101 results about "Nectar source" patented technology

The invention discloses an artificial bee colony refine edge potential field function-based unmanned plane target identification method. The method comprises the following steps of: 1, pre-processing an image; 2, calculating edge potential field distribution of an image to be matched; 3, initializing algorithm parameters of an artificial bee colony; 4, calculating a function value of the adaptability degree of each employed bee individual according to the edge potential field distribution of the image to be matched; 5, selecting the employed bee with more preferential value of the adaptability degree as a leading bee according to probability and searching a nectar source in surrounding space by a worker bee, and calculating the corresponding adaptability degree value; 6, updating the position of the employed bee according to the greed selection method; 7, searching a new nectar source around again by the employed bee; and 8, adding 1 to iterations, continuing the steps from the step 4 until the set maximum iterations is reached to finish the calculation, and outputting the optimal result. The method effectively improves the reliability and precision of the unmanned plane target identification.

The invention discloses a project constraint parameter optimizing method based on an improved artificial bee colony algorithm. According to the method, the problem of the project constrained parameter optimization is described by the adoption of an objective function and an equality / non-equality constraint; an artificial bee colony is initialized according to the value range of parameters; partial parameters in a parameter vector is selected according to the probability M to serve as the adjusted object, and step size in search is adjusted in a self adaptive mode, so that a guide bee can search nectar sources randomly in an intra area; according to the corresponding cost function value fi of the nectar sources, the fitness function value fiti is acquired through fi, the probability Pi of follow bees being transferred to the nectar sources is further acquired, and whether position updating is conducted or not is judged; the current optimal solution is recorded in every iterative search process, and the optimized estimated value of the parameters is acquired through the finite iterative search. The step size in search changes in a self adaptive mode with the times of search, on the premise that search accuracy is not affected, search time is reduced effectively, and search efficiency is improved.

The invention discloses a bee breeding method which includes the following steps that 1, a nectar source field is selected; 2, a beehive is arranged, a partition plate divides the beehive into an upper region and a lower region, and honeycombs are arranged in both regions; 3, queen bee breeding is conducted, the two regions partitioned by the partition plate and a super are each internally provided with a Chinese bee queen and a West bee queen, mixed feed composed of pollen, amino acid and bean protein powder is added to the Chinese bee queens and the West bee queens in the spawning period, honey water is fed, after the Chinese bee queens and the West bee queens lay eggs, honey and fresh ginger water are injected into the honeycombs to feed the bee queens; 4, as the temperature drops, the eggs laid by the bee queens are reduced, the partition plate is opened, the West bee queen is transferred, West bees are involved into Chinese bees, and the honey and the fresh ginger water are injected into the honeycombs to feed worker bees and the bee queens. According to the bee breeding method, Chinese bees are mainly bred, west bees are added at proper time so as to reduce plant diseases and insect pests generated when the Chinese bees are bred, and the problems that it is difficult for the Chinese bees to survive the winter, and honey is not easy to take are solved.

The invention discloses an intrusion detection method based on a parallel multi-artificial bee colony algorithm and a support vector machine. Firstly, an original artificial bee colony algorithm is redesigned, including: design of a nectar source coding scheme, initial design of a population, construction of a fitness evaluation function, a neighborhood search method of a nectar source and calculation of the probability of recruiting observed bees, and in such a way, the problems such as precocious algorithm, poor diversity of solutions, easy fall into local optimum, slow later convergence speed and the like are overcome. Secondly, a multi-bee colony information exchange and collaboration mechanism is designed, and by use of a parallel execution technology, a dual-loop multi-bee colony collaborative optimization model is proposed for synchronous optimization of characteristics and support vector machine model parameters. Then, based on the collaborative optimization model, an intrusion detection method and model based on a parallel multi-artificial bee colony algorithm and a support vector machine are given.

The invention relates to the technical field of bee feeding, in particular to a Chinese bee feeding device with possibility of traditional feeding and movable-frame nectar fetching for many times, and a keeping method. The Chinese bee movable-frame feeding device comprises a movable hive bottom, a hive, a super and a movable hive cover, wherein a movable bee space frame is further arranged between the super and the hive and can be convenient to take out to allow a hive body structure to be capable of being changed; when the movable bee space frame is taken down, no up-and-down bee space exists between the hive and the super; when the movable bee space frame is mounted, an up-and-down bee space exists between the hive and the super; during bee keeping, when the nectar secreting amount of an outside nectar source is small, the movable bee space frame is not added after nectar is fetched, the beehive is turned over up and down to allow bees to freely build a comb and give birth downwards, and an old comb at the upper part becomes a nectar storage area; when the nectar secreting amount of the outside nectar source is large, the movable bee space frame is added, the beehive is not turned over, the upper part is used for production, and the lower part is used for reproduction; the bee reproduction is unaffected; bee diseases are few; a bee colony develops quickly; the nectar yield is high; the nectar fetching for many times can be realized simply; and the bee reproduction is unaffected.

The invention relates to an under-actuated UUV (unmanned underwater vehicle) depth control method and provides an under-actuated UUV depth control method based on artificial bee colony optimized model predication to solve the problem of UUV depth control under complex horizontal angle constraint conditions. The method includes: firstly, acquiring an incremental vertical plane predication model of an under-actuated UUV; secondly, unifying horizontal angle control input constraint conditions as H delta U (k) < / =gamma; thirdly, by model predication control, turning the UUV depth control problem into a secondary planning problem under the constraint conditions; fourthly, obtaining a global optimum position of a nectar source; fifthly, obtaining control input at a moment k; sixthly, guaranteeing that the UUV reaches an appointed UUV diving depth R (k+1) to complete diving. The under-actuated UUV depth control method is applicable to the field of UUV depth control.

The invention provides a wind power forecast method and device based on a self-adaptation bee colony algorithm. The wind power forecast method comprises the steps that (1) wind speed and wind power data are normalized, and a support vector machine is used for establishing a prediction module in a regression mode; (2) parameters to be optimized and a fitness function are selected, positions of bees and nectar sources are initialized, and a uniform distribution function is called to be assigned to the positions of bees; (3) lgx logarithm transformation is carried out on a bee searching space, and the yield of each food source is calculated; (4) neighborhood searching is carried out, and self-adaptation weight coefficient adjustment is carried out; (5) whether the condition of convergence is met, if yes, the step (6) is executed, and if not, the step (3) is repeated; (6) the optimized parameters are obtained, and the prediction model is updated; (7) wind power measurement data are used for training the updated prediction model and carrying out prediction, and the prediction result is obtained. The wind power forecast method and device based on the self-adaptation bee colony algorithm effectively improve the prediction accuracy of the output power of a wind turbine generator, and improve the stability and economy of a wind power integration grid.

The invention relates to a beekeeping method. The beekeeping method includes the following steps of (1) cultivation of a queen bee, (2) replacing of the queen bee, (3) disease and pest control, (4) more bees than honeycomb skin and (5) rich nectar source. By means of the beekeeping method, disease and pest invasion to cultivated bees can be greatly reduced, the bees are healthy, vitality and ovulation capability of the bees are high, and thereby, a bee colony is strong.

The invention relates to a method for keeping bees, comprising the following details: a, selecting a beehive which is in a square structure; b, reproducing by using three queen bees in the reproducing process; c, replacing the queen bee of each zone in turn before a nectar flow; and d, when a main nectar source blooms and secretes nectar, removing two queen bees and keeping only one queen bee to reproduce. With the adoption of the method for keeping bees, the queen bee has high fecundity, so that the swarm is reproduced fast and kept strong all year round, thereby producing a large amount of high-quality bee products.

The invention discloses a bee breeding method. The bee breeding method includes the following steps of 1, bee breeding site selecting, wherein a glade with wide forest land, gradual terrain and rich Chinese-medicinal-material nectar sources is selected; 2, beehive designing; 3, nectar source selecting; 4, Chinese-medicinal-material flower changing period, wherein before and after the flower changing period, mixing honey is fed to bees, and is gradually decreased according to the proportion of the nectar, and before the flower changing period and large-scale bee honey collecting, manually-mixed sweet water is sprayed and irrigated to flowers and leaves of Chinese medicinal materials on the sunny day to be used for neutralizing the medical performance. According to the bee breeding method, honey is collected in woodland with the rich Chinese-medicinal-material nectar sources, and in the honey-collecting flower changing period, nectar in the coming flower period is fed to the bees; in addition, the mild sweet water is prepared, the medicine performance of Chinese herbal medicine is neutralized, the honey collecting period of the bees is prolonged, the variety and the quality of the honey is enriched, and the economic benefits of bee breeding are increased.

The invention relates to a method for discriminating output performance of royal jelly by using a honeybee Dop2 gene fluorescent quantitative PCR technology. The method comprises steps of: acquisition of honeybee samples; extraction of head RNA of the honeybees; synthesis of the head cDNA of the honeybees; design of primers; qRT-PCR reaction system and condition; and discrimination of output performance of royal jelly. From the height of molecular biology, the invention provides a scientific and accurate fluorescent quantitative PCR method for discriminating output performance of royal jelly, aiming at the problem that production of royal jelly is critically influenced by conditions including bee colony potential, nectar source, environment and climate. In addition, the method can substantially shorten period for investigation of royal jelly production property, accelerate the speed of honeybee breeding, reduce cost of investigation of royal jelly production property and breeding cost, and mitigate working strength for field investigation of royal jelly output performance.

The invention provides a method for substituting flaveria bidentis by utilizing amorpha fruticosa. In the method, the amorpha fruticosa is adopted to biologically substitute the flaveria bidentis. In the method, the plant height, the branch number, the living weight per plant, the plant number per square meter and the soluble protein content of the flaveria bidentis are significantly decreased comparatively; the method can play the role in obviously controlling alien invasion of the flaveria bidentis; especially for the second year, the inhibitory action of the amorpha fruticosa to the flaveria bidentis is more obvious; in addition, the flaveria bidentis also has the functions of improving the soil, conserving the water resource, conserving the water and soil, beautifying the environment, and providing the feeds, the nectar sources and the weaving materials and the like, thus the method provided by the invention can control the population quantity of the flaveria bidentis, and also can realize better economic value.

The invention relates to a method for honeybees to overwinter in high latitude areas. The method comprises the steps that (a) overwintering bees are determined, wherein honeybee pupae produced by a queen bee between August 20th and September 10th are selected as overwintering honeybees of a second year at the right age; (b) mites are controlled, wherein the bee mites are killed cleanly when sporadic nectar sources exist during the period between September and October; (c) fodder is prepared, the fodder is reserved sufficiently during the last nectar source in autumn, and five to seven pieces of comb honey are arranged for each overwintering swarm, namely, at least 20 kg fodder is provided for at least twenty thousand honeybees; (d) beehives are laid out, wherein the beehives are moved into an overwintering site for being laid after November 10th, and the door face of each beehive faces north or west; (e) inspection is carried out, wherein full inspection is carried out on the swarms at the beginning of December, and it is guaranteed that the queen bee is available, fodder is sufficient, and the honey comb is full of honeybees; (f) heat preservation is carried out, wherein straw curtains, newspapers and the like cover the upper faces and the peripheries of the beehives for heat preservation and winter protection. On-site overwintering of the swarms and fixed point bee-keeping are achieved through the method, trouble and difficulties brought by flow bee-keeping are reduced, and the survival rate of the overwintering swarms is over 93 percent.

The invention discloses a method for breeding bees in caves in a cold highland area. The method includes: selecting a place for beehives-arranging the place for the beehives-breeding the bees inside the beehives at the arranged place-checking bee colonies-checking spawning situations of queen bees-checking the bees and honeycombs-resetting the honeycombs. The method for breeding the bees in the caves in the cold highland area has the advantages that the bottoms of the caves are paved with ceramic tiles, so that the bottoms of the caves are smooth; the beehives are made of wood and can be moved out and moved in during checking; each built cave is covered with concrete of 20-30 centimeters in thickness to enable an in-cave temperature to range from 10 DEG C to 15 DEG C, so that the bees are protected from freezing or flying out; since at least more than two nectar sources exist for a whole year within 2 kilometers of a hill, by arranging the bee colonies at downwind positions which are a little lower than the nectar sources, the bees can gather honey with empty stomachs by flying against wind and come back downhill with full honey by following the wind, the bees bred by the method can produce more honey, and the method is simple.

The invention discloses a method for improving cigarette moisturizing and aroma-improving effects by utilizing red rose. Apis mellifera nectar source honey collected from red rose flowers by apis mellifera is selected, undergoes impurity removal through a 180-mesh nylon net, is dissolved with purified water according to the weight ratio of (1:10)-(1:20) and then is sprayed to tobaccos. Cigarettes treated through the honey water have rich honey sweet aroma and strong red rose flower sugar fragrance, smoke is finer, the cigarette fragrance is more coordinated and attractive, and the aroma-improving effect is very obvious. The level of moisturizing and aroma improvement of high-end cigarettes is improved, the evaluation characteristics of the cigarettes, such as pleasure, richness, fragrance and sweetness, can be improved remarkably, and the method has good application prospect.

The invention discloses a method for improving the yield and quality of Chinese bee honey. The Chinese bee has the advantages of capability of taking advantage of sporadic nectariferous plants, strong gathering power, high utilization efficiency, long period of honey gathering, high adaptability, and high resistance to mites and diseases. While, the Italian bee is larger than the Chinese bee and docile, has strong spawning and feeding capacity, is able to suddenly gather a large quantity of nectar sources, and has strong bleeding capacity. The method comprises the steps of putting the honeycomb spleens of raised Chinese bees in the bee hive of raised Italian bees to feed the Italian bees for 1-2 days and taking the honeycomb spleens back to the bee hive of the Chinese bees, wherein the honeycomb spleens contain Chinese bee egg spleens. The method combines the advantages of the Chinese bee and the Italian bee. Through Italian bee feeding, the adult Chinese bee is strong, the gathering and bleeding abilities of the Chinese bee are improved, and the yield and quality of honey are improved. The produced honey is deep yellow, has a unique taste, is mellow, and has high concentration, and the honey is sweet and delicious, and is of rich nutrition.

The invention relates to a method for discriminating output performance of royal jelly by using a honeybee he*71 gene fluorescent quantitative PCR technology. The method comprises steps of: acquisition of honeybee samples; extraction of head RNA of the honeybees; synthesis of the head cDNA of the honeybees; design of primers; qRT-PCR reaction system and condition; and discrimination of output performance of royal jelly. From the height of molecular biology, the invention provides a scientific and accurate fluorescent quantitative PCR method for discriminating output performance of royal jelly, aiming at the problem that production of royal jelly is critically influenced by conditions including bee colony potential, nectar source, environment and climate. In addition, the method can substantially shorten period for investigation of royal jelly production property, accelerate the speed of honeybee breeding, reduce cost of investigation of royal jelly production property and breeding cost, and mitigate working strength for field investigation of royal jelly output performance.

The invention relates to the technical field of bioinformatics and provides a method for mining epistasis loci of an artificial bee colony optimized Bayesian network, including four steps S1 to S4. The method for mining epistasis loci of the artificial bee colony optimized Bayesian network, comprises firstly using three stages of expansion, contraction, and symmetry detection to calculate the Markov blanket of nodes through conditional mutual information so as to construct an initial nectar source network structure; then, based on the initial nectar source, randomly adding, subtracting and reversing edges to generate new nectar source until the maximum number of initial nectar sources is reached. The three operations (collecting bees, observing bees, and reconnoitering bees) of artificialbee colony algorithm and the BIC and MIT scoring method of the Bayesian network are configured to evolve the structure of the Bayesian network, find the optimal network structure, quickly and accurately obtain the epistasis gene loci that affect phenotypic traits, and assist the gene function mining.

The invention provides a reproduction device of a rare butterfly namely ideopis similis, a construction method of the reproduction device and a reproduction method of the ideopis similis. In accordance with the problem of living environment adaptability existing in large-scale reproduction of the ideopis similis, the reproduction device of the ideopis similis is constructed and comprises a foundation, a reticulate pattern chamber fixedly mounted on the foundation, as well as roosting plants, avoiding plants, bee plants, and host plants, which are arranged on the inner foundation of the reticulate pattern chamber. The adult reproduction device of the ideopis similis, of which the roosting plants, the host plants, the bee plants, the avoiding place plants and an artificial nectar source are reasonably distributed, notably increases the survival rate, the mating rate and the reproduction potential of the adult ideopis similis, the reproduction of the ideopis similis is effectively stabilized to a high level, and powerful guarantee is provided for scaleable breeding of the ideopis similis.

The invention discloses a flexible job shop scheduling method based on an improved artificial bee colony algorithm, the artificial bee colony algorithm is improved and applied to a flexible job shop scheduling problem, a scheduling scheme is expressed by adopting double-layer integer coding of each nectar source individual, and the coding and decoding operations are simple. According to the method, population initialization is improved, a method of combining random selection and rule selection is adopted to generate a high-quality initial solution, an improved IPOX cross method is provided foran employed bee search process, and the development and exploration capability of an algorithm can be balanced while excellent parent individuals are inherited; in the bee observation stage, a variable step size strategy is adopted to enhance the global search capability of the algorithm, and local optimum is avoided; the diversity of the population is maintained by increasing the number of investigation bees; in the algorithm iteration process, a greedy strategy is adopted to reserve an elite solution so as to ensure that the result is not degraded, and an optimal workshop scheduling resultis obtained.

The invention discloses a network intrusion detection method. The defect that a bee colony algorithm is weak in local searching capacity by mainly using the advantage that the particle swarm algorithmis strong in local search capacity is remedied. The method comprises the following steps: further mining the high-quality nectar source location selected by the bee colony algorithm by adopting the multi-particle swarm algorithm; improving a probability computing way that the scouter follows the leader in the traditional bee colony algorithm, and computing the following probability by adopting the method of combining the more reasonable weighting reverse roulette and the roulette; and importing the multi-bee colony mechanism with different thresholds to further improve the searching performance of the algorithm. Through the detection method disclosed by the invention, the detection accuracy rate on known intrusion by the network intrusion detection system can be improved, and the detection rate of the whole intrusion detection system is improved at last.

A multilayer artificial honeycomb is provided, the honeycomb comprises a plurality of combs; wherein each of the combs includes a plurality of working units working independently from each other; each of the working units includes an artificial frame and three layers of honey-storing rooms movably arranged in the artificial frame. The present application is flexible based on the combs construction property of different kinds of bees, suitable to the bees which store honey and breed in the same comb, such as Chinese honeybee, scoliid, bumblebee and the like. Therefore, the honeycomb produces honey all the year round, and is suitable for the regions in high altitudes, cold and having few nectar sources, and also suitable for mountainous areas and fields. The present application facilitates the popularization of breeding and application of Asian bees.

The invention relates to a parasitic wasp attractant and a preparation method and application thereof. The parasitic wasp attractant comprises the following raw materials in percentage by weight: 0.02%-5% of linalool, 0.1%-10% of eugenol, 0.05%-5% of anethole, 0.1%-5% of benzyl propionate, 0.01%-1% of methyl 2-methoxybenzoate, 2%-7% of carrageenin and the balance being water. The parasitic wasp attractant disclosed by the invention can be effectively used for attracting scoliid adults to seek a nectar source for feeding and oviposition by virtue of the aromatic odor of an aromatic compound, thereby enhancing the parasitic rate of scoliids on grubs effectively; the parasitic wasp attractant disclosed by the invention can be used for controlling the quantity of the grubs by utilizing the natural enemies, scoliids, of the grubs, thereby greatly reducing the field dosage of a chemical insecticide, alleviating the environment pollution and enhancing the quality of agricultural products compared with a traditional chemical agent for prevention and control of grubs.

Disclosed is an IGBT junction temperature prediction method based on improved ABC-SVR which comprises the steps of collecting multiple sets of IGBT junction temperature and junction temperature related electrical parameters to serve as a sample data set; improving a formula for searching a nectar source in an artificial bee colony algorithm; optimizing the parameter combination of the support vector regression machine by using an improved artificial bee colony algorithm according to the formula for searching the nectar source to obtain the optimal parameter combination of the IGBT junction temperature prediction support vector regression machine model optimized based on the improved artificial bee colony algorithm; establishing an optimal IGBT junction temperature prediction support vectorregression machine model according to the optimal parameter combination; carrying out training and accuracy judgment on the established optimal IGBT junction temperature prediction support vector regression machine model; and predicting the junction temperature by using the optimal IGBT junction temperature prediction support vector regression machine model. The method has the advantages of few required parameters, simplicity in implementation and high prediction precision, and can be widely applied to application occasions with high IGBT junction temperature measurement difficulty and high required precision.

The invention relates to a storage robot path planning method based on an artificial bee colony-adaptive genetic algorithm, and belongs to the field of path planing. The method comprises the steps of establishing a grid map according to storage environment and obstacle area position information; in allusion to the defects that the performance of a genetic algorithm depends on the quality of an initial population and selection, crossover and mutation operations of genetic operators, the convergence speed is low and local optimum is easily caused when robot path planning is solved, introducing an artificial bee colony algorithm bee nectar source searching mechanism to generate an initial population, so that the initial population quality of the genetic algorithm is improved; optimizing a path planning objective function, and taking a path length, a path turning node number and an energy consumption factor as evaluation indexes; and introducing self-adaptive crossover and mutation operators to improve the convergence speed of the algorithm. Compared with a traditional genetic algorithm, the improved genetic algorithm is greatly improved in the aspects of algorithm convergence speed, path smoothness and energy consumption.

The invention discloses a method for promoting moisturizing and aroma enhancement effects of cigarettes by means of cloves. The method comprises the steps that western bee nectar source honey which is gathered by western bees in the cloves is selected, a 180-mesh nylon net is used for filtering out impurities, and the honey is dissolved through purified water according to the weight ratio between 1 to 10 and 1 to 20 and sprayed on tobacco leaves. The cigarettes which are treated by honey water have rich honey sweet and strong sugar fragrant of clove flavor, smoke is fine and smooth, the cigarette flavor is balanced and attractive, and the aroma enhancement effect is very obvious. According to the method for promoting the moisturizing and aroma enhancement effects of the cigarettes by means of the cloves, the level of moisturizing and aroma enhancement of high-end cigarettes is promoted, the evaluation and analysis characteristics of pleasantness, richness, aroma quantity, sweetness and the like of the cigarettes can be significantly improved, and good application prospect is achieved.

The invention discloses a method for improving cigarette moisturizing and aroma-improving effects by utilizing monarda didyma. Apis mellifera nectar source honey collected from monarda didyma flowers by apis mellifera is selected, undergoes impurity removal through a 180-mesh nylon net, is dissolved with purified water according to the weight ratio of (1:10)-(1:20) and then is sprayed to tobaccos. Cigarettes treated through the honey water have rich honey sweet aroma and strong monarda didyma flower sugar fragrance, smoke is finer, the cigarette fragrance is more coordinated and attractive, and the aroma-improving effect is very obvious. The level of moisturizing and aroma improvement of high-end cigarettes is improved, the evaluation characteristics of the cigarettes, such as pleasure, richness, fragrance and sweetness, can be improved remarkably, and the method has good application prospect.

The object of the invention is to provide a Tent mapping improved bee colony algorithm for image threshold segmentation. The method includes: employing Tent mapping to initialize the individuals of the algorithm; employing the Tent mapping to uniformly distribute initial values in a solution space; employing the standard manual bee colony algorithm to search a new nectar source near a nectar source; updating the position of the new nectar source, maintaining the position of the new nectar source if the position is better than the position of the original nectar source, and otherwise maintaining the position of the original nectar source; updating the position of the new nectar source aiming to a following bee according to the method of step 3 and the selection probability of roulette, maintaining the position of the new nectar source if the position is better than the position of the original nectar source, and otherwise maintaining the position of the original nectar source; updating the optimal solution aiming to a leading bee and the following bee; re-generating the nectar source individual if the optimal solution reaches the limited number; transferring to the step 3 for iteration if the iteration frequency is lower than the preset iteration frequency; and otherwise outputting the optimal solution. The beneficial effects of the Tent mapping improved bee colony algorithm are that premature convergence is prevented, and the searching speed is fast.