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35 results about "Composite index" patented technology

A database composite index or multi-column index is an index that is based on several columns.

Composite index method and device

An embodiment of the invention discloses a composite index method and a device. The method is implemented by the following steps of obtaining to-be-detected keys and carrying out Hash computation on the to-be-detected keys to obtain combined Hash codes; moving the combined Hash codes a set bit to the right to obtain labels of the to-be-detected keys; carrying out copy and vectorization processing on the labels of the to-be-detected keys with a bit wide of single-instruction multiple-data stream as reference so as to obtain label vectors of the to-be-detected keys; comparing index key vectors with the label vectors of the to-be-detected keys by group through a comparison order of the single-instruction multiple-data stream; and determining whether detection is successful according to the comparison result, and returning tuple objects in index addresses of the to-be-detected keys if detection is successful. A plurality of data items can be compared at each time through parallel detection based on SIMD (Single Instruction Multiple Data), so that the performance cost brought by searching loop is reduced and multiple computations of a Hash function are avoided; the labels of the to-be-detected keys belong to Cuckoo Hashing of partial keys and can be used for reducing the space cost of a Hash table.
Owner:HUAWEI TECH CO LTD

Method for establishing massive ID mapping relation

The invention discloses a method for establishing a mass ID mapping relation. The method for establishing the mass ID mapping relation comprises the following steps: (1) selecting a corresponding block according to a main key identification code in a mapping relation A; (2) judging whether the current block has the mapping relation, executing the step (3) if the current block has the mapping relation, and executing the step (5) if the current block has no mapping relation; (3) reading a mapping relation B stored in ahead of the main key identification code; (4) judging whether the mapping relation B contains the mapping relation A, executing the step (5) if the mapping relation B contains the mapping relation A, and executing the step (7) if the mapping relation B does not contain the mapping relation A; (5) updating a whole memory index; (6) writing mapping data into a magnetic disk; and (7) inserting the successful mapping relation. By virtue of the method for establishing the mass ID mapping relation, a single computer can support at most 1B groups of mapping relations; the memory capability is expanded by a multistage composite index; the query performance is improved; the mapping relation can be recorded by the magnetic disk in a partitioning area; the mapping relation can be inquired by any ID by virtue of the whole memory index.
Owner:JINGZAN ADVERTISING SHANGHAI CO LTD

real-time dynamic data management system based on HBase

The invention provides a real-time dynamic data management system based on HBase. The real-time dynamic data management system comprises data reading optimization, a composite index mechanism and parallel query optimization. According to the invention, a persistent data storage mechanism based on HDFS and HBase is designed, so that the problem of mass storage of multi-structure data is solved; a composite index storage model is designed based on an HBase table structure, and realizing mapping management of index cache addresses and index table design of cache data storage; queue division is performed on the data based on a multi-source buffer area structure to realize parallel storage, and the concurrent writing pressure of mass data is relieved by combining strategies such as a consistency hash algorithm, a multi-thread technology, a line key optimization design and the like; And a multi-query parallel mechanism is designed based on an HBase query real execution module and a multi-line technology, so that the query speed is increased. According to the real-time dynamic data management system based on the HBase, the data writing and reading performance is effectively improved, theproblem of mass storage of multi-structured data is solved, and the high-dynamic and real-time environmental requirements are met.
Owner:CHINA UNIV OF PETROLEUM (EAST CHINA)

Knowledge graph construction method and device for crop variety management

The invention provides a crop variety management-oriented knowledge graph construction method and device. The method comprises the steps of constructing a field ontology of crop variety management according to a subject term dictionary of crop variety management; according to the domain ontology, obtaining corresponding crop variety management data, and performing knowledge extraction on the variety management data; expressing the extracted knowledge by adopting a triple, and establishing a composite index; expanding the triple through knowledge reasoning; and according to the user interest characteristics, the user input behavior characteristics and the browsing behavior characteristics, searching the triple data set based on the composite index, and generating different knowledge graph data display interfaces for each user. According to the method, the manual participation degree in the knowledge graph construction process is reduced, the automatic construction level is improved, the problems of low efficiency, low automation degree, poor expansibility and the like in the crop variety management knowledge graph construction process are solved, and a visual and convenient knowledge organization, management and display mode is provided.
Owner:北京市农林科学院信息技术研究中心

Trend prediction method for degradation state of key parts of rotary machine

The invention discloses a trend prediction method for degradation state of key parts of a rotary machine comprising the following steps: S1, collecting vibration signals in a certain time period at acertain rotating speed of the rotary machine based on equal interval time, and denoising the vibration signals; S2, calculating the average permutation entropy and nonlinearity of the vibration signalsequence according to the obtained vibration signal sequence, and forming a composite index time sequence; s3, fitting the composite exponential time sequence by adopting a nonlinear exponential function, and extracting to obtain a fitting function model; S4, subtracting a corresponding value on the fitting function model from the composite exponential time sequence to obtain a residual time sequence, and performing identification and residual prediction on the residual time sequence by adopting an extreme learning machine model; and S5, combining the fitting function model and the extreme learning machine to form a hybrid extreme learning machine prediction model, and realizing rotary machine degradation trend prediction. The invention can predict the degradation state of the key parts of the rotary machine, and is high in calculation speed and good in prediction effect.
Owner:HUNAN UNIV OF SCI & TECH

Report generation method and system, computer equipment and storage medium

The invention relates to the technical field of data analysis, and provides a report generation method and system, computer equipment and a storage medium. The report generation method comprises the following steps: obtaining an initial header with an index region and a dimension region; in response to a configuration operation of the index region, merging category cells of a target index according to a configured index classification structure, and generating a composite index; performing overlapping verification on the dimensions associated with the target indexes to generate a dimension set commonly associated with the composite indexes; generating a target dimension in response to a configuration operation of the dimension region based on the dimension set; and generating an initial report with a composite header according to the composite index and the target dimension. According to the method and the device, flexible configuration of indexes / dimensions is supported, the composite header can be automatically generated according to user requirements, the data export requirements of a user on multi-index / multi-dimension combinations are met, meanwhile, data validity verification can be carried out based on the index and dimension combinations, and the report generation efficiency is improved.
Owner:YIDU CLOUD (BEIJING) TECH CO LTD

Data processing method, device and equipment for power grid index report

PendingCN114881508ASolve the problem of unable to exchange dataSolve problems such as management difficultiesResourcesInformation technology support systemService domainPower grid
The invention discloses a data processing method, device and equipment for a power grid index report, and the method comprises the steps: collecting an operation report of power grid services, and obtaining a calculation rule between indexes in each power grid service; and according to a preset division rule, dividing all indexes in the operation report into composite indexes, derivative indexes and atomic indexes. And according to different application scenes of the service, establishing service models corresponding to different service domains. And according to the service rules and the service application ranges corresponding to the service domains, combining the calculation rules between the indexes, and associating the composite indexes, the derivative indexes and the atomic indexes for the service domain models respectively. Responding to the index operation of the user on the to-be-processed business domain, and outputting index data corresponding to the index operation. By adopting the method provided by the invention, the problem that different business domains cannot communicate smoothly due to the lack of unified data processing of the index report in the original power grid index management system can be solved.
Owner:CHINA ENERGY ENG GRP GUANGDONG ELECTRIC POWER DESIGN INST CO LTD

Method and device for constructing knowledge graph for crop variety management

The invention provides a method and device for constructing a knowledge graph for crop variety management. The method includes: constructing a field ontology for crop variety management according to a subject word dictionary for crop variety management; acquiring corresponding crop variety management data according to the field ontology, and Knowledge extraction is performed on the variety management data; the extracted knowledge is represented by triples, and a composite index is established; the triples are expanded through knowledge reasoning; according to user interest characteristics, user input behavior characteristics and browsing behavior characteristics, The compound index searches the triplet data set, and generates a different knowledge graph data display interface for each user. The method reduces the degree of manual participation in the process of knowledge graph construction, improves the level of automated construction, helps to solve the problems of low efficiency, low degree of automation, and poor scalability in the construction of knowledge graphs for crop variety management, and provides intuitive and convenient knowledge organization, management and presentation.
Owner:北京市农林科学院信息技术研究中心

Forecasting method, device, equipment and medium for predicting return rate based on capital flow

The invention discloses a forecasting method, device, equipment and medium based on capital flow forecasting rate of return. The forecasting method includes: acquiring sampled macro-fund flow variables and the monthly data sequence of the return rate of the Shanghai Stock Exchange Index. The macro-fund flow variables include money supply and Bank overnight lending rate; carry out unit root test on the monthly data sequence, and determine whether the unit root characteristic of the monthly data sequence after the unit root test meets the grace condition of the multivariate cointegration test; the unit root characteristic is that the monthly data sequence is N i Order integrated sequence, N i ≥0; when the unit root characteristics meet the grace conditions of the multivariate cointegration test, the Johansen maximum likelihood estimation method is used to determine the co-integration relationship between the monthly data series of the macro-fund flow variable and the monthly data series of the Shanghai Stock Exchange index yield; according to The VECM model established based on the co-integration relationship predicts the return rate of the Shanghai stock index. The forecasting method of the invention fills in the gap that there is still a lack of macro capital flow indicators to forecast the Chinese stock index.
Owner:JINAN UNIVERSITY

Interactive financial quantitative index acquisition method, device and system

PendingCN111461895AImplement parallel computingRealize the function of parallel computingFinanceConcurrent computationData mining
The invention provides an interactive financial quantitative index obtaining method, device and system, and the method comprises the steps: extracting basic metadata from obtained financial data, anddetermining the related information of financial basic indexes according to the basic metadata; determining financial basic indexes required by the financial composite indexes and basic metadata on which the financial basic indexes depend according to the basic metadata and the related information of the financial basic indexes; and obtaining the financial quantitative index according to the related information, the financial basic index required by the financial composite index and the basic metadata on which the financial basic index depends. According to the method, the financial data is layered and divided into four layers including the basic metadata, the basic data, the basic indexes and the composite indexes, so that the parallel computing function of the financial data at the samelayer is realized. The method has the characteristics of being friendly to operate, traceable in intermediate data and capable of achieving parallel computing, and can be conveniently integrated witha service system.
Owner:CHINA CONSTRUCTION BANK

Multi-dimensional track network scale prediction method based on composite variable index

The invention discloses a multi-dimensional track network scale prediction method based on composite variable indexes. Existing track network indexes of various medium-scale cities are analyzed, variables with large correlation are selected, index correlation analysis is carried out, then composite index variables are extracted, and finally a multi-dimensional prediction model is constructed to predict the network scale. The method can optimize and guide the prediction and evaluation of the scale of the rail network in the medium-scale urban rail network planning, and provides a technical basis for the network planning.
Owner:SHANGHAI MUNICIPAL ENG DESIGN INST GRP

DTO-based custom index configuration method, system and device, and medium

InactiveCN111949692AQuick configurationQuick configuration function, in the indicator configurationDigital data information retrievalSpecial data processing applicationsData setFiltering rules
The invention provides a DTO-based custom index configuration method, system and device and a medium. The method comprises the steps of constructing a data model containing different meaning fields; mapping the in-hospital data of various different formats to the data model according to a predefined structuralization rule so as to extract the in-hospital data in the data model according to the structuralization rule; and setting a filtering rule or a calculation rule in a preset index custom configuration page according to the business requirements, so as to extract real-time hospital data corresponding to the custom indexes for a front-end page to perform corresponding statistical display. A large amount of repeated assignment and manual calculation of composite indexes in a semantic layer data set link can be avoided, and data is changed into a module, so that data object mapping exhibits higher flexibility, quick configuration of the indexes is realized, the development efficiency is effectively improved, and an index configuration flow is optimized.
Owner:合肥森亿智能科技有限公司
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