107 results about "Index selection" patented technology

An index selection mechanism allows for efficient generation of index recommendations for a given workload of a database system. The workload includes a set of queries that are used to access tables in a database system. The index recommendations are validated to verify improved performance, followed by application of the indexes. Graphical user interface screens are provided to receive user input as well as to present reports to the user.

A method codes pictures in a bitstream, wherein the bitstream includes coded pictures to obtain data for associated TUs and data for generating a transform tree, and a partitioning of coding units (CUs) into Prediction Units (PUs), and data for obtaining prediction modes or directions associated with each PU. One or more mapping tables are defined, wherein each row of each table has an associated index and a first set of transform types to be used for applying an inverse transformation to the data in TU. The first set of transform types is selected according to an index, and then a second set of transform types is applied as the inverse transformation to the data, wherein the second set of transform types is determined according to the first set of transform types and a transform-toggle flag (ttf) to obtain a reconstructed prediction residual.

A computer performed method models a spatial index having n spatial regions defined in a multidimensional space using a tree-based model representing an infinite number of arrangements of n spatial regions in the multidimensional space allowable by the spatial index using a finite number of tree representations, computes an average retrieval complexity measure for content retrieval using the spatial index based on the tree based model, and provides a spatial index recommendation based on the average retrieval complexity measure. In some embodiments a spatial index selection module selects the spatial index based on average retrieval complexity measures for candidate spatial indices that are functionally dependent upon a number of spatial regions to be defined by the spatial index.

Relational database applications such as index selection, histogram tuning, approximate query processing, and statistics selection have recognized the importance of leveraging workloads. Often these applications are presented with large workloads, i.e., a set of SQL DML statements, as input. A key factor affecting the scalability of such applications is the size of the workload. The invention concerns workload compression which helps improve the scalability of such applications. The exemplary embodiment is broadly applicable to a variety of workload-driven applications, while allowing for incorporation of application specific knowledge. The process is described in detail in the context of two workload-driven applications: index selection and approximate query processing.

The invention discloses a rolling bearing fault identification and trend prediction method, belonging to the field of rotating machinery fault diagnosis. The method comprises a step of obtaining the vibration signals of a bearing in normal and fault conditions as original signals, a step of using EMD to decompose the original signals into a finite number of IMF components, a step of selecting typical IMF components according to correlation analysis and summing the components to obtain a recombination signal, a step of using an FK algorithm to process the recombination signal, automatically obtaining an optimal center frequency and bandwidth for envelope analysis, extracting a fault characteristic frequency, and thus realizing fault type identification, and a step of selecting the energy percentage of an IMF component with a largest correlation coefficient with the original signals as a fault degree evaluation index. The method is simple and effective, the SNR can be effectively improved, the accurate identification of a fault type is helped, the fault degree evaluation index selection is reasonable, the fault development trend can be effectively reflected, and the method has a large application value for bearing state monitoring and fault evaluation.

The invention belongs to the radar technology field and the signal processing field, and relates to application of a multiple input multiple output (MIMO) type system, in particular to an MIMO radar sparse imaging algorithm based on a hybrid matching pursuit algorithm. The MIMO radar sparse imaging algorithm comprises the steps that firstly, M emitting array elements emit orthometric phase-coded signals, and N receiving array elements receive the phase-coded signals; secondly, a matched filter of a receiver of each receiving array element conducts matched filtering on the received phase-coded signals; thirdly, fourier transform is conducted on the matched-filtered signals, and a spatial spectral domain echo expression is obtained. Index selection of each time in the HMP algorithm is realized through an OMP algorithm, orthogonality of base signal selection is guaranteed through the operation, and spatial surface elements which are very close to one another can be distinguished when fourier similar characteristics exist in a dictionary matrix; meanwhile, backtracking selection operation in the HMP algorithm is the same as that in an SP algorithm.

A notification device includes a difference calculation section adapted to calculate differences between index values of a plurality of indexes, which are calculated by analyzing an exercise of a user using an inertial sensor, and are related to an athletic ability of the user, and target values set to the respective indexes, an index selection section adapted to select some of the indexes based on the differences with respect to the respective indexes, and an output section adapted to output the some of the indexes selected.

The invention discloses a compost tea for improving the soil hardness and a preparation method thereof, belonging to the technical field of soil improvement. The preparation method of the compost tea suitable for improving the hardness soil comprises three parts: material selection, preparation process and quality index selection. The applying method of the compost tea comprises the step of selecting parameters of applying condition, applying time and applying amount. The preparation method of the compost tea has the advantages of easily obtained materials, lower cost, simple preparation process and simple applying method. The preparation of the improved hardened soil of the compost tea has the advantages of high efficiency and short time, and the crumb structure of the hardened soil is remarkably improved 40-50 days after the application of the compost tea. Chemically synthesized substances are not needed in the materials, and the compost tea solution prepared is pollution-free to the environment, thereby conforming to the need of agricultural sustainable development.

The invention discloses a multi-level state evaluation method of a power transformer. The method is characterized by firstly, constructing a transformer multi-level system capable of reflecting a fault type and a position, and after index selection, reflecting uncertainty of a criterion boundary by obtaining an index deterioration degree and carrying out Gaussian cloud processing; acquiring a comprehensive weight through an association rule and variable weight processing to reflect the uncertainty of the weight; using DSmT to carry out multiple evidence fusion to solve problems of a high conflict and the uncertainty of an evaluation layer; and finally, acquiring the fault type and the fault position of a device, and a whole state of the transformer. The uncertainty problem of the transformer in an evaluation process is solved, and fault diagnosis and health assessment are combined so that an overall health condition of the transformer can be seen at a macro level, and the fault of thetransformer can be discovered from details.

The invention relates to remote-sensing image effect evaluation, in particular to a method for evaluating a remote-sensing image fusion effect. The method for evaluating the remote-sensing image fusion effect solves the problems that the man-made interference factor of a main visual effect of an existing method for evaluating the remote-sensing image fusion effect is large, errors can occur easily, a uniform standard does not exist in index selection in an objective mathematical statistic analysis, and image quality is hard to evaluate comprehensively. The method includes the steps that first, an original image to be fused is preprocessed; second, fusion processing is conducted on a preprocessed multispectral image and a panchromatic image; third, object-oriented segmentation is conducted on the images before and after fusion; fourth, a classification rule is used for classifying the segmented remote-sensing image; fifth, the classification result is precisely evaluated from the three aspects of production precision, user precision and a Kappa coefficient, and contrastive analysis is carried out on the classification accuracy of the images before and after fusion so that the fusion effect can be evaluated. The method for evaluating the remote-sensing image fusion effect can be applied to the technical field of remote-sensing image processing.

A calculating method of index selection, weight optimization and channel planning of electric power payment channel analysis is disclosed. The method comprises the following steps of step1, through a SG186 system or a questionnaire, acquiring data of basic attribute information and payment habit attribute information of a user who pays; step2, using a characteristic weight optimization method to optimize each weight in an individual user figure, acquiring an optimal individual user figure, and through a clustering algorithm, establishing a group user payment behavior figure; step3, using a K-nearest neighbor classification algorithm to establish an index evaluation system; step4, using a genetic annealing algorithm to calculate a weight value of each attribute index; and step5, determining whether the value is an optimal value and determining an optimal payment channel. In the invention, based on user payment large data, a lean management level of marketing electricity charge recovery work is increased and finally a payment service channel through which the user can pay conveniently and which is satisfied by the user is realized.

A motor control characteristic evaluation device includes: an evaluation index selection unit which selects any one of evaluation indexes in a motor control system control characteristics and outputs selection information indicating the selected evaluation index; a correlated data extraction unit which extracts data correlated with the selected evaluation index from the motor control system data group according to the selected information; an evaluation value calculation unit which calculates an evaluation value of the evaluation index according to the extracted data; and a display control unit which displays the calculated evaluation value on a display.

The invention provides a display method for multi-index data in a monitoring system and relates to the technical field of data display. The method comprises the steps of receiving an index selection order of a user and selecting at least two different indexes from preset index kinds; according to the features of the selected different indexes, establishing a coordinate system for multi-index data display; according the selected multiple indexes, obtaining the monitoring data corresponding to the multiple indexes; simultaneously displaying the obtained monitoring data of multiple indexes in the coordinate system for multi-index data display. The invention also provides a display device for multi-index data in a monitoring system. The display method and device for multi-index data in a monitoring system have the advantages that according to the types and the features of selected different indexes, coordinate systems used for data display of multi-index data can be established, so that the simultaneous display of multi-index data is finally realized and the operation and maintenance monitoring efficiency is greatly increased.

The invention relates to the technical field of rock mass engineering, and provides a stage division method for large deformations of tunnel surrounding rock in a survey and design stage. Firstlylargedeformation grades of the surrounding rock are divided into n grades; then the maximum principal stress, lithology and rock mass integrity data, and active fault data of a tunnel site area are obtained; then the maximum principal stress and the lithology and rock mass integrity data of the tunnel site area are combined for performing an initial assessment, and the maximum principal stress and theactive fault data of the tunnel site area are combined for performing a second preliminary assessment to calculate the preliminary assessment grade of the surrounding rock large deformation in the tunnel site area; then groundwater situation data, the angle between the rock layer direction and the tunnel axis, and the inclination of the rock layer in the tunnel site area are obtained and combinedto calculate grade correction parameters to correct the preliminary assessment grade of the surrounding rock large deformations in the tunnel site area to obtain the surrounding rock large deformation correction level in the tunnel site area. According to the stage division method for the large deformations of the tunnel surrounding rock in the survey and design stage, the risk level of the large-scale deformation disaster of the surrounding rock in the survey and design stage can be evaluated, index selection is relatively comprehensive and easy to obtain, and thus the grade division accuracy is improved.

The invention discloses an evaluation method for a traffic connection system of an intercity railway passenger transport hub. The method comprises the steps of 1) in combination with an index selection principle and main influence factor analysis, forming different levels of traffic connection system target evaluation index systems, and giving an index calculation model; 2) carrying out quantization processing on indexes, and by adopting an expert scoring method, proposing five types of grading standards of the evaluation indexes; and 3) using a multi-level extension method to construct a comprehensive evaluation model of the traffic connection system, determining weights and membership degrees of the indexes of all the levels, and converting the evaluation indexes into evaluation values.According to the method, the performance of the traffic connection system of the hub in a planning construction or reforming stage is subjected to comparison and selection; internal and external adaptability of traffic connection facilities of the hub is comprehensively measured; and the new evaluation method for the traffic connection system of the intercity railway passenger transport hub is proposed.

The present invention provides a method for assessing impoverished students in colleges and universities, which includes the following steps: ① Obtaining parameters: obtaining the measured values ​​of ten indicators in the data of college students who have been evaluated and recorded in the system, and the ten indicators are respectively the monthly average family income FI, Per capita monthly income and expenditure ratio FIOR, the ratio of labor force members to family members FMR, special family type FT, family member health status FH, source of tuition ST, source of living expenses SC, average daily food consumption SE, class democratic assessment SS and failure status SCS; ②model discrimination; ③obtain results. The present invention adopts the method of the forward supervised neural network algorithm model, and selects the indicators more reasonably, so that the accuracy can exceed 93.3%, avoiding the situation of over-fitting to a large extent, and the accuracy rate is ideal, so that the school It can assess poor students more truly, fairly, conveniently and efficiently.

The invention discloses a method for designing structure and key circuit of synchronous pipelining arithmetic coder suitable to hardware of image compression and video processing. For instance, JPEG2000 chip is capable of coding N pieces of input within N+3 timing cycle based on context-sensitive self-adapting arithmetic coder. Thus, following change is taken: flow of arithmetic coder in JPEG2000 protocol is converted to pipeline structure in three steps and assistant steps; putting forward optimizing algorithm in second and third steps in pipeline, index selection logic of Qe table under continuous CX input etc. Optimized result meets requirement of 200M timing clock under .25 micro techniques.

The invention discloses a risk measuring method for a network system based on the Lie group. The method can achieve the complete and objective measurement of the safety risk of the network system. Themethod comprises the steps: mapping the network system from a low-dimensional Euclidean space to a high-dimensional Riemannian manifold by using the Lie group changes, and transforming a network state index change value to a high dimension, thereby achieving the more subtle depiction of the state dynamic changes during a network attack, and the calling relationship between the devices is transformed into the distance between the corresponding points of the Riemannian manifold; and achieving the dynamic evaluation of the attack and defense process of the network system through a utility function of the adjacent nodes in a service calling path and the Riemann distances. The method gives complete and overall consideration to the usability, connectivity and reliability of the network system during index selection, is more complete for the risk evaluation, and achieves the more objective of the attack risks according to the dynamic changes of device indexes in an attack process.

The invention discloses a method for constructing a small and medium-sized reservoir dam safety evaluation index system based on the important contribution degree, which includes the following steps: analyzing and researching the main influencing factors of the small and medium-sized reservoir dam safety through data analysis, field investigation, expert consultation and other methods , cause and degree of influence, using the Delphi method to conduct expert questionnaire surveys, calculating the importance of indicators, and initially selecting evaluation indicators; using the gray correlation analysis method to quantitatively calculate the contribution rate of the evaluation indicators to the evaluation results; assigning the importance and contribution rate combination In order to evaluate the important contribution of indicators; determine the index screening criteria and threshold; according to the screening criteria, retain the top k indicators with a large cumulative important contribution, and eliminate the smallest important contribution indicators, and construct a small and medium-sized reservoir dam safety evaluation index system. It avoids the subjectivity of artificial index selection and the rigidity of data analysis, making the dam safety evaluation index system more scientific, refined, and pertinent.

The invention relates to a computer implementation method for a power grid planning evaluation service, which comprises the steps of 1) an evaluation index setting stage which is used for completing evaluation index selection, index evaluating criterion and scoring standard selection and index weight setting; and 2) an evaluation stage in which power grid planning evaluation original data is inputted firstly, and then single item evaluation and comprehensive evaluation are carried out according to the index setting. Compared with the prior art, the computer implementation method provided by the invention has the advantages that an important role is played in improving the scientificity and the effectiveness of power grid planning, and the like.

The invention discloses crop straw leach liquor for improving fertilizer efficiency of mycorrhizal fungi fertilizer and a preparation method of the crop straw leach liquor, belonging to the field of fertilization of biofertilizer. The preparation method disclosed by the invention comprises three parts, namely material selection, preparation process selection and quality index selection; the method for fertilizing the crop straw leach liquor comprises parameter selection of fertilizing condition, fertilizing time and fertilizing amount. The material selected by the method is easy to obtain, low in cost, simple in preparation process and simple and fast in fertilizing method, and the prepared crop straw leach liquor is high in efficiency of promoting crop seedling to grow, and short in time. The biomass liveweight of the crop seeding is improved by over 30% after the crop straw leach liquor is watered about 40 days. The material adopted by the method is not added chemically synthesized substance, and the prepared crop straw leach liquor has no pollution on the environment and accords with the requirements of sustainable development of agriculture.

The invention discloses a method and a system for dividing submarine soil layer by pore water pressure static cone penetration, which relates to the field of soil layer dividing. The current stratification method in the CPTU index selection has a greater subjectivity, stratification results are not very accurate. The invention comprises the following steps: acquiring original index data, data processing, dimension reduction processing and clustering; based on the K-means clustering method, the self-encoder is used to reduce the dimension of the submarine pore pressure cone penetration test indexes, remove the redundant features, optimize the weights of the features, and cluster the subsets of the features by K-means. It is found that the outline coefficients and other clustering evaluationindexes of the cluster stratification results are greatly improved. The technical scheme utilizes a self-encoder combined with K-means clustering, the accuracy of the interface of the seabed soil layer is high, and the number of soil types, and the result display can be intuitively displayed.

A Process for selecting a Precoding Matrix Index (PMI) in a Multiple In Multiple Out (MIMO) receiver of a wireless communications comprising a base station communicating with User Equipments through a downlink and uplink channel, said base station applying a precoding on the transmit symbol vector based on a matrix Pi being selected from a set of predefined matrices and identified by a PMI index computed by said UE and forwarded to said base station via said uplink; said process involving step of: —estimating (100) the MIMO channel matrix H of a given set of resources blocks comprising received symbol vectors; —estimating (200) the variance σ² of the additive noise (AWGN)—computing (300) for each particular matrix comprised within said set of predefined matrix a cost function Fi (Pi, H, σ²_n) being representative of the orthogonality of said matrix MIMO channel matrix H; —comparing (400) the values of said cost function Fi; and —transmitting (500) to said base station the index i corresponding to the Fi representative of the best conditionned MIMO channel matrix.