100 results about "Forest structure" patented technology

The invention discloses a forest rendering method based on hierarchical level depth gridding. The invention comprises five following steps of: establishing the level depth gridding of a single-tree model, establishing a KD-Tree of the forest, establishing the level depth gridding of a non-leaf node in the forest structure, establishing a rendering alignment of the forest nodes and rendering the forest. The invention uses the following methods for reference: the LOD, the Billboard, the volume rendering, the rendering based on images, etc, updates the original depth collective rending to the level depth gridding based on the forest rendering method of the hierarchical level assembled depth collective rending, and re-establishes the level depth gridding to the middle nodes of the forest with the sampling method, at the same time, effectively compresses the texture data of the forest to greatly improve the rendering speed and effect. The invention has a wide practical prospect in the fields of the geographical information simulation, the virtual reality and the game engine, etc.

The invention discloses an octree forest compression based three-dimensional voxel access method. The method comprises the steps of (1) uniformly dividing a voxel space according to the thickness, and creating an octree in each area; (2) performing dynamic construction and growth update for an octree forest according to each frame depth map and camera parameters; (3) quickly searching leaf data by the layered search method according to the constructed forest structure. According to the method, the octree forest sturctuer is utilized to effectively compress the consumption of a storage resource of space voxel data, and meanwhile, the data searching speed and the surface reconstruction precision can be ensured.

The invention provides an MEMS optical device, a light absorption nano structure and a preparation method thereof. The preparation method of the light absorption nano structure comprises the followingsteps of providing a substrate; forming a polymer layer on the substrate; forming a nano forest structure by utilizing the polymer layer; and covering metal nano-particles or a metal nano-film on thenano forest structure. The method disclosed by the invention combines the light trapping effect of the nano forest structure and the surface plasmon effect of the metal nano structure, so that the wide-spectrum high-absorption function is achieved.

The invention relates to a method for processing a nano column forest, which comprises the following steps: 1) preparing and cleaning a selected substrate; 2) spirally coating photoresist on the surface of the substrate, performing pre-baking, exposure and development on the photoresist in turn, and finally forming a photoresist graph; 3) performing oxygen plasma dry etching on the photoresist graph, and forming a layer of graphic nano punctiform structure on the substrate; 4) using the nano punctiform structure as a mask to perform anisotropic etching on the substrate, and forming an initial nano column; 5) forming a deposit film on the surface of the initial nano column; 6) forming a side wall on the circumference of the initial nano column through an anisotropic etching film; 7) taking the initial nano column which coats the side wall as the mask to perform the anisotropic etching on the substrate, and forming a nano column; and 8) removing side wall residue on the surface of the nano column, and obtaining a graphic nano column forest structure. The graphic nano column forest manufactured by the method can be widely applied to novel energy resource devices, biomedicine detectors, micro-fluidic devices, electronic devices and nano stamping.

The invention is a family tree digitalizing method, characterized in that: taking 'persons' in the family tree as data nodes in a tree or forest structure, and using Unicode-supporting four-byte coded Chinese character super character set and the input method to make data processing. And the method can process most rarely-used words occurring in the family tree books and besides, according to the tree or forest logic structure of the family tree, storing large numbers of node data in the family tree into XML format file of this logic structure, and then establishing index of these nodes data by inverted indexing and providing searches, and showing lineage relation of each person in the family tree in a visual and friendly 'directory tree structure' mode on webpage or interface of desktop application program. And the method can make it possible to digitalize and search and manage large numbers of family trees, beneficial to protection, development and utilization of family trees.

The invention includes following six steps: hierarchical structure of forest, LDI-Pack structure for tree model, LDM-Pack structure, each node LADM-Pack in structure of forest, plotting queue, and node in plotting queue. Advantages of the method are: referencing LOD, IBR, PBR, and Billboard provides good balance among quality of drawing, plotting performance and storage expense; self-adapting texture compression method reduces expenses for texture memory; confluent method realizes graduating transition. The method is applicable to geo information emulation, virtual scene roam and game engine etc. areas.

The invention discloses a technique for renewing and transforming low-function water conservation forest. The technique establishes a hierarchical structure model comprising a target layer, a strategy layer, a measure layer and a sub-measure layer by applying a analytic hierarchy process, structures judgment matrixes, and finally transforms the low-function water conservation forest into mixed forest which is clear in the levels of trees, shrubs and grass, various in species and thick in ground cover through calculation and adjustment. The technique can give full play to three main benefits of the forest, allows the forest to tend to have a stable healthy stand structure, can fully utilize natural laws and natural force to reduce blindness and meaningless funds consumption in forest management, guarantees the area constancy of the forest and continuous utilization principle, realizes biological diversity and ecological stability, and obtains high economic benefit and obvious ecological benefit.

The invention discloses a method for jointly inverting forest structure parameters by using a full-waveform lidar and hyperspectral data. Firstly, performing de-noising, smoothing, intensity correction and filtering on airborne full-waveform lidar data, performing interpolation to generate a digital terrain model, and performing high normalization processing on point cloud and waveform data; performing radiation calibration, atmospheric correction and geometric correction preprocessing on a hyperspectral image; then extracting characteristic variables based on normalized point cloud and waveform data and preprocessed hyperspectral data separately; and finally, constructing multivariate regression models combined with ground measured data and the extracted characteristic variables to predict each forest structure parameter. The invention contributes to improving the inversion precision of the forest structure parameters, and effectively suppresses the "saturation" problem of parameter inversion of a stand structure with high forest coverage and high biomass; therefore, the ability and accuracy of forest structure parameter inversion is effectively enhanced; and compared with the stand structure parameter inversion with other similar remote sensing methods, the relative root mean square error is increased by more than 5%.

The invention concerns a method of configuring the topology of a communication network comprising a plurality of nodes (i, j, . . . , N), said communication network being organized as a forest structure comprising trees and subtrees, wherein at least one node i maintains a periodic timer and an expiration of said timer of said node i triggers the steps of:searching, by said node i, a parent node;selecting, by said node i, a parent node using at least throughput and subtree size as selection criteria ; andmigrating said node i to the selected parent node along with its subtree size.Preferably, said step of selecting a parent node by said node i comprises a sub-step of executing a function having as parameters respective subtree sizes of a node j before and after the migration of said node i to another node k.

The invention relates to a plateau area cloud snow classification method based on a multidimensional multi-granularity cascading forest. According to the method, a multidimensional multi-granularity scanning structure of the multidimensional multi-granularity cascading forest is utilized to perform spatial feature extraction on cloud snow image samples of a plateau area, spectral information of amultispectral image is extracted through a multidimensional scanning mode, and then the extracted spatial features and spectral information are used for training the cascading forest structure of themultidimensional multi-granularity cascading forest. Through the method, on the premise of improving accuracy, sample training speed and sample classification speed are higher than those in traditional convolution deep learning under the same hardware condition, and experiment results indicate that the result obtained through the method is good and is more suitable for cloud snow classification research on a satellite image.

The invention discloses a complex heterogeneity forest stand mean height estimating method based on multisource remote sensing data. The complex heterogeneity forest stand mean height estimating method is a multi-data source multi-kind information forest stand mean height estimating technology which integrates the phase and amplitude information of a polarization interference radar, vegetation index information, entropy information reflecting a forest structure, second class investigation information and sample-plot survey information. The spectral information and the structure complexity of a forest are reflected by introducing the vegetation index (NDVI) and the entropy in the information theory in the technology. According to specific forest conditions, different compensation factors are given to different forest stands, and a compensation factor function is established. A coherent phase-amplitude algorithm is improved by using the changed compensation factor after correction to replace a constant compensation factor. Large area, high precision and fast extraction and charting of the forest stand mean height of a complex forest structure in a cloud and rain area are achieved.

The invention relates to a microfluidic surface-enhanced Raman scattering transparent device structure and a preparation method thereof. According to the technical scheme provided by the invention, the microfluidic surface-enhanced Raman scattering transparent device structure comprises a transparent active substrate and a microfluidic channel structure layer supported on the transparent active substrate, wherein a plurality of detection microfluidic channels are arranged inside the microfluidic channel structure layer; the detection microfluidic channels are communicated with a liquid inlet and a liquid outlet in the microfluidic channel structure layer; metal nano forest structures are arranged on the surfaces of areas of the transparent active substrate corresponding to the detection microfluidic channels; the metal nano forest structures are positioned between the liquid inlet and the liquid outlet. The microfluidic surface-enhanced Raman scattering transparent device structure is compact in structure and can improve the consistency of a surface-enhanced Raman scattering detection signal to shorten the detection time, can improve the signal-to-noise ratio of the surface-enhanced Raman scattering detection signal, can realize real-time detection of a variety of substances at the same time, and is wide in application range, safe and reliable.

The invention discloses a method for inverting forest structure parameters of an artificial forest based on an unmanned aerial vehicle laser radar, and belongs to the fields of forest resource investigation, forest productivity estimation and biological diversity research. According to the method, discrete point cloud data of the unmanned aerial vehicle laser radar is subjected to normalization processing; canopy layer characteristic variables of the artificial forest are extracted from the normalized point cloud data; a non-parameter k-NN model is built on the basis of the extracted canopy layer characteristic variables of the artificial forest and actual measurement data of the ground; and model parameters are debugged so as to invert the forest structure parameters of forest stands. A high-density LiDAR point cloud is obtained on the basis of an unmanned aerial vehicle platform; unmanned aerial vehicle laser radar point cloud characteristics of multiple groups of artificial forest canopy layers are comprehensively and deeply extracted; and a k-NN algorithm in a non-parametric method is adopted to invert the forest structure parameters of the forest stands, so that the estimationcapability and precision are improved.

The invention relates to a forest calculating and measuring method for observing a sample plot composed of fiver trees. A compass and a tape serve as tools, a polygonal sample plot composed of the five trees, including one tree in the center and four trees, in the surrounding is selected, the magnetic azimuth of each tree is measured, the uniform angle index, the mingling degree, the size ratio, the uniformity, the layered ratio, the volume of wood and the average height of the sample plot are calculated via mathematical models, and the characteristic parameters of the forest are rapidly estimated. The used tools are simple, and the efficiency and precision in calculating and measuring the structural parameters and the sample plot of the forest are improved.

The invention relates to a machining method of a nano column / needle forest structure and belongs to the technical field of a semiconductor. According to the technical scheme provided by the invention, the machining method of the nano column / needle forest structure comprises the following steps of a, preparing and cleaning a selected substrate; b, growing a layer of polysilicon on the substrate; c, growing a spacer material layer on the substrate on which the polysilicon is grown, wherein the spacer material layer is coated on the polysilicon layer; d, performing anisotropic etching of the polysilicon on the substrate on which the spacer material layer and the polysilicon layer are coated; and e, adjusting the time of anisotropic etching until the required nano column / needle forest structure is formed. The limit of electronic beam photoetching and focused ion beam etching technology in the aspect of batch machining can be effectively overcome, the process complexity degree can be effectively reduced, and a large-area or patterned nano structure with high adjustability and uniformity is realized.

The present invention is to provide a marine forest structure by which many kinds of fishes and shellfishes can gather and inhabit and to which useful seaweeds such as of Laminariaceae and the like can adhere to propagate when the structure is submerged and disposed on the bottom of the sea. Provided is a marine forest structure 1 which is composed of a base 2 in which legs 5 are protruded from a peripheral edge of a flat plate 4 in which plural holes 6 are provided in a central part and a peripheral part thereof and two kinds of pillar bodies 3a, 3b whose lengths are different. The marine forest structure is constructed such that a plurality of pillar bodies 3a which has a predetermined height are raised from and fixed to the holes 6 of the flat plate 4 and that pillar bodies 3b which has a height lower than that of the pillar bodies 3a with the predetermined height are raised from and fixed to the plural holes 6 of the periphery of the flat plate 4.

The invention discloses an establishment method used for a forest stand space structure optimization model and based on a particle swarm algorithm. The establishment method comprises the steps as following: a forest stand area is measured, forest trees which belong to climax group composition tree species and transitional community tree species in the forest stand are measured, the diameter at breast height of each forest tree is larger than 5 cm, and space coordinates, tree species, a mixed degree, a competition index, a uniform angle index, a stand layer index, a space density index and an open comparison index of each forest tree are obtained; and the particle swarm algorithm is adopted, the mixed degree, the competition index, the uniform angle index, the stand layer index, the space density index and the open comparison index which are included in a forest stand space structure are taken as optimization objectives, a multi-objective optimization model of forest space structures in forest stand level is established, forest trees and space structure units which are required to be regulated are confirmed according to objective trees output by the model and space structure units formed by peripheral adjacent trees, the forest stand space structures are regulated, so that the forest structures tend to a reasonable state, and an ecosystem function is recovered.

The invention discloses an urban air quality refined estimation method and an urban air quality refined estimation device based on the fusion of multi-source spatio-temporal data. The method achievesthe feature extraction through the fusion of multi-source spatio-temporal big data and the design of a spatio-temporal integrated feature scanning model, and avoids the separation and segmentation ofspatio-temporal attribute information. Meanwhile, by improving a deep forest algorithm, a fine-grained urban air quality real-time estimation method based on a cascade forest structure is provided, and the performance of the model is verified through specific example application. On the basis of well considering the space-time relevance of the data and not splitting the space-time attribute information, the space-time attribute information can be obtained; by means of the method, the actual performance of the estimation model is more effectively improved, the problem of space-time attribute segmentation existing in an existing method is solved, an urban microcosmic and refined data source obtaining and processing mode is effectively provided, and the defect that microscale research lacks in current air quality estimation research is overcome.

The system comprises a resource layer, an information provider layer and an information service layer. The resource layer is all resources contained in the grid. The information provider layer is an aggregation of application programs providing all kind of information, and takes charge in collecting information relating to resources from lower layer, and provides the collected information to upper layer. The information service layer is the core of whole grid information management system, and is composed of multi information service nodes. Each information service node is located at each grid node of the information service layer, and is organized based on a tree type hierarchical structure to form multi information service trees, which construct the forest type grid information management system. The invention is used for providing resource information service for the service grid platform based on OGSA architecture.

The invention discloses an embedded nanometer forest structure and a preadaptation method thereof. The method comprises: providing a substrate; forming an etching stopping layer with an opening on the substrate; forming a nanometer masking structure on the surface of the substrate; performing anisotropic etching, and forming the embedded nanometer forest structure at the opening of the substrate; and removing the nanometer masking structure and the etching stopping layer. The top of the embedded nanometer forest structure can be in seamless joint with the smooth surface of another substrate, and the nanometer masking structure can totally covers the opening area, a gap can not be formed in the edge part of the embedded nanometer forest structure after the anisotropic etching, and DNA molecules can be prevented from flowing through the gap between the nanometer forest structure and a microchannel.

The invention discloses a method for measuring the diversity of forest structure based on the relationship between adjacent trees, which comprises the following steps: 1. Based on the spatial structure parameters of forest based on the relationship of adjacent trees, combining the tree species in the structural unit to carry out multi-parameter combination, and establishing the classification of the type of the spatial structure unit of forest; 2. 2, establishing a diversity model of forest space structure unit; 3, establishing a forest structure diversity model; 4, verifying that measured stand; 5, simulating that verification of the management forest. The invention has the advantages that: 1, the newly constructed diversity index of forest structure can simultaneously integrate the diversity of tree species, the position of forest trees and the size differentiation of forest trees into one index. 2. The index can be used to guide the stand structure adjustment, and it has very important application value to cultivate and manage the target trees. 3, data is conveniently acquired.

The invention provides a preparation method for a forest nanostructure and a regulation and control method for the forest nanostructure. The preparation method for the forest nanostructure comprises the following steps: S1. employing a mixture comprising a couplant and a polymer to form a film layer on a substrate; and carrying out plasma bombardment on the film layer, thereby forming the forest nanostructure. Through carrying out bombardment on a polymer layer by adopting plasma, part of products produced by the polymer can be repolymerized to form a forest nanostructure; and the couplant isadded on the basis of the polymer, during plasma bombardment, groups of the polymer and the couplant in the film layer are activated, organic groups and inorganic groups of the couplant are interconnected with organic groups and inorganic groups of the polymer separately, and meanwhile, the organic groups of the couplant are in a crosslinked action, so that active groups produced from plasma bombardment are repolymerized, an original mixture layer disappears, and similarly, the forest nanostructure is formed.

The invention provides a general topological link accurate discovery method which comprises the following steps: 1) a user records a link to discover required information; 2) equipment is found, and classification and caching are performed on the equipment; 3) all switch equipment is built as a forest structure through a STP protocol, and an upstream port and a downstream port of each switch in the forest structure are arranged; 4) each tree in the forest structure is traversed for link analysis of a layer-2 switch, wherein the link analysis includes a link from a switch to a switch, a link from a switch to a mainframe and a link from a switch to a router; 5) a link from a layer-3 switch to the mainframe is calculated; and 6) a link from a router to a router is calculated. The method provided by the invention has high versatility, is adopted to raise accuracy, and is especially suitable for layer-2 and layer-3 topology link.

The invention discloses a bitter bamboo shoot planting method and belongs to the field of agriculture planting. The method comprises the steps of shoot forest transforming, fertilizing, bamboo forest structure adjusting, heat preservation through covering and pest control. The shoot forest transforming comprises clearing and stand condition improvement. According to the clearing, a low-yield and old bitter bamboo shoot forest is subjected to comprehensive clearing, miscellaneous shrubs and over-crowded, over-small, over-old and sick bitter bamboo in the bitter bamboo shoot forest are removed by chopping, and 1-2 bitter bamboo plants which grow vigorously and strongly are reserved per square meter. According to the stand condition improvement, at the section with the gradient smaller than 20 degrees, the bitter bamboo shoot forest with certain density reserved is subjected to comprehensive deep ploughing stand condition improvement. By reasonable transforming of a mountain forest, the living environment of bitter bamboo is improved, and the yield and the quality of bitter bamboo shoots are greatly improved by reasonable bamboo breeding, felling and mixed plantation.

The invention provides a black silicon preparation process. The preparation process comprises the steps of forming a polymer layer on a substrate; removing the polymer layer, and forming a nanometer forest structure at the initial position of the polymer layer by the product generated in the polymer layer removal process; and depositing a silicon thin film material layer on the nanometer forest structure to complete black silicon preparation. The invention also provides black silicon prepared by the black silicon preparation process, and a preparation method of a black silicon-based MEMS device. By virtue of the black silicon, the preparation process, and the preparation method of the black silicon-based MEMS device disclosed in the invention, the black silicon with higher optical absorption capability is prepared by the black silicon preparation process with low process cost and high popularity and adaptation; and in addition, by adoption of the preparation method of the black silicon-based MEMS device, corrosion damage to the black silicon in the releasing process of the MEMS device is avoided.

The invention discloses a preparation method of a superhydrophilic polydimethylsiloxane film on the basis of a nano forest template, which comprises the following steps of 1 evenly mixing a polydimethylsiloxane polymer body with a polymer initiator to form a polydimethylsiloxane prepolymer according to a certain mass ratio; 2 by means of a stamping or casing method, controlling the temperature and the time, transferring nano forest structure graphics on the surface of the template to the surface of polydimethylsiloxane to form the polydimethylsiloxane film with the dense nano array structure surface; and 3 controlling process parameters of a deep reactive ion etching device, and utilizing different gas combinations to perform physical and chemical treatment on the polydimethylsiloxane film with the dense nano array structure surface. The preparation method has the advantages of utilizing the nano forest structure surface as the template and combining the plasma etching process to perform surface modification to prepare the stable superhydrophilic polydimethylsiloxane film with a contact angle smaller than 5 degrees.

The invention provides a bambusa chungii residual forest updating and rejuvenation method. The bambusa chungii residual forest updating and rejuvenation method comprises the following measures of 1, replacing bambusa chungii bags and supplementing deficient bags; 2, scientifically and reasonably applying fertilizer through application of soil testing and fertilizer recommendation; 3, loosening soil and performing land reclamation; 4, combining harvesting and cultivation and restoring a bamboo forest structure; 5, protecting bamboo shoots and cultivating forests. The bambusa chungii residual forest updating and rejuvenation method is simple in operation procedures and easy to popularize and has the advantages that the proportion of the young bambusa chungii and middle-age bambusa chungii to bambusa chungii residual forest is reasonable, nutritional conditions of the forest land are improved and the bambusa chungii nourishment and cultivation capacity is improved, thereby being particularly applicable to updating and rejuvenation of a bambusa chungii residual forest.

The invention discloses a forest structural system, which comprises a plurality of tree structures and a roof; the roof is commonly supported by the tops of the plurality of tree structures; the plurality of tree structures are fixedly connected with the roof. The forest structural system disclosed by the invention has the benefits that the forest structural system is novel and attractive and is particularly applied to landmark buildings, amusement parks and the like; the disadvantage that the tree structures are poor in lateral load resistance is effectively overcome; the safety and the reliability of the forest structural system are improved; the forest structural system is high-efficiency, low in carbon and environment-friendly; the amount of steel can be reduced; the original bending moment structure is changed into a spatial stress system; the material utilization rate is greatly increased, so that the amount of steel is reduced; due to application of the forest structural system disclosed by the invention, internal force of rod pieces and displacement of nodes can be reduced, and therefore, the structure is more reasonable to stress.

The invention discloses a man-machine conversation method and system based on a semantic framework. The method comprises a step of creating a subject forest structure tree according to an original corpus and generating a semantic frame model by using the subject forest structure tree, and mapping an entity attribute of the subject forest tree to a corresponding semantic slot in the semantic framemodel, a step of matching a subject type for a visitor question in man-machine conversation and filling the semantic slot in the semantic frame model corresponding to the subject type with the visitorquestion, a step of mapping the visitor question of the filled semantic slot in the semantic frame model to the entity attribute of the subject forest structure tree, and a step of allowing the subject forest structure tree to carry out question matching in a knowledge base according to the visitor question, and feeding an answer corresponding to the matched question back to a visitor. Thus, an accurate and complete visitor question can be obtained, on the above basis, the accuracy of the answer is ensured and the communication efficiency is improved, the system can actively interact with thevisitor, and the user experience is improved.

A water resource area Phyllostachys heterocycla forest structure adjustment method for controlling non-point source pollution belongs to the technical field of non-point source pollution control and ecological engineering. The method includes the following process steps: 1) plant allocation: selecting shrubs and small arbors which grow up locally, have economic value, and are shade-tolerant, performing forest stand plant allocation, establishing a multi-specie multi-layer multifunctional forest stand structure, increasing the biodiversity of a Phyllostachys heterocycla forest, and improve the water resource conservation ability of the water resource area Phyllostachys heterocycla forest and the water quality; 2) forest establishment: selecting healthy and strong nursery stocks to be planted; and 3) management: performing weeding and pruning in the early stage of the Phyllostachys heterocycla forest, performing water and fertilizer management before planting, and performing management after planting. The water resource area Phyllostachys heterocycla forest structure adjustment method for controlling non-point source pollution is reasonable in design, can adjust the forest stand structure of the water resource area Phyllostachys heterocycla forest structure, can increase the biodiversity of the Phyllostachys heterocycla forest, can improve ecological functions such as water and soil conservation and water resource conservation, can facilitate non-point source pollution control and water environment protection.