51 results about "Global change" patented technology

The system for end-to-end content publishing using XML with an object dependency graph is based on the following two design principles: First, separation of content and style: Information stored in the content management system is independent on how it is going to be presented. The presentation style is encapsulated elsewhere and can be used to customize the look and feel based on the end-user preferences as well as the delivery methods and devices. Second, reusability of information content: By encapsulating common information in fragments and subfragments and making these fragments insertable in other fragments, thereby avoid scattering and duplication of information. This enables a user to restrict the edit operations to a limited number of relevant fragments, to affect global changes. In addition, the present invention provides data consistency and data integrity in the content management.

An input signal is converted to a feature-space representation. The feature-space representation is projected onto a discriminant subspace using a linear discriminant analysis transform to enhance the separation of feature clusters. Dynamic programming is used to find global changes to derive optimal cluster boundaries. The cluster boundaries are used to identify the segments of the audio signal.

The invention discloses a voiceprint identification method based on global change space and deep learning hybrid modeling, comprising the steps of: obtaining voice segment training data, employing a global change space modeling method to perform an identity authentication vector to obtain a TVM-IVECTOR; employing a deep neural network method to perform training to obtain an NN-IVECTOR; fusing two vectors of a same audio frequency file to obtain a new I-IVECTOR characteristic extractor; for the audio frequency to be tested, fusing the TVM-IVECTOR and the NN-IVECTOR, and then extracting a final I-IVECTOR; and after channel compensation, performing rating identification on the speaker model in a model base to obtain an identification result. The voiceprint identification method possesses greater robustness to environmental factor interference such as environment mismatching, multiple channel change and noise, and can improve voiceprint identification method performance.

The invention discloses a GNSS ionization layer delay precise modeling method suitable for a Chinese region. The geographical coordinates of the latitude and the longitude of a cross point are converted into coordinates under an established spherical crown coordinate system, so as to acquire the range of the latitude and the longitude of the cross point under the spherical crown coordinate system. The change range of the latitude and the longitude of the cross point is projected and converted into a global coordinate system. A spherical harmonic function is used to establish a regional ionization layer total electron content (TEC) model. The ionization layer delay precise modeling method suitable for the Chinese region is constructed. Compared with the existing method, the method provided by the invention has the advantages that through rotation projection and conversion, the distribution of the ionization layer cross point meets the requirement of the spherical harmonic function on physical quantity distribution in the form; ill-conditioned problems are solved when the spherical harmonic function is applied to regional modeling; the precise describing ability of the spherical harmonic function for global change physical quantity is effectively used; non-integral order in a spherical crown harmonic function is avoided; and the complexity of ionization layer TEC modeling calculation is reduced.

The invention discloses a global scale remote sensing image water body intelligent extraction method based on multiple indexes. The invention belongs to the technical field of remote sensing image information mining, in particular to Landsat remote sensing image water body rapid extraction. A topographic index and normalized indices such as a water body, vegetation and architecture are comprehensively adopted, the problem of confusion between water body and mountain shadow, urban area, cloud shadow, ice and snow in the process of extracting satellite remote sensing images water body information. Moreover, the complexity of calculation is greatly simplified by using the index method, and the calculation speed of the algorithm can be effectively improved. At the same time, prior knowledge and a decision tree method are used to establish a rule model, thresholds are self-adaptively determined, strong universality is achieved, and the method can be well applied to the globally regional water information extraction. The method can rapidly, accurately and intelligently produce global epicontinental water products, and can be used for water resources monitoring, global change research, etc.

The invention belongs to the technical field of digitized fine grass cultivation and forest industry by combining vegetational community coverage calculation method and digital imaging as well as computer technology, which is suitable for the grassland vegetation having the height being less than 1 m and the coverage within the range of 5-99 percent; the height of forest cover is more than 5 m, and the shade density is more than 0.5; by combining the advanced digital imaging and computer image processing technology, a color distinguishing decision tree with three primary colors which are red, green and blue is constructed by utilizing the classification means of the decision tree from top to bottom, and taking digital photo software shot in the field as input item according to the color attribute difference of the grass and forest vegetations, and functional modules of digital photo software leading-in, ground object distinguishing, coverage calculating, divided result displaying and contrasting and the like are integrated on a Matlab7.0 platform to set up a visual interface and visual figures which are user interface friendly as well as convenient and fast in human-computer interaction, then the numerical value is calculated. The method can treat the conventional picture formats such as jpg, tif, tiff and bmp in batch to obtain the coverage data of grass and forest vegetations and has the observation accuracy reaching over 95 percent, and can be applied to the related fields such as vegetation dynamic monitoring, resources surveys, global changing vegetation monitoring, etc.

A system and method for affecting global change to application instance windows or applications at a client side device are disclosed herein. New and/or substitute feature, content, and/or functionality can be provided to application instance windows or applications that use flash player technology. The implementation of the new feature, content, and/or functionality may be toggled on/off by the user or it may be automatically provided to the user. The implementation affects no permanent change to the application instance windows or applications. Rather it drives user customization, improves user experience, and provides a way to potentially generate revenue.

The invention discloses a global change research-oriented automatic space science data gathering method, belonging to the field of information technologies. The method comprises the steps of: (1) periodically accessing data sources and generating downloading tasks by a server; (2) according to current downloading tasks, downloading metadata files and storing in the server and carrying out qualityinspection, metadata item extraction, computation and conversion on the downloaded files; (3) storing metadata file routes and metadata items in a metadata item database and setting up indexes; (4) setting up a mapping relation among the metadata files, metadata item database data and index data and providing a retrieving interface; and (5) querying whether solid data to be queried exists or not according to a querying condition by the server, if not, generating a solid data downloading task to download according to a data reservation application and carrying out the quality inspection and metadata item updating on the downloaded data. The method can be used for querying and acquiring mass global change space science data resources which are distributed at all parts of the world in a single-stop-type manner.

The invention relates to the field of soil ecology, in particular to a method for evaluating influences of global changes on agricultural soil animals on the basis of in-situ earth pillar displacement. The method aims to solve the problems that a sample plot treatment area and the sample plot external environment climate are inconsistent and air in the sample plot treatment area does not circulate in an existing method. The method comprises the first step of in-situ soil preparation, the second step of manufacturing of soil animal PVC isolation boxes, the third step of moving of in-situ earth pillars, the fourth step of plant cultivation or vegetation removal, the fifth step of soil temperature and humidity monitoring and the sixth step of sampling and analyzing. According to the method, in the moving process of the in-situ earth pillars, a plough layer and a plough pan are differentiated, it is guaranteed that the layer where the soil animals are most active is located at the same position all the time, communication of the soil animals is blocked through the soil animal PVC isolation boxes, and meanwhile the bottoms of the soil animal PVC isolation boxes are covered with gauze so that normal water and nutrient circulation of soil can be kept.

The present invention discloses a method for model automatic conversion from OSM data to professional GIS vector data and dynamic integration of OSM incremental data. The method comprises: downloading XML OSM vector data expressed by node, way and relation, and converting the OSM vector data into a user vector data model by using a rule repository to obtain basic state data sometime and somewhere; by using OSM daily global change data, screening incremental data of a research zone by calculating a topological relationship between a change object considering a version evolution process and an object in a Diff file; determining a change type of the object after integration by applying an incremental data integration method which considers an evolution process of a change type between adjacent versions to multi-version incremental data; and finally updating original OSM basic state data by using the obtained incremental data. The method can obtain overseas geospatial vector data of our country efficiently and cost-effectively and maintain the up-to-date state of the data.

The land surface temperature is an important parameter of the physical process of interaction between the earth and the atmosphere and is widely applied to the research of hydrology, meteorology, global carbon balance and global change. The relationship between the radiation brightness of two thermal infrared channels is directly established to replace the simplified Planck function for solving a radiation transmission equation set, an atmospheric parameter (the specific value of atmospheric downward radiation to atmospheric upward radiation) is also introduced to enhance the accuracy of the simplified radiation transmission equation, a split window algorithm based on the radiation brightness (RBSWA) is put forward and the algorithm is applied to MODIS data land surface temperature retrieval. Compared with the conventional split window algorithm based on the brightness temperature, the land surface temperature retrieval accuracy of the RBSWA is enhanced for about 0.5K. The principle of the method is also suitable for other thermal infrared remote sensing data.

The invention discloses a depth decoupling time sequence prediction method, which comprises the following steps of: 1) preprocessing given time sequence data, and constructing a training data set; 2) capturing a global change mode shared by a plurality of time sequences by using a vector quantization global feature encoder; 3) utilizing a local feature encoder to capture a specific local change mode of each of time sequences, wherein each time sequence has a group of specific local feature encoder parameters which are generated by a self-adaptive parameter generation module; and 4) inputting the outputs of the global and local feature encoders into a decoder for prediction. According to the method, the dynamic nature of the time sequences is decoupled into the global change mode and the local change mode, modeling is performed respectively, the problems that an existing model cannot fully utilize shared knowledge in a data set and cannot fully model a specific local change mode of a single time sequence can be solved, the prediction precision is improved, and the method has wide application prospects in the fields of traffic prediction, supply chain management, financial investment and the like.

The invention relates to the technical field of remote sensing, and particularly relates to a thermal infrared fusion reconstruction method based on a hyperspectral image. The method comprises the following steps: A, pure endmembers are selected based on spectral reflectance characteristics and thermal response characteristics of an urban material; B, a multi-endmember spectral mixed analysis method is used to invert accurate terrain spatial abundance information; and C, through the surface temperature of joint representative endmembers and the spatial abundance information of the endmembers,a surface temperature image with a high spatial resolution is acquired. In the technical scheme of the invention, through a data fusion means, based on a hyperspectral remote sensing data reconstruction theory, the urban surface temperature image with a high spatial resolution is obtained, the image can significantly improve the spatial resolution of the urban temperature, and research on a seriesof problems brought about by an urban heat island and global changes can be done conveniently.

The invention relates to the technical field of marine organism qualitative and quantitative stratifying and global change studying argillaceous sampling quantitative stratifying in marine geology, in particular to a pushing-type quantitative stratified sampling apparatus and an application method thereof. The pushing-type quantitative stratified sampling apparatus is composed of a stratified sampling unit and a sampling tube. The stratified sampling unit comprises a handle, a fixing screw knob, a detachable fixing frame, a pulling rod and a piston. The handle is arranged at the top end of the pulling rod, the piston is connected to the bottom end of the pulling rod, and the detachable fixing frame is installed on the pulling rod between the handle and the piston in a relative moving mode; and the sampling tube for performing sampling is sleeved outside the pulling rod and connected with the detachable fixing frame, and the fixing screw knob is arranged on the pulling rod between the handle and the detachable fixing frame and detachable in position. The pushing-type quantitative stratified sampling apparatus has the advantages that the structure is simple, the manufacture cost is low, materials are saved, energy is not used, the sampling apparatus is not limited by environments, and samples can be stratified accurately.

Change points of a system represented by a plurality of time series are detected more appropriately. An information processing system includes means for learning, with respect to each of a plurality of time series, models that approximate partial time series respectively and are defined by parameters of the partial time series respectively, the partial time series being obtained by dividing a corresponding time series into a plurality of segments at change point candidates; and means for detecting, with respect to each of the change point candidates for the plurality of time series, a global change point that is a change point for the plurality of time series based on a difference between a parameter of a first partial time series starting from a time point of a corresponding change point candidate and a parameter of a second partial time series before the corresponding change point candidate, and outputting the global change point.

The invention discloses a method and encoder system for encoding video. The method comprises the steps of receiving (S02) information representative of pixels in a current digital image frame of a video to be encoded, calculating (S03) a group value for each group of neighboring pixels based on the received information, accumulating (S04) group values of corresponding groups of pixels in a first sequence of frames to form a first accumulation of accumulated group values, accumulating (S05) group values of corresponding groups of pixels in a second sequence of frames to form a second accumulation of accumulated group values, wherein the second sequence includes frames captured over a longer period of time than the first sequence, comparing (S06) accumulated group values of the first accumulation with accumulated group values of the second accumulation, calculating (S07) a global change value based on the comparison, setting (S08) a GOP length based on the global change value; and encoding (S09) the current image frame as an intra-frame or inter-frame based on the GOP length. An encoder system for encoding video is also disclosed.

The invention discloses a weather-land surface-hydrological process full-coupling simulation method, which relates to the field of global changes and hydrological water resources; the method comprises the following steps: determining key interaction variables, and formulating a climatic-land surface- hydrological process full-coupling mechanism, including a climatic process, a land surface process and a hydrological process; determining a runoff production method based on a nonlinear mechanism and a nonlinear system theory of a water circulation process; determining a climate-land surface- hydrological process calculation scale and a conversion method; determining a confluence method, and respectively matching different confluence modes to perform confluence calculation; carrying out convergence calculation on the hydrological process scale, feeding back soil humidity results to the land surface process and the climate process, and realizing climate-land surface-hydrological process full-coupling simulation. According to the method, the influence of the hydrological process change on the climate process and the land surface process can be achieved while the influence of the climate change on the land surface process and the hydrological process is achieved, and particularly climate and land surface hydrological process simulation under complex terrain conditions can be improved.

The invention discloses a method for determining carbon sinking capacity of a mangrove forest. The method comprises the following steps: collecting surface soil of the lower covert of the mangrove forest and bare land nearest to the mangrove forest in an area to be measured and mangrove plant leaves; determining a ratio of organic carbon in the soil and stable carbon isotopes (delta <13>C) of the plant leaves; taking the bare land as the background value, and calculating a ratio of mangrove-sourced carbon in the soil organic carbon in the area to be detected and in the artificial mangrove area with known ages of the mangrove according to a relevant formula; obtaining a multiplier index of the organic carbon of the mangrove plants according to the age of mangrove forest, establishing an index multiplier equation, obtaining a mangrove forest organic carbon multiplier rate model by virtue of derivation, and calculating the carbon sinking capacity of the target mangrove forest at a specific age of the forest according to the content of the organic carbon in the surface soil under the lower convert of the target mangrove species. The method is simple, easy and free from damaging the forest; and the obtained result has a prediction function, and the carbon sinking capacity of different species with different ages in different environments can be accurately determined, so that comparative data can be provided to the research of the global variation.

The invention discloses a method for automatically gathering metadata of space science data facing a global change research and belongs to the technical field of information. The method comprises the following steps of: 1) selecting a data source, and regularly accessing the data source by a server to generate a download list and a download task; 2) accessing a data source server according to thecurrent download list and the download task to download a metadata file, and storing the metadata file to the server; 3) checking the quality of the downloaded metadata file, extracting a metadata item from the qualified metadata file, and calculating and converting; 4) storing a metadata file route and the metadata item into a metadata item database, and establishing an index; and 5) establishing a one-to-one corresponding mapping relation among the metadata file, the data of the metadata item database and the index data according to the file route, an id value of the metadata item database and an id value of an index item. By the method, massive global change space science data metadata resources which are distributed around the world can be queried in a one-stop manner.

The invention discloses a method of improving Guangdong planted forest carbon sink potential under global change background; the method is to plant schima superb and/or Ormosiapinnata(Lour.)Merr in afforestation; under a simulation acid rain treatment, the schima superb can still grow fast; when CO2 concentration is multiplied and under high N settlement, the schima superb and Ormosiapinnata(Lour.)Merr can still grow fast; when the temperature rises 1-2 DEG C, the schima superb and Ormosiapinnata(Lour.)Merr can grow fast. The method of improving Guangdong planted forest carbon sink potential under global change background is to plant the schima superb and/or Ormosiapinnata(Lour.)Merr in afforestation in single plantation or interplant, thus adjusting species composition and age group composition of the planted forest on purpose; the method uses scientific tending mode to gradually improve forest quality, thus greatly improving carbon sink potential of the forest ecology system in our country, and strongly supporting our country environment diplomatic negotiations.

The invention discloses a method for analyzing the taenious cycle change of a paleoclimate substitution index of continuous sediment. According to the method, the characteristics of the other-generation cycle information are effectively described, then the paleoclimate background experienced in the sedimentary profile forming process is analyzed, and a basic technical support is provided for deeply analyzing differences existing in paleoclimate region comparison and promoting global change research. According to the method, the amplitude and degree of the paleoclimate relative change process on the section are clearly analyzed; a plurality of other cycles are relatively simply and clearly separated, and the method plays an important role in analyzing the influence of external factors such as paleoclimate and a control mechanism. According to the method, the problems that in the prior art, due to superposition of other cycles and authigenic cycles in comprehensive information of paleoclimate substitution indexes, effectiveness of paleoclimate information is strongly interfered, and accuracy of paleoclimate reconstruction result analysis and global comparative research are affected are solved.

The present invention is based on the determination of the global changes in gene expression in tissues or cells exposed to known toxins, in particular hepatotoxins, as compared to unexposed tissues or cells as well as the identification of individual genes that are differentially expressed upon toxin exposure. The invention includes methods of predicting at least one toxic effect of a compound, predicting the progression of a toxic effect of a compound, and predicting the hepatoxicity of a compound. Also provided are methods of predicting the mechanism of toxicity of a compound. In a further aspect, the invention provides probes comprising sequences that specifically hybridize to genes in Table 3 as well as solid supports comprising at least two of the said probes.

The invention relates to an atomic node business set-based time-varying path QoS guarantee dispatching method. The method comprises the steps of decomposing complete complex business processing into atomic node businesses; constructing a running logic tree; traversing the running logic tree, and calculating a path length from each atomic node business to the complete business; and performing dispatching according to dynamic timeliness of global change in an execution process of a processing service. The invention furthermore provides an atomic node business set-based time-varying path QoS guarantee dispatching apparatus. The method and the apparatus provided by the invention are convenient and quick, and can effectively shorten the overall processing time and guarantee the QoS time demands. The complex business processing is converted into the running logic tree; the QoS time demand guarantee is converted into a dispatching problem; a new problem-solving perspective and idea is provided for the field; and, the method considers the dynamic timeliness of the global change in the execution process of the processing service, so that the time for finishing the complex business processing is effectively shortened.