96results about How to "Maintain diversity" patented technology

The present invention provides a Hybrid GA (HGA) in which local optimization operation is performed to only a few individual with lower fitness selected from each population of widely distributed generations in genetic algorithm (GA). Since this HGA shows very powerful global searching ability even in a vast multi-dimensional parameter space with strong multi-peak feature, the present invention may efficiently determine a number of structural parameters from a little information included in X-ray diffraction circles. As a result, the present invention may determine a complicated material structure from powder specimen even though it is hard to make a single crystal specimen. Thus, the development of new materials would be highly accelerated in the field of medicines or materials, etc.

The invention discloses mobile-crowd-sourcing-sensing-based motivation system realization method. The method comprises the following steps: determining a task model and issuing a task; determining a task value; selecting a worker according to the task demand; executing the task by the worker; and carrying out reward distribution by a utility-based multi-payment motivation mechanism. According to the invention, a mobile-crowd-sourcing-sensing-based motivation mechanism is provided and a location-based social network (LBSN) is used for task budget definition, data quality improvement, and multi-payment realization and the like; and a referable task value is provided for the task demander of the system and a utility-based multi-payment motivation mechanism scheme is also provided for maintaining data diversity and motivation fairness. With integrated utilization of the user characteristic information and task context information, the user can be motivated to participate in the task, thereby improving the participation enthusiasm of the user.

The invention discloses a cultivation method of white peony root, comprising the following steps of: site selection and soil preparation, propagation and cultivation, field management, disease and pest control, harvesting and processing as well as packaging, storage and transportation. The invention has remarkable social, economic and ecological benefits as follows: (1) germplasm for producing white peony can be unified and optimized, and the quality of the white peony can be greatly improved and stabilized by large-area popularization, thereby playing a role of realizing the standardized cultivation of the white peony root, prompting the modernization progress of the white peony root industry in China and satisfying the social medicinal requirements; (2) a germplasm support is provided for the standardized cultivation of the white peony root, which is beneficial to improving the yield of the white peony root medicine, laying a favorable foundation for realizing the production scale and industrialization and promoting the sustainable development of the white peony root industry; and (3) by storing and optimizing the germplasm resources, the cultivation method is beneficial to maintaining the biological diversity and lays the foundation for the sustainable development and utilization of the white peony root resources.

The invention relates to a multi-population simulated annealing hybrid genetic algorithm based on similarity expelling. The multi-population simulated annealing hybrid genetic algorithm includes the following steps: coding is carried out; initialization parameters are set; initial populations are created; fitness values are calculated; selecting operation is carried out; interlace operation is carried out; mutation operation is carried out; gene overturning operation is carried out; simulated annealing Metropolis rules are judged; migration operation based on similarity expelling is carried out; optimal storage is carried out; judgment is ended. The migration operation based on similarity expelling particularly includes the following steps: calculating the fitness values of individuals in a source population and a target population; selecting the individual with the largest fitness value from the source population to serve as the individual to be immigrated; conducting similarity calculation; conducting expelling replacement. The multi-population genetic algorithm with simulated annealing operation can improve the local search capability of the multi-population genetic algorithm, and the algorithm can search for approximate solutions even though optimal solutions to a larger extent. The individual similarity judgment is additionally carried out, attention is paid to differences between the individuals, the diversity of populations is maintained, premature convergence of the genetic algorithm is avoided, the solving quality of the algorithm is improved, and the algorithm is closer to the optimal solutions.

The invention discloses a regional distributed generator (DG) maximum penetration level calculation method based on a genetic algorithm. The method comprises particular steps: (1) the access type, the number and the access nodes of DGs in a distribution network are determined, and according to historical data of wind power generation and photovoltaic power generation in the region, the maximum output of the DG in each time period in typical days is determined; (2) an objective function for the maximum accessible capacity for DG access and operation constraint conditions are determined, and the constraint conditions comprise equality constraints and inequality constraints; (3) in each time period, the initial access capacity for each node DG is generated through the genetic algorithm; (4) time sequence power flow optimization calculation based on the genetic algorithm is carried out on the access combination; and (5) according to the objective function, the optimal DG access capacity of each access point is determined. The maximum penetration level problem of different types of DGs in conditions of any number and any access position can be solved, and a basis is provided for maximum utilization of DG grid-connected power generation under safe operation conditions.

The invention relates to methods to select animals, such as mammals, in particular, domestic animals such as breeding animals or animals destined for slaughter, for having desired genotypic or potential phenotypic properties, in particular, related to muscle mass and / or fat deposition or, in the case of mammals, to teat number. The invention provides a method for selecting an animal for having desired genotypic or potential phenotypic properties comprising testing the animal, a parent of the animal or its progeny for the presence of a nucleic acid modification affecting the activity of an evolutionary conserved CpG island, located in intron 3 of an IGF2 gene and / or for the presence of a nucleic acid modification affecting binding of a nuclear factor to an IGF2 gene.

The present invention relates to a technique relating to a method of processing a layout optimization problem. In connection with an element layout optimization problem in which it is requested to optimally arrange a plurality of elements within a space of two or more dimension, a first algorithm executing step is carried out. In this step, when information concerning the state of initial layout of the plurality of elements is available, a genetic algorithm is executed, thereby reducing non-uniformity in density of the plurality of elements staying in the initial layout. Subsequently, a second algorithm executing step is executed. In this step, when there are input data regarding the state of layout unbalance reduction halfway stage of the plurality of elements after reduction of non-uniformity in density in the first algorithm executing step, a local layout unbalance reducing algorithm is executed, thereby further reducing non-uniformity in density of the plurality of elements staying in the layout unbalance reduction halfway stage. As a result, the layout optimization problem of optimally arranging the plurality of elements in a space is processed. In this way, an element layout optimization problem of large scale is also processed.

The invention discloses a method for remedying salmonella-polluted soil by utilizing antagonistic microbe agent, comprising the following steps: separating the salmonella-polluted soil by utilizing an aseptic filter paper plate method to obtain antagonistic bacterium suitable for the soil environment and having the function of inhibiting or killing the salmonella; fermenting antagonistic microbe strains through the following processes: inoculum inoculation, first-stage culture, second-stage culture and inoculation and second-stage extensive culture to obtain antagonistic bacteria liquid; spraying the antagonistic bacteria liquid to the salmonella-polluted soil, and then uniformly raking the soil. In the method, the microbial ecology principle is applied, and the function of inhibiting or killing the antagonistic bacterium of the salmonella which is obtained from the soil separated and screened from the soil is utilized to remedy the in-situ microbes for the salmonella-polluted soil, not only the damage of the physical remediation to the soil structure and the soil organism is avoided, but also the secondary pollution caused by the chemical remediation is avoided, therefore, the method is a low-cost and environmentally friendly remediation way.

The invention discloses a data transmission method, a resource scheduling method, a device, a terminal and network-side equipment. The data transmission method comprises the steps of transmitting a working frequency band information list which is supported by the terminal and capability indicating information which represents whether the terminal supports data transmission and data receiving on the working frequency band in the working frequency band information list to the network-side equipment, wherein the working frequency band information list is used for determining the actual working frequency band of the terminal by the network-side equipment, and the capability indicating information is used for determining a scheduling strategy to the terminal by the network-side equipment; and when the terminal has a data service requirement, performing data transmission according to an actual working frequency band which is composed of at least one uplink frequency range and at least one downlink frequency range that are determined by the network-side equipment and scheduling information that corresponds with a scheduling strategy determined by the network-side equipment. Through the data transmission method, the resource scheduling method, the device, the terminal and the network-side equipment according to the invention, an uplink-and-downlink frequency matching transmission plancan be effectively supported, and different scheduling strategies are applied to different terminals.

The present invention relates to the fields of molecular biology, combinatorial chemistry and biochemistry. Particularly, the present invention describes methods and kits for dynamically reducing the variance between analyte taken from complex mixtures.

The invention discloses a normal-temperature excrement sample preserving fluid. The preserving fluid comprises thiocyanate, organic alcohol, a complexing agent, phosphate buffer, Tween and serum albumin, wherein the concentration of the thiocyanate in the preserving fluid is 0.01-5M, the organic alcohol in the preserving fluid accounts for 30-60% of the weight of the preserving fluid; the concentration of the complexing agent in the preserving fluid is 0.001-0.35M; the phosphate buffer in the preserving fluid accounts for 5-15% of the preserving fluid; the Tween in the preserving fluid accounts for 0.05-1% of the weight of the preserving fluid; and the concentration of the serum albumin in the preserving fluid is 2.5-100mM. According to the normal-temperature excrement sample preserving fluid disclosed by the invention, the intestinal flora in excrement samples can be preserved at the normal temperature, the structure and diversity of the intestinal flora can be effectively maintainedwithin 14 days under room temperature conditions, the required conditions and cost for preservation of the intestinal flora can be reduced, and the intestinal flora in the excrements can be effectively preserved under special conditions such as outdoor sampling, sample transporting and the like.

The present invention discloses a back-propagation (BP) neural network immune genetic algorithm based microbial fermentation optimization method which is characterized by comprising the following steps: establishing a microbial fermentation dataset, constructing a BP neural network, using the training dataset to train the BP neural network, performing binary coding on microbial fermentation control parameters, executing a vaccine extraction operator on an initial population, executing a crossover operator, executing a mutation operator, executing a vaccine inoculation operator, taking the BP neural network that is qualified in the training in step four as a fitness function to calculate the fitness value of each individual in the population, executing an immune detection operator, calculating the concentrations of the individuals, executing an immunologic balance operator, and finding optimum individuals from a new population generated by fermentation. The BP neural network immune genetic algorithm based microbial fermentation optimization method can be used for obtaining an optimum control parameter combination according to the existing fermentation data, and the redesign an experiment is not needed.

The invention discloses a method for reseeding alfalfa in degenerated leymus chinensis pasture. The method comprises the following steps: reseeding alfalfa into natural pasture, and performing fertilization and pasture management of clipping at regular time, so as to maintain the ratio of the alfalfa in the natural pasture. Tests show that the pasture reseeding technique is simple to operate, and materials for reseeding, fertilizers and the like are wide in source, simple in production cost, low in cost and applicable to large-scale popularization. By adopting the reseeding technique disclosed by the invention, not only are productivity and forage grass quality of the degenerated leymus chinensis pasture improved, but also the nutrients of nitrogen in pasture soil are increased, utilization and circulation of the nitrogen in a pasture ecological system are promoted, diversity and stability of a pasture system are maintained, and technical supports are provided to establish high-yield stable natural pasture. The method has very high economic and ecological values, relatively high practicability and generalizability, and very wide application prospects.

The invention discloses a rice micro-ridge mixed sowing cultivation method. The method comprises the following steps: S1, draining water in the mature period of preceding crops until a harvester can work; S2, harvesting the preceding crops, reserving stubbles, smashing straw of the preceding crops and then scattering smashed straw on the reserved stubbles so as to form rhizosphere layers for ricegrowth; S3, performing ditching in the field to form ecological ditches; and S4, flattening the vertical stubbles and the crushed straws on the compartment surface to form a lower cushion surface, forming a seed, fertilizer and mud compound into a ridge shape, enabling the compound to fall on the lower cushion surface to form ecological ridges, and forming a plurality of ecological ridges betweenadjacent ecological ditches, wherein the seed, fertilizer and mud compound is obtained by uniformly stirring and mixing rice seeds, a chemical fertilizer and mud in a mass ratio of (6-14):(50-70):(6000-10000). Firstly, the ecological ridges are used as a medium to wrap organisms and vegetative bodies and is heat-insulating, moisture-preserving, water-permeable and air-permeable; and secondly, theecological ridges are used as a donor to provide water nutrition for organism vegetative mass. The seeds which are subjected to accelerating germination and budding in the ridges grow faster than weedseeds in the ridges and outside the ridges, and roots and leaves grow smoothly.

The invention discloses a grass planting concrete construction based on a herbal root system architecture and a fabrication method of the grass planting concrete construction. The grass planting concrete construction comprises a grass planting concrete multilayer structure; the concrete construction is divided into 2-4 layers according to root system density and a natural rootstock growth rule; the total thickness is 10-15cm; the porosity of the grass planting concrete construction is 10-35%; and the grass planting concrete construction is prepared from the following raw materials in parts byweight: 113-313 parts of cement, 1421-1568 parts of coarse aggregate, 113-313 parts of fine aggregate, 2-10 parts of hardening agent, 0.23-0.63 parts of water reducer and 29-95 parts of water. The fabrication method gives a comprehensive consideration from microstructure features and physiologic growth feature parameters of vegetation, and contributes to providing scientific and good growing spaceand growing conditions for plant root system growth; the growth activity and a coverage rate of herbal plants in concrete are improved and increased; the tensile strength, fracture strength, bendingresistance and reversed filter performance of the concrete are improved; and a herb-concrete-soil complex adapted to the natural plant growth rule is formed.

The present invention relates to the computer field. Aiming at solving the problem that a complex parameter can be mistaken when being transferred between an application module and COM groupwares compiled by different languages, and a method and a device for transferring the parameter between the application module and the COM groupwares is provided, wherein the device includes an adapter; a unique identifier for receiving instructions, parameters of the instruction, a unique identifier of the application module and a unique identifier of the COM groupwares; the present invention searches the map table according to the instruction unique identifier, and obtains the data structure information of the parameters, and transforms the parameters into simple parameters; a transforming module transforms the data structure of the simple parameter into a target data structure; a combining module receives the process result of the transforming module, transforms the simple parameter into complex parameters which can be outputted according to the application module unique identifier or the COM groupwares unique identifier. The present invention has the advantages that the present invention can transfer complex or simple parameters between the application module and the COM groupwares of the different or same language.

The present invention relates to methods of identifying multi-finger Zf polypeptides that bind to a sequence of interest. Zf polypeptides identified using the methods described herein can have affinity and specificity for their target sites that is superior to those produced by alternative methods.

The invention discloses a power grid evaluating indicator correlation analysis method. The power grid evaluating indicator correlation analysis method is executed in a computing apparatus. The power grid evaluating indicator correlation analysis method includes the following steps that: a first evaluation indicator data sequence is obtained, wherein the first evaluation indicator data sequence includes a plurality of groups of combined evaluation indicator data; whether inclusion relations in indicator connotation exist on the first evaluation indicator data sequence is judged; whether causal relations in index logical exists on a second evaluation indicator data sequence is judged; whether function relations in indicator number exist on a third evaluation indicator data sequence is judged; whether membership relations in indicator structure exist on a fourth evaluation indicator data sequence is judged; if membership relations in indicator structure exist on the fourth evaluation indicator data sequence, a predetermined processing method is adopted to process the fourth evaluation indicator data sequence, so that a fifth evaluation indicator data sequence can be obtained; and the fifth evaluation indicator data sequence is outputted. The invention also discloses a corresponding power grid evaluating indicator correlation analysis apparatus and a computing apparatus comprising the power grid evaluating indicator correlation analysis apparatus.

The invention relates to a multi-target particle swarm optimization algorithm based on an ASU strategy. According to the multi-target particle swarm optimization algorithm, elitism set reduction is carried out based on the ASU strategy, the uniformity and the diversity of optimal solution distribution can be improved, a relatively-superior solution can be searched, and the reliability of final results is accordingly improved. As for multi-target optimization, in the elitism set reduction process, a particle swarm is divided into a plurality of grids, the gradually-updated Euclidean crowding distance is adopted for screening particles in each grid, the diversity and the uniformity of solution distribution are prevented from being damaged by removing the particles in a swarm set at a time, and the relatively-superior solution can be searched.

A transmitter in a multiple input multiple output (MIMO) communication system is provided. The transmitter includes a multiplexer for multiplexing an input bit stream into a plurality of bit streams, and outputting the bit streams in parallel; a bit-order rearranger for reordering bits constituting the bit streams, which are output from the multiplexer in the same time period, and outputting the reordered bits as reordered bit streams; and a modulator for modulating the parallel reordered bit streams output from the bit-order rearranger according to their associated modulation schemes, and transmitting the modulated symbols via their associated antennas.

The present invention relates to the fields of molecular biology, combinatorial chemistry and biochemistry. Particularly, the present invention describes methods and kits for dynamically reducing the variance between analyte taken from complex mixtures.

The invention discloses a service management method, which is applied to a software system. The service management method comprises the following steps of: subdividing a service through business scope, wherein each business scope has a business scope mark; adding a projection of the service on the business scope into at least one service provider according to the subdivision result, wherein the projection comprises the business scope mark, a service type and a service establisher; and obtaining the service establisher of the projection according to the business scope mark and the service type and returning a service example by the service establisher. According to the method, not only a requester of the service needs only to consider the business scope and the service interface type by subdividing the service through the business scope, but also the service is stored and managed by using a service provider and a service establisher, and the service projection is added to the service provider according to the application range of the service. Meanwhile, a service provider link for addressing upwards is provided, so that correct positioning and storage of the service can be guaranteed. In addition, the invention also provides different service life cycle types.

The invention relates to methods to select animals, such as mammals, particularly domestic animals such as breeding animals or animals destined for slaughter for having desired genotypic or potential phenotypic properties, in particular related to muscle mass and / or fat deposition lean meat, lean back fat, sow prolificacy and / or sow longevity. Provided is a method for selecting an animal for having desired genotypic or potential phenotypic properties comprising testing said animal, a parent of said animal or its progeny for the presence of a nucleic acid modification affecting the activity of an evolutionary conserved CpG island, located in intron 3 of an IGF2 gene and / or for the presence of a nucleic acid modification affecting binding of a nuclear factor to an IGF2 gene.

The invention discloses an image data dimension reduction method and system based on discriminant regularization locality preserving projection, wherein the method comprises the following steps: acquiring a sample image; cutting the sample image into sample vectors, and performing L2 norm normalization processing on each sample vector to obtain a processed sample vector xi; determining a first similarity matrix Sij; according to the determined second similarity matrix S'ij, W is a projection matrix, and Bij is an elastic matrix; solving a matrix V and a characteristic value lambda according to(X (L + lambda L ') XT) V = lambda (XDXT) V; extracting feature vectors corresponding to the relatively large first v feature values in the matrix V to form a projection matrix; skipping to a step ofdetermining a second similar matrix until an iteration condition is met, and recording a finally obtained projection matrix as a target projection matrix; and performing dimension reduction processing on the image to be subjected to dimension reduction by adopting the target projection matrix. According to the image data dimension reduction method and system provided by the invention, the similarity and difference of the data are considered at the same time.

The invention provides a method for optimizing a structure of a shaft part based on an immune genetic algorithm. The method is implemented by using a computer and comprises the following steps of: converting a combination function correspond into antigens, wherein the combination function is formed by combining the volume of the shaft part with the sensitivity of reliability for a design variable by an image set method; converting the basic size of the shaft part into antibodies; performing immunoselection on the antibodies based on the expected reproductive rate of the antibodies; after performing cloning, crossing and variation operation on an antibody population, making the antibody population generate a progeny antibody population by adopting advantageous measures such as a mating strategy, an elitist strategy, new thought of comparing and substituting similar antibodies, a measure of dividing a memory pool into two parts and the like; and therefore, optimizing the basic size of the shaft part through repeated generation continuation genetic evolution. The method provided by the invention has the advantages of efficiently optimizing the shaft part, improving optimization efficiency and precision and reducing cost. At the same time, the invention provides an effective method for calculating the reliability of the shaft part and the sensitivity of the design variable.

The invention provides a score recommendation method based on heterogeneous information. The method includes the following steps: 1, obtaining user ID, article ID, score information, comment information and article description information of an article; 2, converting the score information, the comment information and the article description information into a score vector, a comment vector and an article description vector respectively; 3, introducing the score vector, the comment vector and the article description vector into a loss function, and solving is conducted by the adoption of a gradient descent method; 4, according to final vectors obtained through calculation in the step 3, a user recommendation degree of the article is obtained through equations. By the adoption of the score recommendation method, the short text problem of text messages is solved, different information under different space expression can be integrated more effectively, so that the score information, the comment information and the article information are fused better, and finally, more accurate recommendation is made.

A method and system for provisioning circuits on multiple parallel links with a single setup message is disclosed. A setup message specifying links in a circuit path is transmitted to switches along the circuit path. If a switch determines that a link specified in the setup message has insufficient bandwidth for the circuit, the switch substitutes a parallel link having sufficient bandwidth for the specified link in the circuit path. The setup message can indicate whether substitution for a link is permitted. This can be used to prevent substitution for links when provisioning service routes for new circuits in order to maintain diversity requirements, while allowing substitution for links when provisioning restoration routes for failed circuits in order to reduce restoration time.

The invention discloses a biomass landfill management method which comprises a biomass landfill management system, wherein the biomass landfill management system comprises a computer, a plurality of data collection devices, a plurality of displayers, an input device and a printer. The data collection devices, the displayers, the input device and the printer are connected with the computer. Fixed gross of CO2 of photosynthesis of landfill plants of nations or areas is counted through the biomass landfill management system. Nations or areas with multiple landfill biomass can help nations or areas where tasks of greenhouse gas emission can not be finished, business of 'carbon emissions permit trading' can be promoted, and tasks of emission reduction are finished. An atmosphere greenhouse effect is relived step by step, glacier melting on at two poles is restrained, rising of a sea level is controlled, climate on the earth and biological diversity are maintained, and survival time of human beings on the earth is prolonged.