the R language program to communicate with the database, and reading the required data into the R language program; 2) preprocessing the data: unifying keyword separators; and performing word segmentation on given keywords for better extracting characteristics of each piece of information and insurance; 3) calculating characteristic weights; and 4) calculating the similarity between the information and the insurance product; and after calculating the characteristic weights, taking each characteristic as a dimension and taking a normalized weight of the characteristic as a value of the characteristic, so that each piece of the information and the insurance product form a characteristic space graph and the similarity between the information and the insurance product is a closeness degree of two space graphs.
Owner:FOCUS TECH
Multi-language correspondent list style language database and synchronous computer inter-transtation and communication
InactiveCN1553381AEnsure simultaneous conversion and inter-translationStandardization helpsSpecial data processing applicationsNatural language processingR language
In the present invention, list number is set up after multilanguage is processed with standardization 'based on one main language, the same number is for the same meaning of different language and then language code is set forit, each language is carried out language meaning comparison and analysis with main language and to set number as principle as it does before, all 'standardization sentence', language code and sentence number are inputted in computer to have language databank in list mode corresponding to multilanguage as single or double language databank in list mode is also included in it.
Owner:杨宏惠
Targeted antibacterial peptide against Gram-negative bacteria and preparation method and application
ActiveCN109232717ASimple experimental techniqueHigh application potentialAntibacterial agentsPeptide/protein ingredientsStatistical analysisCytotoxicity
The invention provides a targeted antibacterial peptide against Gram-negative bacteria and a preparation method and an application. A sequence of the targeted antibacterial peptide is as shown in a sequence table SEQ ID No. 1, and in the preparation method, an R language is utilized for statistical analysis of amino acid sequence characteristics of a natural antimicrobial peptide library, variouspeptide chain parameters affecting antibacterial activity of a peptide chain having the antibacterial activity only against Gram-negative bacteria are statistically analyzed, and the optimal amino acid composition is obtained by screening, namely K, G, L, with the number of positive charges being 4, and the hydrophobicity being 30%-50%. Tryptophan is inserted into the center of a screening sequence to obtain a centrally symmetric short peptide sequence through design, so as to obtain a short-chain narrow-spectrum antibacterial peptide sequence which is low in toxicity and highly effective, andnot easy to cause disorder of immune regulation in a body. The targeted antibacterial peptide is beneficial to maintaining micro-ecological balance while killing harmful bacteria. The antibacterial peptide has relatively high activity, high stability, relatively low cytotoxicity, and substitute antibiotics, thereby having an application potential for becoming a safer and environmentally-friendlynovel antibacterial product.
Owner:NORTHEAST AGRICULTURAL UNIVERSITY
Visualized analysis method based on industry data
InactiveCN104699802AClear formEfficient analysis speedStructured data retrievalSpecial data processing applicationsR languageData matching
The invention discloses a visualized analysis method based on industry data. The visualized analysis method includes capturing the industry data on the internet, performing integrated analysis on the industry data and industry internal organization data, performing internet data arrangement, and by the aid of the R-language analysis technology and front-end display charts, displaying the data in terms of different dimensionalities according to industry requirements. Compared with the prior art, the visualized analysis method based on the industry data has the advantages of capabilities of classifying the data effectively, filtering useless data and expressing forms clearly and high analysis speed, and the problem about data match due to the fact that in spite of desiring to know dynamic market change, improve service quality, increase goal achievement rate and the like, existing enterprises in many industries cannot display and analyze the internet data through visualized interfaces and cannot combine the internet data with own industry internal organization data is solved.
Owner:INSPUR GROUP CO LTD
System for evaluating sex hormone metabolic status of individuals to be detected
ActiveCN106353514AImprove complianceThe detection method is simpleBiological testingR languageMetabolite
Owner:南京精全生物医药科技有限公司
R-language processing method for novel traffic distribution and traffic flow allocation combination model
The invention provides a novel traffic distribution and traffic allocation combination model considering traveler destination preferences. According to the model, a solving algorithm is provided, andan R-language is used for processing. In order to fully reflect the decision of a traveler in travel distribution, the traveler destination preferences playing an important role in destination selection are considered; and according to a given traffic demand and traffic network information, a stable system balance solution can be quickly obtained through software, wherein the balance solution is more approximate to a real travel decision behavior compared with a traditional method. Main steps include that (1) a travel distribution model considering the traveler preferences is established; (2)a travel allocation model under user balance is established; (3) a simplified four-stage model with feedback is established; (4) an iterative weighting method (MSA) with a constant weight is adopted to perform model solving; (5) an R-language program is designed to realize a solving method; and (6) a specific execution mode is described in combination with a Nguyen-Dupuis network frequently used in traffic network analysis.
Owner:SOUTHEAST UNIV
Providing a description of aircraft intent
InactiveUS20130317671A1Maximising payload weightFuel consumption is minimizedAircraft controlDigital data processing detailsR languageDegrees of freedom
The present disclosure provides a computer-implemented method of generating a description of aircraft intent expressed in a formal language that provides an unambiguous description of an aircraft's intended motion and configuration during a period of flight. A description of flight intent is parsed to provide instances of flight intent, each instance of flight intent spanning a flight segment. For each flight segment, an associated flight segment description is generated that comprises one or more instances of flight intent that describe the aircraft's motion in at least one degree of freedom of motion. Flight segment descriptions are compared with constraints and / or objectives and the associated flight segment descriptions are enriched with information describing relevant constraints and / or objectives. The enriched flight intent is converted into aircraft intent by ensuring that the flight segment descriptions close all degrees of freedom of the aircraft during the period of flight.
Owner:THE BOEING CO
R language-based optimal extraction technology for extracting saponin and total flavonoids in liquorice
InactiveCN106511448ASimple extraction processGood extraction processBiological neural network modelsGenetic algorithmsMathematical modelEntropy weight method
The invention discloses an R language-based optimal extraction technology for extracting saponin and total flavonoids in liquorice. A central composite design experiment in a response surface method is adopted, the saponin content and flavone content in liquorice are used as detection indexes, and an entropy weight method in an R language environment is adopted for weight assignment of the two indexes, a BP neural network and genetic algorithm mathematical model is established, and target optimizing is performed for the extraction technology to obtain an optimal extraction technology. The optimal extraction conditions are as follows: the ammonia concentration is 0.62%, the ethanol concentration is 64%, the reflux time is 1.8h, and the liquid-solid ratio is 12:1. Relative error between the comprehensive evaluation predicted value of the model and the average comprehensive evaluation value of a verification experiment is 1.43%, proving relatively good predictability of the neutral network and genetic algorithm. In the invention, the established mathematical model searching for the optimal extraction conditions for extracting saponin and total flavonoids in liquorice is scientific and feasible, and new reference and idea are provided for optimizing multiple targets of the chemical components and even effective substance basis of traditional Chinese medicine.
Owner:ZHEJIANG CHINESE MEDICAL UNIVERSITY
Data processing method based on predictive maintenance of industrial equipment
The embodiment of the invention provides a data processing method based on the predictive maintenance of industrial equipment. The data processing method comprises the following steps: establishing a Hadoop framework-based storage platform, wherein the Hadoop framework-based storage platform comprises an HBase database for storing mass equipment data; establishing an R language-based analysis platform, wherein the R language-based analysis platform is used for analyzing the equipment data in the HBase database; and creating a Hadoop interface program, wherein the Hadoop interface program is used for providing a port for storing business data into the HBase database of the Hadoop framework-based storage platform in a specified format and enabling the R language-based analysis platform to read the equipment data in the Hadoop framework-based storage platform. According to the technical scheme, a data analysis technique based on a Hadoop+R language platform is provided.
Owner:BEIJING XJ ELECTRIC +1
System for supporting multiple languages in webtoons
InactiveUS20160328389A1Natural language translationCharacter and pattern recognitionSoftware engineeringWorld Wide Web
A multiple language support system includes a server system and a client system, wherein the server system inserts a 2-dimensional barcode, including dialog text and narration text in multiple languages and position information of areas in which the text is to be written, into a webtoon image, and the client system interprets the 2-dimensional barcode, generates a text layer comprising dialog text and narration text in a language selected by a user, and displays the combination of the webtoon image and the text layer. The multiple language support system includes a text information generation unit for generating text information including text and position information about the text, a text code image generation unit for generating a text code image by converting the text information into a 2-dimensional barcode, and an image synthesis unit for generating multilingual webtoon content by combining the webtoon image with the text code image.
Owner:TOPCOMICS
Who we serve
- R&D Engineer
- R&D Manager
- IP Professional
Why Patsnap Eureka
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com