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365 results about "Data products" patented technology

Encryption method for distribution of data

A method and system for securing a data product for mass distribution. An authorization server may encrypt a portion of a data product. Further, the authorization server may assemble an authorization key that includes information indicative of an entity authorized to store the data product, and the authorization server may encrypt the authorization key. To encrypt the authorization key, the authorization server may apply a symmetric encryption algorithm based on a cryptographic key that is derived as a function of an identification code associated with the authorized entity. The encrypted portion of the data product, the encrypted authentication key, and the remainder of the data product may then be stored on the authorized entity, which may be provided to a machine authorized to access the data product. The machine is preferably programmed to derive the second decryption key, use it to decrypt the authentication key, and then use the authentication key to validate use of the data product. Advantageously, if the data product is copied to an unauthorized entity and that entity is then provided to the machine, the machine may be unable to obtain the necessary identification code and may therefore be unable to derive the cryptographic key, to decrypt the authentication key, or to validate access to the data product.
Owner:HERE GLOBAL BV

Earth face evapotranspiration remote sensing inversion method and system based on MODIS data

InactiveCN103810387AAvoid the requirement for accurate atmospheric correctionReduce uncertaintyMaterial analysis by optical meansSpecial data processing applicationsData aidedObservation data
The invention relates to an earth face evapotranspiration remote sensing inversion method and system based on MODIS data. The earth face evapotranspiration remote sensing inversion method comprises the following steps that (1), a research area is confirmed, relative MODIS data porducts in the research area are achieved and pretreated; (2), a scatter diagram of space change information is built by the utilization of the pretreated MODIS data products, a remote sensing inversion of pixel sized surface evaporation ratio EF is conducted; (3), according to the relative MODIS data products, remote sensing inversions of pixel sized surface net radiation Rn and soil heat flux G are conducted; (4), according to the surface evaporation ratio EF, the surface net radiation Rn and the soil heat flux G, a remote sensing inversion of pixel sized earth face evapotranspiration LE is conducted. The earth face evapotranspiration remote sensing inversion method only needs to input the MODIS data, the problem that the current evapotranspiration remote sensing inversion usually needs more ground observation data to assist is solved, and the earth face evapotranspiration remote sensing inversion method can be used for the evapotranspiration remote sensing inversion in the area with no data or with few data.
Owner:INST OF GEOGRAPHICAL SCI & NATURAL RESOURCE RES CAS

Methods and systems for designing machines including biologically-derived parts

A preferred embodiment of the present invention comprises computer-implemented methods for providing user assistance in biomachine design that, first, retrieve one or more digitally-represented candidate design items stored in a bioengineering knowledge base by translating requirements provided for a biomachine according to a bioengineering domain model into queries to the knowledge base for design items capable of implementing the biomachine according to the domain model; then second, construct one or more digitally-represented candidate biomachines from the candidate design items by arranging part information represented in the candidate design items according to a selected structure, and next evaluate the candidate biomachines according to bioengineering operability knowledge associated with the candidate design items, wherein operability knowledge associated with a design item specifies requirements for that item to inter-operate with other design items. The methods may backtrack. If at least one candidate biomachine has not been satisfactorily evaluated, the methods backtracking to one or more of these steps. The invention further encompasses variations of these methods, systems and program products performing these methods, data products including digital representations of design knowledge used by these methods, data products with digital representations of designed biomachines. Also encompassed are further steps of constructing or synthesizing biomachines along with the actual biomachines themselves.
Owner:ENGENEOS

Intelligent collaborative cloud architecture based on data driving in universal network convergence scene

ActiveCN111371830AInsightEfficient data cleaningTransmissionNetwork ConvergenceInformation resource
The invention relates to an intelligent collaborative cloud architecture based on data driving in a universal network convergence scene, and the architecture comprises a data analysis layer which is used for the arrangement and mining of data, and forming a primary data product for the extraction of an artificial intelligence and expert system layer; the artificial intelligence and expert system layer is used for extracting the primary data product provided by the data analysis layer and carrying out deep processing as required; the inter-network platform layer is used for providing standard specifications of data and service intercommunication; the application platform layer is used for extracting general data products from the inter-network platform layer and carrying out architecture and industry generality service support; the APP and terminal application layer is used for sending a data acquisition application to the application platform layer and acquiring a data product requiredby a user from the application platform layer; the invention relates to the field of data acquisition and is used for acquiring multivariate heterogeneous data. The intelligent collaborative cloud architecture based on data driving in the universal network integration scene can effectively solve the practical problems of cross-industry and cross-domain information resource dispersion, low utilization rate, unsmooth communication and the like.
Owner:中国长峰机电技术研究设计院

Method for controlling file access of GIS vector data

The invention discloses a method for controlling the file access of GIS (geographical information system) vector data. The method comprises three technical links: the insertion of the copyright mark m into the GIS vector data file, the extraction of the copyright mark m and the data recovery, and the data application monitoring and the data access control, wherein, the copyright mark m is divided into copyright marks for indication and certification. When the GIS vector data products are published, an excessive amount of copyright marks are inserted into the published products by the reversible watermark algorithm and the data accuracy is intentionally reduced, therefore, on one hand, the application of data-sharing among subscribers for educational and general purposes can be supported by directly downloading the data, and on the other hand, the commercial use of data can be limited by reducing the data accuracy. When the data is applied among high-end subscribers for research and commercial purposes, the extraction of the copyright mark and the data recovery can be realized in a real-time and open manner by installing the monitoring program based on the filter driver technology, thereby not only realizing the copyright certification on a real-time basis and acquiring the original lossless data products, but also limiting the unauthorized operation of validated subscribers.
Owner:NANJING NORMAL UNIVERSITY

Method for estimating temperature of near-surface air from MODIS data

InactiveCN101634711ATo overcome the shortcomings of insufficient information for estimating near-surface air temperatureReduce unknownsElectromagnetic wave reradiationICT adaptationData setDisaster monitoring
The invention relates to a method for estimating the temperature of near-surface air near from MODIS data, which can be used for remote sensing application departments, i.e. weather, environmental monitoring, land management, agricultural monitoring, disaster monitoring, and the like. The method comprises three steps: step1: utilizing the near-surface temperature and the emission rate of each pixel of a MODIS data product and the water vapour content value of atmosphere as priori knowledge and input parameters of atmosphere radiation transmission module simulation software MODTRAN4, carrying out forward direction simulation in different areas and seasons aiming at a 29th thermal infrared band, a 31st thermal infrared band and a 32nd thermal infrared band of each pixel of the obtained remote sensing data MODIS and establishing a training and testing database; step2: utilizing a neural network to repeatedly training and testing a training and testing dataset; step3: carrying out back calculation for practical image data of the MODIS to obtain the temperature distribution condition of the air near the earth's surface of an objective area of the earth's surface. The method can be usedfor weather prognosis, the environmental monitoring, the agricultural monitoring, the disaster monitoring, and the like.
Owner:INST OF AGRI RESOURCES & REGIONAL PLANNING CHINESE ACADEMY OF AGRI SCI +1

Preparation method for ground-based observation air temperature space-time data set

The invention discloses a preparation method of a ground-based observation air temperature space-time data set. The method comprises the following steps: firstly determining space-time resolution ratio and area range of a precast data set; preprocessing air temperature observation data so as to form a normative driving data set; preparing a macro geographic factor and microcosmic geographic factor grid data set of a research area so as to enable the macro geographic factor and microcosmic geographic factor grid data set to correspond to the space-time resolution ratio of the research area; constructing a wavelet neural network dynamic combined prediction model in the time dimension, performing simulation prediction on the change characteristics of air temperature data so as to form a future air temperature change time sequence set; calculating air temperature numerical values of grids in a target area one by one in the space dimension, so as to generate a spatial data set of air temperature spatial change trends; performing simulation calculation on air temperature in the time dimension and the space dimension simultaneously based on key influence factors so as to generate an air temperature future space-time change scene predication data set. The preparation method has favorable expansibility and can be popularized and applied to preparation and production of space-time data products of other observation elements of a geoscience station.
Owner:NORTHWEST INST OF ECO ENVIRONMENT & RESOURCES CAS
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