31 results about "Glowworm" patented technology

The invention discloses a glowworm optimization algorithm-based ore zone image segmentation method, belonging to the technical field of image processing. The method comprises the steps: firstly, pre-treating an ore zone image, converting the colorful ore zone image into a gray level image and carrying out self-adaptive low-pass filtering treatment; uniformly distributing glowworms in a grey level histogram space of the ore zone image, updating the value of the fluorescein of each glowworm, according to local information, global information and a policy of step size self-adaptive updating along with iterations, updating local decision domain radius of the glowworms, calculating a fitness function, according to the fitness function, and searching for the global optimal solution, wherein after multiple iterations, the global optimal position is the optimal threshold value; and according to the optimal threshold value, segmenting the ore zone image. According to the method, in the moving process of the glowworm, the global information and the policy of step size self-adaptive updating along with iterations are added, the convergence speed and accuracy of the algorithm are high, the global optimization capability is strong, and the method is suitable for ore zone image segmentation.

The invention discloses an air pollution source identification method based on aerosol remote sensing and a glowworm swarm algorithm. The method comprises the steps: aerosol optical depths (AODs) are obtained according to the inversion of a satellite spectral remote sensing image, and wind speed vectors of the corresponding areas are obtained; the satellite spectral remote sensing image and the corresponding area digital maps are meshed to obtain an AOD average value of each image block and image block coordinates corresponding to enterprises; a coordinate of each image block serves as an initial position of a glowworm in the GSO algorithm, the AOD average values serve as the properties of glowworms, when the positions of the glowworms are updated every time, glowworm similarity correction factors obtained from the properties and wind speed and direction correction factors obtained from the wind speed vectors are added, the above factors are iterated to obtain source positions of the glowworms; the radiuses of the pollution coverage range of the enterprises are calculated, the enterprises are pollutant generation enterprises corresponding to the glowworms in the pollution coverage range of the enterprises, and the pollution source identification is realized. The method can effectively and accurately realize the air pollution source identification.

A glowworm swarm optimization method-based image multi-threshold segmentation method is composed of the steps of pre-processing an image, determining the number of the image thresholds, setting an objective function, using a glowworm swarm optimization method to search an optimal threshold and carrying out the image multi-threshold segmentation, and concretely comprises reading a color image and carrying out the gray processing to obtain a gray histogram of the image, according to the number of the peak values of the histogram of the image, automatically determining the number of the segmentation thresholds, randomly distributing the initial positions of the glowworms within an image gray value range, determining the fitness function value and the fluorescent brightness value at the position of each glowworm, searching the glowworms having the largest fluorescent brightness values within the decision radius of each glowworm and comparing, updating the positions and the decision radiuses, after iteration, finding out a globe optimal segmentation threshold, and carrying out the multi-threshold segmentation on the gray image after the first-order Wavelet transform. Compared with the prior art, the method of the present invention has the advantages of being fast in segmentation speed and high in segmentation threshold precision, etc., and can be used for the color image and gray image segmentation.

The invention discloses a circuit breaker reliability evaluation method based on a glowworm optimization algorithm. The circuit breaker reliability evaluation method comprises the following steps: determining a main fault mode of the circuit breaker; establishing a circuit breaker fault tree; establishing a fuzzy judgment matrix between the fault factors of the circuit breaker; converting a fuzzy consistency qualification used for solving each fault factor weight into a constrained optimization problem; according to an established constraint programming problem equation, importing the glowworm optimization algorithm to solve the severity weight of each fault factor; and establishing a circuit breaker reliability evaluation model to carry out reliability evaluation and obtain a circuit breaker reliability evaluation result. When the fuzzy judgment matrixes are inconsistent, circuit breaker reliability evaluation can be carried out, and the practicability of the method is improved. In addition, when the circuit breaker reliability evaluation method calculates the severity weight of each fault factor, the glowworm optimization algorithm is introduced. Compared with the traditional calculation method, the circuit breaker reliability evaluation method has the advantages of being high in convergence precision and high in convergence speed and can more simply and quickly realize circuit breaker reliability evaluation.

The invention provides a spectrum sensing method based on a multi-target quantum glowworm searching mechanism. The method comprises the steps that a multi-target spectrum sensing model is built, and parameters of a searching method are determined; a form of a multi-target fitness function needing to be solved is determined; non-dominated quantum position sorting is conducted on quantum positions of quantum glowworms in population according to fitness values of the quantum positions, and the quantum positions, of which the non-dominated level is 1, of the quantum glowworms are put into an elite quantum position set; the quantum positions of the quantum glowworms are updated by using a quantum coding mechanism and a quantum evolution behavior, non-dominated quantum positions are selected, and the elite quantum position set is updated; according to the final Pareto front-end quantum position set, a cognitive radio system selects a corresponding quantum position according to the different requirements of the maximized detection probability and the minimized false alarm probability. According to the spectrum sensing method based on the multi-target quantum glowworm searching mechanism, the technical problem of multi-target spectrum sensing can be solved, and the spectrum sensing method can be applied to some scenes to which an existing cognitive radio spectrum sensing method cannot be applied.

The invention relates to the technical field of photovoltaic grid connected, and discloses a glowworm improved algorithm for photovoltaic maximum power point tracing under partial shadow. The algorithm is characterized by comprising the following steps that a mathematical model under the circumstance of photovoltaic array shadow is constructed, and a mathematical expression of the outputting powerP of a photovoltaic array is obtained; a fluorescein value represents the outputting power P of the photovoltaic array, the position of a glowworm represents the outputting voltage U of the photovoltaic array, through the specific values of difference values of the optimal target values and the worst function values when the iteration is t and t-1, the variable step size factor s (t) is defined,and the variable step size factor is utilized to replace the fixed step size of a traditional glowworm algorithm; Matlab simulation software is utilized to compare convergence conditions of the improved variable step size glowworm algorithm and the traditional fixed step size glowworm algorithm, and the convergence speed of the initial iteration and the stability of the late iteration can be effectively improved.

The invention discloses a bionic small night lamp. The bionic small night lamp comprises a main body, a flicker cavity is formed in the main body, a flicker device is arranged in the flicker cavity, apower cavity is formed in the bottom wall of the flicker cavity, a control cavity is formed in the bottom wall of the power cavity, and a sliding cavity is formed in the bottom wall of the control cavity. The bionic small night lamp is simple in structure, convenient to operate and easy to produce, the bionic small night lamp can simulate glowworms to flicker and emit light, thus a natural light-emitting phenomenon is created, a curtain can be utilized to project different patterns, the unique personality of a house owner is highlighted, and therefore, the bionic small night lamp has high using value and promotion value.

The invention discloses a high-disease-resistance old duck feed and a preparation method thereof. The high-disease-resistance old duck feed is prepared from the following raw materials in parts by weight: 55-60 parts of corn, 15-20 parts of dried sweet potato, 10-15 parts of dried steamed bun, 5-10 parts of pumpkin, 3-5 parts of mulberry, 3-5 parts of lettuce leaves, 2-4 parts of allium tuberosum leaves, 3-4 parts of celery leaves, 3-5 parts of watermelon peel, 2-4 parts of grape seed powder, 2-3 parts of melon pulp, 5-6 parts of sugarcane juice, 3-4 parts of agaric powder, 4-5 parts of glowworm powder, 1-2 parts of polygonum multiflorum, 1-3 parts of the root of kudzu vine, 2-4 parts of liquorice, 4-5 parts of fresh pteris multifida poir, 3-4 parts of flos sophorae, 1-3 parts of lucid ganoderma powder and 1-2 parts of dandelion. The old duck feed is reasonable in nutrition match; multiple cereals act as main materials, so that geese can be supplied with more energy; in addition, traditional Chinese medicines such as polygonum multiflorum, the root of kudzu vine and liquorice are added, so that the diseases of old ducks are reduced, the appetite of the old ducks is whetted, and the cultivation benefit is enhanced.

The invention relates to a photovoltaic maximum power tracking method based on an improved glowworm algorithm. The method comprises the following steps: step S1: loading an initial vaccine base; stepS2: setting population size, initializing positions of all glowworms in the population according to the vaccine base and taking objective function values of all the glowworms as respective maximum fluorescence brightness; step S3: dividing perception radii of all the glowworms and updating attraction degrees; step S4: updating positions of all the glowworms; step S5: performing immunization supplementing operation; step S6: determining whether a convergence condition is met or not, if so, performing the step S7, if not, returning the step S4; step S7: acquiring maximum power positions according to current positions of all the glowworms and updating the vaccine base. Compared with the prior art, due to addition of the vaccine base and the immunization supplementing operation, failure of thealgorithm is effectively avoided. Convergence speed is increased while control effect is achieved. Rapid response is achieved in a dynamic environment. Additionally, a step size function is created so that steady state oscillations of the algorithm are reduced.

The invention relates to fireworks powder, and particularly relates to fireworks powder with a twinkling effect. Novel fireworks glowworm powder mainly comprises 60-70 parts of black powder, 5-10 parts of sulfur, 3-10 parts of barium nitrate, 3-10 parts of barium carbonate, 5-15 parts of fine aluminum dross, 3-10 parts of copper oxide and 5-10 parts of glutinous rice flour in parts by weight. Compared with the prior art, the fireworks glowworm powder has the advantages that 1. when the glowworm powder burns, a light yellow twinkling effect is generated; and 2. twinkling flower patterns are tiny, and the twinkling effect is intense.

The invention discloses healthcare type glowworm nutrient solution and a method for preparing the same. The healthcare type glowworm nutrient solution which is feed comprises, by weight, 10-20 parts of Chinese herbal medicine extract liquid, 25-40 parts of purified well water, 10-15 parts of osmanthus fragrans honey, 1-3 parts of carotene, 2-3 parts of protein powder and 0.1-0.5 part of potassium sorbate. The healthcare type glowworm nutrient solution and the method have the advantages that well water to be sucked by glowworms is purified, then the osmanthus fragrans honey and other nutrient substances are added into the well water, accordingly, the problem of diseases of existing glowworms due to the fact that the existing glowworms suck unclean well water can be effectively solved, and nutrition which is unavailable in the well water can be supplemented.

According to one embodiment, the present invention relates to luciferase derived from Malaysian Luciola firefly, the luciferase having a maximum luminescent wavelength of 580 nm at pH 8, or the luciferase indicating 23.3 times or more of luminescent intensity in comparison to that of Rhodamine 6G.

The invention discloses an extraction method and application of firefly chitosan, and further provides a fodder. The extraction process of the firefly chitosan comprises the steps of cleaning and drying fresh fireflies, then decalcifying, removing protein and decoloring, and finally, extracting through an ultrasonic technology matched with the solvent under the aid of alkali, so as to obtain the chitosan. In the extraction process of the firefly chitosan, decalcification and deacetylation help reduce product impurities effectively, the ultrasonic technology cooperates with the solvent so as tofurther promote deacetylation, so that the product quality is higher, and the product can improve the immunity when being used in the fodder and can prohibit bacteria activity,.

The invention discloses a method for preventing and treating diseases and insect pests of kumquats. The method comprises the following steps that enzyme liquid is sprayed to a field before planting, then the field is covered with fresh weeds with roots on a nearby mountain slope for three months, and earthworms are put in the field; planting is carried out, wherein 70-80 kumquat seedlings are planted per mu, the weeds higher than kumquat plants are cut off from the middle, the cut weeds cover the weeds, watering is carried out once after planting, the weeds keep moisture and restore the ecological environment of soil, watering and fertilization are not needed, and therefore the kumquat plants take root deeply; the weeds are reserved so that the weeds can penetrate into branches and leavesof the kumquat plants, and if it is found that diseases and insect pests happen to the kumquats which are planted nearby, the enzyme liquid is sprayed once a month; 10-12 glowworms are kept above permu of field; when the kumquat plants start to bear fruits, the weeds within the range of two square meters of the kumquat plants are cut off from the height where the branches and the leaves of the kumquat plants grow. The method can solve the problems that an existing kumquat planting method is severe in disease and insect pest and poor in fruit quality.

The invention discloses extraction and application of glowworm grease, and further discloses a formula of making the glowworm grease into squirrel fodder. The preparation method for the glowworm grease generally comprises the following steps that glowworms are dried and smashed, glowworm powder is subjected to microwave preheating and extraction with water, after the extracted liquid is layered, an oil layer is obtained, and finally, the oil layer is filtered and is subjected to thermal dehydration to obtain the glowworm grease. According to the extraction, the extraction time is reduced to the largest extent by utilizing the microwaving and negative pressure technology, and extraction quality is improved, thereby acquiring the glowworm grease with better quality and higher purity.

The invention provides an efficiently-expressed high thermal stability luciferase encoding gene and a preparation method of the firefly luciferase. The gene is obtained through chemical synthesis after firefly luciferase genes derived from Photinuspyralis are subjected to molecular modification. At present, the efficiently-expressed high thermal stability luciferase encoding gene has not been reported, the luciferase expressed by the encoding gene in escherichia coli accounts for 72.1%-83.5% of soluble protein in whole cells, and the expression amount of the luciferase is 481-739 mg/10 g of wet bacteria. According to the efficiently-expressed high thermal stability luciferase encoding gene, the expression product is a luciferase, the thermal stability of the luciferase is high, the temperature can be preserved for 20 minutes under the condition of 40 DEG C, and the relative activity of about 95% can still be kept.