208 results about "Information index" patented technology

A secure medical records maintenance system including a first server that stores patient identification information indexed by patient identification numbers (PINs) and a second server that stores patient medical data indexed by medical record identification numbers. For security purposes, the medical data maintained in the second remote server cannot be correlated to the associated patient identification information maintained in the first server based on the information contained in the servers. A correlation table uniquely associating each medical record identification number with a particular one of the patient identification numbers is used to allow correlation of the databases. The correlation table for a particular patient typically resides on a patient's removable memory storage device (smartcard). The correlation table for a practaioner's patients may also reside on the practitioner's computer, which is associated with the licensed medical practitioner having an assigned professional registration number

The invention discloses a density evolution based polarization code constructing method and polarization code coding and decoding system. According to the invention, the code length N and the information bit length K of an information code to be processed are obtained, an expectation value set of a log-likelihood ratio probability density function of N bit channels, K bit channels are selected as the information bit channels according to the expectation value set and information bit information index vector quantity is generated; an information bit sequence and a fixed bit sequence are mixed and the mixed bit vector quantity is multiplied by a polarization code for generating a matrix so as to output an encoding sequence; the encoding sequence is modulated and input into a transmission channel and the sequence output by the transmission channel is subjected to decoding operation by adopting a polarization code decoding algorithm, bit error probability and frame error rate of the decoded code are calculated and a design signal to noise ratio is changed, the above operation is repeated until the bit error probability and frame error rate become the minimum. The method and system provided by the invention are suitable for general binary system memoryless channels, the bit error probability and frame error rate are low, the calculation complexity is low and the communication performance of a communication system is improved.

A device and method designed to carry out the computation of a wide range of topological indices of molecular structure to produce molecular descriptors, representing important elements of the molecular structure information including but not limited to molecular structure variables such as; the molecular connectivity chi indices, mXt, and mXtv; kappa shape indices, mκ and mκα; electrotopological state indices, Si; hydrogen electrotopological state indices, HESi; atom type and bond type electrotopological state indices; new group type and bond type electrotopological state indices; topological equivalence indices and total topological index; several information indices, including the Shannon and the Bonchen Trinajstic information indices; counts of graph paths, atoms, atoms types, bond types; and others.

The invention discloses webpage information classifying method and system, relating a storing mode of information index, in order to solve problems that the searching service provided by existing information index mode can only provide inaccurate searching results, low searching quality, inconvenient operation to user. The method comprises: establishing an initial classification of the webpage information; if the information amount in of any classification reaches the preset value, splitting the classification; the splitting step comprises: carrying out clustering operation according to similarity among webpage, in order to cluster webpage whose similarity reaches the preset value in a same classification; then setting the rest of the webpage into a isolated webpage classification. The invention totally improves the span and depth in information classification, capable of supporting more application services. The invention also claims a service system applying the classification.

An intelligent information retrieval system for finding information components corresponding to an input query word. The system includes a synonym block for finding synonymous indexed keywords of the query word; an information indexing block for finding corresponding information components based on the indexed keyword; a component ranking-filtering block for ranking and filtering the found information components and outputting the desired information components being selected; a synonym adjusting block for adjusting the fuzzy mechanism of the synonym block based on the found information components; and a filtering adjusting block for adjusting the fuzzy mechanism of the ranking-filtering block based on the found information components. The aforementioned synonym block and information-indexing block are implemented by neuro-fuzzy networks for accelerating parallel processing and automatic learning. Further, the synonym block can tolerate input errors by way of query word encoding and position shift compensation.

The present invention discloses a method and a system of information searching in the field of communication and solves the problems existing in the prior art that the searched information is far deviated from the topic and that the searching engine is overloaded and slowish. The present invention matches the key words inputted by users with the words in a topic keyword bank to determine the topic keywords, searches out the interrelated information closer to the intentions of the users and sorts the information to facilitate the users to see the information closest to the intentions, and simultaneously updates the topic keyword bank regularly or irregularly. The searching system consists of a user browser, a searching device, a topic keyword bank, an information index bank and an information-placing device, wherein, the searching device consists of a communication interface, a word-segmenting module, a filtering module and a searching engine.

The invention discloses a keyword based evaluation expert intelligent search and recommendation method. The keyword based evaluation expert intelligent search and recommendation method specifically comprises step 1, segmenting an expert information main text into substring sequences, performing ICTCLAS word segmentation of Chinese academy of sciences and performing stop word filtering on the result of the word segmentation to obtain the word collection; step 2, extracting feature words of the expert information according to fields; step 3, building an expert knowledge representation model based on the fields and the weight of the feature words and establishing an expert information index database; step 4, performing automatic prompting according to a search term thesaurus when a user inputs keywords and meanwhile performing real-time update on the search term thesaurus through a search term counter; step 5, calculating the search relevance between the keywords and the expert information based on the semantic information and the like; step 6, listing relevant experts from high to low according to the matching degree. According to the keyword based evaluation expert intelligent search and recommendation method, the intelligent full-text search and recommendation of the expert information can be achieved through the keyword input and accordingly the experts which are matched with a pended science and technology project can be searched out accurately.

The invention provides an intelligent review expert recommending method for science and technology projects. The method includes the following steps that (1) the science and technology projects to be reviewed and expert information main texts are segmented into substring sequences, ICTCLAS segmentation of Chinese academy of sciences is carried out on the substring sequences, and stop word filtering is carried out on a segmentation result to obtain a term set; (2) a term network of project information is built, feature words are extracted on the basis of statistical characteristics and aggregation characteristics, and if expert information is relatively concise, the term set obtained in the step (1) directly serves as the feature words; (3) a knowledge representation model is built on the basis of fields and weights of the feature words, and a relative information index is built; (4) experts are recommended in groups to carry out feature merging operations between the fields and between the projects on the knowledge representation model; (5) similarity of the experts and the science and technology projects or groups to be viewed is calculated on the basis of semantics, threshold truncation is set, and a final recommended expert list is generated. By means of the method, the problems that recommending workload is large and review decisions lack scientificity are greatly alleviated.

The invention discloses a user loss prediction method and system, and relates to the technical field of networks. The method comprises the following steps of acquiring basic information indexes and behavior information indexes of users from a server; selecting part of the users from the users acquired in a statistics period to serve as sampled users, and selecting target indexes and M indexes of the sampled users; building a potential lost user identification model through a decision tree algorithm according to the target indexes and the M indexes of the sampled users; and taking values of the M indexes acquired after the statistics period as input variables of the potential lost user identification model, obtaining a loss probability of the users corresponding to the M indexes, and if the loss probability is greater than a set threshold, judging that the users are potential lost users. According to the method and the system, through the potential lost user identification model built based on the selected basic information indexes and behavior information indexes of the users, the model solidification is simple and convenient, the modeling efficiency is high, and the potential lost users can be accurately identified.

The invention provides an information exhibiting method and device. The information exhibiting method comprises the following steps that an inquiry keyword is obtained from inquiry information input by a user; an exhibiting template, matched with the inquiry keyword, in the template library and all element types corresponding to the exhibiting template are obtained, the template library comprises at least one exhibiting template, and each exhibiting template comprises the exhibiting area of at least one element type; according to the keyword and the element types, information content and / or information links which are matched with the inquiry keyword and correspond to each element type are obtained from an information index library; the information content and / or the information links corresponding to each element type are correspondingly aggregated on the exhibiting areas corresponding to the element types in the exhibiting template; an aggregation result is exhibited to the user in a page mode. Through the information exhibiting method and device, a search engine can provide the user with the information related to the inquiry keyword while the user does not need to change input.

The invention relates to a microblog-oriented emotion entity searching system. The emotion entity searching system comprises a user interface (1), a query expansion module (2), a query processing module (3), an emotive information mining module (4), an emotive information judging and index building module (5) and a reverse index building module (6). The user interface (1) is used for interaction between a user and the system, and the user can submit a query request through the user interface and obtain a feedback result; the query expansion module (2) is used for carrying out word relation mining on microblog corpus data and building a weighting word relation graph in combination with a WordNet ontology base; the query processing module (3) is used for converting the query request of the user into query key words or query statements and for carrying out query expansion on the basis of the word relation graph built by the query expansion module (2), wherein the query key words or the query statements can be accepted by an index base; the emotive information mining module (4) is used for performing emotion mining on the microblog corpus base and generating a judging rule for emotion entities and emotion polarities; the emotive information judging and index building module (5) is used for judging the emotion entities and emotion polarities, building an emotive information index and storing the emotive information index; the reverse index building module (6) is used for building a reverse index for microblog text information and storing the reverse index. The microblog-oriented emotion entity searching system solves the problems that difficulty exists in microblog emotion entity extraction, emotion polarity analysis, emotion entity search and the like, and a novel intelligent searching product is provided for analyzing and monitoring social networking public opinions.

The invention discloses a rolling bearing fault diagnosis method based on variational mode decomposition, which is used to analyze a rolling bearing fault based on a vibration signal. First, fault information enhancement processing is performed on a signal collected by a sensor using a predictive filtering method; then, variational mode decomposition is performed on the filtered signal to get four modes; next, a mode most relevant to a rolling bearing fault is selected according to a fault information index; and finally, an envelope autocorrelation spectrum analysis of the filtered signal is made, and fault characteristic frequency matching is performed to get fault information.

The invention discloses a distributed small file storage system based on UDP (User Datagram Protocol) and a data processing method thereof. The system comprises a first server, a second server, a third server, a fourth server and a fifth server, wherein the first server comprises an external server and a service monitoring server; the second server comprises a global naming server and a service monitoring server; the third server comprises an information index library server and a service monitoring server; the fourth server comprises a task managing server and a service monitoring server; the fifth server comprises a storing server and a service monitoring server; and the first server, the second server, the third server, the fourth server and the fifth server mutually transfer and process data through a UDP refitting protocol. The system can enhance the concurrent ability and the high-speed I / O (Input / Output) ability of the whole platform, and solve the problems of high-capacity storage and load balance by utilizing the UDP refitting protocol as a communication protocol of an interior server, and is especially suitable for the online services taking files as carriers.

The invention discloses a multidimensional information fusion-based comprehensive e-commerce product scoring method. The method comprises the following steps of: obtaining multidimensional informationsuch as shop information, sales volume information and comment text information of e-commerce products; data preprocessing: carrying out data cleaning and data conversion on numerical type data, andcarrying out word segmentation and part-of-speech tagging on comment texts; mining the multidimensional information: carrying out data reduction and principal component regression analysis on the shopinformation and the commodity sales volume information to obtain shop information indexes and commodity sales volume indexes, carrying out emotion analysis on the comment texts, and obtaining a product feature score radar map through a quantification method and a clustering method; and commodity total score calculation: designing a fusion function and calculating a commodity total score. The method can be applied to commodity information-based commodity recommendation systems, is capable of efficiently and conveniently recognizing high-quality commodities so as to ensure that the designed recommendation systems are more rapid and correct.

A time-shift TV set video matching method which combines program content metadata and content analysis belongs to field of electronic information technique. Steps are following: (1) capture of metadata: picking up video program metadata information as package identification symbol, parsing as digital broadcasting operation information rules, and building metadata information index for transferring of inquiring module; (2) video matching in compressed code flow: firstly the video sequence is comminuted into scenes, and selecting key frame within scenes, then picking up movement characteristic and statistic characteristic of key frame to build video structure storeroom and characteristic storeroom, at last searching as inquiring characteristic of user, results which are sequenced for user. The invention makes the best of current technique, adds the metadata high level semanteme characteristic, considers the feedback opinion of user, and increases the precision of result.

The invention provides a distributed video vertical searching method and system. The method includes an offline processing step and an online processing step. The offline processing step includes video capture, video storage and video information index building. The online processing step includes user interaction and video indexing. The method and system has the advantage that a distributed video vertical searching technical scheme based on Hadoop and Elastic Search is provided based on the video field, an effectively distributed searching scheme is provided for massive video data, batch fast collection, real-time searching and the like of massive videos are achieved, high-efficiency real-time search is achieved, and quick collection work for offline processing of the massive videos is achieved.

The invention discloses a double-CPU communication method based on shared memorizer. A dual-way transmitting channel is arranged between a first CPU and a second CPU. Each channel uses two ring queues, with one for placing information index and the other one for placing information body; and each channel transmission includes the following steps: initialization flow: complete the initialization of the queue reading finger under the charge of the CPU; information transmission flow: write new information bodies into the queue of information body and upgrade the writing finger of information body queue, namely pointing to the usable unit behind the new information body; upgrade the content of the unit pointed by the writing finger of the information index queue, point to the new information body in the information body queue, and make the writing finger of information index queue to the next unit; and information-receiving flow. Because of introducing index queue and body queue into the shared memorizer, the invention supports the changeable length of information, thus lowering the waiting time of the sender and receiver, enhancing the utilization rate of CPU, and increasing the data throughput and handling speed.

This invention discloses an information index method in a relation-type database including the following steps: structuring a dimensionality reduction strategy tree to be set in a database system, in which, said tree includes at least a sub-node and a root node, each sub-node includes the identification information of the local node number and enquiry condition combination information and lower level sub-node number, when searching said database according to user enquiry condition but does not get the necessary data, it structures new enquiry conditions based on the strategy tree, searching the database according to a new enquiry condition till getting the necessary data or enquiring the root node of the tree to feed back information of the undesired data. This invention discloses an information index device in a relation-type database including: an enquiry condition obtaining unit, an enquiry condition output unit, a strategy tree storage unit and an operation unit.

The invention discloses a method for resuming transmission from a break-point for a reliable file receiving system on the basis of a unidirectional broadcast network, which comprises the following steps: firstly, slicing files to be transmitted according to the fixed size; secondly, attaching offset information and check information to each sliced file; thirdly, submitting a combined application data unit to a reliable multicast layer to split the application data unit into data blocks at the layer; fourthly, coding the data blocks so as to generate corresponding redundant data blocks; and fifthly, transmitting all the data blocks in a scrambled mode by a file transmission service terminal. When a user terminal receives the file, an information index file of the file is created for recording the receiving situation of the file data blocks. When the file receiving is resumed after break, information record files are checked to determine whether the transmission of the file needs to be resumed, and the transmission of the file is resumed according to the attached information. By adopting the method, the file can be received continuously from the break-point and the redundant and time-consuming write operation is skipped over to reduce writing times of a disk to protect the disk, thus the aims of reducing the I / O times and the CPU occupancy rate and saving hardware resource of a receiving end is achieved.

A system includes a display, and a database including surgical videos, images of organs in a human body obtained from a medical imaging device, and images of disease in a human body obtained from the medical imaging device. A controller including a processor is coupled to memory, the database, and the display, and the memory stores information that when executed by the processor causes the system to perform operations. For example, the processor may determine first organ information from the images of the organs, and first disease information from the images of the disease. The processor my calculate a similarity score between the first organ information and the first disease information and second disease information and second organ information indexed to the surgical videos. The processor selects one or more of the surgical videos based on the similarity score, and displays the surgical videos on the display.

The invention discloses a pixel type based assessment method of image quality by utilizing structural similarity, comprising the following steps: (1) computing gradients of the reference map and the assessment map by the Canny method, simultaneously obtaining two thresholds representing the strong and weak boundaries of the image gradient values, dividing each pixel position in the image into marginal, texture and flat regions and establishing the regional weight map (RWM) with different weights in different pixel region types; (2) comparing the brightness, contrast and gradient structural similarity of the reference map and the assessment map to obtain the gradient structural similarity (GSSIM) index; and (3) carrying out point multiplication on the RWM and the GSSIM obtained in the steps (1) and (2) to obtain the degeneracy information index map with different weights in different pixel regions and obtaining the mean of the map to obtain the assessment value for assessing the image quality. The method can be widely applied to each stage of image processing, can rapidly give the specific index value for measuring the image quality and is high in accuracy and strong in practicability.

The invention belongs to the technical field of uranium resource prospecting methods, and particularly relates to a method capable of effectively detecting deep uranium mineralization information. The method comprises the following steps of (1) setting measuring points in a working area, placing an activated carbon detector on the ground at each measuring point, simultaneously digging a round pit in the ground at each measuring point, and burying an activated carbon detector in each round pit; (2) taking out the ground and underground activated carbon detectors at each measuring point, and measuring radon concentration values on the ground and at an underground depth h; (3) calculating a perpendicular change gradient value G of radon concentration at each measuring point; (4) calculating a radon concentration value at a burial depth of 40cm at each measuring point; (5) calculating a mineralization information index Ei corresponding to an ith measuring point; (6) identifying advantageous areas for deep uranium mineralization by adopting a concentration and frequency fractal method; (7) determining areas with mineralization information indexes E greater than pm as the advantageous areas for uranium mineralization according to identifiers, determined by the step (6), of the advantageous areas for uranium mineralization.

The invention relates to a mobile phone information classification management method, which comprises the following steps of: setting the user-defined inbox icon identifier; selecting the icon of the user-defined inbox; setting matching conditions of the user-defined inbox; creating a folder information index list which accords with the matching conditions according to the attribute of the received information, and the like. The method can effectively classify and manage short messages and multimedia messages, provides a convenient and flexible switching mode and makes a user classify the information more meticulously and extract and delete the information more rapidly and conveniently.

A distributed data mining method and system includes a mediator and a plurality of agents, each of said plurality of agents having a local database. The mediator invokes the agents and each agent performs an attribute / value selection process. The agents pass their respective best attribute / value pair to the mediator and the mediator determines a winning agent from the submissions. The agents are notified of the winning selection and the winner then begins data splitting based on the willing attribute / value pair. The winning agent forwards a split information index to the mediator. The mediator provides the split information index to other, non-winning agents and the agents generate rules for the data mining.

The embodiment of the invention discloses a method and device for determining the webpage image relevancy and displaying the retrieved result. The method for determining the webpage image relevancy includes the steps of obtaining an image in a target webpage, determining the relevancy between the image and the target webpage according to at least one of the position of the image in the target webpage, the surrounding information of the image and the relevancy between the image and the theme of the target webpage, and establishing a webpage image information index database according to the relevancy between the image and the target webpage. By means of the method and device for determining the webpage image relevancy and displaying the retrieved result, the relevancy between the image and the target webpage can be determined, the webpage image information index database can be established, the main image of the webpage can be displayed in the retrieved result, so that a user visually obtains the theme of the webpage through the main image of the webpage and judges whether the webpage is the correct retrieved result or not, and user retrieval efficiency is improved.

A video conference invitation is sent from a computing device in a first conference room to a second conference room for a video conference. Further, an acceptance of the invitation is received at the computing device. In addition, a list of available devices for video conferencing is retrieved from a device information database. The list of available devices indicates a locally connected device and a remotely connected device. The computing device is connected to the video conference through a platform independent interface. Further, the computing device locally controls operation of the locally connected device through a platform independent interface during the video conference and remotely controls operation of the remotely connected device during the video conference.

The invention discloses an agricultural specialist information retrieval system and method on the basis of an agricultural technology information ontology library. The method comprises the steps of acquiring agricultural technical inquiry statements of a natural language form; performing word segmentation treatment on the inquire statements of natural languages and performing information extraction of region and field so as to obtain search keywords; judging whether vocabularies related to an ontology semantic concept exist or not in the search keywords according to a preset agricultural technology information ontology library; when judging that the vocabularies related to the ontology semantic concept exist in the search keywords, performing ontology semantic extension on the search keywords according to the preset agricultural technology information ontology library so as to obtain an ontology semantic extension set; accessing a preset specialist information index database according to the ontology semantic extension set and performing specialist information retrieval so as to generate a specialist information retrieval result. According to concrete demands, specific field and region information is extracted from the retrieve information, and the matching degree of information to be retrieved and specialist information is improved.

The invention provides an SOA-based comprehensive enterprise level information system operation and maintenance management method. The method comprises steps: modular system integration is carried out; functions of the system are packaged to services; an information index early warning threshold is made; system operation, service data integration, cleaning and relevance are carried out; acquired data are judged whether to exceed the early warning threshold; and early warning threshold is carried out. Heterogeneous information system integration is realized based on an SOA architecture, the effective integration problem of operation and maintenance work by the information system is solved, the operation and maintenance ability of the information system is enhanced fully, and lean resource configuration of the information system is realized via a comprehensive monitoring mode. With the help of the prior EBS service bus, the Web service, XML and other technical means, separation of business and service is realized, data cleaning and escape rules are made, the data format of the heterogeneous information system is unified, message interaction barriers are eliminated, and according to the pre-defined early warning information and the key index decision making model, system operation and business operation situations are analyzed, and decision making basis is provided for operation and maintenance management and business services.

The invention belongs to the field of NDN, and specifically relates to an NDN (Named Data Networking) route system based on content clustering, and a clustering query method therefor. The system comprises a cluster-head node information base which is used for storing the information of each class cluster: class cluster name ClassName and class cluster node ID; an in-cluster node information index table which is used for recording the information of nodes in class clusters: node ID, node name NodeName, access times Times, and updating time UpdateTime. Each class cluster has one in-cluster node information index table corresponding to the class cluster. According to the invention, the system and method achieve the clustering of NDN, and divide the NDN into a plurality of types according to different content types, thereby forming class clusters. The system and method achieve the direct positioning of contents, reduce the transmitting times of requested interest packages, improve the route efficiency, and are easy for network management and maintenance.