50 results about "Subject analysis" patented technology

A method, apparatus, and computer instructions for filtering and prioritizing instant messaging threaded conversations in an instant messaging system based on thread content. The instant messaging client analyzes an incoming message to determine the thread subject. Based on the thread subject analysis, the client determines the priority level associated with the incoming message. The message is then delivered and displayed to the recipient according to the priority level. The present invention also allows a participant initiating a thread of conversation to override filter settings on a messaging client. The authority to override settings may be predicated on an external list, such as a corporate telephone directory. As a result, the participant, having some authority or rights to override the recipient's instant messaging settings, may be allowed to conduct a messaging session with the recipient.

The invention provides a subject-based searching method and device. The subject-based searching method comprises the steps of performing subject analysis on each document in a document library by using a subject analysis model to determine a subject distribution corresponding to each document; performing subject analysis on a query input by a user by using the subject analysis model to determine the subject distribution corresponding to the query; calculating the subject matching degree between the query and each document by using the subject distribution corresponding to the query and the subject distribution corresponding to each document; obtaining the matching degree between the query and each document by using the subject matching degree, and determining searching results according to the matching degree between the query and each document. According to the subject-based searching method and device, the subject matching mode instead of a keyword matching mode is adopted, the documents can still be recalled even the documents are not consistent with the query of the user or not matched with redundant terms, and the search results are matched with the query in subject to a maximum extent in the query in statement, so that the research recall and accuracy are improved.

The invention discloses a satellite overall plan confirmation system based on a multidisciplinary optimization and a realization method. The satellite overall plan confirmation system comprises a satellite total technical index extraction module, a satellite total technical index distribution module, each subsystem technical requirement formation module of a satellite, a satellite system design subject decomposition module, a design structure matrix generation module, a satellite system design subject analysis modeling module, a satellite system optimal modeling module, a model simplification module, a two-stage collaborative optimization modeling module, a collaborative optimization solving module, a satellite total technical index database, a model number base line design database, a design parameter library, a model library and a satellite overall plan parameter output module. The multidisciplinary design optimization of the satellite overall plan is realized by system index extraction, design task subject decomposition, design subject analysis modeling, design structure matrix construction, satellite overall plan multidisciplinary design optimization description, model simplification and two-stage collaborative optimization modeling and solving.

The invention discloses an undesirable image detecting method based on connotative theme analysis, which is substantially used for solving the problem of wrong judgment on normal images resulting from semantic information consideration failure in the present undesirable information detecting method. The scheme is as follows: extracting a skin region of an image by a double-blending Gaussian model; generating a codebook base containing distinguishing features in the skin region by a word bag model, and representing each training image to a group of word co-occurrence vectors with weights via aword frequency-inverse identification file frequency method; forming all co-occurrence vectors to a co-occurrence matrix, performing LDA model creation on the co-occurrence matrix to obtain the themeof the image; inputting the mixed theme of the training image in a BP neural network to train an undesirable image classifier; and obtaining the theme of an image to be measured, inputting the theme to the undesirable image classifier, and judging whether the theme is an undesirable image so as to finish the undesirable image detection. As shown in the test, the invention can be used for better distinguish the undesirable images and the normal images, so that the invention can be used for filtering the erotic information in the images.

The invention provides an operating, distributing and scheduling integrated information integration platform for county-level power supply enterprises. The integrated information management platform comprises a management system unit and an integrated information management system communicating with the management system, wherein the integrated information management system comprises a data integration module, a farm electric power comprehensive database, an application integration module and an auxiliary analysis module. The operating, distributing and scheduling integrated information management platform for the county-level power supply enterprises integrates information resource islands inside the county-level power supply enterprises and is favorable for management and decision of the county-level power supply enterprises; furthermore, functions of enterprise-level service integration, subject analysis and the like can be realized, the information islands are eliminated, and the uniqueness and the accuracy of the data can be guaranteed.

The invention relates to a cascading-type composition generating method. The technical purpose is to make up for the insufficiencies in the prior art that only composition scoring is studied, and there are no studies on a composition generating method yet, and it is hard to analyze a title of a composition through an existing subject analysis technology. One or more topic words are utilized to represent a main idea of a to-be-generated composition; after the topic words are obtained, composition generation is broken up into the topic word expansion, sentence extraction and the text organization; after the topic words are expanded, a sentence extracting module is utilized to look for sentences relevant to the topic words, finally a text organization module is utilized to rank the extractedsentences, so that the sentences become a coherent entirety. By means of the cascading-type composition generating method, phrases can also be mined from an extracted sentence set to make supplement for existing topic words. The cascading-type composition generating method is applicable to automatically generating compositions.

The invention relates to a power grid equipment monitoring oriented multi-subject intelligent integrated alarm analysis method which comprises the steps that (1) alarm information is subscribed, and classified by taking an interval as a unit; and (2) when a certain interval is accessed, the following subject data is provided for selection: 1) corresponding wiring diagram data is obtained according to the accessed interval; 2) holographic telemeasuring data of a key parameter of the interval within a period before and after the generated time of the alarm information is acquired according to the interval to which the alarm information belongs; 3) the latest alarm information of the interval is obtained according to the interval to which the alarm information belongs; 4) listing information of the interval is obtained according to the interval to which the alarm information belongs; and 5) equipment electric parameter static information and equipment overhaul records of the interval are obtained according to the interval to which the alarm information belongs. The multi-subject analysis and statistical method provides a quicker and richer means for dispatching automation personnel to check and analyze the alarm information generated during power grid running and for overall monitoring on equipment.

The invention discloses a medical health data analysis method. With medical service data as a basic data source and through building medical analysis indicators and a theme, corresponding medical health service data are designed and specified; based on an ORACLE database, a data warehouse and a market are designed and built; an SQL language is used to realize data ETL; in combination of a front-end visual presentation mode, theme analysis for all kinds of medical services is further realized; in view of partial sample data, a data analysis report is formed; interfaces and specifications for medical health data are unified, unified management on the medical health data is realized, analysis on main indicators such as outpatient, inpatient, basic drug supervision, basic level medical servicequality and basic level personnel configuration is completed, interconnection and interworking and sharing of information are realized, the medical service level is finally improved, and assistance is provided for relevant decisions.

The invention provides short text clustering equipment which comprises a subject analysis unit, a vector generating unit and a clustering unit, wherein the subject analysis unit is used for conducting subject analysis on each text in an auxiliary text collection and a short text collection, thereby obtaining the possibilities that each short text in the short text collection is corresponding to a subject of the auxiliary text collection and the subject of the short text collection; the vector generating unit is used for conducting normalization on the possibilities that each short text is corresponding to the subject of the auxiliary text collection and the subject of the short text collection so as to generate a vector; and the clustering unit is used for clustering the short texts in the short text collection based on the generated vector. Meanwhile, the invention further provides a short text clustering method. According to the short text clustering equipment and the short text clustering method, the independent finding of the auxiliary text subject and the short text subject can be realized, thereby clustering the short texts more accurately.

The invention belongs to the technical field of information processing, and provides a label extraction method and device. The label extraction method comprises the following steps: obtaining a plurality of pieces of evaluation information of a commodity; extracting candidate labels in each piece of evaluation information according to a preset label syntax rule; carrying out subject analysis on each candidate label through a potential Dirichlet distribution model LDA to obtain the subject probability distribution corresponding to each candidate label, wherein the subject probability distribution comprises the probability of the candidate label belonging to each appointed subject; and determining a candidate label set corresponding to each appointed subject according to the subject probability distribution, and determining a representative label corresponding to the appointed subject according to the weighted value of each candidate label in the candidate label set. According to the method and device, the problem that the existing label extraction algorithm cannot sufficiently solve the short text sparsity problem is solved, and the correctness of the commodity evaluation similarity and the commodity evaluation mining degree are improved.

The invention discloses an abstracting method for mass-text quick understanding. The abstracting method includes the steps that the content of text is obtained; the text is subjected to pretreatment operating such as word segmentation, coreference eliminating, redundant information removing and analysis unit dividing; the content of the text is subjected to subject analysis with a topic model to obtain subject distribution in the text; a graph model is built according to subject incidence relationships between analysis units, and weights of all directed edges in the graph model are calculated; the graph model is calculated with the contribution iterative method till is converged, and the text summarization with the suitable length is generated as requirement. According to the text abstracting method, mass unstructured text data can be automatically analyzed, the text summarization with which a core topic can be fully covered is obtained to serve as replacement of mass original data, and therefore the quick understanding aim is achieved.

The invention discloses an Android application program code protection mechanism identification method. The method includes: loading APKs (Android packages), and subjecting the APKs to preliminary and in-depth reverse engineering decompiling to acquire a source code; analyzing whether the source code is mixed or not and whether the source code has structure protection or not; subjecting analysis result sets to classification and arrangement to enable result sets which can be understood by computers only to be describe by using language understandable for human beings, and outputting results by means of report forms; for the APKs which cannot be subjected to reverse engineering and decompiling automatically by a machine in the process of analysis, adding manual identification labels, extracting the APK having the manual identification labels after analysis is completed, and acquiring results after manual identification. By the method, whether the code has a protection mechanism or not and which protection mechanism is adopted can be effectively identified.

The invention relates to a business operation intelligent decision support system and a method thereof. The business operation intelligent decision support system comprises a data warehouse module, a statistical analysis module, a front-end display module and a system management module. The data warehouse module is used for organizing and normalizing source data of the existing service systems, and finally forming data required for operation analysis. The data warehouse module extracts data in service systems by adopting a method of directly extracting the data or extracting the data after processing the data acquired locally into files. The statistical analysis module is used for processing and refining the service system source data for data conditions of profit points and the service systems, so as to form statistical analysis elements oriented to different user analysis levels. The system management module is used for providing necessary management and monitoring functions, realizing management and monitoring of operation analysis systems at various levels, and guaranteeing stability of the systems. The front-end display module is used for providing flexible and diversified presentation modes for each subject analysis, and sending out early warning for abnormal analysis results.

The invention discloses a comprehensive assessment method based on the effect of a distribution type electrical connection on a power distribution network. The comprehensive assessment method is characterized in that a comprehensive assessment index system of the effect of the distribution type electrical connection on the power distribution network, three-level index values under different distribution type electrical connection schemes are worked out by analyzing the power distribution network including a distribution type power source, a standard decision matrix of an assessment index is established, the weight coefficients of a one-level index, a two-level index and a three-level index are respectively obtained, accordingly, the comprehensive weight coefficient is determined, the comprehensive assessment satisfaction degrees of different distribution type electrical connection schemes are finally worked out, and the scheme with the largest comprehensive assessment satisfaction degree serves as the optimal distribution type electrical connection scheme. The comprehensive assessment method avoids the insufficient data information amount probably occurring through the single utilization of the object analysis method and also avoids the subject randomness of direct utilization the subject analysis method, and complex links of detecting and judging the matrix consistency are reduced while the judging fuzziness of people is taken into consideration.

The invention discloses a method, a system and a device of automatic data collection. The method has the following steps: a data dispatching task is established; and data is led into a database according to a preset data lead-in condition and the data dispatching task. The embodiment of the invention realizes the purpose of automatically collecting documents issued by a company / group, data of manual collection and the data without a data passage of the source system into the database of the running analysis system to provide the functions of data collection, browsing, summarizing, and the like in an unified interface for the user, and simultaneously can be used for other modules, such as report forms, subject analysis, and the like.

The invention discloses a satellite system multidisciplinary optimization method based on multi-model fusion, and belongs to the field of spacecraft system design. The implementation method comprises the following steps: establishing a satellite system key subject analysis model, and optimizing a design variable by taking the satellite system quality as an objective function; in order to improve the solving efficiency of the system scheme optimization problem, a high-precision model and a low-precision model of the geosynchronous orbit transfer subject and the satellite platform structure subject are established, and a Co-kriging agent model is used for fusing model data with different precisions;, sequence filling sampling is carried out through multi-objective optimization with the expected improvement degree and the feasibility probability being comprehensively considered, then the design space is fully explored, and the Co-kriging agent model is updated and managed, so that a scheme which meets the task requirements of the satellite system and has the minimum total mass of the satellite is efficiently obtained, the calculation cost of satellite system optimization is reduced, and the optimization efficiency is improved. The method is helpful for solving the technical problems in other related engineering fields.

The invention discloses a label determination method and device, and belongs to the technical field of computers. The method comprises the following steps: acquiring a target key word set corresponding to a target application program, the target key word set including a first type of key words; acquiring a reference key word set corresponding to reference application program, the reference key word set including the first type of key words and / or a second type of key words; and determining a label corresponding to the target application program according to the target key word set and the reference key word set based on a preset algorithm, and / or determining the label corresponding to the target application program according to the target key word set and the reference key word set based on a subject analysis model. As the label corresponding to the target application program is not determined by an extension worker and / or a developer according to a subjective judgment, but is obtained by a server according to all the collected key word sets and the preset algorithm and / or the subject analysis model, the determined label is more accurate.

The invention provides a software clustering-based source code function search method. The method comprises the following steps of: inputting a source code; carrying out grammar inspection on the source code and acquiring class information of the source code; and completing a search process through two modules, wherein the two modules comprise a software clustering module and a function search module, the software clustering module is used for screening an entity from acquired class information, constructing an entity index, extracting a feature, constructing a feature vector, screening information through hierarchical clustering, and storing a result, and the function search module is used for constructing an input set from the acquired class information, completing subject analysis, constructing an index and storing the index. The method provided by the invention can effectively enhance the software clustering result, and has good guiding function in the aspects of practical source code reading and system maintenance. Developers can use the method to guide the previous exploration, accelerating project understanding and enhance the development efficiency. And through further development, the method can be used for completing the multiplexing of function modules.

The invention discloses a satellite constellation system multidisciplinary design optimization method based on an agent model, and belongs to the field of spacecraft constellation application. The method comprises the steps of on the basis of the Walker-delta constellation configuration and a small-sized earth observation satellite structure, establishing a key subject analysis model of the satellite constellation system by comprehensively considering the design requirements of the constellation configuration and a satellite subsystem; adopting a sequence radial basis function based on a support vector machine and a discrete-continuous variable sampling method and taking the satellite constellation system mass as an objective function to optimize a preselected design variable; mapping thediscrete variables in a continuous space through a discrete-continuous variable sampling method; replacing an original analysis model with an RBF agent model; identifying an interest interval by adopting an SVM (support vector machine), and performing sequence sampling in the interval to update and manage an RBF agent model, so that a design scheme which meets the requirements of constellation configuration and a satellite subsystem and has the minimum total mass of the satellite constellation system is efficiently obtained, the calculation cost of the satellite constellation system is furtherreduced, and the optimization efficiency is improved.

Provided is a geo-environmental simulation and prediction platform for coupled geo-environmental elements. The platform comprises an infrastructure layer, a data layer, a supporting layer, an application layer and a presentation layer; the application layer comprises a basic module, a data management module, a data mining module, a subject analysis module, a regional analysis module and a compressive assessment module, wherein the basic module is used for serving as basic auxiliary of the simulation and prediction of typical regions; the data management module is used for the simulation of typical regional elements; the data mining module performs ground-object recognition, change detection, trajectory analysis, hot point detection and visualized analysis; the subject analysis module conducts geopolitical pattern analysis, geopolitical conflict analysis and geopolitical relation analysis; the regional analysis module analyzes specific regions; and the comprehensive assessment module conducts terrorist attack risk evaluation, armed conflict risk evaluation and geo-environmental risk comprehensive evaluation. The geo-environmental simulation and prediction platform for the coupled geo-environmental elements provides a set of visualized and visual analysis platforms for geo-environmental researchers, decision-makers and managers, and can assist the researchers in analysis and decision-making.

The invention discloses a novel semantic analysis method and system for large-scale document themes. The method comprises the steps of detecting whether classification information exists in a known document set or not, and if yes, executing a supervised subject generation step to generate and obtain a plurality of theme sets; otherwise, executing an unsupervised subject generation step to generate and obtain a plurality of theme sets; and according to the obtained theme sets, calculating a degree of correlation between a document needed to be analyzed and each theme set, thereby obtaining a theme distribution state, about the theme set, of the document. The system comprises a theme set generation unit and a theme analysis unit. According to the method and the system, theme generation can be automatically, quickly, flexibly and effectively finished in large-scale document data, and theme distribution of any given document in theme generation can be analyzed and assessed. The method and the system are suitable for an occasion of quickly generating the themes.

The invention discloses an intelligent association analysis method and system for a user television and online behaviors. The method includes the following steps: firstly, collecting data related to the user television and online behaviors of different systems; associating the data of the different systems to form a complete information link that reflects user subscription, consumption, viewing behaviors and the online behaviors; and then performing data modeling on the associated data to obtain multi-dimensional statistical data, labels and user portraits; and finally using an established mathematical model to perform customer insight and marketing services, providing subject analysis reports required for business analysis of enterprises, and providing contents and products recommended byuser services. According to the scheme of the invention, the user television and the online behaviors are intelligently associated through an association rule, data islands are broken, the complete information link of user viewing behaviors and user online behaviors can be formed, and thus the more comprehensive understanding of users can be facilitated, and the accuracy and quality of the marketing services can be improved.

The invention provides a hot word analysis and statistic system and method. The hot word analysis and statistic system comprises a subject analysis module, a focus vocabulary module, a word segmenting service module, an index service module, a lexical unit statistic module, and a hot word analysis module, wherein the subject analysis module is used for determining an analysis data source, defining an analysis subject, and defining the data type of each field; the focus vocabulary module is used for forming a focus vocabulary sequence; the word segmenting service module is used for extracting data information from a corresponding field, and segmenting words in the data information according to the focus vocabulary sequence, so as to generate a lexical unit sequence; the index service module is used for recording the index position, in a corresponding field, of each lexical unit, and recording data information corresponding to the lexical unit, so as to generate a lexical unit index file; the lexical unit statistic module is used for counting the number of each lexical unit; the hot word analysis module is used for feeding back the generated hot word related information and the word frequency of each hot word to a user. The hot word analysis statistic system and method have the advantages that accurate statistics of hot words and index storage related to the hot words are realized; the type analysis requirement of the hot words can be met; the hot word statistic accuracy is improved.

The invention discloses a visualization processing method and system of user feedback information. The method comprises the following steps: obtaining user feedback information data from a server database, and preprocessing the feedback information data; according to a preprocessing result, carrying out subject analysis, and constructing word cloud visualization processing to obtain a visualization word cloud; according to the feedback information, constructing quick inverted sorting index processing for the visualization word cloud to obtain the inverted sorting index of the feedback information; and according to the inverted sorting index, displaying the visualization word cloud of a keyword corresponding to a theme clicked by a user. In the embodiment of the invention, the user feedback information can be quickly obtained through the visualization word cloud, and the use experience feeling of the platform user is improved.

The invention discloses a method for generating threat intelligence. The method includes the steps of obtaining source articles according to a preset period, and conducting preprocessing on the source article to generate text source articles; conducting subject analysis on the text source articles, and screening out the text source articles relative to a safety subject; screening out a safety statement relative to IoC from the text source articles relative to the safety subject, and judging whether or not the safety statement is an IoC item; if yes, conducting standardized processing on the safety statement to generate standard IoC data. By using the method for generating the threat intelligence, the structurized threat intelligence can be automatically extracted and generated, procedures of analyzing and collating information in a manual mode cannot be involved, collating of the threat intelligence can be more orderly and quicker, and the method has a significant value on safety research and safety capability improvement. The invention also discloses a system for generating the threat intelligence, and the system is provided with the advantages above.

The invention relates to a learning machine with a communication function. A learning machine desktop comprises a growing book and a workbook and is characterized by also comprising a short message system and a contact book, wherein the short message system comprises academic records, subject analysis, developed courses of study, learning condition tables and student status cards; the contact book comprises home-school communication, inbox, sending of parent messages, sent information, release of parent evaluation and student evaluation; the workbook comprises lesson resources, teaching design, teaching instruction, class exercises and homework; the growing book comprises a student learning and growing manual, home-school communication, self-assessment and peer assessment and class information browsing; and the student learning and growing manual comprises basic conditions, growing processes, a honor list, diaries, a timetable, academic records, subject analysis, developed courses of study, learning condition tables and student status cards. The invention has the beneficial effect of solving the problem of communication and contact of learning modules in the operating system of the learning machine.

The invention discloses a hot event detection method for social network based on multiple data stream calculation. The hot event detection method comprises the following steps: extracting word features of short text data of user-generated content and making a subject analysis of the word features; establishing differentiations between themes and cohesion within themes and taking sudden themes as features of the user-generated content; establishing self-adaptive unsupervised target decisions with a fuzzy set theory; granulating data of each single data stream and measuring importance and relevance of a multi-granularity structure of multiple data streams in order to reduce and determine relevance of multiple granular structures; and making a coverage analysis of different granule structuresaccording to relevance and target decisions in order to establish calculation of a multi-granularity space and detect hot events. With the hot event detection method, unsupervised and self-adaptive decisions can be made. Multi-source heterogeneous data can be calculated. Hot events in social network can be effectively detected.

The invention discloses a defect location method based on text subject analysis of defect reports. The defect location method based on the text subject analysis of the defect reports comprises the steps that to solve the problem that the defect reports bring serious burdens to developers, the text analysis is conducted on solved defect reports in a defect tracking management system, a correlation between the defect reports and repairing codes is obtained, and unsolved defect reports are analyzed with the correlation, possible source code file lists to be repaired of new defect reports are provided for the developers, and therefore the maintenance efficiency of a software project is improved. On the basis of a supervised type text subject model Labeled-LDA (LLDA), a modified model of Label to Substrings (L2SS) is put forward. Experiments on an open source project Eclipse data set show that the defect location method based on the L2SS model has higher predictive effect than that of a traditional text subject model.