50 results about "Data independence" patented technology

The invention discloses an ultrahigh performance liquid chromatography-quadrupole electrostatic field orbit ion trap mass spectrometry screening method of pigment in wine and belongs to the technical field of food safety detection. The method includes: applying ultrahigh performance liquid chromatography-quadrupole electrostatic field orbit ion trap mass spectrometry (Q-Orbitrap) for screening, and adopting electric spraying ion source and full-scanning/data dependence collection, full-scanning/variable data independence collection and full-scanning/full ion breaking collection scanning modes to acquire complete primary and secondary spectra; applying Exact Finder 2.5 software to process the acquired primary and secondary spectra, and extracting chemical information; comparing information in a built spectrum bank with information of a detected object screening result to confirm composition of the pigment in the wine. A mass spectrometer used in the method mainly has the advantages of high resolution, accurate qualitative and quantitative results, high sensitivityy and high mass accuracy and can be applied to analysis of complex matrixes. The method can also be applied in screening pigment in other food and has good application prospect in the field of food.

The invention discloses a batched linear inquiry method based on difference privacy. The method includes the following steps that 1, an original data set R is inquired, so that a data inquiry result set M is obtained; 2, attribute frequentness of the R is arrayed according to a descending order, attributes with the frequentness smaller than or equal to the minimum support are sieved, the attributes and data corresponding to the attributes are abandoned, data independence processing is performed on attributes larger than the minimum support, and an independent data set D larger than the minimumsupport in attribute frequentness is obtained; 3, the M is utilized for establishing a data independent load matrix W on the basis that an initial load matrix is established, and decomposed in parallel by the adoption of a parallel gradient descent matrix decomposition technique, and therefore a complete first matrix B of the decomposing result and a second matrix L of the decomposing result areobtained; 4, based on difference privacy, self-adaptation noise adding is performed, Lapras noise is added to the L and D, the abandoned attributes and data are restored, and a noise adding inquiry result data set S is obtained; 5, the S is returned to a user.

The invention applies to the technical field of storage, and provides a storage method of a file index, and a file system. The method comprises the following steps of: pairing a key word with an associated object, wherein the associated object is a group of index storage spaces corresponding to the key word; according to the data type of the stored data, dividing NAND FLASH into three sections, namely a key word area, an index storage space area and a file data area; and when storing file index head data, the file system finding the current idle index storage space for storage by the key word in the key word area. According to the storage method and the file system, the key word is associated with the index storage space, the file index data is stored in the index storage space associated with the key word, so that the storage of the file index data has data independence of random scattered storage, and simultaneously has the indexibility of chain storage, and the storage efficiency of an NAND FLASH storage body is better optimized and improved.

The invention provides a relevant database for managing heterogeneous unstructured data; and the database comprises formatted text which is used for describing the unstructured data which is stored outside the database. The formatted text comprises a uniform resources identifier (URI) character string which provides the access protocol and storage position of the data, a data validation attribute field and a data format field. Meanwhile, the invention also provides a creation method and an inquiry method for managing the relevant database for managing the external heterogeneous data. The relevant database for managing heterogeneous unstructured data and the method for creating and inquiring the description information of the unstructured data thereof have the beneficial effects that the external data management mechanism of the database has high extendability and can adapt to various access protocols of the external data, and meanwhile the completeness of the external data management of the database and the data independency of external data orientation are improved.

An instruction folding mechanism, a method for performing the instruction folding mechanism and a pixel processing system employing the instruction folding mechanism are described. The pixel processing system comprises an instruction folding mechanism and a pixel shader. The instruction folding mechanism folds a plurality of first instructions in a first program to generate a second program having at least one second instruction which is a combination of the first instructions. The pixel shader connected to the instruction folding mechanism fetches the second program to decode at least the second instruction having the combination of the first instructions to execute the second program. The instruction folding mechanism comprises an instruction scheduler, a folding rule checker, and an instruction combiner. The instruction scheduler connected to the folding rule checker is used to scan the first instructions according to static positions in order to schedule the first instrictions in the first program. The folding rule checker checks the first instructions according to a folding rule whether the first instructions has data independency. The instruction combiner connected to the folding rule checker can combine the first instructions having the data independency to generate at least the second instruction.

The invention discloses a large-screen interaction system based on laser radar positioning, and belongs to the field of human-computer interaction. The system comprises the following modules: a data acquisition and processing module, which is used for acquiring and processing laser radar serial port data, and obtaining effective coordinates through a method of clustering calculation after classifying the radar serial port data; a coordinate conversion module which is used for converting the effective coordinates into screen coordinates; a touch module which is used for outputting and identifying screen coordinates; a positioning module which is used for outputting screen coordinates and realizing interaction; And a local area network control module which is used for data transmission and broadcasting. According to the invention, the laser radar touch technology is applied to large-screen interaction; The technical problem that radar data cannot be directly applied is solved, accurate effective data are obtained through the method that classification is conducted firstly and then clustering is conducted, the software development efficiency and stability are improved, reusability ishigh, software data independence is very high, multi-radar superposition use can be achieved, and expansion is convenient.

The invention discloses a DTW seismic body attribute analysis method for automatically and rapidly identifying geological structures. A distributed parallel algorithm is adopted for dividing a workingcell; under the coarse mesh density, DTW time offsets of feature point sequences of seismic channels and model reference channels are calculated, so that horizons and seismic isochronal stratigraphicframeworks can be quickly interpreted and constructed; on the basis of well layering, interlayer equal-proportion method based subdivision is performed to form a seismic layered data body, so that the number of sample points for DTW calculation is reduced, the data independence is guaranteed, the advantages of distributed operation can be effectively brought into play, and the calculation time ofDTW attributes is greatly shortened. The DTW calculation of the adjacent channels is performed in two directions of Inline and Xline; and abnormal characteristics of weak continuity and low similarity between seismic data of a target layer section are highlighted, so that fine identification of the structures with different scales is realized.

The invention discloses a method for storing mass data. The method includes the following steps that 1) a mobile terminal transmits data to the server end, and the data comprise device number of a corresponding mobile terminal; 2) the server end receives the data transmitted by the mobile terminal, conducts code conversion on the received device number and builds a first-level catalogue and a second-level catalogue according to obtained codes; 3) the server end builds a third-level catalogue according to the received device number; and 4) the server end utilizes the year when the data are received as a four-level catalogue, utilizes the data format when the data are received as a file name to store the received data into a corresponding small database. The method increases data reading speed, and a system can quickly find the small database that each device corresponds to according to configuration rules to conduct data storage operation. The method has the advantages of being easy to expand and compile of a file database and also has the advantages of structuralization, lowest redundancy, higher form, data independence of a relational database and the like.

The invention discloses a scattering energy and stack self-code-based polarimetric SAR image classification method, and mainly aims at solving the problems that classification process is complicated,polarimetric SAR image spatial features cannot be extracted and classification precision is not high due to the influences of extraction data independence and redundancy of polarimetric synthetic aperture radar SAR image features in the prior art. The method comprises the following specific realization steps of: (1) inputting a coherence matrix of a to-be-classified polarimetric synthetic apertureradar SAR image; (2) compensating the polarimetric SAR coherence matrix; (3) obtaining scattering energy of a scanning model; (4) obtaining a sample; (5) training stack self-codes; (6) classifying the stack self-codes; and (7) outputting a classification result. The method has the advantage of being remarkable in polarimetric synthetic aperture radar SAR image classification effect.

The invention relates to an ecological environment parameter ground sampling method suitable for wide-range multi-scale satellite remote sensing data inversion. The method is not limited by sample statistics distribution, and sample distribution characteristics approaching to real can be obtained through repeated sampling simulation of n observed values. The sampling efficiency of the method will be far more larger than the traditional statistics and self-help sampling efficiency; in addition, the practical application scope will be wider, the premise requirements for data independence and normal distribution in traditional statistics and layered sampling are not needed, layering on part of prior data and information of a testing area is not needed, semivariance information of ground statistical sampling is not needed, the method can be suitable for ground sampling of wide-range multi-scale satellite remote sensing data inversion ecological environment parameters, and the rapid and high-accuracy ground sampling is achieved.

The invention provides a source data labeling extension method for technical publications of a civil aircraft; additional or detailed labeling information can be added for source data, so that the technical publications can be effectively tracked in maintenance activities. According to the method, source data system classification based on labeling demands and data types is proposed; on the basis of effective classification, whether the to-be-labeled source data of the type has subunits with data independence in data composition and structure is analyzed, and the data decomposability is evaluated; and for the source data with decomposability, information of the subunits formed by decomposition is converted into labeling information corresponding to the source data. The method improves the change tracking precision of the source data during technical publication maintenance, so that the positioning precision of the source data of the type can reach below the document level, partial data modules are prevented from being incorrectly judged that the partial data modules are to be maintained, business errors are reduced to a certain extent, and the manpower and resource costs are reduced for technical publication maintenance.

The invention relates to an intelligent vegetable selling method. whole-course tracking and information recording are carried out through the ID of a diner; after the working personnel are in place, the dining personnel select dishes; a worker extracts dishes, carries out accurate processing of weight and verifies dishes, so inaccurate weight or dish errors are avoided and the settlement result isensured; the control center is used for outputting the dish ordering data to the settlement screen according to the ID of a diner or the corresponding number of a worker, so that settlement details or settlement amount errors caused by interference or interference are avoided, the diner can make a doubt or directly pay for the dish serving result, and the feasibility of tracing after reporting errors is ensured. In the dish selecting process, the selected dishes accurately correspond to prices, weighing is accurate, benefits of dining parties are guaranteed, data independence and uniqueness are guaranteed through corresponding encryption or storage area distribution, settlement is accurate, and accounting is convenient; the settlement accuracy of the intelligent canteen is improved, and the working efficiency is integrally improved.

An embodiment of the invention provides a detector, a detecting system and a detecting method. The method includes a synchronous signal transmitting step, namely generating and emitting frame synchronization signals through GPIO; an acquisition and package step; an initialization step, namely generating GPIO interception according to the received frame synchronization signals, performing the initialization and operating a timer to receive data; a data receiving step; a frame interception determination step; a frame interception processing step; an abnormality processing step, namely triggering timer interception, adding one to the value of an abnormality counter and switching off the timer; a detection determination step. According to the embodiment, the manner of matching the frame synchronization signals and the timer interception is adopted, the bank note data abnormalities can be found and counted timely, the data independence of bank notes is high, the data of the next bank note is free of the influence of the abnormality of one bank note, the rate of undetermined bank notes in batches is reduced, and the detecting efficiency is improved.

This is a computer-implemented method for managing translating among, and understanding multiple representations and storage structures of data by accessing and updating physical storage through a relational representation. The present invention supports both data independence and automatic derivation of descriptions of data representations by manipulating membership abstractions in the logical representation, while the prior art is restricted to user-supplied denotations and catalog entries.

The invention discloses a method for improving data processing speed of a simple network management protocol (SNMP) device which comprises the following steps: enabling each thread program to interlink each corresponding NET-SNMP bank and further interlink other banks to generate initializing application programs, and initializing the SNMP device according to the generated initializing application programs; enabling each thread program to interlink each corresponding NET-SNMP bank and further interlink other banks to generate a data processing application program, and conducting data processing of the SNMP device according to the data processing application program. The invention further discloses a system for improving the processing speed of the SNMP device. The system for improving the processing speed of the SNMP device comprises a plurality of thread programs and NET-SNMP banks, and other banks, wherein the plurality of thread programs are interlinked with the plurality of NET-SNMP banks in one-to-one correspondence. The system for improving the processing speed of the SNMP device is capable of ensuring data independence of each thread program, improving data processing speed of a data collector, being used on most of SNMP devices, and good in extendibility and compatibility. The method for improving the data processing speed of the SNMP device and the system for improving the data processing speed of the SNMP device are widely used in the field of data collection of a device.

The invention provides a full-automatic panel planeness detection device which comprises a measurement component and a driving component. The measurement component comprises polished shafts and a reflector installation base. The driving component comprises a stepping motor, a stepping motor controller, a bearing pedestal, a bearing shaft, a synchronous pulley and the like. The measurement polished shafts are attached to the measured face all the time by separating the measurement component from the driving component, and therefore measurement reliability and data independence are greatly improved. The full-automatic panel planeness detection device is used in cooperation with a photoelectric auto-collimator for detection to read measured data, and has the advantages of facilitating detection, being rapid in detection, high in accuracy and high in universality and the like.

The invention discloses a method for excavating testicular differential proteins of Tibetan sheep before and after the sexual maturity based on a DIA (Data Independence Acquisition) technology. The method comprises the following steps: tissue collection, preparation of a protein sample, creation of a spectral database, qualitative and quantitative analysis of proteins and screening of differentialexpressed proteins. According to the method disclosed by the invention, testicular tissues of 3-month-old and 1-year-old Tibetan sheep are selected; the spectral database is analyzed and created by using a conventional DDA mass-spectrometric detection technology; and then, spectral data acquisition is performed by the DIA method, and the proteins in the sample are qualitatively and quantitativelyanalyzed, thus obtaining the differential expressed proteins in the testicles of the Tibetan sheep. The method can be used to realize quantitative screening of the differential expressed proteins inthe testicles of the Tibetan sheep, which provides a very important theoretical basis to subsequent researches on a molecular mechanism of testicular development or spermatogenesis of the Tibetan sheep under a high-altitude condition from proteomics.