35 results about "Composite index" patented technology

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.

Systems and methods are disclosed that utilize a genetic algorithm to search for an index configuration for a collection of data such as, e.g., a database. Genetic algorithms can include stochastic search heuristics that mimic processes of natural evolution including inheritance, mutation, crossover, and selection. A population of chromosomes representing candidate index configurations can evolve to increase or optimize the fitness of the population and to identify the best (e.g., most fit) index configuration. Fitness of a chromosome may be measured based at least in part on the cost of computer resources used for executing Structured Query Language (SQL) statements in the indexed database. In various implementations, virtual indexing may be used to simulate building an index, chromosomes may be encoded using non-bitmapped representations of index configurations, chromosomes may include genes representing a column in a table in a database, dropping an index from a table in a database, or a composite index for a database, and/or a participation pool may be used to select fitter genes for an initial population of chromosomes.

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.

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.

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.

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.

The invention provides a method for monitoring a composite index of geographical national conditions, which comprises the following steps: selecting construction components of the composite index of the geographical national conditions; confirming the weighted value and establishing the influence degree of each component on the composite condition of the geographical national conditions; monitoring the composite index of the geographical national conditions; estimating the composite condition of the geographical national conditions; and providing an indicating and monitoring method for quantitative evaluation on the composite condition of the geographical national conditions so as to avoid objectivity and uncertain factors of man-made estimation. The method for monitoring the composite index of the geographical national conditions is simple, is strong in comprehensiveness and objectivity, is suitable for objective, comprehensive and quantitative evaluation on the condition of national geographical national conditions or regional geographical national conditions, and can be used for providing scientific data support for decisions.

The invention discloses a judgment method for stubborn variant of parallel program. The method is characterized by comprising the following steps: performing equivalence class division on an execution sequence of sending nodes of variation statements according to execution conditions of the variation statements; determining intractable factors influencing the variants; calculating intractable composite indexes of the variants according to factors influencing the intractable variants and in combination with the influence of the execution sequence of the sending nodes subjected to equivalence class division on the factors; and setting a threshold value, and comparing the threshold value with the intractable composite index to complete judgment of the intractable variant. The concepts of the parallel programs are combined with the variation test principle, the stubborn variants of the parallel programs are screened out according to the relation between the execution sequence of the sending nodes and the intractable factors influencing the variants, the stubborn variants are emphatically tested, and then the test efficiency is improved.

The invention discloses a power distribution network fault monitoring device installation position determination method and system. The method comprises the following steps: carrying out matrix standardization processing on an SCADA data set of the fault monitoring device; performing singular value decomposition processing on the standardized data matrix; calculating a covariance matrix of the data set; calculating a composite index and a composite index threshold; determining the installation position of the fault monitoring device according to whether the composite index is within the composite index threshold range. The method achieves the recognition of the sensitive position of the power distribution network to the state change, and achieves the optimal determination and effective recognition of the installation position of the fault monitoring device of the power distribution network.

The invention discloses an intelligent data index management method. The method comprises the following steps of 1, creating a data model through a data set, a dimension set and a measurement set; 2, on the basis of the data model, constructing basic data indexes by defining various attributes of the data indexes; 3, after the basic indexes are constructed, whether the indexes need to be expanded or not is judged, if expansion is not needed, the next step is directly continued, and if expansion is needed, the next step is continued after production related indexes are expanded; and 4, combining a plurality of different basic indexes by adopting a calculation formula to form a brand new composite index. According to the intelligent data index management method, the creation and maintenance process of the associated data indexes can be effectively simplified, and the visual tracking of the relationship between the data indexes is realized.

A system and method for providing a liability temperature measure based on a time-dependent, composite indexing parameter. Measurement parameters assigned to parameterized liability risk drivers are measured for generating the measured time-dependent, composite indexing parameter. The used liability risk drivers are selected based on their impact to the measured variable composite index parameter and dynamically normalized to each other. The normalization is based on a defined transformation applied to the final time series of the parameters providing individual set weights. Based on the weighted liability risk drivers and sets of liability risk drivers, a minimum number of liability risk drivers in relation to maximized statistical significance is selected by applying an index assembly and validation unit. The index assembly and validation unit provides the minimum number of liability risk drivers as a reduced set of liability risk drivers out of all available liability risk drivers using best fit characteristics.

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.

The invention provides a compiling method and system of an optional index, the method comprising the steps of defining a range of optional shares; defining valid click range; collecting effective click data of user-selected stocks; calculating a daily attention degree of a user-selected stock according to the daily effective click data summation; taking the user-selected shares as constituent shares, and calculating the component equity weight according to the daily attention degree; defining the base value of the optional shares; based on the Shanghai composite index and the component equity,recalculating the daily optional index and further combining the daily optional index with the historical daily optional index to compose the daily K-line. As a personalized stock index, that stock index is relate to each user who has stock option, and an analysis index and an analysis method aim at the stock options of users are added to the Shanghai and Shenzhen A-share markets; big data computing, user personalization analysis, financial market analysis and other technical methods in different areas are effectively integrated, and a user-selected index extension of the business model can be created.

The embodiment of the invention discloses an index query method and device based on a syntax tree, a medium and electronic equipment. The method comprises the following steps: receiving an SQL (Structured Query Language) query statement transmitted by a target platform; extracting incoming parameters of the SQL query statement through a standard interface, assembling the incoming parameters into syntax tree parameters, and generating a syntax tree to be processed; calling the information of the to-be-processed syntax tree, and determining a query index corresponding to the information of the to-be-processed syntax tree as a predefined simple index and/or a composite index; and according to the simple index translation result and/or the composite index translation result, assembling and generating a query syntax tree to query a target database, and returning a result to the target platform. Through the technical scheme, a non-research and non-development user can directly query only by defining on an interface, so that time is saved for the user to analyze, and the utilization rate of data is improved.

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.

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.

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.