76 results about "Diversity index" patented technology

A frequency counting unit (15A) counts occurrence frequencies (14B) in input text data (14A) for respective words or word chains contained in the input text data (14A). A context diversity calculation unit (15B) calculates, for the respective words or word chains, diversity indices (14C) each indicating the context diversity of a word or word chain. A frequency correction unit (15C) corrects the occurrence frequencies (14B) of the respective words or word chains based on the diversity indices (14C) of the respective words or word chains. An N-gram language model creation unit (15D) creates an N-gram language model (14E) based on the corrected occurrence frequencies (14D) obtained for the respective words or word chains.

In one embodiment, a method includes receiving at a network device information on paths to a destination node, determining a number of common nodes or links between at least two of the paths, calculating a path diversity index based on the number of common nodes or links, and selecting a route to the destination node based on the path diversity index. An apparatus for calculating path diversity index for use in route selection is also disclosed.

The invention relates to an artificial sea-grass field which is characterized by comprising a net cage; the net cage is provided with a seashell; an iron mesh is wrapped on the net cage; a fixed cable is arranged outside the iron mesh. During construction, sea-grass seeds are introduced to the seashell or a PE rope and wound on the net cage; the cable is used to levelly lay the net cage and fix the net in the depth of the sea. The price of the construction materials used by the invention is low, the raw materials are easily available, the operation is convenient, and the depth of the prior sea which is not suitable for the sea-grass to grow is improved, so that the depth of the sea is suitable for the sea-grass to be attached and grow. In the construction method, large sea-grass seedlings are introduced artificially, so that the construction success rate of the sea-grass field is high. The artificial sea-grass field can effectively prevent the eutrophication of sea areas, improve the water quality and restore the ecological environment of the sea areas; meanwhile, the sea-grass itself is the bait of marine organisms and the place of activities and egg laying, which can improve the biological diversity index of the sea areas.

The invention relates to a method for building an ecology risk assessment model for an estuary; the method comprises the following steps of: building an ecology risk assessment index system covering biological diversity indexes, comprehensive pollution indexes and pressure indexes of social and economic development in an estuary region; determining the standard values of risk upper limits and risk lower limits of the indexes in the index system according to the existing standard values, and carrying out standardization processing on data of stations; determining the weights of the indexes by using an analytical hierarchy process, and obtaining ecology risk values by weighting and adding; carrying out section division on the estuary region; and obtaining the risk value of each section after division, disclosing a space-time distribution pattern of the ecology risk in the estuary region and discriminating main factors resulting in the risks of the estuary region. The method provided by the invention has the advantages of being simple and objective, disclosing the space-time distribution pattern of the ecology risk in the estuary region, accurately accessing and discriminating the current situation of the ecology risk in the estuary region and main risk factors and providing a reliable theory and technical support for establishing a watershed ecology risk early warning mechanism and ecology risk management.

The invention discloses a characterization method of natural surface features. The method comprises natural terrain estimation, natural landform estimation, natural ground cover estimation, natural geographical condition comprehensive estimation and natural surface pattern feature characterization. According to the method, natural surface elements in regional geographical condition elements and the influence of the natural surface elements on activities of region production, life and ecological environment are evaluated through a comprehensive evaluation model. Meanwhile, a series of indexes, including patch density and diversity index and facing natural ground surface element space pattern feature characterization, are designed through a landscape pattern analysis method. The method overcomes deficiencies that when the existing regional natural surface feature computation and characterization technology is used for regional natural surface feature characterization, comprehensive evaluation models are absent, regional natural surface space features cannot be characterized, and the like. The technical scheme serves geographical condition statistic analysis work to be about to be developed within the national scale, meanwhile is the technical basis of geographical condition-oriented space-time data mining.

The invention discloses a state diversity keeping type air conditioner load cluster control strategy. The strategy includes: collecting user's air conditioner parameters to construct a state queue model; judging whether to perform demand response or not; determining a demand response time period and extracting load diversity indexes of air conditioner clusters under a baseline state at the end moment of demand response; making response strategies according to the load diversity indexes, and implementing to adjust an air conditioner set temperature to a new range; judging whether to reset the air conditioner set temperature or not; determining a set temperature reset time period and extracting diversity indexes under the baseline state at the end moment of the reset time period, making reset strategies according to the indexes, and transmitting to reset the air conditioner set temperature to an initial range. The state diversity keeping type air conditioner load cluster control strategy has advantages that load diversity of the air conditioner clusters are taken into full consideration while regulation potential is exploited, user comfort is guaranteed, and defects of current air conditioner control strategies are overcome.

The invention discloses a determination method of a minimum sampling area and a minimum sampling interval of a forest monitored sample plot in a Karst region. The method includes (1) determining a Mulun Karst national natural protection original forest as a research region; (2) establishing a dynamic monitoring sample plot on the Mulun protection area according to CTFS (center for tropical forest science) sample plot building standard; (3) dividing the whole sample plot into 50 sample squares of 20m X 20m and recording names, diameters, heights, crown breadth, three-dimensional coordinates growing states and the like of individual trees with the diameter more than or equal to 1cm; (4) selecting community structure attribute indexes of intensity, average crown breadth, coverage, significance and average height, and diversity indexes of tree species, Shannon-Wiener index, Simpson dominance index and evenness in 200 small sample squares of 10m X 10m; and (5) analyzing data with SPSS16.0\GS+ software, and determining the minimum sampling area and the minimum sampling interval of the monitored sample plot of a Karst mixed evergreen and deciduous broadleaved forest. The method is easy to implement, convenient to operate and accurate in acquired data, and provides important basis for guiding the establishment of dynamic monitored sample plot of southwestern Karst forests.

Embodiments of the invention disclose a method and a device for detecting cheating, and relate to the technical field of e-commerce. The method and the device can reduce audit cost, and further improves depth of automatic investigation. The method comprises: counting sample data, to obtain index parameters of each sample, dimension of the index parameters of one sample including total click rate of one sample, click number of people, click rate in per hour, a sample click region, and click rate of a search term corresponding to the sample; according to the index parameters, generating feature parameters of each sample, the dimension of the feature parameters of one sample including a click rate dispersion coefficient, a dispersion coefficient of click rate in per hour, terrain concentration ratio, a query term diversity index, and a per capita click rate; according to the feature parameters of each sample, establishing a detection model, and according to the detection model, determining whether to-be-tested commodity data is abnormal or not, the dimension of the detection model including the dimensions of the feature parameters of each sample. The method and the device are suitable to be used for automatically checking cheating commodities and users.

The invention relates to biochemical method for analysing the diversity of the soil microbiocoenosis,which uses lecithoid fatty acid spectrogram combining technology to analyse the diversity of the soil microbiocoenosis.The steps is: 1)weighing specific quality of soil materials; 2)adding the buffer liquid and organic solution to get organic phase containing liqid; 3)gathering the eluent containing the polar liqid after the organic phase is separated by silicic acid column; 4)gathering the fatty acid produced by the methylesterizing reaction in alkaline environment; 5)using gas phase chromaspectrum-mass spectrum combinmeter to analyse the methylester fatty acid quantitatively to get the content of various kinds of lecithoid fatty acid; 6)calculating the diversity index and judging the diversity of the soil microbiocoenosis. The invention has important practical meanings and applies accurate and quick method for research of the diversity of the microbiocoenosis and the relevant research, especially to assessment and the future developing forecast of the farmland ecology.

The invention discloses a Biolog ECO micro-plate technique applied to soil microecological safety evaluation for genetically modified (GM) crops. The Biolog ECO micro-plate technique comprises the following steps: (1) collecting rhizosphere soil samples of the GM crops and non-GM parent crops during different childbearing periods; (2) performing Biolog ECO experiments; (3) calculating average well color development (AWCD) and diversity indexes; and (4) performing principal component analysis (PCA). The Biolog ECO micro-plate technique can be used for evaluating the influence of the GM crops on functions of rhizosphere soil microbial communities so as to evaluate the potential security risk of the GM crops for a rhizosphere soil microecosystem.

The present invention discloses a method for enriching efficient biphenyl degradation flora by using an accelerator SRpf, wherein the accelerator SRpf is added to an enrichment culture process of biphenyl degradation bacterial, continuous acclimation is performed to obtain an enrichment liquid with an efficient biphenyl degradation performance, and bacterial growth, flora diversity and a biphenyl degradation rate can be significantly increased with addition of the accelerator SRpf, wherein specifically bacterial growth is increased by 30-50%, a biphenyl degradation rate is increased by 20-70%, and a Shannon's diversity index is increased to 2.10-2.34 from 1.56-1.70. The accelerator SRpf has functions of VBNC flora recovery and bacterial growth promotion, such that the accelerator SRpf can be provided for enriching efficient biphenyl degradation flora and promoting growth of other organic pollutant degradation flora so as to provide a safe, cheap and efficient method for exploration of potential degradation flora in PCB, PAH and other pollution environments.

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 microbial index evaluation method for the health condition of mangrove wetland sediment and belongs to the field of environmental monitoring. The method comprises the steps ofinvestigating the current situation of a mangrove wetland; determining indicator microorganisms; selecting ideal reference points; establishing a mangrove sediment sample collection method and determining microbial analysis methods, wherein the microbial analysis methods comprise a sample DNA extraction method, a PCR amplification method and a clone library construction method; selecting an indicator microorganism index evaluation factor and adopting a gene copy number of the indicator microorganisms, a diversity index and the proportion of dominant flora as evaluation factors; determining the weight Wi of the microorganism index evaluation factors; calculating an evaluation ratio Ii of the microbial index evaluation factors, and calculating an evaluation index P; determining the evaluation grade, and evaluating the health condition of the mangrove wetland sediment according to the evaluation grade. The provided microbial index evaluation method for the health condition of the mangrove wetland sediment can be used for accurately and effectively evaluating the health condition of the mangrove wetland sediment under field conditions and is wide in application range.

The invention provides a method and a device for classifying Internet data streams. The method comprises following steps that characteristic data of the data streams to be classified are extracted according to a classification requirement; diversity indexes of the characteristic data with each cluster center are calculated, wherein the cluster center is formed after aggregating training data in a characteristic training set, and the diversity indexes are used for representing characteristic difference degrees between the represented characteristic data and the cluster centers; and if the diversity index between the characteristic data and one cluster center in the cluster centers is smaller than a preset threshold value, the data streams to be classified determinately belong to the class presented by the cluster center. By using the scheme provided by the invention, the classification of the Internet data streams is only related to characteristics and is unrelated to protocols, and new protocols and protocol variants can be timely classified and processed and do not need to be stored in a protocol data base, so the classification of the network data streams can be adapted to high speed variation frequencies of the network protocols and software and hardware resources do not need to be frequently upgraded.

The invention discloses an application method of bioremediation technology in aquiculture. The conventional culturing mode, particularly high-density culturing mode maintains the production mode mostly by consuming a large amount of high protein fodder and polluting the pond and the near-shore environment; and in order to prevent and control fish (shrimp) diseases, farmers use a large amount of shrimp medicaments such as disinfectant, antibiotic and the like, and the usage of the medicaments damages the ecological environment seriously. In the aged pond, toxic chemicals are deposited for years at the bottom of the pond to form black sludge and generate a large amount of toxic substances to influence the normal growth of shrimps. The method carries out bioremediation for the pond substrate sludge and the aquiculture water through measures of supplementing micronutrient, promoter and antidote or throwing beneficial microbe in the ecological system of the pond and the like; and the method reduces the content of organic substances in the pond substrate sludge, increases the diversity indexes of algae, stabilizes the algal phase, and increases the dissolved oxygen in water so as to improve the aquiculture capacity of the pond, improve the water quality, lower the cost and improve the culturing yield and quality.

The invention relates to a building method of a soybean variety SSR (simple sequence repeat) fingerprint identification card. The building method is characterized by comprising steps as follows: firstly, SSR markers are screened preliminarily, core markers required by building of the soybean variety SSR fingerprint identification card are determined with a diversity index as selection basis, overall fingerprint banding patterns of the core SSR markers in the soybean variety are recorded, the banding patterns are subjected to digital coding, finally, the banding patterns of the core SSR markers are connected in series according to a fixed sequence, and SSR fingerprint identification card codes of the soybean variety are obtained. According to the building method of the soybean variety SSR fingerprint identification card, the technical problems that an allelic variation recording mode is prone to error generation, a larger number of SSR marker combinations are adverse to follow-up comparison identification, popularization and application and the like in a traditional method are effectively solved, and the building method has the advantages that varieties are simple and clear to distinguish, data are easy to archive, record, analyze and compare and the like, and can provide scientific and effective reference base for fast and accurate identification of a new soybean variety, evaluation of genetic resources and solving of variety property right disputes.

The invention discloses a construction method for an urban park with nature-imitated biodiversity. According to the invention, by combination of on-site situations of a local city or a regional zone,the biomass of vegetation is determined; with a principle higher than a local biodiversity background value, the number of vegetation species is determined by utilizing a diversity index; through transplantation of a plurality of arbors, shrubs and herbaceous plants, the urban park is constructed; the construction method is scientific and reasonable; landscape effects and ecological benefits are consulted; through scientific transplantation of vegetation, the constructed urban park has rich plant communities, abundant species, high biodiversity and high biological conservation ecological benefits; and the construction method for the urban park provided by the invention can make full use of land resources, adapts to local environment, forms a stable and long-term coexistent close-to-natureplant community, and increases the biodiversity of an urban green land.

The invention discloses a space measure method of tree species diversity, which is to select a plurality of reference trees in a plurality of tree species of the community investigated standing forest stochastically and 4 recent neighboring wood to be the structural unit, to calculate the mingling degree of a structural unit, to cause the ratio of the tree species number to the total plants in the structural unit multiplying with the mingling degree, wherein, the obtained value is the of the structural unit; to calculate the average value of the tree species space states of the structural unit formed by a plurality of reference trees of each tree species to be the average space state of the tree species; to cause the set of the average spatial states of a plurality of tree species to be the tree species diversity index of the community investigated; to carry on the description of the tree species diversity of the community investigated through the index, which is not influenced by the sampling ground size, simultaneously, can reflect the influence of the strange species, and can express correctly the order of the tree species spatial separation degrees of the communities with the same tree species number.

The invention relates to a river longitudinal connectivity evaluation method, which belongs to the technical field of environmental evaluation, and comprises the following steps of step 1, searching river barriers in a research area, and recording the number, height, length, water storage capacity and geographic position of the river barriers in the research area; 2, evaluating each river barrierindependently, wherein the evaluation indexes comprise the current situation of fish resources, the fish passing rate, the passing difficulty, the number of habitats and the quality of the habitats and are recorded; 3, on the basis of the evaluation results of the river obstructions obtained in the step 2, giving weights according to the positions of the river obstructions away from the estuary, and carrying out weighted average on the evaluation results to obtain the river longitudinal connectivity in the research area. According to the method, the calculation and the correction of the longitudinal connectivity of the river are completed by increasing the diversity index and the fish passing rate of the current situation of fish resources and taking the difficulty, the number of habitatsand the quality of the habitats as references.

The invention discloses a method for determining a significant correlation between a physicochemical property of rhizosphere soil of S-amino-acid-rich transgenic soybeans and a diversity of microbial communities, belonging to the technical field of soil microbe research and relating to a technology for determining a positive and negative correlated significance between the physicochemical property of the rhizosphere soil of the transgenic soybeans and the diversity of the microbial communities. The invention aims to achieve the effect that the positive and negative correlated significance between the physicochemical property of the rhizosphere soil of the S-amino-acid-rich transgenic soybeans and diversity indexes of the microbial communities can be determined respectively by a scientific method. Key points of the technical scheme for solving the problem are as follows: according to different diversity indexes, utilizing IBM SPSS Statistics 19 to measure a pearson correlation coefficient among measurement results of microbial community structures of the rhizosphere soil of the transgenic soybeans with heredity and functional diversity, pH values of the corresponding soil, carbon nitrogen ratios and sulfur contents to display correlated significant levels; and finally determining sensitive significance of the diversity of the microbial communities of the soil on the physicochemical property of the soil. The method can be mainly used for determining the sensitive significance between the diversity of the microbial communities of the rhizosphere soil of other transgenic soybeans and the physicochemical property of the corresponding soil.

The invention discloses a method for improving a crop rhizosphere fungus community structure. The method comprises the following steps: adding charcoal into a plough layer with the depth of 10-20cm tobe uniformly mixed according to a ratio that 0.7-4 tonnages of charcoal is applied per mu before planting, wherein the particle size of the charcoal is less than or equal to 2mm. According to the method disclosed by the invention, the fungus community structure of crop rhizosphere soil can be obviously changed, and the diversity index is improved. According to the method disclosed by the invention, the manure raw materials are prepared into the charcoal, the charcoal is used for improving the crop rhizosphere fungus community structure, the physicochemical indexes of the rhizosphere soil arespecifically improved, the fungus community structure is improved, and the crop yield is improved.

The invention provides a method, device and system for evaluating the community stability of an open pit coal mine dump. The evaluation method comprises the following steps of: establishing an evaluation hierarchy of the community stability of the open pit coal mine dump, wherein the evaluation hierarchy comprises: a target layer, a factor layer and an index layer, the target layer takes communitystability as an evaluation target, the factor layer comprises a community structure, community functions and a community environment, and indexes of the index layer comprise community diversity indexes, coverage, height, species number, overground biomass, underground biomass, soil moisture content, soil total nitrogen, soil available phosphorus and soil available potassium; Calculating the weight of each index in the index layer by using an analytic hierarchy process, and constructing a community stability evaluation system; And normalizing the indexes in the index layer, calculating a community stability index through an evaluation system and determining a community stability level. The technical problem that the ecological stability evaluation method in the prior art cannot accuratelyreflect the structural characteristics and the functional characteristics of the community is solved.

The invention discloses a taxi passenger refusing act detection method based on large-scale real-time track analysis. The method comprises the steps that mesh dividing is performed on a city to be analyzed; the track record of each taxi to be detected is acquired, and statistics of the number of times of getting on or getting off of passengers of each mesh of each taxi to be detected is performed; the get-on passenger diversity index or the get-off passenger diversity index of each taxi to be detected is calculated according to statistics of the number of times of getting on or getting off of the passengers of each mesh of each taxi to be detected; and the get-on passenger diversity index or the get-off passenger diversity index of each taxi to be detected is compared with an existing passenger refusing act threshold one by one, and the passenger refusing act of the taxi to be detected is proved if the get-on passenger diversity index or the get-off passenger diversity index of each taxi to be detected is less than the threshold. According to the method, powerful technical support is provided for effective management of the taxi industry by starting from the two aspects of accurate positioning of the taxi passenger refusing act and macro estimation of the taxi passenger refusing act.

The invention discloses a method for predicting and evaluating a microflora structure, in particular to a method for predicting intra-area microflora diversity distribution based on a power law scaling model of species diversity-area relationship (DAR). According to the method, sampling loci are subjected to random samplesort and accumulation, accumulated species diversity under the accumulated sampling loci is acquired, and mathematical models are built respectively through a power law and a power law scaling model with exponential cutoff. A sampling and fitting process is repeated for several times, a set of comprehensive evaluation system is built according to the average parameters of the models. The system can effectively monitor or predict a distribution rule of microflora species diversity in a monitored region. The method can be applied to monitoring or prediction of distribution and structures of various kinds of microbial ecological communities in nature, and is particularlysuitable for human body microbial flora. By predicting the structure of the flora, the method can be applied to evaluation of human body health condition, and provides quantitative indexes for individualized diagnosis and treatment of flora related diseases.

The invention discloses a community diversity estimation method based on remote sensing data heterogeneity. The method comprises the steps: acquiring remote sensing data, carrying out the radiation correction, geometric correction and terrain correction, and extracting the vegetation reflectivity at 450 nm, 470 nm, 800 nm, 465 nm, 681 nm, 750 nm and 550 nm as spectral data; correcting and checkingthe obtained spectral data to ensure that no data error exists; carrying out smoothing processing on the obtained spectral data; calculating a variance SD between reflectivity of each waveband between 450 nm and 470 nm; and calculating a plant species diversity index Y. The method can quickly estimate the diversity of the plant species and can be widely applied to quick evaluation of the richnessof the plant species in grassland, grassland, shrubs, farmlands, nursery lands and the like; diversity indexes of plant species can be rapidly determined, a large amount of manpower and material resource investment is not needed, and the method has advantages of efficient information processing and investment cost saving.

The invention relates to a gagal transgenic soybean and a choosing method of the rhizosphere soil microorganism community diversity measurement index of the receptor of the gagal transgenic soybean, and particularly relates to a choosing technology of the rhizosphere soil microorganism community diversity measurement index of a transgenic soybean planted in a field, relating to the technical field of soil microbiology research, and solving the technical problem that superior diversity indices are chosen through a scientific method to measure the structural, hereditary and functional diversity of soil microorganism communities. The technical scheme is as follows: the choosing method is characterized in that the superior diversity indices for measuring various indices are chosen according to the measurement results of different diversity indices on the gagal transgenic soybean and the rhizosphere soil microorganism community diversity of the receptor of the gagal transgenic soybean and the difference significance degree of the same diversity index on the measurement values of the PLFA (Phosphor Lipid Fatty Acid), DGGE (Denaturing Gradient Gel Electrophoresis) and BIOLOG levels of the soil microorganism communities combined with the significant correlation of the rhizosphere soil microorganism communities among diversity level research indices. The choosing method disclosed by the invention is mainly used for measuring the rhizosphere soil microorganism community diversity of other transgenic soybeans.

A spatial optimization method for population protein conformation based on diversity indicators, comprising the steps of: firstly using the first stage of Rosetta to assemble in segments to generate an initial population, and using the second stage of Rosetta to assemble in segments to generate a new population; then performing Loop exchange on the conformation for the randomly selected Loop region to realize population reorganization; secondly, mutating each conformation based on the Loop region, merging all new individuals generated by the mutation with the current population, extracting theUSR characteristic information of the conformation to establish a diversity index, and updating the entire population based on the index and energy; finally, further optimizing the entire populationrespectively using the third and fourth stages of Rosetta to obtain the final prediction result. The invention has high sampling efficiency, good diversity, low complexity and high prediction precision.

The invention relates to a selective integrated real-time learning soft measurement method based on heterogeneous similarity, and belongs to the field of process industry soft measurement modeling andapplication. According to the invention, a local weighted partial least squares (LWPLS) algorithm is used as a base learner; a similarity function library is established by defining a plurality of similarity functions, then the similarity functions are selected based on an evolutionary multi-objective optimization algorithm, a base model meeting accuracy and diversity indexes is constructed according to the selected similarity functions, and finally fusion of the instant learning base model is achieved by adopting a Stacking integrated learning strategy. According to the method, the appropriate similarity is selected from the similarity library through an evolutionary multi-objective optimization algorithm to adapt to a complex industrial process, and the prediction precision is effectively improved through an integration strategy.

The invention relates to a vegetation restoration effect evaluation method based on a plant species structure. The plant species structure comprises the variety index, the richness index, the flora structure index, the source structure index, the plex structure index and the dominant species structure index. According to the vegetation restoration effect evaluation method based on the plant species structure, a contrast sample land is arranged, a quadrat survey is conducted so that data can be obtained, the plant species structure of a vegetation restoration sample land and the plant species structure of the contrast sample land are compared, and the vegetation coverage of the vegetation restoration sample land and the vegetation coverage of the contrast sample land are compared, and the vegetation restoration effect is evaluated according to difference values. The vegetation restoration effect evaluation method based on the plant species structure has the advantages that the restoration effect of plant species constitutes can be specifically and fully compared; the main problem, existing after vegetation restoration, of the plant species structure can be visually reflected.