Patents
Literature
Patsnap Copilot is an intelligent assistant for R&D personnel, combined with Patent DNA, to facilitate innovative research.
Patsnap Copilot

205 results about "Information index" patented technology

Density evolution based polarization code constructing method and polarization code coding and decoding system

The invention discloses a density evolution based polarization code constructing method and polarization code coding and decoding system. According to the invention, the code length N and the information bit length K of an information code to be processed are obtained, an expectation value set of a log-likelihood ratio probability density function of N bit channels, K bit channels are selected as the information bit channels according to the expectation value set and information bit information index vector quantity is generated; an information bit sequence and a fixed bit sequence are mixed and the mixed bit vector quantity is multiplied by a polarization code for generating a matrix so as to output an encoding sequence; the encoding sequence is modulated and input into a transmission channel and the sequence output by the transmission channel is subjected to decoding operation by adopting a polarization code decoding algorithm, bit error probability and frame error rate of the decoded code are calculated and a design signal to noise ratio is changed, the above operation is repeated until the bit error probability and frame error rate become the minimum. The method and system provided by the invention are suitable for general binary system memoryless channels, the bit error probability and frame error rate are low, the calculation complexity is low and the communication performance of a communication system is improved.
Owner:SHENZHEN UNIV

Keyword based evaluation expert intelligent search and recommendation method

The invention discloses a keyword based evaluation expert intelligent search and recommendation method. The keyword based evaluation expert intelligent search and recommendation method specifically comprises step 1, segmenting an expert information main text into substring sequences, performing ICTCLAS word segmentation of Chinese academy of sciences and performing stop word filtering on the result of the word segmentation to obtain the word collection; step 2, extracting feature words of the expert information according to fields; step 3, building an expert knowledge representation model based on the fields and the weight of the feature words and establishing an expert information index database; step 4, performing automatic prompting according to a search term thesaurus when a user inputs keywords and meanwhile performing real-time update on the search term thesaurus through a search term counter; step 5, calculating the search relevance between the keywords and the expert information based on the semantic information and the like; step 6, listing relevant experts from high to low according to the matching degree. According to the keyword based evaluation expert intelligent search and recommendation method, the intelligent full-text search and recommendation of the expert information can be achieved through the keyword input and accordingly the experts which are matched with a pended science and technology project can be searched out accurately.
Owner:HANGZHOU DIANZI UNIV

Intelligent review expert recommending method for science and technology projects

The invention provides an intelligent review expert recommending method for science and technology projects. The method includes the following steps that (1) the science and technology projects to be reviewed and expert information main texts are segmented into substring sequences, ICTCLAS segmentation of Chinese academy of sciences is carried out on the substring sequences, and stop word filtering is carried out on a segmentation result to obtain a term set; (2) a term network of project information is built, feature words are extracted on the basis of statistical characteristics and aggregation characteristics, and if expert information is relatively concise, the term set obtained in the step (1) directly serves as the feature words; (3) a knowledge representation model is built on the basis of fields and weights of the feature words, and a relative information index is built; (4) experts are recommended in groups to carry out feature merging operations between the fields and between the projects on the knowledge representation model; (5) similarity of the experts and the science and technology projects or groups to be viewed is calculated on the basis of semantics, threshold truncation is set, and a final recommended expert list is generated. By means of the method, the problems that recommending workload is large and review decisions lack scientificity are greatly alleviated.
Owner:HANGZHOU DIANZI UNIV

Microblog-oriented emotion entity searching system

The invention relates to a microblog-oriented emotion entity searching system. The emotion entity searching system comprises a user interface (1), a query expansion module (2), a query processing module (3), an emotive information mining module (4), an emotive information judging and index building module (5) and a reverse index building module (6). The user interface (1) is used for interaction between a user and the system, and the user can submit a query request through the user interface and obtain a feedback result; the query expansion module (2) is used for carrying out word relation mining on microblog corpus data and building a weighting word relation graph in combination with a WordNet ontology base; the query processing module (3) is used for converting the query request of the user into query key words or query statements and for carrying out query expansion on the basis of the word relation graph built by the query expansion module (2), wherein the query key words or the query statements can be accepted by an index base; the emotive information mining module (4) is used for performing emotion mining on the microblog corpus base and generating a judging rule for emotion entities and emotion polarities; the emotive information judging and index building module (5) is used for judging the emotion entities and emotion polarities, building an emotive information index and storing the emotive information index; the reverse index building module (6) is used for building a reverse index for microblog text information and storing the reverse index. The microblog-oriented emotion entity searching system solves the problems that difficulty exists in microblog emotion entity extraction, emotion polarity analysis, emotion entity search and the like, and a novel intelligent searching product is provided for analyzing and monitoring social networking public opinions.
Owner:FOSHAN UNIVERSITY +2

Distributed small file storage system based on UDP (User Datagram Protocol) and data processing method thereof

The invention discloses a distributed small file storage system based on UDP (User Datagram Protocol) and a data processing method thereof. The system comprises a first server, a second server, a third server, a fourth server and a fifth server, wherein the first server comprises an external server and a service monitoring server; the second server comprises a global naming server and a service monitoring server; the third server comprises an information index library server and a service monitoring server; the fourth server comprises a task managing server and a service monitoring server; the fifth server comprises a storing server and a service monitoring server; and the first server, the second server, the third server, the fourth server and the fifth server mutually transfer and process data through a UDP refitting protocol. The system can enhance the concurrent ability and the high-speed I/O (Input/Output) ability of the whole platform, and solve the problems of high-capacity storage and load balance by utilizing the UDP refitting protocol as a communication protocol of an interior server, and is especially suitable for the online services taking files as carriers.
Owner:厦门市美亚柏科信息安全研究所有限公司

Multidimensional information fusion-based comprehensive e-commerce product scoring method

The invention discloses a multidimensional information fusion-based comprehensive e-commerce product scoring method. The method comprises the following steps of: obtaining multidimensional informationsuch as shop information, sales volume information and comment text information of e-commerce products; data preprocessing: carrying out data cleaning and data conversion on numerical type data, andcarrying out word segmentation and part-of-speech tagging on comment texts; mining the multidimensional information: carrying out data reduction and principal component regression analysis on the shopinformation and the commodity sales volume information to obtain shop information indexes and commodity sales volume indexes, carrying out emotion analysis on the comment texts, and obtaining a product feature score radar map through a quantification method and a clustering method; and commodity total score calculation: designing a fusion function and calculating a commodity total score. The method can be applied to commodity information-based commodity recommendation systems, is capable of efficiently and conveniently recognizing high-quality commodities so as to ensure that the designed recommendation systems are more rapid and correct.
Owner:CHINA JILIANG UNIV

Method for breakpoint continuous transmission of reliable file acceptance (receiving) system based on unidirectional broadcasting network

The invention discloses a method for resuming transmission from a break-point for a reliable file receiving system on the basis of a unidirectional broadcast network, which comprises the following steps: firstly, slicing files to be transmitted according to the fixed size; secondly, attaching offset information and check information to each sliced file; thirdly, submitting a combined application data unit to a reliable multicast layer to split the application data unit into data blocks at the layer; fourthly, coding the data blocks so as to generate corresponding redundant data blocks; and fifthly, transmitting all the data blocks in a scrambled mode by a file transmission service terminal. When a user terminal receives the file, an information index file of the file is created for recording the receiving situation of the file data blocks. When the file receiving is resumed after break, information record files are checked to determine whether the transmission of the file needs to be resumed, and the transmission of the file is resumed according to the attached information. By adopting the method, the file can be received continuously from the break-point and the redundant and time-consuming write operation is skipped over to reduce writing times of a disk to protect the disk, thus the aims of reducing the I / O times and the CPU occupancy rate and saving hardware resource of a receiving end is achieved.
Owner:ZHEJIANG UNIV

Deep uranium mineralization information detection method

The invention belongs to the technical field of uranium resource prospecting methods, and particularly relates to a method capable of effectively detecting deep uranium mineralization information. The method comprises the following steps of (1) setting measuring points in a working area, placing an activated carbon detector on the ground at each measuring point, simultaneously digging a round pit in the ground at each measuring point, and burying an activated carbon detector in each round pit; (2) taking out the ground and underground activated carbon detectors at each measuring point, and measuring radon concentration values on the ground and at an underground depth h; (3) calculating a perpendicular change gradient value G of radon concentration at each measuring point; (4) calculating a radon concentration value at a burial depth of 40cm at each measuring point; (5) calculating a mineralization information index Ei corresponding to an ith measuring point; (6) identifying advantageous areas for deep uranium mineralization by adopting a concentration and frequency fractal method; (7) determining areas with mineralization information indexes E greater than pm as the advantageous areas for uranium mineralization according to identifiers, determined by the step (6), of the advantageous areas for uranium mineralization.
Owner:BEIJING RES INST OF URANIUM GEOLOGY

Agricultural specialist information retrieval system and method on basis of agricultural technology information ontology library

The invention discloses an agricultural specialist information retrieval system and method on the basis of an agricultural technology information ontology library. The method comprises the steps of acquiring agricultural technical inquiry statements of a natural language form; performing word segmentation treatment on the inquire statements of natural languages and performing information extraction of region and field so as to obtain search keywords; judging whether vocabularies related to an ontology semantic concept exist or not in the search keywords according to a preset agricultural technology information ontology library; when judging that the vocabularies related to the ontology semantic concept exist in the search keywords, performing ontology semantic extension on the search keywords according to the preset agricultural technology information ontology library so as to obtain an ontology semantic extension set; accessing a preset specialist information index database according to the ontology semantic extension set and performing specialist information retrieval so as to generate a specialist information retrieval result. According to concrete demands, specific field and region information is extracted from the retrieve information, and the matching degree of information to be retrieved and specialist information is improved.
Owner:BEIJING RES CENT FOR INFORMATION TECH & AGRI

SOA-based comprehensive enterprise level information system operation and maintenance management method

InactiveCN104156822AAchieve separationUnify the data formatResourcesWeb serviceInformation index
The invention provides an SOA-based comprehensive enterprise level information system operation and maintenance management method. The method comprises steps: modular system integration is carried out; functions of the system are packaged to services; an information index early warning threshold is made; system operation, service data integration, cleaning and relevance are carried out; acquired data are judged whether to exceed the early warning threshold; and early warning threshold is carried out. Heterogeneous information system integration is realized based on an SOA architecture, the effective integration problem of operation and maintenance work by the information system is solved, the operation and maintenance ability of the information system is enhanced fully, and lean resource configuration of the information system is realized via a comprehensive monitoring mode. With the help of the prior EBS service bus, the Web service, XML and other technical means, separation of business and service is realized, data cleaning and escape rules are made, the data format of the heterogeneous information system is unified, message interaction barriers are eliminated, and according to the pre-defined early warning information and the key index decision making model, system operation and business operation situations are analyzed, and decision making basis is provided for operation and maintenance management and business services.
Owner:STATE GRID CORP OF CHINA +1
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products