78 results about "Search analytics" patented technology

A system, methods and apparatus are described involving the self-organizing dynamics of networks of distributed computers. The system is comprised of complex networks of databases. The system presents a novel database architecture called the distributed transformational spatio-temporal object relational (T-STOR) database management system (dbms). Data is continuously input, analyzed, organized, reorganized and used for specific commercial and industrial applications. The system uses intelligent mobile software agents in a multi-agent system in order to learn, anticipate, and adapt and to perform numerous functions, including search, analysis, collaboration, negotiation, decision making and structural transformation. The system links together numerous complex systems involving distributed networks to present a novel model for dynamic adaptive computing systems, which includes plasticity of collective behavior and self-organizing behavior in intelligent system structures.

A system for collecting traffic information that includes at least one first mobile node; at least one second mobile node; at least one data collection node; and a central processing station. At least one packet is transmitted between the first mobile node and the second node. The data collection node includes a packet search analyzer to determine an identifier that identifiers the first mobile node or the second mobile node from the at least one packet. The central processing station is linked to the data collection node and communicates traffic information associated with the identifier.

Embodiments of the invention include a merchant offer program application, which is downloaded onto a customer computer, and that works in connection with the customer's accounts at an institution. The merchant offer program application monitors the websites that the customer views, as well as the content the customer is viewing on those websites, such as the products offered for sale through the website or other information on the website. The merchant offer program provides additional information to the customer, such as special offers that are available for the product being viewed, the identity of other merchants that offer the product or a competing product, advertisements or offers regarding other ancillary products typically sold along with the product being considered, etc. The information sent to the customer can be based not only on the website product being viewed, but on the customer's past purchase behavior, account balances, interests, etc.

Disclosed is a context sensing-based intelligent mobile terminal field monitoring method. A monitoring system is arranged for monitoring. The monitoring system comprises a video acquiring end, a server end, and a video playing end, which are connected through a network. An intelligent mobile terminal acquires field video data and transmits the video date together with corresponding context data to the server end. The video playing end is connected with the server end through the network for checking videos and realizing the field monitoring. The method can allow real-time video acquisition and transmission at anytime and anywhere flexibly and conveniently and integrate context sensing information, such as filed video position information. Therefore, the interaction bottleneck is reduced; users do not need to classify the videos and add notes to the videos artificially; the searching and analyzing of the videos are facilitated; the system is enabled to have stronger adaptability; and the adoption of a mixed mode 3G mobile phone video transmission QOS strategy, the video quantity is good and the screen is smooth.

A system including an Internet based server running a central data repository database, and deploying spiders to scour the Internet analyzing the millions of product-oriented web pages and newsgroup postings, plus a server application for classifying and indexing all of the information derived from the spiders. The web server pushes downloadable—“Rich Internet Application” (RIA) client application to subscribers running client devices. The RIA client application is accessible directly from any other enabled native application to draw information from the central data repository. The RIA client application presents a navigational user-interface on the client device that presents an array of robust information tools necessary for consumers to obtain a comprehensive shopping and purchase support and participate in alternative marketplaces without leaving the other native application pages they are viewing.

The invention discloses a power supply path analyzing method based on an integrated model for allocation. The method achieves search and analysis of multi-voltage power supply paths of various operation devices in a whole grid, monitors real-time operation situations of the grid, provides observable integrated power supply path panoramic information for allocation for related workers, path automatic imaging is realized for display and the display means is more visual.

The invention relates to network information processing technology, and discloses a public opinion vertical search analysis system. The system for text-based network public opinion search analysis comprises a vertical search engine crawler module, a template-based information extraction module, a text orientation analysis module based on phrase extraction, a text orientation analysis module based on vocabulary statistical model. In comparison with the prior art, the accuracy of the information emotion orientation algorithm based on phrase model and the vocabulary statistical model is improved by about 5%, and the algorithm has remarkable improvement effect. Meanwhile, the execution efficiency of processing is improved by designing a multi-threading method, thereby realizing quicker and more accurate public opinion search analysis effect.

The invention belongs to the technical field of vibration monitor and control of steam turbine sets, in particular relates to a method for searching and analyzing the abnormality of signals during vibration and process of a steam turbine set. The method comprises the following steps of forming time sequences by history data with the preset group number; dividing each group of the time sequences into time subsequences, calculating mode characteristic values of the time subsequences and executing normalization processing; forming a mode characteristic value aggregation by the processed mode characteristic values; extracting a maximum value of all mode characteristics from the mode characteristic value aggregation and ranging in order from the largest to the smallest to form a mode characteristic extreme value sequence; gaining an abnormal characteristic boundary of the mode characteristic extreme value sequence; determining abnormal time subsequences; storing the abnormal time subsequences over the abnormal characteristic boundary in an abnormal change sequence; and executing optimal regression analysis on the abnormal change sequence based on coefficients of determination, and finding out a matched early warning grade according to an early warning mechanism rule. The invention increases the early warning precision and depth of vibration and process parameters.

The invention provides a data network, systems and methods for checking nodes of a data network that are used for detecting whether a privacy policy concerning an information is maintained. The information comprises a mark corresponding to the privacy policy. The mark defines the storage place or the accessing paths or the transferring paths of the information. The mark is automatically searchable. The mark is searched, analyzed and checked as to whether the privacy policy is maintained. The advantage of the system is that vulnerabilities of systems for protecting confidential information may be detected a long time before an attack on the confidential information occurs.

A troubleshooting support device includes a keyword file storage unit in which keyword files holding keywords constituted with character strings contained in logs related to trouble that occurs in the substrate processing apparatus stored in advance, are stored. A keyword to be used for log search, selected from a keyword file specified based upon input information provided via an input unit, is set and also, a category-specific log file to be used for log analysis is set based upon input information provided via the input unit. Logs in the category-specific log file having been set are extracted and incorporated, and an analysis log file is created by sorting the extracted logs in time sequence. When the logs in the analysis log file are displayed at a display unit, a log containing the keyword having been set is located by searching through the analysis log file and is displayed in a highlighted display.

The invention relates to a digital tool applicable to medical research, clinic consultation, teaching in schools and personal somatosensory, in particular to a system for digital analysis of human body and pathology. The system mainly comprises a three-dimension human body model processor module, a pathology document storage module, a pathology data search and analysis module, a multimedia server, video output equipment (such as projectors, displays or touch screens) and the like. A windows Chinese operating system or an android operating system is taken as a main running platform of the system, data of skin, muscles, tissues, organs, bones, acupoints and the like of the human body are recorded into the system by means of a virtual digital technique, and accordingly, a user can do analysis, research and study on detailed structure of the human body comprehensively at 360 degrees through a human-computer interaction technique; as various pathology data of different portions of the human body are recorded into the system, the user can do comparison visually and finally realize study, research and judgment and analysis of pathology.

The program recommendation device includes a search term receiver that receives at least one search term designated by a user, a partial match searcher that searches an electronic program list for programs having program information with words and phrases partially matching the search term designated by the user and outputs a partial match search result set, a language analyzer that performs a language analyzing process on the program information of each of the programs contained in the partial match search result set and outputs an analyzed search result set, an exact match searcher that searches the analyzed program information contained in the analyzed search result set for programs with words and phrases exactly matching the search term designated by the user and outputs an exact match search result set. A recommended program display displays programs contained in the exact match search result set as recommended programs.

The invention discloses a distributed parallel SPH simulation method. The method is characterized by comprising the following steps of creating a simulation model to be subjected to simulation analysis and initializing settings; computing a pressure value, stress tensor and an artificial viscosity value of each particle corresponding to the simulation model; carrying out search analysis on the simulation model in each set time step, wherein the search analysis includes the steps of respectively carrying out inner search on each determined parallel sub-region and carrying out region search on a boundary of each determined parallel sub-region after each parallel sub-region and the boundary of each parallel sub-region which are corresponding to the simulation model are determined; computing a state equation and a control equation which are corresponding to the simulation model; and outputting a corresponding simulation result based on a set end condition. According to the method, the storage space needed in the simulation process is saved and the communication traffic is greatly reduced, so that the computational efficiency is greatly improved.

The invention discloses a company short name identification method and system based on text rules. The method comprises the steps of carrying out short name extraction according to company full names needing to be identified and corresponding public company announcement texts, thereby obtaining to-be-detected short names, and carrying out validness analysis on the to-be-detected short names; and carrying out short name identification through network search according to the company full names needing to be identified. The system comprises an announcement text analysis unit and a search and analysis unit. According to the method and the system, the short name identification is carried out in an announcement text mining and network search rule combined mode, so the Chinese company short name accuracy is ensured, a recall ratio is greatly improved, and the identification effect is effectively improved. The method and the system can be widely applied to the field of identification.

A machining condition estimating apparatus, for estimating a long life-time machining condition, by suppressing boundary wears, from among plural numbers of choices of machining conditions, without building up database, comprise: a means for defining an analysis model presenting shapes of a tool and a cutting material, to be a target of analysis, and various kinds of machining condition parameters relating to relative positions between the tool and the cutting material; a means for setting up an initial value for use of analysis and change volume of the machining condition parameter as analysis parameters; a means for conducting geometric calculation of contact length, over which the tool and the cutting material of the model contact with, for each analysis parameter; a means for producing a distribution waveform, plotting the contact length “Lci” for each position “γi” of a point on each blade edge calculated, on “γi”−“Lci” coordinates, thereby to calculate a ratio of movement length of a boundary portion with respect to the maximum contact length (boundary movement rate) and a ratio of width, over which a tool blade contacts with the cutting material (contact rate); a means for searching the analysis parameter, with which the boundary movement rate or the contact rate comes to maximum, respectively; and a means for outputting a long life-time machining condition selected from the analysis parameters searched.

A method for multi-direction search of dynamic system state probability mapping matrix include the following: establishing the model of system simulation and fault injection, performing the discretization of system state space, randomly sampling a system originate grid element point, configuring system component status, setting simulation time step length and simulation test times, importing system originating grid element point information into simulation model through function assignment, executing and completing simulation test, counting system trajectory migration distribution in grid element, calculating system state conditional migration probability, generating system state transition probability matrix, and establishing system dynamic probability mapping network; initializing the search parameters, carrying out matrix dynamic search analysis, realize the path identification and search of the important risk sequence, calculate and predict the probability distribution of the system reliability with time. The invention can be used for generating system dynamic trajectory and state transition probability matrix, supporting matrix multi-direction searching calculation and obtaining dynamic reliability evaluation index.

The solution of the invention is meant to provide an intelligent business support system to support business decision-making in companies, characterised in that it has an expert module to generate answers to system user queries through an inference mechanism and a search and analysis application based on the data contained in the system's knowledge base that is editable with a knowledge base editor, to be generated from a data warehouse populated with an integration application and data sources using an executable program where answers to user queries are stored in a dynamic database and communication between the user and the knowledge base editor and the executable program is accomplished via a user interface.

The invention discloses an adaptive harmonic analysis system and analysis method. A programmable timer is used as a trigger source for signal sampling, a sampled signal is generated according to the system setting, a sampling circuit is triggered to carry out sampling and AD conversion on an input signal, and after sampling is continuously carried out for 2N times, sampled data is subjected to FFTanalysis. A maximum value in result data is searched and analyzed, a position of a fundamental wave spectral line is determined, and a frequency of a fundamental wave signal is estimated. A proper signal sampling frequency is selected according to the position of the fundamental wave spectral line, and a sampling signal frequency output by a trigger timer is set. When a sampling rate is within aproper range, amplitudes of all spectral lines in an FFT analysis result except for a direct current component, a fundamental wave component and a harmonic component are added to obtain spectrum totalenergy leakage. According to the total energy leakage, the sampling rate is continuously subjected to fine regulation so as to implement spectrum analysis with the minimum energy leakage.

The embodiment of the invention provides a construction method of a big data knowledge graph of a intelligent power grid. The construction method comprises the steps of obtaining power grid equipmentinformation and a connection relationship between power grid equipment from the power grid equipment by Neo4j; performing data cleaning on the acquired power grid equipment information based on a historical topology database; modeling the cleaned data according to the connection relationship between the power grid equipment; and performing topology search analysis on the established model to obtain a topology relationship knowledge graph between the target devices. Different knowledge models can be quickly constructed according to service requirements, hidden values in information of electricpower big data can be discovered, and efficient analysis of cross-region, cross-time and cross-space information resource panoramic data can be realized.

The invention relates to a method, for analyzing power system power oscillation disturbance source, based on SCADA (supervisory control and data acquisition) historical data search. The method includes the steps of firstly, calling a time sequence database interface of an EMS (enhanced message system) to obtain historical data of an active value of power equipment in a time period in batches, and placing the data in a cache according to a set structure and allowing the same to wait for queuing calculation; secondly, queuing calling, calling an oscillation feature iterative function of historical data in each queue for iterative processing, inputting new data on the basis of a previous state, calculating feature quantity of active oscillating of one grid equipment, comparing with a preset fixed value, and returning equipment state; thirdly, if equipment measurement oscillation occurs, generating and returning oscillation records; and fourthly, sorting and positioning an oscillating source, sorting collected records according to oscillation starting time, and positioning the first equipment as the oscillating source. By the method, data accuracy is improved, convenience and practicality are achieved, and credibility of real-time positioning result information of the oscillating source is high.

The invention relates to a multi-clamp mechanical arm disordered grabbing method and system.The multi-clamp mechanical arm disordered grabbing method comprises the steps that the current motion state of a to-be-grabbed object set is obtained; predicting of a motion track of each object in the to-be-grabbed object set is conducted; and an optimal grabbing sequence is selected through a Monte Carlo tree search analysis method according to the motion track of each object. The motion state is predicted and simulated, the optimal grabbing sequence is selected through the Monte Carlo tree search analysis method, an optimal solution can be obtained in a short time, and therefore the task of grabbing multiple objects can be efficiently processed.

Users in a medical mechanism can perform 360-degree rotation, zooming, whole observation and local observation operation for a primary tooth model through a three-dimensional digital primary tooth model processing module, and can load continuous physical parameters to clearly observe the important dynamic change process of eruption of the primary permanent teeth, primary permanent teeth root absorption, primary permanent teeth replacement and jaw development to search the development of the dental system and regulation and control thereof from a dynamic change rule to achieve the purposes of research and learning of mechanism and running conditions of each part of child deciduous teeth, understand the lesion data of each data of the child deciduous teeth through a pathological file storagemodule, input the pathological manifestations through a pathological data search analysis module and search and analyze pseudo disease cases.