474 results about "Database construction" patented technology

A novel system and method are disclosed for finding and serving consumer product-related information over the Internet to consumers. The system includes Internet information servers which store information pertaining to Universal Product Number (e.g. UPC number) preassigned to each consumer product registered with the system, along with a list of Uniform Resource Locators (URLs) that point to the location of one or more information resources on the Internet, e.g. World Wide Web-sites, which related to such registered consumer products. Upon entering the UPC number into the system using a conventional Internet browser program, the menu of URLs associated with the entered UPC number is automatically displayed for user selection. The displayed menu of URLs are categorically arranged according to specific types of product information such as, for example: product specifications and operation manuals; product wholesalers and retailers; product advertisements and promotions; product endorsements; product updates and reviews; product warranty / servicing; related or complementary products; product incentives including rebates, discounts and / or coupons; manufacturer's annual report and 10K information; electronic stock purchase; etc. As part of the product registration process, manufacturers are provided with turn-key database construction tools that allow them to create, maintain and serve on the WWW, limited versions of the UPC / URL databases which contain information relating only to the manufacturer's products, and no other manufacturers. The master UPC / URL database of the system is updated using the UPC / URL information in these manufacturer maintained UPC / URL databases.

The invention discloses a humming computer music searching method based on longest matching subsequence algorithm, which comprises the following steps of (1) fundamental tone frequency extraction, (2) music characteristic database construction, (3) characteristic expression achieving and (4) searching matching. The method has the advantages of improving integral speed of similarity calculation, improving searching efficiency of a searching engine, constructing an accurate music searching platform for karaoke, a network engine based on content search and a multifunctional intelligent mobile terminal platform and being capable of being widely used in fields of relative plugs of the network searching engine and the like. The method for music characteristic extraction, music characteristic expression and similarity accurate calculation can conduct accurate calculation on a humming searching system, enables music search to be accurate, slight and happy, and has strong practical value and reality meaning.

The invention discloses establishment of a virtual case library of cancer pathological images and a multi-scale cancer detection system based on a convolutional neural network. The system is based ona method of a convolution neural network, a cancer mass region is detected on a pathological full-scan section, and the system includes four modules: 1) a pathological section image preprocessing module; 2) a virtual case database construction module; 3) a high-scale cancer mass detection module; and 4) a small-scale cancer mass classification module. The multi-scale cancer detection system provided by the invention can make full use of the multi-scale information of a pathological image, on different scales, according to the characteristics of the image, different strategies are designed to detect a suspected cancer area, and at the same time, under the condition of insufficient training data, the virtual case library method established by the invention can provide more training data setsfor an existing data-driven deep learning method. The multi-scale cancer detection system based on a convolutional neural network has the characteristics of multi-scale detection, driving of a relatively small amount of data and the like, and has the characteristic of reducing computing resources required for one-time recognition and improving time efficiency of an algorithm on the basis of ensuring the overall recall rate and accuracy.

The invention relates to a generation method of a high-satisfaction video summary. Based on the characteristics of a video data structure, a shot cluster-based video summary system is designed and realized in the invention. The video summary system has the following main functions: coding, decoding and playing of various video files, shot boundary detection, key frame extraction, shot cluster, generation of both static video summary and user input time dynamic summary, and the like. The generation method is suitable for various application occasions, such as multimedia file management, video retrieval, and film and television database construction.

The invention discloses a metagenome 16S hypervariable region V3 based classification method and a device thereof. The method contains the following steps of: extracting DNA in microbial samples; carrying out amplification of metagenome 16S rDNA hypervariable region V3, carrying out Solexa database construction on amplification products, and simultaneously marking each sample by adding a connector with a label sequence in the process of database construction; mixing different samples with label sequences, sequencing by the use of a Solexa sequencing tool after mixing to obtain original sequencing sequences reads distinguished by labels; assembling by the use of reads overlapping relations to obtain hypervariable region V3 full-length sequences unique reads; and carrying out classification analysis on unique reads to accomplish classification of microbial population. By the adoption of the method and the device provided by the invention, classification of microbial population is accurate and sequencing cost is greatly reduced.

The invention discloses an electric power engineering design review and technical economic evaluation information system. The electric power engineering design review and technical economic evaluation information system comprises a project review plan management module, a project review module, a province infrastructure project information database construction module, a design quality management module, an external user interaction management module, a main network engineering cost compilation system module, a cost analysis management module and a message management module. The system integrates demands of actual engineering project design review and technical economic management works, makes engineering project design review and technical economic management works have great improvement in standardization, unification, normalization and refinement, greatly improves an intensive management level, effectively and practically improves efficiency of engineering project design review and technical economic management works and brings about substantial economic and social benefits.

A novel system and method are disclosed for finding and serving consumer product-related information over the Internet to consumers. The system includes Internet information servers which store information pertaining to Universal Product Number (e.g. UPC number) preassigned to each consumer product registered with the system, along with a list of Uniform Resource Locators (URLs) that point to the location of one or more information resources on the Internet, e.g. World Wide Web-sites, which related to such registered consumer products. Upon entering the UPC number into the system using a conventional Internet browser program, the menu of URLs associated with the entered UPC number is automatically displayed for user selection. The displayed menu of URLs are categorically arranged according to specific types of product information such as, for example: product specifications and operation manuals; product wholesalers and retailers; product advertisements and promotions; product endorsements; product updates and reviews; product warranty / servicing; related or complementary products; product incentives including rebates, discounts and / or coupons; manufacturer's annual report and 10K information; electronic stock purchase; etc. As part of the product registration process, manufacturers are provided with turn-key database construction tools that allow them to create, maintain and serve on the WWW, limited versions of the UPC / URL databases which contain information relating only to the manufacturer's products, and no other manufacturers. The master UPC / URL database of the system is updated using the UPC / URL information in these manufacturer maintained UPC / URL databases.

Service points liquidation system is provided, wherein a service point is provided to the customers and the accumulated service points are liquidated so as to stimulate their propensity to further consumption. This liquidation system comprises a conversion means 1 to convert an amount paid or the number of applications made by a customer into a service point and a host computer 2 in which the service points data are stored, which computer is provided with a database construction means 21, a storage means 22, a reference means 23 and a liquidation processing means 24, wherein the accumulated service points data arranged for each customer as individual accumulated service points databases by the database construction means 21 are subjected to the liquidation processing means 24 so as to be stored in the storage means 22.

The invention relates to the technical field of radar electronic countermeasures, and discloses a single-pulse tracking and guiding radar coherent jamming method based on target range profile template matching. The method is characterized in that frequency domain response of an all-attitude angle target is established on an operating frequency of a typical airborne single-pulse tracking and guiding radar, and database construction of an all-attitude angle extended target range profile is completed; parameter measurement, feature extraction and signal reconstruction are carried out on radar signals when a ship-borne electronic support measure (ESM) reconnaissance system reconnoiters transmitting signals of the airborne tracking and guiding radar; a ship-borne jammer carries out matching processing on reconstructed signals and scattering properties of a protected target, additional phase shift and time delay parameters are set, and jamming signals which have a stable phase relation with target echoes are generated. The single-pulse radar coherent jamming method is applicable to jamming devices on various platforms of ships, airplanes and the like, a self-defense electronic jamming ability is provided in allusion to an extended target, and the single-pulse tracking and guiding radar is enabled to create a good angle deception jamming effect.

The present invention discloses an image preprocessing system, which includes a processing unit; an image preprocessing unit coupled to the processing unit to preprocess image slice data, wherein the image preprocessing unit includes an image fusion module to estimate missing values between different image slice data and an image stitching module to stitch different image slice data into stitched image data; and a database coupled to the processing unit to store the preprocessed image slice data.

According to one embodiment, an endmember spectrum extraction unit generates an input endmember spectrum group from a hyperspectral image. A collation unit outputs an endmember spectrum group including endmember spectra that are registered with neither a spectrum library nor an endmember spectrum database as a new endmember spectrum group. An input endmember spectrum distribution image generation unit generates an input endmember distribution image every input endmember spectrum. A new endmember spectrum distribution image selection unit selects an input endmember spectrum distribution image that is included in input endmember spectrum distribution images and that corresponds to new endmember spectrum as a new endmember distribution image. The user recognizes what kind of object corresponds to each new endmember spectrum on the basis of the new endmember spectrum distribution image, the hyperspectral image and a high resolution image, and determines and orders whether to register each new endmember spectrum with the endmember spectrum database.

The invention provides an SEO website construction realizing method capable of optimizing a search engine, which comprises the following: a step of website construction, in which website pages are compiled by a DIV+CSS technique, a server is configured, and an IP address is allocated automatically; a step of SEO website individual construction, in which the SEO website individual construction is realized by programming, and the SEO website individuals are stored in the server by class; and a step of peripheral SEO system database construction, in which a basic database is configured, the SEO website individuals are matched automatically according to key words and a peripheral SEO automatic voting ecological system is generated, wherein the peripheral SEO automatic voting ecological system automatically acquires a website address and generates a website map; and meanwhile, the search engine login is completed at the same time, the interconnection between different webpages and internal voting are realized, and the state is displayed. The invention also provides an SEO website system for implementing the method.

The invention discloses a three-dimensional model retrieval method and apparatus and a three-dimensional model database construction method and device. The three-dimensional model retrieval method includes the steps of dividing a three-dimensional model to be retrieved into a plurality of sub-blocks; classifying the sub-blocks according to shape characteristics of the sub-blocks; separating the plurality of sub-blocks of the three-dimensional model to be retrieved into layers according to the size of every sub-block; extracting structural characteristics of every layer as multilayer structure characteristics of the three-dimensional model according to the connection relationship of every sub-block in every layer in the three-dimensional model; calculating the similarity of the three-dimensional model to be retrieved and every three-dimensional model in a three-dimensional model database according to the multilayer structure characteristics; outputting a retrieval result according to similarity calculation results.

The invention discloses a database construction method used for the fault detection of an unmanned aerial vehicle flight control system, and belongs to the technical field of the fault detection of an unmanned aerial vehicle. Normal unmanned aerial vehicle real-time flight control data screened through a judging rule is blended into historical data; whether unmanned aerial vehicle flight control data of an unknown fault at a future moment fails or not is judged through the judging rule trained according to the historical data; a reference database formed by normal historical data is dynamically updated so as to guarantee the real-time update of the judging rule and guarantee the real-time characteristic performance of the reference database formed by the normal historical data; and the judging rule which is dynamically updated can effectively detect various exceptional forms including isolated point exception, context exception, accumulation exception and the like in the unmanned aerial vehicle flight control data so as to effectively improve the recall ratio and the accuracy of fault detection and simultaneously lower a false alarm rate.

The invention discloses a comprehensive security management system for safeguarding, fire control and elevators. The system comprises system equipment (1), an equipment data conversion device (2), computer communication interfaces (3), a database constructor (4), a management function setter (5), a comprehensive video manager (6), an electronic map comprehensive manager (7), an alarm event coordinated controller (8), a data processor (9) and an Internet of things manager (10), wherein the system equipment (1) communicates with a computer; the equipment data conversion device (2) converts transmission data for communication with the computer; the computer communication interfaces (3) connect the equipment and the computer for communication; the database constructor (4) constructs a sensing and control equipment database; the management function setter (5) sets system management functions; the comprehensive video manager (6) monitors and manages videos; the electronic map comprehensive manager (7) manages each system by utilizing electronic maps; the alarm event coordinated controller (8) processes alarm events; the data processor (9) processes the data of each system; and the Internet of things manager (10) comprehensively manages each system in a networking way. By the system, the comprehensive management and control of safeguarding, fire control and elevator security systems are realized, a plurality of forms of video monitoring, equipment control and equipment state monitoring are coordinated in alarming, and a technical problem about the coordinated control of the system equipment is solved.

The invention relates to an automatic error correction method for a Chinese search term of a search engine and belongs to the technical field of computer applications. According to the automatic error correction method, a data module, an offline database construction end and an online retrieval end are included, wherein the data module is mainly used for providing data for the offline database construction end and the online retrieval end. Abundant offline data are mined by using modules, such as a search log, a crawler system and the like and are used for various error correction strategies. For different fields, a dictionary in an exclusive field is used for system error correction. According to the automatic error correction method for the Chinese search term of the search engine, a manner of combining various independent error correction strategies is adopted, various strategies supplement and compare with each other for a complex query error, and a good result is finally achieved. As the error correction for a second time is employed, an error correction range is wide and the success rate is high. The error correction strategies can be flexibly and independently configured, an error correction occasion is wide, and the automatic error correction method can adapt to various different vertical search fields.

The invention discloses a space information extracting system in urban grid management, consisting of a grid unit, a grid cutting unit, a space information extraction unit, a grid attribute information displaying and statistical unit and a grid attribute information management and outputting unit. The system adopts a secondary development technology of AE plus VB.net, generates an installation program by packing, can run independently in a Windows operation system and is convenient in operation and easy in popularization. The system can extract space data with Arcgis format by diversity space attribute data extracting technology, and provide technical support for the establishment of database in the urban grid management work so as to lead the collecting and inputting of the space data to be more efficient and accurate, thereby saving the cost for establishing the grid space database and shortening the establishing period.

Upon modifying a database system, a modification range is managed on the basis of a pattern name, a variable name associated therewith, an influence range detection start destination based on the variable name, and an influence range detection result as modification pattern information. And a variable value is registered according to a pattern selected based on the modification pattern information, a modification object on a plurality of middleware bases is detected as influence range information on the basis of the variable value entered in association with a modification pattern, and a schema definition of a database and a group of commands for data transformation are modified in accordance with the modification contents using the influence range information.

The invention relates to a database construction method for mass spectrum analysis of a natural product. The method overcomes the problem that in the prior art, compounds are analyzed one by one through manual work, the speed of analysis is slow, the existing established databases have low accuracy, and the data and fragmentation regularities are scattered in a mass of literature reports to be difficultly applied. The method includes: downloading relevant all compounds from a compound database; carrying out a computer simulation fragmentation on the compounds based on the fragmentation regularities in order to obtain pyrolysis fragments of the compounds; recording relevant information of the compounds and fragments; and establishing a database. The method has the advantages of integrating the fragmentation regularities and storing the compounds and fragments of the compounds to one database in a certain structure by the computer simulation cracking, so that the users may quickly and accurately analyze the mass spectrometric data of the natural product, and a feasible path is provided for overcoming a current bottleneck of the flied of mass spectrum analysis of the natural product.

The invention relates to a novel intelligent region mineralizing prediction method, namely a mineralizing case reasoning model and method and belongs to the field of resource information processing. In the invention, multi-source massive geology space data (such as basic geological data, geophysical data, geochemical data, remote sensing data and the like) are fully utilized, and the traditional mineral prediction idea is broken through, so that a rapid, high-efficiency and intelligent mineral prediction method is established so as to rapidly and efficiently predict regional mineral resource potential with high accuracy. The method comprises the following three main steps: mineralizing case expression, mineralizing case database construction and mineralizing case searching. By using the method, the regional mineral resource potential can be subjected to quantitative forecasting and evaluation more efficiently and objectively, thereby reducing the mineral exploration cost and further improving the efficiency and accuracy of mineral prediction.

The embodiment of the application discloses a face recognition database construction method, a face recognition method, a device and equipment. The face recognition database construction method comprises the following steps of dividing an image feature space of a plurality of human face images into a plurality of human face feature subspaces; clustering each facial feature subspace to obtain the clustering center point information and the data category information of each facial feature subspace; constructing the face recognition database according to the clustering center point information and the data category information of each face feature subspace. By utilizing the embodiment of the application, the face recognition process can be realized simply and easily, the face recognition efficiency can be improved, and the resource consumption can be reduced.

The invention discloses an urban land automatic identification system integrating industrial big data and building forms. The system comprises a data acquisition and input module, a database construction module, a machine learning training module, an automatic identification module and a data output module, and the system automatically identifies urban land by extracting data distribution characteristics of urban industrial points and multi-dimensional morphological characteristics of urban space three-dimensional entities. According to the invention, determination of urban land parcel land properties in the field of urban planning and design can be handled; the high-efficiency automatic fine identification of urban land properties of different scales based on an artificial intelligence system is achieved, an efficient and convenient surveying and mapping path and reference are provided for measurement and drawing of urban current situation construction land, and the time cost of manual surveying and mapping is effectively saved.

The invention provides a database construction method of power information operation and maintenance system based on a knowledge map, which forms a graph database through textualization and word segmentation of electric power system work order data, classification through similarity degree, and storage. The invention improves the effective utilization of the electric power data, exerts the value of data hiding, improves the intelligent application level of the electric power network, changes the low-dimensional and mutually isolated information display mode in the past, models the electric power information data, and can more intuitively present the correlation among electric power knowledge. On this basis, The knowledge base of power information operation and maintenance system can be constructed to transform the historical operation and maintenance data into knowledge, to support users to consult and solve problems on line independently, to realize intelligent question answering, toimprove the efficiency of operation and maintenance, and to play an important role in power network operation and maintenance work, on the basis of which the knowledge model optimization storage technology in power information operation and maintenance domain can be completed.

The invention discloses a construction method of a microbial peptide mass fingerprint spectrum database based on a time-of-flight mass spectrometry principle, wherein the method comprises the steps: carrying out pure culture of obtained strains according to physiological habits, and successively obtaining strains at logarithmic phase; identifying the strains through morphology, taxonomy and methodology; then pretreating the confirmed strains, drying, and then extracting peptide fingerprint spectra by an ethanol / formic acid method and an 80% TFA extraction method; collecting and treating the spectra by adopting an MALDI-TOF MS platform, then carrying out parameter determination of the strain spectra, unifying the determined standard spectra and strain names, labeling a database construction method of the strains, and completing the database construction of the strains; and analogizing by the construction methods of the other strains successively, and completing the construction of the microbial peptide mass fingerprint spectrum database. The invention provides a set of complete method from the investigation of the strains to the construction of the database. The database has complete types of microorganisms, and meets identification requirements of microorganism related industries.

The invention discloses a visual semantic database construction and global positioning method and system based on deep learning. The method includes: a visual semantic database construction step, obtaining a key frame of a camera and a corresponding pose, inputting a key frame image, obtaining object semantic information of the key frame, extracting object local features according to the object semantic information, and storing the pose, the object semantic information, and the object local features corresponding to the key frame in a database; and a camera positioning step, screening a candidate image similar to a current image by employing a two-layer candidate frame retrieval mechanism including article category coarse screening and image feature fine screening. According to the methodand system, deep learning and a conventional SLAM algorithm are combined, identification and image segmentation of objects in scenes can be effectively realized, and a corresponding visual semantic database is established; besides, the semantic database performs global positioning by employing the two-layer screening mechanism including the object semantic information and the object local features, the matching efficiency can be improved, mismatching is reduced, and the positioning precision is improved.

The invention belongs to the technical field of information retrieval and a database structure thereof, and discloses a sudden disaster emergency remote sensing control system and method, and an information data processing terminal. A typical geological disaster area is selected in Human to perform demonstration application and model exercise to solve the establishment of geological disaster emergency response mechanisms under different levels, different types and different geographical environments; and a complete and mature geological disaster emergency investigation technical process is formulated by using the disaster emergency remote sensing investigation data acquisition technology, a disaster information extraction method and application capability, and a foundation is laid for thepromotion and application of a sudden disaster emergency remote sensing investigation system to the geological disaster emergency investigation work. Database construction before geological disasters,establishment of the emergency response mechanism, rapid acquisition of geological disaster data, image data processing, interpretation and extraction of geological disaster information and establishment of the sudden disaster remote sensing emergency response system constitute the key technologies of the project.

A system for detecting and diagnosing a faultive state of an airplane engine, including: at least one vibration sensor attached to an airplane; a reference model database construction unit; and a fault detection and diagnosis unit which estimates a parameter of a model, obtains a test variable and a numerator coefficient value difference of a transfer function between the models, and the covariance of parameter estimation error, and diagnoses the faultive state and the faultive cause of the airplane engine. Accordingly, the present invention can determine the faultive state and the detective cause of the airplane engine using the vibration data of the airplane engine.

The invention discloses an interactive online foot measurement system, which mainly promotes business activities between shoe factories, shoe stores and consumers in an interactive manner, and the more specific result is to allow consumers to obtain tailor-made shoes First, the shoe factory builds the last database based on the existing last size, the shoe store builds the shoe shape database and the shoe sample graphic library based on the shoe goods in stock, and the shoe store uses measuring instruments to measure the actual size of the consumer's feet , the measuring instrument transmits the signal to the man-machine interface in a synchronous connection to make personal last data, the measured last data can be converted into shoe size, and compared with the last database for query and comparison, if there is a matching The last can quickly call up the qualified shoe shape information through the shoe shape database, and immediately display the shoe shape graphics through the man-machine interface for consumers to use as a reference for purchase. Last size, the personal last data can be transmitted to the shoe factory, so as to make shoe lasts and shoes that completely fit consumers.