629 results about "Relationship analysis" patented technology

What is proposed is a method of implementing a security system (Packet Sentry) addressing the internal security problem of enterprises having a generalized approach for inferential determination and enforcement of network policy with directory service based group correlation with transparent authentication of the connected customer and the policy enforcement inside the network. The security system enables the network to analyze and enforce policy using any bit or bits in a stream or a packet, conduct Flow Vector analysis on the data traffic, provide Application Monitoring, Normalization and user authentication validation. The system enables the network to implement Group relationship Analysis and correlation using combination of Network inferences and Directory service data resulting in generation of Group norms using statistically significant relationships. These will provide a more secure enterprise environment where data security levels can be enforced and the usage monitored effectively in the infrastructure.

A method and apparatus are provided for identifying a biological sample obtained during either paternity screening, genetic screening, prenatal diagnosis, presymptomatic diagnosis, diagnosis to detect the presence of a target microorganism carrier detection analysis, forensic chemical analysis, or diagnosis of a subject to determine whether a subject is afflicted with a particular disease or disorder, or is at risk of developing a particular disorder, wherein the result obtained from the analysis is associated with the unique DNA fingerprint biological barcode of the genotype of the subject being analyzed. The methods and apparatus of the invention have application in the fields of diagnostic medicine, disease diagnosis in animals and plants, identification of genetically inherited diseases in humans, family relationship analysis, forensic analysis, and microbial typing.

A system, method, and computer program product for natural language understanding, including forming pairs of words and / or phrases in independent phrases in a sentence, wherein each word and / or phrase is paired with every other word and / or phrase; determining meanings for the words and / or phrases; comparing the meanings of each word and / or phrase with each meaning of the other word and / or phrase in the pair; selecting the pairs with the best relationships; combining highly-related pairs with other highly-related pairs to form longer groups of words; exchanging word meanings for the longer groups with word meanings having a weaker relationship to determine if the exchanged word meanings provide an overall stronger relationship; and forming longer and longer groups until the sentence is understood.

Systems and methods consistent with the invention create a model of a configurable business application that is compatible with an integrated development environment. The tools available in the integrated development environment (IDE) may be used as an integrated business application configuration environment (ICE) to analyze and change the configuration of the business application model while providing scope visualization, context visualization, object-interrelation analysis, error detection, and other benefits and features that an integrated environment provides for program code development. The reconfigured business application model may then be transformed into structures for the business application, so that the implemented changes to the model are applied to the actual business application.

A system, method, and computer program product for domain-independent natural language understanding, including at least one of forming pairs of words and / or phrases in a sentence, wherein each word and / or phrase is paired with every other word and / or phrase; determining meanings for the words and / or phrases; assigning numeric codes that uniquely identify semantic concepts to those word and / or phrase meanings; comparing the numeric code of each word and / or phrase with each numeric code of the other word and / or phrase in the pair; selecting the pairs with the best relationships; combining highly-related pairs with other highly-related pairs to form longer groups of words; exchanging numeric codes for the longer groups with numeric codes having a weaker relationship to determine if the exchanged numeric codes provide an overall stronger relationship; and forming longer and longer groups until the sentence is understood.

The present invention discloses an automatic extracting method of event evolving relationship based on news. The method comprises: preprocessing news information, extracting news leads, extracting news event time, extracting events, extracting event keywords, and analyzing event evolving relationship. The present invention further discloses an automatic extracting system of the event evolving relationship of news. The automatic extracting system comprises a news information preprocessing module, a news lead extracting module, a news event time extracting module, an event extracting module, an event keyword extracting module, and an evolution relationship analyzing module. Through the adoption of the automatic extracting method and system, disclosed by the present invention, the graph of event evolving relationship is more reasonable, and the relationship between events is more clear; the automatic extracting method and system have the advantages that partial problems in the present field of news evolution analysis are solved, so that the evolution analysis achieves better effects, and users can conveniently know the evolutionary skeleton of the whole news topic.

The present invention includes a system and method configured to analyze a performance of a product. The product has associated process and performance characteristics. The method includes the steps of establishing a plurality of process characteristics associated with the product, establishing an analysis relationship between the process characteristics and the performance characteristic, and analyzing the performance characteristic of the product in response to the relationship.

What is proposed is a method of implementing a security system (Packet Sentry) addressing the internal security problem of enterprises having a generalized approach for inferential determination and enforcement of network policy with directory service based group correlation with transparent authentication of the connected customer and the policy enforcement inside the network. The security system enables the network to analyze and enforce policy using any bit or bits in a stream or a packet, conduct Flow Vector analysis on the data traffic, provide Application Monitoring, Normalization and user authentication validation. The system enables the network to implement Group relationship Analysis and correlation using combination of Network inferences and Directory service data resulting in generation of Group norms using statistically significant relationships. These will provide a more secure enterprise environment where data security levels can be enforced and the usage monitored effectively in the infrastructure.

The invention relates to a method and device for improving a dialogue communication effect based on speech analysis. The method comprises the following steps: determining the relationship of a user and a call object; on the basis of the call speech information of the user and the call object, obtaining the speech emotion and the speech words of the user; comparing the speech emotion with a call object and sensitive emotion library relationship list established in advance so as to determine whether the user is in a inappropriate emotion state or not; comparing the speech emotion with the call object and sensitive emotion library relationship list established in advance so as to determine whether the user uses inappropriate sensitive words or not. The method finds the problem in the user dialogue process through the emotion analysis and semantic analysis for speech in speech communication and the relationship analysis of the user and the call object, so as to help the user to find the problem in time to improve the communication mode and play a role of improving the communication effect among families and friends.

The invention discloses a financial network doubtable money tracking and identifying method, which comprises the following steps of: (1) building a financial transaction network topology graph: the financial transaction network topology graph is a graph visually displayed by the original financial transaction flow after the processing, and the graph includes all transaction relationships and money flow directions in the original financial transaction flow; (2) building a money flow direction analysis flow process: after the building of the transaction network topology graph is completed, the money flow direction analysis is performed on the graph, and the money flow direction analysis aims at tracking the specific flow direction of one or a plurality of sums of money; and (3) building a transaction relationship analysis flow process: after the building of the transaction network topology graph is completed, the money flow direction analysis is performed on the graph, and the transaction relationship analysis aims at mining the money flow relationship of suspected gangs to obtain great-number high-suspicion money paths.

A method and apparatus is provided for significantly speeding-up program execution in a data processing device. The data processing device is provided with a specialized instruction region storage section comprising content addressable memory (CAM) and random access memory (RAM) that operatively functions as an instruction sequence reuse table which is capable of registering / storing sequences of program instructions and corresponding instruction sequence output data as input / output (I / O) groups for potential future use in place of re-executing identical portions of program code. The data processing device includes at least one instruction stream processor which includes a computing unit for executing instructions and a dependency relationship analysis unit or “reuse window” unit (RW) that analyzes instruction sequence patterns from regions of instructions stored in a main memory to determine if the patterns can be divided up into smaller partitions that have no interdependencies and hence are potential candidates for reuse.

The invention discloses a data blood relationship analysis method, device, equipment and system and a readable storage medium, and the method comprises the steps: obtaining blood relationship data corresponding to an SQL statement through Hook when the data system executes the SQL statement; Determining a data table type of a data table where the blood relationship data is located through a streaming analysis system, and constructing a directed graph corresponding to the blood relationship data according to the data table type and the blood relationship data; And storing the directed graph inan HBase, and storing the blood relationship data in an HDFS. According to the invention, blood relationship data of different types of data systems are acquired through Hook; the data blood relationship analysis method is adaptive to different types of data systems; the directed graph corresponding to the blood relationship is obtained by analyzing the data table type and the association information of the data table where the blood relationship data is located, it is avoided that the blood relationship of the data is obtained through SQL script analysis, the complexity of analyzing the bloodrelationship of the data is reduced, and the expansibility of the data blood relationship analysis method is improved.

A computer-implemented method for detecting a phishing attempt by a given website is provided. The method includes receiving a webpage from the given website, which includes computer-readable code for the webpage. The method also includes ascertaining hyperlink references in the computer-readable code. Each hyperlink reference refers to at least a component of another webpage. The method further includes performing linking relationship analysis on at least a subset of websites identified to be referenced by the hyperlink references, which includes determining whether a first website is in a bi-directional / uni-directional linking relationship with the given website. The first website is one of the subset of websites. The method yet also includes, if the first website is in the bi-directional linking relationship, designating the given website a non-phishing website. The method yet further includes, if the first website is in the uni-directional linking relationship, performing anti-phishing measures with respect to the given website.

The invention discloses an infrared vision based automatic landing guidance method and system applied to a fixed-wing UAV (unmanned aerial vehicle). The system comprises two identical image tracking modules, an image processing module, a control module and a wireless transmission module, wherein each image tracking module comprises a camera and biaxial pan-tilt units. According to the method, the UAV is detected, identified and tracked in images with an image tracking technology, and deflecting angles of the pan-tilt units are accurately recorded; the relative space position of the UAV can be determined through geometric relationship analysis and trigonometric calculation of pitch heading angles of the two pan-tilt units and the distance between the pan-tilt units, and position information of the UAV is sent to the UAV through the wireless transmission module, so that the UAV is guided to accurately land. The infrared vision based automatic landing guidance system is constructed on two sides of a landing runway of the UAV, complicated image processing is performed based on powerful computing capacity of a ground-based computer, each guidance device is utilized to the greatest extent, the accuracy of the system is improved, the control is simple, and real-time performance and stability are good.

The invention relates to a method for analyzing implicit type discourse relation based on hierarchical depth semantics, and belongs to the technical field of application of natural language processing. The method comprises the following steps of firstly, combining marked and unmarked corpuses, expanding the corpus training scale, and solving the problem of under-learning due to undersize corpus training scale; then, according to a certain rule, initializing a depth semantic vector of each corpus training hierarchy, sorting word pairs favorable for classification according to information gain value, and using the word pairs as subsequent feature selection basis; finally, designing a scoring function, combining the multiple hierarchial depth semantic information of to-be-classified discourse relation theory element pairs, utilizing the parameters of a nerve network training model, fitting a type tag of the implicit type discourse relation, and finding the model for furthest optimizing the performance, so as to complete the analysis of the implicit type discourse relation. The method has the advantages that the false judging of the traditional method based on discrete features is overcome; the analysis accuracy of the type tag of the implicit type discourse relation is improved; a user can quickly and accurately obtain the analysis result of the implicit type discourse relation.

A method for managing metadata of a data warehouse, a readable storage medium, and a computer device are disclosed. The method for managing metadata of a data warehouse includes detecting whether datastructure of each service source table of source warehouse of data warehouse changes in data extraction process, if so, generating early warning information and separately processing that changed service source table to complete data processing; performing consanguinity analysis in the data warehouse according to a target table corresponding to the changed service source table, and outputting a consanguinity relationship map; evaluating and modifying each data table involved in the data warehouse according to the consanguinity map. The method provided by the invention brings convenience to find the change of the service source table, and is convenient for the subsequent data developers to adjust, and the accuracy of the adjustment is verified through the blood relationship analysis, thereby reducing the problems caused by the inconsistent data structure, and reducing the probability of the daily scheduling flow of the data warehouse to report errors at the same time.

The invention discloses a field blood relationship analysis method, system and device based on depth-first traversal. The method comprises the steps that conversion processing is performed on a to-be-analyzed SQL statement to generate an abstract syntax tree; depth-first traversal is performed on the generated abstract syntax tree; and verification analysis is performed on the depth-first traversal result to obtain a blood relationship among fields in the SQL statement. The system comprises a conversion processing module, a depth-first traversal module and a verification analysis module. The device comprises a memory and a processor. According to the field blood relationship analysis method, system and device, the blood relationship among the fields is analyzed through the depth-first traversal method, analysis complexity is lowered, and analysis precision is improved; and besides, through the method, the SQL statement is directly processed without depending on an existing metadata system, so that the complexity of association analysis is further lowered, and compatibility is improved. The field blood relationship analysis method, system and device can be widely applied to the association analysis field.

The invention discloses an electric energy quality comprehensive evaluation method in order to directly evaluate the overall conditions of the electric energy quality in an area more visually so that the electric power supply can be safer and more economical. The comprehensive weight of a comprehensive evaluation index of the electric energy quality is determined with the order relation analysis method and the entropy weight method, then, the coefficient of correlation between an actual measurement value and the standard limiting value at the national standard level is calculated with the gray correlation analysis theory, and finally the index weight coefficient and the correlation coefficient undergo weighting multiplication to calculate the correlation degree of the electric energy quality. The level of the electric energy quality is judged according to the correlation degree of the electric energy quality.

The embodiment of the invention discloses a blood relationship analysis method of a structured query language, and a tool thereof. The blood relationship analysis method comprises the steps: extracting service systems of a plurality of different types of databases, and continuously importing the structured query language of the service systems into a message queue list in batches; preprocessing structured query languages containing static parameters and dynamic parameters in the message queue list respectively; performing grammatical proofreading on the preprocessed structured query language,generating abstract syntax trees matching the structured query languages of the different types of databases, traversing the abstract syntax trees, and obtaining the blood relationship of the structured query languages; and obtaining blood relationship veins and key blood relationship data of the blood relationship, finally forming a blood relationship map, and finally completing analysis and prediction of the service system. According to the embodiment of the invention, dynamic and static structured query languages of various types of databases can be analyzed continuously in batches, and data traceability and prediction of a service system are completed, and an analysis result is accurate.

The invention provides a method and system for identifying a Chinese event sequential relationship. Each document of an original text, the event sequential relationship of which needs to identify, is subjected to word segmentation, entity identification, syntactic analysis, dependence relationship analysis and event extraction action, such that a test corpus event set is obtained; all event pairs and feature information thereof are respectively extracted from the test corpus event set and a labelled corpus set; a maximum entropy event sequential relationship identifying model is trained according to the features of various event pairs in a labelled corpus feature set; the sequential relationship of each event pair in the test corpus feature set is identified by utilizing the maximum entropy event sequential relationship identifying model, such that a first event sequential relationship set is obtained; and, by taking the document as the unit, event sequential relationship reasoning of all the event pairs in the first event sequential relationship set is carried out by utilizing a word denoting time reasoning method, an event relationship reasoning method, a reflexive reasoning method and a transitive reasoning method, such that an event sequential relationship set is obtained.

A document relationship analysis system. Aspects of the system include ingesting, discovering, recommending, analyzing, and exporting documents of interest. The system dynamically searches large or streaming datasets using a tiered, multi-step approach that includes discovery techniques and recommender components to filter and refine these larger datasets to smaller datasets of documents of interest. The system dynamically selects and renders an appropriate visualization for result datasets based on predetermined measures that allow for facilitate analysis of the documents of interest.

The present invention provides a personnel analysis method and system. The method comprises the steps that evaluation rules of at least one association relationship are determined, and behavior data of at least two sample personnel is analyzed and processed according to the evaluation rules respectively corresponding to each association relationship to form a personnel relationship network structure map; each of the association relationships respectively corresponds to a weight coefficient; according to the personnel relationship network structure map, at least one target person associated with personnel to be queried is determined from each of the sample personnel; aiming at every target person, a corresponding correlation coefficient between the target person and the personnel to be queried is calculated according to the weight coefficients corresponding to the personnel relationship structure map and each association relationship; identity labels and the corresponding correlation coefficients of every target person are output. Through the technical scheme of the system and method, a user can know the corresponding degree of association between each target person and the personnel to be queried respectively.

The invention relates to a method and a device for high-sensitively receiving and transmitting integrated infrared detection of driver's fatigue. The method comprises the following steps: emitting an infrared ray by an infrared sensor, detecting eye movement characteristics of a driver through receiving change of infrared light value after irradiating at people's eyes and reflecting; analyzing and calculating the driver's fatigue in driving process according t the relationship analysis between the eye movement and the fatigue. A smart detecting data processing unit receives the driver's eye change characteristic data, environmental light sensitive data and head part behavior data information collected by a fatigue parameter detecting identifying unit; the intelligent detecting data processing unit compares the processed result with the self-studied regular characteristic model of the driver, analyzes and calculates the P80 state value of the driver; when the P80 state value exceeds the safety threshold, the intelligent detection data processing analyzing unit can feedback the information to a back end data center through a Bluetooth communication module, and starts an early / warning / interference method, such as shock, stimulated audio.

The present disclosure is directed to methods and systems for users to engage with a mobile community. The system includes a mobile device configured to send and receive communication, and a mobile community provider that is communicatively coupled to the mobile device via a network, wherein the mobile community provider includes a user activity analyzer engine and a relationship analyzer engine.

The invention discloses a person relationship analysis method and a terminal. The method can lower the book understanding difficulty of readers. The method comprises the steps of obtaining first text information, and screening out a to-be-analyzed statement from the first text information according to a preset text identification technology, wherein the to-be-analyzed statement comprises at least two target objects; according to a preset relationship word bank, determining role relationship words from the to-be-analyzed statement in sequence, and according to the role relationship words, determining a first person relationship between at least two target objects in sequence; according to the first person relationship, generating a person relationship table corresponding to the first text information; and according to a preset display mode, displaying the person relationship table in the first text information.

The invention relates to a data processing system capable of maintaining a dependency relationship in advanced language program data flow diagram extraction. The system comprises the following modules: a code text scanning module, which is used for parsing the input advanced language codes and converting the codes into an intermediate representation easy to process in a compiling system; a dependency relationship analysis module for analyzing the data flow and the dependency relationship between the variables in each statement of the codes; a state storage module for recording the dependency relationship information of each statement in the dependency relationship analysis module; a renaming module, which is used for obtaining and analyzing the information in the state storage module, and renaming the variables in the statement with the dependency relationship to hide the dependency relationship; and a dependency relationship recovery module for recovering the original dependency relationship of the codes from the variable information processed by the renaming module. In comparison with the prior art, the system of the invention has the advantages of effectively maintaining the dependency relationship in advanced language code data flow diagram extraction, reducing redundant operations and the like.

The invention discloses a method for supplementing metadata description. The method comprises the following steps: obtaining pre-stored full metadata from each source database; performing data blood relationship analysis on the full metadata to construct a blood relationship map among different data tables of the full metadata; obtaining a target field to be complementarily described from the full-scale metadata, and determining a target table to which the target field belongs; determining an upstream table of the target table according to the blood relationship map; and analyzing the similarity between the metadata field in the upstream table and the target field, and carrying out supplementary description on the target field according to the similarity. The invention further discloses adevice and equipment for supplementing metadata description and a storage medium. According to the method, in the process of supplementing metadata description, manual intervention is reduced, the labor cost is reduced, and the overall working efficiency is improved.

The invention discloses a metadata-based data blood relationship analysis method and system, and the method comprises the steps: defining a lexical rule and a grammatical rule of a structured query language through an open-source grammatical analyzer, analyzing the lexical rule and the grammatical rule of the structured query language, and converting the structured query language into an abstractsyntax tree; traversing the abstract syntax tree, and abstracting a basic composition unit of query; traversing the basic composition units of the query to generate an execution operation tree; executing operation tree transformation through a logic layer optimizer; traversing the execution operation tree and translating the execution operation tree into a task tree; transforming the task tree through a physical layer optimizer to generate a final execution plan; analyzing the statement of the Hive query language based on the final execution plan, and analyzing an input / output table, fields and corresponding processing conditions. The relationship between each data table and each field can be effectively sorted, and the blood relationship of data can be analyzed.

The invention relates to a grey weighting method for sewage treatment process comprehensive evaluation, and belongs to the field of sewage treatment technology optimization. The grey weighting method comprises the following steps that 1, combined weights of evaluation indexes are determined, i.e., an entropy weight method and an order relation analytical method are respectively adopted for determining objective and subjective weights of evaluation indexes, and then, game theory thoughts are applied to determining the combined weights of the evaluation indexes; 2, the grey correlation analysis theory is applied to determining the optimum process. The grey weighting method has the advantages that the grey weighting method is used as an evaluation process of a sewage treatment process, the whole evaluation process adopts an objective and subjective weighting method, ranging results are enabled to show subjective information and objective information, the evaluation decision method is simple and intuitive, and the computer programming is easy.