264 results about "Degree of association" patented technology

The present invention is intended to allow a user to easily and precisely extract related terms through use of mutual information without requiring morphological analysis or syntax analysis, by constituting a related term extraction apparatus from preceding-and-subsequent term extraction means for extracting a preceding term occurring prior to a specified term or a subsequent term occurring subsequent to the same in text data; a frequency calculation means for calculating the occurrence frequencies of the specified term, the preceding terms, and the subsequent terms; probability-of-occurrence calculation means for calculating the occurrence probabilities of the preceding and subsequent terms together with the occurrence probability of the specified term; probability-of-concurrence calculation means for calculating the probabilities of the preceding and subsequent terms cooccurring with the specified term; order-dependent degree-of-association calculation means for calculating an order-dependent degrees of the preceding and subsequent terms cooccurring with the specified term; order-independent degree-of-association calculation means for calculating an order-independent degrees of occurrence of the preceding and subsequent terms with the specified term; and term group extraction means for extracting from the text data a group of terms related to the specified term, on the basis of the degree-of-association information calculated by the order-independent degree-of-association calculation means.

A method is provided for automatically classifying text into categories. In operation, a plurality of tokens or features are manually or automatically associated with each category. A weight is then coupled to each feature, wherein the weight indicates a degree of association between the feature and the category. Next, a document is parsed into a plurality of unique tokens with associated counts, wherein the counts are indicative of the number of times the feature appears in the document. A category score representative of a sum of products of each feature count in the document times the corresponding feature weight in the category for each document is then computed. Next, the category scores are sorted by perspective, and a document is classified into a particular category, provided the category score exceeds a predetermined threshold.

A method is provided for automatically classifying text into categories. In operation, a plurality of tokens or features are manually or automatically associated with each category. A weight is then coupled to each feature, wherein the weight indicates a degree of association between the feature and the category. Next, a document is parsed into a plurality of unique tokens with associated counts, wherein the counts are indicative of the number of times the feature appears in the document. A category score representative of a sum of products of each feature count in the document times the corresponding feature weight in the category for each document is then computed. Next, the category scores are sorted by perspective, and a document is classified into a particular category, provided the category score exceeds a predetermined threshold.

The invention relates to an intelligent error correction system of key words in the process of searching networks and a method thereof. On an Internet platform, firstly, a related linguistic model and a corresponding dictionary as well as a data index database are established through the training of related data information; secondly, a text is inputted, a Pinyin error correction part calculates the mistakes of Pinyin and characters, the error correction of characters is calculated by a fuzzy match; finally, all results are filtered according to the degree of association, a plurality of results are sorted to get the proximal results. The polyphone mistakes and character types as well as word types mistakes inputted by a user are corrected by means of the sound-character conversion and fuzzy error correction technical methods to correct the character replace mistakes, the unwanted character or the leakage of character mistakes, the character position mistakes, etc. in the input process. Moreover, the basic functions are expanded on the basis such as the English-Chinese and punctuations mixing error correction, the fuzzy match technique, the related prompt technique and the enhanced intelligence error correction.

The invention discloses a method for recommending information so as to improve the precision of a recommendation system. The method comprises the following steps: acquiring the access information of a client; retrieving various information related to the access information from a stored record; acquiring at least two types of related information combination appearance attributes of related information from various related information; calculating degree of association between related information combination and the access information according to each appearance attribute of each related information combination; selecting the corresponding related information combination of association, which meets the conditions, and recommending the related information combination to the client. The invention also discloses a device for recommending the information.

The invention discloses a method for estimating an operating state of an SF6 high-voltage circuit breaker and an intelligent system, belonging to the technical field of electric transmission and transformation equipment. The intelligent system comprises a WEB server, a data server, an industrial personal computer, a local discharge monitoring unit, an opening / closing coil current monitoring unit, a release current monitoring unit, an opening / closing stroke monitoring unit, an opening / closing position monitoring unit, an SF6 gas temperature and pressure monitoring unit and a sensing element. The method comprises the steps of: 1, establishing an intelligent estimation system; 2, quantifying estimation indexes; 3, determining matter elements R to be estimated; 4, determining a model classic domain; 5, determining a model node domain; 6, calculating a subjective weight; 7, calculating an objective weight; 8, determining a subjective and objective combined weight; 9, determining a degree of association of the matter elements to be estimated; 10, estimating matter elements of a subproject layer; 11, estimating matter elements of a project layer; 12, estimating matter elements of a target layer; 13, determining an operating state grade; and 14, determining a characteristic index state grade trend. The invention has the advantages of simple model, visual estimation result and strong self-improvement characteristic.

Subscriber travel behavior is defined using cellular call location data. The defined travel behavior is used to segment the customer population. In a further aspect of the disclosed principles, a method to consolidate numerous of price plans is disclosed wherein price plans are grouped using cluster analysis. In the context of this disclosure, the term “cluster analysis” encompasses a number of different algorithms and methods for grouping objects of similar kind into respective categories to thus organize observed data into meaningful structures. In this context, cluster analysis is a data analysis process for sorting different objects into groups in a way that the degree of association between two objects is maximal if they belong to the same group and minimal otherwise.

The intelligent semantic searching method of the present invention includes establishing learning computer to update the knowledge base timely through processing the clinks of the user, and sorting and re-sorting the search result according to the degree of association for the user to check information fast. Thus, the present invention makes it possible to adapt the user's requirement and the change in language habits and to update knowledge base for efficient and complete information service.

The invention discloses a method capable of dynamically partitioning traffic control subregion, including the following steps: acquisition of relevant data for associativity analysis; determining degree of association of adjacent crossings by utilizing the acquired data; further determining combination degree of association of multiple crossings; traversing all possible control subregion partitionschemes by adopting subregion partition layer diffusion algorithm and selecting the control subregion partition scheme with maximum performance index by comparation; and partitioning a new traffic control subregion according to the maximum performance index scheme obtained in real time. The invention provides the definition of the degree of association of adjacent crossings and analysis algorithmthereof and realizes effective combination of association key elements of the adjacent crossings; and the provided coordination control subregion partitioning method based on analysis of the degree of association considers various factors influencing the control subregion partition and realizes mensuration, standardization and systematization of the control subregion partition.

The invention provides a multidimensional comprehensive situation display system based on degree of association, which comprises a network management data acquisition module, a network management information comprehensive analysis engine, an analysis result preprocessing module and an interface display module, wherein the network management data acquisition module is used for acquiring data on the network, storing the acquired network dynamic operating data and static data to a database, and reporting dynamic operating data to the network management information comprehensive analysis engine in real time; after receiving the dynamic operating data or a data acquisition command and parameter configuration control command transmitted by a user through an interface, the network management information comprehensive analysis engine is used for carrying out analysis according to the static data stored in the database and transmitting the analysis result to the analysis result preprocessing module; and the analysis result preprocessing module is used for carrying out display data model reestablishment and data organization on the analysis result so as to be uniformly displayed by the interface display module. The invention can be used for displaying the topological situation by carrying out comprehensive monitoring on the communication network by multiple visual display means.

The invention discloses an application program management method and device in an intelligent terminal, which are used for solving the problem that the existing recovery mechanism is realized based on the length of running time of an application program, so that the switching efficiency is affected. The method comprises the following steps: when determining that the application program which has been run needs to be recovered by the intelligent terminal, acquiring a recovery priority of application programs running in the background for application programs running in the foreground, wherein the recovery priority is determined according to a degree of association between the application programs running in the background and the application programs running in the foreground; and closing at least one application program from the application programs running in the background according to the recovery priority from low to high. Since the recovery priority of each application program is determined according to a degree of association between this application program and the application programs running in the foreground, the higher the degree of association, the higher the use frequency of users, so that the application program management method and device in the intelligent terminal provided by the invention can reduce the probability of closing the application programs which are frequently used by the users, thus the user experience can be improved.

The invention discloses a method for designing the formulation combination of tobacco leaf, which comprises the following steps: the design objective of cigarette products is determined; the requirement for the main chemical composition of the objective is determined; according to the experience, formulation personnel preliminarily select one representative tobacco leaves respectively from base cigarette, auxiliary material cigarette and filler; according to the similarity of the base cigarette and the compatibility of the auxiliary material cigarette and the filler, the rest tobacco leaf materials are selected; the final tobacco leaf materials used for the formulation are determined by the formulation personnel according to the storage rate of tobacco leaf, absolute degree of association and smoke panel test; the formulation cost is taken as evaluation function of fitness, and the proportion of the chemical composition, the main materials, the auxiliary materials and the filler are taken as constraint condition, the genetic algorithm is searched. The invention overcomes the deficiency that the prior art can not ensure the aesthetic quality, product style and flue gas index of the formulation of tobacco leaf to be in accordance with design requirements, and provides a method which supplies multiple formulation combinations that are in accordance with requirements, reduces the cost and lightens the workload of the formulation personnel, thus being widely applied to the field of cigarette production.

Provides a diagnostic apparatus for diagnosing a measured object based on time-series data of a plurality of parameters measured from the measured object. An example of an apparatus includes a change-point score calculating portion for calculating a time-series change-point score with which each of the plurality of parameters changes according to passage of time based on the time-series data on the parameter, a change-point correlation calculating portion for calculating a change-point correlation indicating strength by which each of the plurality of parameters is associated with each of other parameters based on the change-point scores of the parameter and the other parameter, and a parameter outputting portion for outputting a set of parameters of which calculated degrees of associations are higher than a predetermined reference change-point correlation as a set of mutually strongly associated parameters.

The invention provides an online identification method for a network multi-step attacking intention, wherein the method extracts characters of the received security incident warning message, carries out a pattern matching based on a character and attacking action happening sequence pattern collection. If the pattern matching is success, degree of association between fore and aft security incident warning messages according to the pattern matching is computed, and the network multi-step attacking relation between the security incident warning messages is recorded based on a compared result of the degree of association and a threshold value thereof. The invention filters the security incident with pattern matching but without association relation by computing the degree of association, and the real time online detect is realized by real time reporting a matching process and result.

An image processing apparatus may include an input unit for inputting an image, and an extracting unit for extracting from the color of a pixel in the input image a relation level indicating the degree of association under which the image is thought of in response to a predetermined color name.

The invention discloses a method and device for sequencing search results, and main contents are as follows: in the embodiment of the invention, not only can the degree of association between the search results and a retrieval word be taken as a sequencing basis, but also amendment conditions are pre-set for each search result, and the degree of association between the search results and the retrieval word and amendment parameters of the search results are combined for sequencing the research results, thereby enabling the final sequencing to be capable of meeting search demands of a user to the maximum extent, improving the efficiency of inquiring the required result from the search results of the user, and reducing system resources occupied by the search process.

The invention discloses a non-results intelligence processing system of search goods and a method thereof. The system comprises an index part as well as a search part. The original data are processed by index of the classification of words to generate an index file in certain format. Key words inquired by a user are processed by the classification of words. A query result is obtained by such steps as reading the index, reverting key words and calculating the similarity. The difference lies in the fact that a non-result processing module exits in the part of searches: under the circumstance of non results in normal query, the non-result processing module is transferred to process the key words of the classification of words, key words are reverted and expanded and modified, and finally the key words are sorted according to the degree of association. The result is fed back to the user. Therefore, the easy-to-use property of the whole electronic commerce web site is improved, the experience of the user is improved and the sales of products are increased.

A tag production section analyzes an image file input from an image input section and extracts characteristics such as characteristic colors, time information, and location information. A word table stores various characteristics and keywords representing these characteristics in association with each other. A keyword selecting section searches the word table based on the extracted characteristics and selects corresponding keywords. An associated word acquiring section searches a thesaurus for associated words of the keywords. A score acquiring section acquires a score representing the degree of association between the associated word and the keyword. In an image database, the image file having a tag on which the keywords are described, the associated words, and the score added are registered.

A method of manufacturing a semiconductor device uses a slurry for chemical polishing during the manufacturing process, the slurry containing polishing particles comprising colloidal particles whose primary particles have a diameter ranging from 5 to 30 nm, wherein the degree of association of the primary particles is 5 or less. This slurry for chemical mechanical polishing makes it possible to minimize erosion and scratching whenever a conductive material film is subjected to CMP treatment.

The present invention is directed to providing a higher degree of association between nodes and links in a graph by creating data structures (spiders) that provide views into graphs that transcend the relatively static association of a conventional graph. A spider's variables bind to any number of nodes and links in the graph, enabling all of the bound nodes and links by addressing the spider. By adding constraints on the extent or degree of binding in a spider to a graph, a subset of the graph is identified. The spider can then used to address the subset of the graph as constrained by the spider. A spider can bind to a link in order to identify a parent / child structural subset of the graph. More specifically a spider is a collection of variables that create a template or pattern and bind to the nodes and links in the graph. A spider traverses a graph by binding its variables to various nodes and links in the graph.

The invention provides a dynamic group association cache device for a processor. The device firstly judges the effective bit of each cache block in a cache group to be accessed during a reading access, sets the enabled bit of the cache route at which the cache block is located according to the effective bit of each cache block, reads the effective cache block and compares the marked segment in the access address with the marked block of each cache block; and if hitting the target, the device reads the data from the data block of the cache block hitting the target according to the offset segment in the access address. In the procedure executing process, the device dynamically changes the degree of association of the cache device and filters the reading operation of ineffective cache blocks, thereby effectively reducing the power consumption of cache under the condition that the design complexity is basically not increased and the performance of the processor is not affected, so that the power consumption of the whole processor is lowered.

The invention provides a failure diagnosis method and a failure diagnosis system. When determining the similarity between each failure and status information obtained by an apparatus monitor system, the invention not only takes the similarity between each characteristic quantity value in the status information and the relative failure characteristic of each failure into consideration, but also takes the degree of association between each characteristic quantity type and each failure into consideration, wherein, the degree of association is indicative of the sensitivity of distinct characteristic quantity types to distinct failures. Since the degree of association between the characteristic quantity type and the failure can be obtained in accordance with historic failure diagnosis course or with statistics of pre-implemented multiple failure experiments, the obtained degree of association can objectively and accurately reflect the sensitivity of the distinct characteristic quantity types to the distinct failures such that the similarity between the status information and the failure is capable of more accurately giving a reflection of the similarity between the known failure and the failure represented by the status information, therefore the failure diagnosis acquires higher accuracy.

The embodiment of the invention discloses a beam shaping method. The method comprises the following steps: a base station emits a code sequence in each beam, and a code element of the code sequence corresponds to each beam one by one; after beam selection information generated according to a signal received by a terminal and degree of association of the code sequence is received, the base station carries out beam shaping on data to be transmitted. Through the embodiment, the terminal generates the beam shaping information through calculation of degree of association and feeds the information back the base station; the base station carries out beam shaping on the data to be transmitted according to the beam selection information;and the method has small increase of the terminal calculation and unhigh requirement on terminal complexity, not only greatly reduces the burden of he base station, but also greatly avoids possibility of failure of beam shaping and improves the performance of an intelligent antenna system.

The invention belongs to the network technical field and provides a shopping recommendation method and system. The shopping recommendation method includes the following steps that: the matching score of a label defined by a user, a system commodity label and a merchant commodity label is obtained; the consumption ability score of the user is obtained; the rating score of commodity quality and merchant service, which is provided by the user, is obtained; the matching score, the consumption ability score and the grading score are added together, so that a total recommendation score can be obtained; and commodity recommendation information is generated and is recommended to the user according to the total recommendation score. According to the shopping recommendation method and system of the invention, the total recommendation score is determined by analyzing user information, commodity information and rating information, and comprehensive consideration of multi-faceted information makes the degree of association between a recommended commodity and the user improved.

The invention discloses a picture classification method and device, a storage medium and electronic equipment. The method includes the steps of extracting feature points of pictures to be classified,and acquiring tag information of the corresponding pictures according to the feature points; acquiring set tag information of multiple picture sets, and selecting a picture set of which the set tag information and the picture tag information are matched as a target picture set; acquiring the degree of association between the pictures to be classified and pictures in the target picture set, and determining whether or not the degree of association is greater than a preset threshold; if the degree of association is greater than the preset threshold, a storage link address of the pictures to be classified is stored in the target picture set. The method can effectively perform picture classification and store pictures with high degree of association in the same set to provide convenience for viewing.

Odors are evaluated in relation to a target or priming stimulus by testing a subject by presenting the subject with one or more adors under different conditions, at least some being in the presence of one or more targets or priming stimuli; subsequently testing recognition of said one or more adors by the subject and monitoring implicit ador memory; and evaluating the results of implicit memory for ador / target combinations presented to the subject in the first stage of testing. Evaluation of the results of implicit memory for ador / target combinations presented to the subject provides a measure of the degree of association between the ador and target in a particular ador / target combination. These measures can be compared and used as a basis for ador selection.

Identifiers are of items or categories assigned to the respective items. A price influence degree of each of identifiers associated with a base identifier is calculated from price information of the identifier through the use of a price influence function. A selection index of each of the identifiers associated with the base identifier is calculated according to a rule such that the calculated selection index will increase as a degree of association with the base identifier is greater and the calculated price influence degree is greater. Identifiers each great in calculated selection index are preferentially selected from the identifiers associated with the base identifier. Items or categories having identifiers equal to the selected identifiers may be recommended to a user.

The invention provides a method for mining potential adverse drug reaction data from big data. The method comprises the steps of A, collecting adverse drug reaction reports; B, preprocessing data in the adverse drug reaction reports of the adverse drug reaction event data set; C, standardizing the drug name; D, filtering known adverse reaction; E, calculating degrees of association; F, sequencing the degrees of association. The method is applied to the work of mining potential adverse drug reaction and the work is not limited to the category of drugs; the potential risk of marked drugs can be effectively found out, and the method is of important significance on increasing the health level of a user.