410 results about "Hierarchical analysis" patented technology

Methods and apparatus for integrating relational and hierarchical data, schema definitions, and queries in a data processing system are provided. It is determined if one or more schema definitions or one or more query expressions are provided as input to the data processing system. The one or more schema definitions are converted into an intermediate schema language component of an intermediate data language when one or more schema definitions are provided. The one or more query expressions are converted into an intermediate query language component of the intermediate data language when one or more query expressions are provided. The intermediate schema language component or the intermediate query language component is compiled in an intermediate data language processing engine into a run-time representation in accordance with a relational-hierarchical analysis.

The invention relates to an evaluation method of a lightning disturbance risk of a power transmission line section. Line basic information, line geographic information, line structure characteristic information, and line insulation characteristic information are employed; a lightning parameter statistics analysis program is employed to obtain a lightning parameter of a line corridor within a designated time slot and the obtained lightning parameter are used as an evaluation parameter; a lightning protection simulation calculating program is used to carry out calculation to obtain lightning stroke trip-out rates of all towers; a whole line average lightning stroke trip-out rate value that is obtained by calculation is used as a reference value to carry out comparison, so that lightning disturbance risk levels of all the towers relative to the whole line within a designated time slot are obtained; on the basis of a hierarchical structure model, an improved hierarchical analysis calculation program is used to carry out calculation to obtain weight vectors of all lightning disturbance risk level tower percentages by all sections; with regard to different influence degrees of towers with different lightning disturbance risk levels on a lightning disturbance risk, the improved hierarchical analysis calculation program is continued to be used to carry out calculation so as to obtain weight vectors of the towers with the different lightning disturbance risk levels; and then a computer is used to carry out combination on the weight vectors of all the layers from top to bottom to obtain lightning disturbance risk evaluation results of all the sections.

The invention discloses a malicious encrypted flow feature analysis method, which belongs to the crossing field of network security and machine learning, and is used for analyzing the HTTPS flow and detecting the malicious threats in the HTTPS flow. The method comprises the following steps of modeling the flow data by taking a connection quaternion as a data structure, analyzing the encrypted flowfrom four levels by taking the connection quaternion as a unit, and extracting the flow-level features, TLS handshake features, X.509 certificate features and context features of the connection quaternion to obtain an initial feature set, adopting a recursive feature elimination method based on a decision tree to screen the initial feature set to obtain an optimal feature set used for the machinelearning model training to thereby obtain a malicious encrypted flow detection model.

The invention relates to a remote sensing assessment method and system for ecosystem vulnerability. The method comprises the steps of performing ecosystem vulnerability zoning in a target area range, determining ecosystem vulnerability assessment indexes of different zones according to the zoning result, establishing a corresponding ecosystem vulnerability assessment system in each zone, determining the weights of the ecosystem vulnerability assessment indexes in the different zones by using a hierarchical analysis method, and establishing an ecosystem vulnerability remote sensing assessment model based on a comprehensive index method to assess the ecosystem vulnerability. According to the method, a reasonable ecological environment zoning scheme is formed in the target area range, and a scientific and normative ecosystem vulnerability assessment system, a weight assignment scheme and an assessment model are respectively constructed according to the ecological environment characteristics of the zones to realize intelligent remote sensing assessment of the ecosystem vulnerability, so that the assessment result is accurate and reliable and repeated operation can be implemented.

The invention discloses a power network area division method based on an evaluation index system of a power distribution network and clustering analysis. The power network area division method comprises the following steps of: S1, selecting multiple primary indexes capable of reflecting the current situation of a power distribution network in a certain urban, and establishing the evaluation index system of the power distribution network by utilizing a systematic clustering method; S2, determining the comprehensive weight of each evaluation index in each class in the evaluation index system by adopting a subjective and objective analysis method, in which an improved hierarchical analysis method and an entropy weight method are combined, and, in combination with a scoring value of each evaluation index, obtaining the comprehensive score of the power distribution network in an evaluated area; and S3, performing clustering analysis of the comprehensive score of the power distribution network in the evaluated area so as to obtain a classification result of the power distribution network in the whole area. According to the power network area division method disclosed by the invention, on the basis of the general characteristics of the power distribution network, the development current situation and the development capability of the power distribution network are scientifically evaluated; and practical and reliable basis is provided for determining a key factor influencing development of the power distribution network.

An optimal site selection device for a distributed wind power plant based on a fuzzy analytic hierarchy process comprises a DSP (Digital Signal Processor) module, a keyboard input module, a liquid crystal display module, a communication module and a host computer. An optimal site selection method for the distributed wind power plant based on the fuzzy analytic hierarchy process comprises the following steps: dividing candidate wind energy resource zones in a region rich in wind energy resources, determining an evaluation index system for the site selection of the wind power plant, determining the hierarchical structure of a scheme for the site selection of the wind power plant, judging the cognition degrees of experts on selected sites for the wind power plant by an expert group judgment and group decision method to obtain the cognition degree parameters of all the experts, and constituting a criterion layer judgment matrix and an index layer judgment matrix for the site selection of the wind power plant; and finally ranking the candidate wind energy resource zones by advantages and disadvantages and determining one site for the wind power plant. Compared with the traditional analytic hierarchy process for site selection, the method has the advantages that factors are fully considered, the examination and the regulation of the consistency of the judgment matrixes are simple, easy, scientific and reasonable, and results are scientifically analyzed. The device has the advantages that through the operation processing process of the DSP, the site selection period can be shortened, and the site selection efficiency can be increased.

A computer implemented method of producing macro-view conclusion data related to a seismic event. The method includes receiving at a processing center a set of data related to a parameter of a seismic event. The parameter is measured using a vibration sensor of a hard disk drive of a computer at a known, fixed location, wherein the vibration sensor produces the set of data. The method further includes processing the set of data at the processing center to produce the macro-view conclusion data. The macro-view conclusion data is then stored in a storage device.

A graphic user interface facilitates the hierarchical analysis of timing parameters related to network-based applications. At the top level of the hierarchy, the user is presented a summary of the delays incurred while running an application, or while simulating the running of an application, organized by delay categories, including processing delays at each node, as well as propagation delays at each link between nodes. The interface enables a user to “drill down” into lower levels of the timing information hierarchy by ‘clicking’ on currently displayed information. The information is presented in a form most appropriate to the level of analysis. The presentation forms include, for example, pie-charts, multi-variable timing diagrams (in both absolute and relative forms), data exchange charts, and so on, and ‘zoom’ capabilities are provided as appropriate to the particular display form.

The invention relates to a vehicle information extraction method and s system thereof. The input of the system is a picture shot by an existing bayonet system. Through the pretreatment methods of the adjustment of a contrast range and de-noising processing, a hierarchical analysis method is employed, a plurality of areas comprising vehicles in the picture and the corresponding vehicle type information and vehicle color information, for a passenger car area, the brand and specific model of the car are calculated through a unified vehicle type recognition model, and vehicle license plate information is extracted for passenger car and large vehicle areas. Through the system, the vehicle type, brand and specific model of a vehicle in the picture can be analyzed in a 100-millisecond level.

A method is provided for managing tasks to be performed by a sensor system. The method comprises the steps of: using an Analytic Hierarchy Process to determine priority values for a first set of tasks; performing the task having the highest priority value; and using the analytic hierarchy process to determine priority values for a second set of tasks.

The invention provides an analytic hierarchy process based heterogeneous wireless network selection method. The method is characterized in that a proper network is selected according to the requirements of different services on the network performance; meanwhile, different network determining results are provided according to the requirement of a user on the network and different network cost and benefits of the user, so that the user can be satisfied to the maximum. The method comprises the steps of analyzing the usability property of the candidate networks to create an analytic hierarchy structural model; creating a determining matrix for describing the relative importance degree of the properties according to the requirements of different services on the network performances; selecting two secondary determining matrixes from the determining matrixes according to the cost and benefit property parameters; performing the analytic hierarchy process to obtain network advantages and disadvantages sequence result; providing the final network determining result according to the interests of the user to the network cost and benefits; selecting the most proper network as the switching target network.

A method and system for determining a plurality of coefficients of an objective function of a mathematical programming model. Attributes of the model are identified. A first set of coefficient values determining a first solution and initially representing the plurality of coefficients is determined by employing a specified ranking of the attributes. A prevailing solution is initialized to the first solution. Additional sets of coefficient values are generated, each set determining a corresponding additional solution of the model. The additional solutions are evaluated (e.g., by the Analytic Hierarchy Process) to provide a ranking of the solutions, where the ranking is dependent upon the attributes. The ranking of the additional solutions is used to select a second solution. The prevailing solution is set to the second solution if the second solution exceeds a sum of the prevailing solution and a specified tolerance.

The invention relates to a mobile video quality assessment method based on hierarchy analysis and multiple linear regressions. The method comprises the following steps: firstly, determining each layer of end-to-end performance indexes of user QoE (Quality of Experience) influencing mobile video services; dividing various end-to-end performance indexes of the QoE into a target layer, a criterion layer and an index layer by utilizing a hierarchy analysis method according to the attributes and the types of the performance indexes; respectively constructing hierarchical influence models in manners that the index layer is aligned to the criterion layer which is aligned to the target layer from bottom to top by utilizing the multiple linear regression analysis; constantly adjusting regression coefficients for influencing the models and various performance indexes of the models; and finally, establishing the influence model in the manner that the index layer is aligned to the target layer, i.e., establishing a total regression model influencing the quality of a mobile video according to various end-to-end performance indexes of QoE so as to assess the quality of the mobile video by utilizing the hierarchical total assessment model. According to the method, the subjective and objective performance indexes of the mobile video are combined with the QoE of the user, so that the method provided by the invention is a comprehensive and effective user experience quality assessment method.

The invention relates to a land evaluation method and an expert system integrating ontologe knowledge reasoning and an analytical hierarchy process. At first, modeling is carried out on a land suitability evaluation task ontologe, and the land suitability evaluation task ontologe is read and stored in an ontology base; an expert user interface is provided, selecting and scoring of an evaluation factor are completed, evaluation factor weight evaluation is achieved by means of the analytical hierarchy process, regular formalization construction based on the ontologe is further achieved, and meanwhile storage processing is completed; on the basis, an evaluation area is selected on an evaluation application interface through a space data query interface provided by a data operation module, and evaluation unit data are read; ontologe instantiation processing is carried out on the evaluation unit data; meanwhile through an evaluation target selected by a user, evaluation rules related to the evaluation target are obtained by inquiring a rule base; an inference engine carries out binding reasoning on an ontologe knowledge model and the evaluation rules, and therefore a reasoning model is obtained; the evaluation result of a corresponding evaluation unit can be obtained through ontologe instantiation query operation on the evaluation target in the reasoning model.

A method and apparatus for partitioning of the input design into repeating patterns called template cores for the application of reticle enhancement methods, design verification for manufacturability and design corrections for optical and process effects is accomplished by hierarchy analysis to extract cell overlap information. Also hierarchy analysis is performed to extract hierarchy statistics. Finally template core candidates are identified. This allows to the design to be made amenable for design corrections or other analyses or modifications that are able to leverage the hierarchy of the design since the cell hierarchy could otherwise be very deep or cells could have significant overlap with each other.

The invention relates to a petroleum migration pathways quantitative evaluation method. The method combines geological analysis and hierarchical analysis. Parameters affecting the migration performance of faults and sand bodies in fault-sand body migration pathways are considered more comprehensively, including fault mobility, lithology opposition relationship between the two sides of faults, section morphology in the longitudinal direction, section morphology in the moving direction and level of fault as well as sand body effective thickness, porosity and permeability, sand body top morphology, sand body slope and sedimentary facies. On the basis of fault and sand body migration pathways multiple-parameter geological analysis, a hierarchical analysis mathematical method is adopted, the roles of the multiple parameters in the migration pathways are considered in a unified way, and quantitative evaluation of the fault-sand body migration pathways is realized. Meanwhile, the migration performances of unit migration pathways of different structures are compared quantitatively, and a favorable exploration area is easier to select. Compared with the existing evaluation method, geological analysis and the quantitative evaluation of the migration pathways are more accurate, and the success rate of petroleum exploration is effectively improved.

The invention discloses a power supply reliability fuzzy comprehensive evaluation method based on an improved membership degree function. The method comprises the following steps: (1) selecting N basic level indexes capable of reflecting a current situation of a power supply reliability of a power distribution network to establish an evaluation index system; (2) dividing quality grades of N evaluation indexes into six quality grades, which respectively are "optimal", "excellent", "good", "mean", "qualified" and "unqualified"; (3) determining a comprehensive weight for each of the evaluation indexes in the evaluation index system by employing subjective and objective analysis methods which combine an improved hierarchical analysis method with a variation coefficient method; and (4) carrying out scoring on each evaluation index to obtain a scoring value of the each evaluation index. According to the method disclosed by the invention, the problem that a relation is established difficultly between two quality grades of the evaluation indexes in power supply reliability fuzzy comprehensive evaluation field is solved; and meanwhile, the problem that when index data are similar, evaluation results are consistent and cannot be distinguished is solved, and more fine power supply reliability fuzzy comprehensive evaluation is realized.

A method for analyzing influence factors of production decline of an oil and gas field includes the following steps that A, an influence factor set is determined; B, an analysis sequence is determined according to historical data; C, non-quantity processing is conducted on analysis sequence data; D, by the adoption of an improved grey correlation analysis method, influence factor association degrees are obtained and ranked; E, by the adoption of a combined hierarchical analysis method, factor weights are calculated and ranked; F, comprehensive analysis is conducted on the sequence obtained in the step D and the sequence obtained in the step E, a final influence degree sequence is obtained, and comprehensive analysis of the influence factors of production decline of the oil and gas field is achieved. According to the method, the determining mode of an identification coefficient p of a conventional grey correlation analysis method is improved, and subjectivity brought by empirical selection is eliminated; by means of the combined hierarchical analysis method, the importance degrees of the influence factors are determined from the subjective aspect and combined with an objective result. Calculation results obtained through the subjective method and the objective method are combined, so that an analysis result is more scientific, accurate and reasonable.

The invention discloses a power communication network security situation awareness and prediction method based on IRT hierarchical analysis and LSTM (Long Short Term Memory). The method is used for solving awareness and prediction on the security situation in the existing power communication network. The method comprises the implementation processes of: firstly, extracting characteristics influencing network security situation evaluation from network connection condition data acquired in the power communication network, furthermore, calculating a network security situation value based on a hierarchical IRT model, and then, establishing a network security situation prediction model based on LSTM, so that prediction on the security situation of the power communication network is realized. Byadoption of the method disclosed by the invention, the accuracy of the importance weight in a security situation evaluation process can be effectively improved; for the time sequence properties of anetwork security situation, the security situation of the power communication network can be predicted better; and furthermore, the network security condition can be reflected and predicted more accurately and effectively through the established model evaluation and prediction method.

The invention relates to a power quality fuzzy evaluation method processed through an improved empowerment algorithm. According to the method, first, normalization processing is performed on all indexes of power quality; appropriate indexes are selected for evaluation, wherein the indexes which are excellent all the time are not used for evaluation, and the indexes with index values smaller than 0.1 after normalization are removed; weight calculation is performed on the selected indexes, wherein an analytic hierarchy process (AHP) is adopted to perform subjective weight calculation, an improved entropy weight method is adopted to perform objective weight calculation, and then a subjective and objective composite weight is obtained through merging; the obtained composite weight is converted into a weight angle in a radar map, the area and perimeter of the radar map are obtained through calculation in combination with all single index values, and a comprehensive index evaluation value is obtained according to the area and perimeter of the radar map; and after a comprehensive index weight value is determined, the comprehensive index weight value is substituted into a membership function, and the fuzzy evaluation method is adopted to perform grading evaluation on the obtained indexes. By means of converting single indexes into a comprehensive index through an improved radar map method, comprehensive index processing is performed on power quality, and goodness and badness of the indexes can be displayed vividly.

The present invention relates to a method and device for analyzing the spatial accessibility of public facilities in consideration of user characteristics. For traffic travel mode, the research unit constrained only by the spatial location is further divided into groups of different characteristics, and then the accessibility values ​​of public facilities are calculated for different groups of characteristics, which is conducive to analyzing public facilities from more perspectives and deeper levels. Spatial accessibility of facilities. In the process of calculating the accessibility of different groups of people, the service range of the park or the spatial range of people visiting the park under different traffic modes are calculated and fitted by using the surveyed and statistical travel time of residents to the park, which avoids the empirical method to determine the space The subjectivity brought by the range, so as to obtain the evaluation of the spatial accessibility of public facilities that is closer to the reality, and describe the rationality of the spatial distribution of public facilities more accurately.

The invention belongs to the field of robots and discloses a robot control software module partitioning method. First, a system is partitioned according to minimum functions to obtain an element sample set of minimum function particles. Then, relevance analysis is conducted on sample set elements from the perspectives of functions and structures, and elements with certain relevance are merged and clustered through a fuzzy tree graph clustering method. A partitioning scheme of subtrees on different levels is obtained by selecting different thresholds. Finally, a module partitioning scheme is evaluated comprehensively according to an information entropy idea, and optimal partitioning results are selected. By combining fuzzy clustering and level analysis, relevance among system elements is quantized, effects of human factors in module partitioning are reduced, and difficulty of a modularity process of robot control software is reduced. A mathematical evaluation model is provided through the information entropy idea, a reasonable and effective solving scheme for a robot software system module partitioning particle problem is provided, a developing period of module partitioning is shortened, and system developing cost is reduced.

The invention provides a land ecological quality automatic evaluation method which comprises the following steps: step 1, data preprocessing, and the data comprises a basic geographic information element, a land ecological survey element and a land ecological evaluation element; Step 2, performing data standardization; Step 3, establishing a land ecology evaluation index system; Step 4, calculating the weight value of each index by adopting analytic hierarchy process and an entropy weight method; Step 5, performing evaluation by adopting a method of combining a comprehensive evaluation methodand obstacle factor diagnosis; and Step 6, grading according to the system assessment structure. According to the invention, the automatic evaluation mode is adopted to carry out land ecology evaluation on the area; the land ecological quality evaluation system overcomes the defects of a regional evaluation system or an evaluation system only aiming at a land ecological quality unilateral aspect,a GIS space automatic processing function is added, meanwhile, data are effectively organized, a relative reference platform is provided for land ecological evaluation, and the working efficiency is effectively improved.

The invention discloses an identification method of vulnerable nodes of a distribution network. The method includes the following steps: (1) establishing vulnerability evaluation indexes based on complex network theory, and a risk evaluation index based on risk theory; (2) using a hierarchical analysis method to carry out weighted summation on the vulnerability evaluation indexes of the distribution network and comprehensively analyze the vulnerability indexes and the risk index, and establishing a comprehensive estimation index of node vulnerability of the distribution network; (3) acquiringstructure data of the distribution network and a power flow calculation result, and calculating the comprehensive estimation index of the distribution network; and (4) outputting the relatively vulnerable nodes of the distribution network. The comprehensive estimation index has the following advantages that: the complex network theory and the risk theory are adopted, a structure of the distribution network is taken into account, fault risks are taken into account, and the identification problem of the vulnerable nodes in the distribution network is comprehensively solved.

The invention provides a security risk assessment method for a block chain. The security risk of the block chain is quantified at the two aspects of technical architecture and activeness. The method comprises the following steps of firstly, establishing a block chain trusted computing base (BTCB) model according to a block chain technical system architecture; designing a security sensitivity analysis method combining AHP (Analytic Hierarchy Process) and pairing comparison, distributing a security sensitivity weight for each security risk influence factor, and finally constructing a security risk scoring function of the block chain. At an experiment part, the method is adopted to score 30 important public chain block chain projects at present, the comparison and analysis are carried out onthe scores, the scores are compared and analyzed with a Cydive public chain technology evaluation index and a Weis encrypted currency rating, and an experiment result shows that the method has certainfeasibility.

The invention relates to a data processing method and device for a customer service staff scoring system. The method includes the following steps that: a plurality of key indexes are automatically identified and analyzed from a large number of preset evaluation indexes based on a sparse regularization model; the weights of the plurality of key indexes relative to customer service scoring can be determined through adopting an analytic hierarchy process; and the comprehensive score of customer service staff is calculated according to the weights of the plurality of key indexes and the actual index values of the key indexes. Compared with the prior art, and according the method of the invention, the coefficient regularization method and the analytic hierarchy process are combined together, and therefore, scoring on the customer service staff can be realized automatically, and the workload of scoring personnel can be decreased, and work efficiency can be improved.

The invention belongs to the environment field of agricultural resources, and is an evaluation method for intensivism use of land, comprising, proposing that the intensivism use includes 4 parts of input intensity, utilization degree, output effect and social benefit of land, establishing a evaluation index system and an index determination method of intensivism use of land and proposing the evaluation index and a determination method thereof for intensivism use potential of land. The invention determines a relatively scientific and rational evaluation indicator system by 3-grade screening procedure of frequency analysis, Delphi and multivariate statistics for a lot of primary evaluation indexes and the weight of each index by using the combined method of principal component analysis and hierarchical analysis. The invention improves the single index screening and weight determination to analyze the dynamic change of intensivism use for land and determine the potential at a certain time point, and is a rare quantitative evaluation method for the field of evaluation for regional agricultural resources or quantitative calculation for intensivism use potential of land.

A system correlates intellectual property analyzes, for example, patent claim charts, with respect to analyzed intellectual property and a target product or other intellectual property. Analyzes are stored to enable searching and / or creating reports over multiple analyzes. Units of the analysis are associated with a context, inherited, e.g., from the intellectual property document's assignment to a relative role within organizational hierarchy; and associated with a context derived from the analysis itself. The analysis and respective documents and / or targets of the analysis can be searched / retrieved / analyzed from the hierarchical analysis, the context analysis, and / or the content of the analysis. This obviates the need to store each analysis as a separate document. The target or annotations may be visually represented by an item such as a thumbnail or hyperlink, and the system automatically associates the item with the appropriate application program.

The invention provides a level analysis-based assessment method for grid operating condition indicators. The method comprises the following steps: establishing an indicator model: establishing an indicator system model of a multilayer structure according to attributes of all the grid operating condition indicators, wherein the indicator system model comprises a target layer with an indicator, and at least one level of content layer which subordinates to the target layer and has at least one indicator; calculating weight vectors: performing pairwise comparison based on the same layer on all lower layer indicators which subordinate to the same upper layer indicator, and calculating the weight vector of each lower layer indicator relative to the upper layer indicator; acquiring indicator characteristics: calculating a characteristic value of each indicator according to the weight vector. The invention also discloses a corresponding level analysis-based assessment system for the grid operating condition indicators. According to the level analysis-based assessment method and the level analysis-based assessment system for the grid operating condition indicators provided by the invention, the design and the establishment of a grid operating condition indicator system can be simplified, and accurate data are provided for the grid operating condition indicator system.