209results about How to "Strong convergence" patented technology

The production process of antibiotic down includes the following steps: initial sorting, eliminating dust, fine sorting, piling, initial washing, washing while adding special down detergent in 1-2.5 % of down weight for 20 min, rinsing in clear water, soaking in 1 % concentration antiseptic solution for 30 min, rinsing in clear water for 20 min, dewatering, stoving, cooling and packing. The said process can prevent down from mildew, rot and moth eating during storage, transportation and use, and make the corresponding product possess obtain antiseptic, inflammation diminishing, mildew preventing, itch stopping and other functions.

The invention discloses an online collaborative estimation method for the charge state and the health state of a ternary lithium battery. The method improves the Thevenin equivalent circuit model, obtains the state space equation of the improved Thevenin equivalent circuit model according to the circuit relationship, further obtains the mapping relation between OCV and SOC, obtains the specific values of the polarization resistance, the polarization capacitance and the internal resistance at each sampling point by acquiring the external voltage and current values and performing identification in real time by using the FFRLS algorithm, the parameter values of the Thevenin equivalent circuit model are updated in real time according to the running state of the BMS immediately before the calculation of the SOC and the SOH each time, so that the prediction of the SOC and the SOH by the BMS is more accurate, when the method achieves high-precision estimation of the SOC and SOH for the ternary lithium battery, the external circuit is simple, only the conventional BMS is used for acquiring the voltage, current and time values, and the method has extremely strong convergence, has high robustness to the initial error value, and still adopts the iterative loop calculation method, so the sampling precision requirement of BMS can be properly reduced.

The invention relates to an online self-adaptive guidance algorithm for an active section of a multi-stage boost-glide vehicle. The online self-adaptive guidance algorithm adopts a brand-new gliding time online numerical prediction iterative algorithm to solve gliding ignition time; in a powered flight stage, on the basis of a predicted reference flight path, an online model prediction static programming algorithm with terminal multi-constraint and flight process constraint capabilities is adopted for calculating a guidance instruction meeting a terminal multi-constraint condition and a flightprocess constraint at the same time according to a quadratic index of a minimum correction angle; an online closed-loop self-adaptive guidance algorithm composed of a model prediction static programming algorithm is adopted to output a closed-loop instruction in each guidance period; and the multi-stage ''boost''-''glide''-''boost'' vehicles are taken as research objects, depletion shutdown solidengines are adopted, a low trajectory mode is adopted for an active section flight trajectory, and the active section flight trajectory comprises a first-stage powered flight section, an unpowered sliding section, a second-stage powerd flight section and a third-stage powered flight section. The online self-adaptive guidance algorithm has the advantages of high flexibility and high reliability.

The invention discloses a distributed power source optimal configuration method which includes the following steps: (1) determining types of nodes in a system, numbering the nodes according to the types, considering the nodes with the serial numbers from 1 to q as the PQ nodes, considering serial numbers from q+1 to n-1 as the PV nodes, considering the node with the serial number n as the balanced node, enabling the q to serve as the number of the PQ nodes, and enabling the n to serve as the total number of the nodes in the system, (2) building an optimal configuration model with the system integration load index increment as a maximization target, and (3) solving the optimal configuration model with an interior point method to obtain a distributed power source optimal configuration scheme of the system. According to the distributed power source optimal configuration method, the voltage level of a power distribution network can be effectively improved through optimal configuration on distributed power sources.

The invention provides a calculation method of an optimal power flow based on a class extension variable interior point method. The calculation method comprises the following steps of importing a class extension variable in a non-convex nonlinear programming, and determining a lagrangian function after the class extension variable is imported; constructing a Karush-Kuhn-Tucker (KKT) condition equation of the lagrangian function after the class extension variable is imported; solving the KKT condition equation; and calculating the optimal power flow according to a prediction-correction method. According to the calculation method, when an original optimization problem has no solution for the limits of constraint conditions, a range needing to open the constraints and the corresponding optimal solution are provided; and a solution is also provided for some optimization problems which cannot be converged by using the traditional prediction-correction method; the solution space of the optimization problem is widened; and the convergence is improved. A practical solution is provided to numerical problems in a large number of equations for a new method by the calculation method, and the effectiveness is verified by an example of an electrical power system power flow optimization problem.

The invention provides an indoor typical scene matching and positioning method based on neural network. The method comprises the steps of step 1, establishing a standard typical scene positioning image library at a server side; step 2, adopting a Siamese deep neural network model, through training of a large amount of data, enabling the neural network to learn from the data to judge similarity measurement; step 3, outputting a feature vector by the deep neural network, calculating the similarity with a standard typical scene image library by utilizing the feature vector, judging the matching degree of the typical scene according to the similarity, and evaluating the quality of the model; and step 4, loading the trained model into a server, obtaining video data, sending the video data intothe trained deep neural network in the server, calculating similarity, and judging the current position. The method has the advantages of being high in training efficiency, high in convergence, high in modeling precision, good in matching effect, capable of meeting complex environments and the like, and matching and positioning of equipment in online indoor typical scenes can be accurately and efficiently achieved.

In a first aspect, the present invention provides a method of measuring attention of a person comprising presenting one or more stimulus aimed at attracting attention of the person; and obtaining positions of the eyes of the person. The method further comprises detecting one or more eye fixations from the obtained positions of the eyes; and measuring the angle of convergence of the eyes over time from the obtained positions of the eyes during one or more of the detected eye fixations.

A Chinese medicine in the form of suppository for treating chronic cervicities is prepared from flavescent sophora rhizome, baked alum, bitter apricot kernel, borneol, and the matrix which is the mixture of glyceride of fatty acid and lanolin.

The invention relates to a disease resistance-promoting feed for an egg producing period of hens and a preparation method thereof. The feed is prepared from the following raw materials in parts by weight: 10-20 parts of oat, 8-20 parts of bean pulp, 2-6 parts of corn protein powder, 1-5 parts of sesame seed meal, 1-5 parts of chili slag, 0.5-1.5 parts of rice bran oil, 1-5 parts of gardenia fruit pomace, 0.03-0.1 part of hydrolysable tannins, 0.025-0.1 part of Perstorp SR130, 0.01-0.03 part of beta-carotene, 0.1-0.2 part of natural xanthophyll, 0.001-0.05 part of carnitine, 0.03-0.08 part of glycine betaine, 0.05-0.1 part of probiotics, 0.05-0.1 part of a complex enzyme preparation, 0.01-0.12 part of a mycotoxin adsorbent and 1-2 parts of mixed yeast of oat bran and wheat fibers. The disease resistance-promoting feed for the egg producing period of hens has the effects of obviously promoting the immunological functions of the hens, promoting the intestine health and enhancing the disease resistance.

The invention relates to a method for automatic drawing and mapping of a network frame graph of a distribution network. The method comprises the following steps of initializing network frame connection information, identifying an equipment dictionary table in a network, determining the type of distribution network equipment and the number of connection points of distribution network circuits, and grouping network frames of different network numbers; carding the distribution network equipment and the distribution network circuits of each distribution network to form a node-branch incidence matrix; randomly determining coordinate values of a position array of equipment nodes according to the connection relation between the nodes; computing repulsion and attraction between the nodes; judging whether the total energy of the distribution network and the number of iterations exceed thresholds, and carrying out orthogonalization on the circuits between the nodes; and adjusting the crossed circuits, determining a cross-line position, re-determining the coordinate values of the position array of the equipment nodes and storing the coordinate values. The method is responsible for drawing a topology of an orthogonal graph of the network frames of the distribution network based on a force-directed algorithm through the connection information of the circuits in a database, the aesthetics and the consistency of the drawn graph are guaranteed, and the graphical rapid mapping of high-dimensional topological data is realized.

The invention provides a composite plant extract feed additive for preventing swine dysentery. The composite plant extract feed additive is mainly prepared from the following components of 5-10 parts of Chinese gall tannic acid, 20-50 parts of a plant essential oil composite, 3-6 parts of garlicin, 3-6 parts of lauric acid and esters thereof, 3-6 parts of acanthopanax polysaccharide, 3-6 parts of a solubilizer and 42-50 parts of carriers, wherein the plant essential oil composite is mixed and compounded from 3-6 parts of rosemary oil, 5-10 parts of thyme oil, 3-6 parts of folium eucalypti oil and 10-25 parts of cretian origanum oil. The addition proportion of the composite plant extract accounts for 0.01%-0.3% of a pig feed. The composite plant extract feed additive is prepared from natural plant extracts, can effectively prevent swine dysentery, and protect large intestines and caecums from being damaged by serpulina hyodysenteriae. In addition, through the composite plant extract feed additive disclosed by the invention, the immunity of animals can also be adjusted, the occurrence rate of diarrhoea and respiratory diseases can be reduced, and the growing performance of the animals is improved. The composite plant extract feed additive can be applied to pigs at various growth phases, is free from residues of veterinary drugs, does not have withdrawal time, does not generate drug tolerance, and is a novel green feed additive for preventing the swine dysentery.

The invention discloses a Yilon/cotton blended weft plain stitch knitted fabric which is prepared from Yilon/cotton blended yarn through weft plain stitch knitting and hydroscopic and fast dry anti-microbial one-time composite function finishing. After the optimization, the Yilon/cotton blended yarn is prepared through the Siro compact spinning technology, wherein the yarn count range is 21S-32S. The mass ratio of Yilon fiber in the Yilon/cotton blended yarn is larger than 50%, and the mass ratio of Yilon/cotton blended yarn is (60/40)-(70/30). The Yilon/cotton blended weft plain stitch knitted fabric has the advantages that hygroscopic and sweat releasing performance and breathability are good, anti-microbial performance is obtained, hydroscopic and fast dry anti-microbial function finishing is completed at a time, pilling resistance is good, and handfeel is soft and stiff. The invention further discloses a preparation method of the Yilon/cotton blended weft plain stitch knitted fabric.

The invention provides a hybrid fruit fly algorithm based on double-objective job shop scheduling. The method comprises the following steps: a mathematical model is built; the constraint conditions for the processing order of different working procedures of each work piece are built; the constraint conditions for the processing order of the working procedures of different work pieces on each machine are built; an objective function is built; fruit fly individual and fruit fly population initialization are carried out; a new fruit fly population is obtained, and a global collaboration mechanismis carried out; the new obtained fruit fly population is evaluated and iterative optimization is carried out; and if termination conditions are met, non-inferior sets obtained through multiple timesof operation are combined and screened to obtain a pareto solution set. Only two parameters need to be set, the algorithm is simple to realize, the complexity of job shop scheduling is reduced, and the job shop scheduling efficiency is enhanced; besides, the global optimization ability is strong, and the job shop scheduling problem can be effectively solved; and the hybrid fruit fly algorithm based on double-objective job shop scheduling has the advantages of few set parameters, strong convergence and strong robustness and the like.

The invention relates to an Internet of Vehicles federal learning hierarchical knowledge security migration method based on gradient memory, and the method comprises the following steps: 1, carrying out the clustering of a plurality of clients through employing a hierarchical clustering algorithm, obtaining a plurality of independent and identically distributed clusters, and merging a plurality of clients with heterogeneous data into the independent and identically distributed clusters; 2, establishing an Internet of Vehicles federated learning model based on a hierarchical cluster architecture; and step 3, performing knowledge migration among different clusters by adopting a knowledge migration federated learning algorithm based on gradient memory so as to alleviate the problem of disastrous forgetting of knowledge migration in the hierarchical cluster architecture. The method has the advantages that the problem of disastrous forgetting is relieved, and the model convergence speed and the model precision are effectively improved.

The invention relates to a wireless charging device with a dynamic frequency modulation function and a metasurface structure, and an application of the wireless charging device. The wireless chargingdevice comprises an energy conversion unit and a functional layer; the functional layer comprises a liquid-state metal metasurface structure layer and is distributed in the circumferential direction by taking the energy conversion unit as the axis to form a metasurface in circumferential distribution; or the functional layer also comprises a grounding metal layer; the functional layer is distributed in the radial direction by taking the energy conversion unit as the center of a circle to form a metasurface in radial distribution; the liquid-state metal metasurface structure layer comprises a dielectric substrate and a plurality of metasurface structural units arranged on the dielectric substrate; each metasurface structural unit comprises a liquid-state metal collector arranged on the dielectric substrate, an electrolyte solution collector, and an annular metasurface structural unit channel; and the liquid-state metal collector and the electrolyte solution collector are uniformly distributed and connected with the metasurface structural unit channel. In wireless charging, by virtue of the liquid-state metal metasurface structure, dynamic phase modulation and high focusing effect onwave source can be achieved.

The invention relates to a traditional Chinese medicine for curing intestine diarrhea. At present, there is no effective and ideal medicine for curing common diseases of chronic diarrhea, ulcerative colitis and irritable bowel syndrome diarrhea in the medical field. The traditional Chinese medicine for curing intestine diarrhea provided by the invention comprises the following components by weight part: 15 parts of rough atractylis ovata, 15 parts of rhizoma atractylodis macrocephalae, 20 parts of yam, 20 parts of Tuckahoe, 3 parts of pencil stone, 3 parts of fried semen plantaginis, 3 parts of rough semen plantaginis, 8 parts of alisma orientale, 20 parts of halloysitum rubrum, 10 parts of limonitum, 10 parts of terra frava usta, 5 parts of nutgall, 5 parts of calcined alum, 10 parts of hyacinth bean, 8 parts of alpinia katsumadai, 3 parts of fructus psoraleae, 10 parts of hawthorn coke, 5 parts of elecampane and 5 parts of notoginseng. The invention is used for curing chronic diarrhea, ulcerative colitis and irritable bowel syndrome diarrhea.

The invention relates to a production method of cup black tea. The method comprises the following steps: S1, picking fresh tea leaves, and selecting according to a standard of one bud and two leaves; S2, wilting the selected fresh tea leaves naturally indoors on a wilting machine, and turning on a fan to blow natural wind according to the water content of the fresh tea leaves; S3, rolling the wilted tea leaves; S4, fermenting the rolled tea leaves; S5, drying the fermented tea leaves with gross fire; S6, drying the tea leaves with enough fire; and S7, charging nitrogen and packaging the tea leaves, which are dried with enough fire, into small packages. Through changing the production method of the black tea, the quality on the aspects of color, fragrance and taste is greatly improved, the made black tea is fragrant and sweet, the taste is rich and fresh, the liquor color is orange red and bright, the tea grounds are red-yellow and bright, and the astringency is high.

The invention relates to a traditional Chinese medicine for treating burn wounds by adopting a dry exposed therapy, which belongs to the field of traditional Chinese medicine. The traditional Chinese medicine is prepared from 10 to 20g of calcined plaster, 10 to 20g of dragon bone, 20 to 30g of catechu, 10 to 20g of lithospermum, 10 to 20g of angelica, 10 to 20g of rhizoma atractylodis, 10 to 20g of honeysuckle, 10 to 20g of Sanguisorba officinalis, 10 to 20g of angelica dahurica, 5 to 15g of Ampelopsis japonica, 10 to 20g of frankincense, 10 to 20g of myrrh, 20 to 40g of dragon blood, 10 to 20g of indigo naturalis, 10 to 30g of borneol, 200 to 400g of sesame oil, and 60 to 80g of beeswax. The traditional Chinese medicine has the characteristics of short treatment course, quick effect, low cost, small pain, invulnerability to infection, no scars after healing and so on. Proven by thousands of patients, the effective rate reaches 100 percent, and the cure rate reaches 100 percent.

The invention relates to an important composition, in particular to a pilatory which comprises the following raw materials in parts by weight: 60-80 parts of nutgall twig and 15-20 parts of rhizoma drynariae.The invention has the beneficial effects of good curative effect, quick acting, short treating period, no relapse, no pain, no side effect, simple and easy acquirement of the raw materials, simple and convenient preparation and use, low price and convenient popularization and use, obvious effect for treating alopecia caused by various reasons and especially more obvious effect for treating male hormonal alopecia, a cure rate of more than 98%, immediate action of drug effect within one treatment course, and the curing alopecia within four to five treatment courses.

The invention discloses an image generation method based on a Gaussian mixture model prior variation auto-encoder. The method comprises the following steps: S11, presetting and generating an image training data set, wherein the training data set is composed of a plurality of batches of training data; s12, building a variation auto-encoder network of Gaussian mixture model prior; s13, uploading a plurality of preset batches of training data to the variational auto-encoder network, and determining posteriori distribution and prior distribution of the variational auto-encoder network; s14, determining a relationship between Gaussian components in the Gaussian mixture model to obtain a mapping function; s15, obtaining a reconstruction loss function and a KL divergence function by using the variational auto-encoder network and the obtained mapping function, calculating a posteriori distribution loss function and a priori distribution loss function of the variational auto-encoder network, and updating parameters of the variational auto-encoder network to generate an image; and S16, when an image is generated, taking the pseudo input as an input image and uploading the pseudo input to thevariational auto-encoder network to obtain a finally generated picture.

This invention describes implementation approaches for sliding window turbo decoders. Sliding windows are used for both the beta and alpha state metric calculations. Initialization of the beta/alpha prolog sections with data from a previous iteration is employed in conjunction with a reduced length prolog section. For subsequent sliding windows the trellis values of the prolog sections are dynamically initialized based upon data derived from the signal to noise ratio of the calculated extrinsic data or the difference between the two most probable trellis states.

The invention provides a polyurethane coating material for shoe coating and a preparation method of the polyurethane coating material. The preparation method comprises the following steps that step (1) isocyanate, polyester polyol, a moisture scavenger and a diluent are added into a reaction kettle in proportion and mixed evenly, reaction is carried out for 6-8 hours under the condition of 80-120DEG C, vacuum bubble removal is carried out, and cooling is performed to obtain a component A; step (2) polyester polyol, a chain extender, a catalytic agent and a glycerin solution of dehydrated aluminum potassium sulfate dodecahydrate are added into the reaction kettle in proportion and mixed evenly and vacuumized for 2-3 hours to remove bubbles, and a component B is obtained; and step (3) the component A and the component B are evenly mixed in proportion, vacuum bubble removal is carried out for 30s, and the polyurethane coating material is obtained. The prepared polyurethane coating material is used for coating the surface of a shoe, once-forming can be achieved, and the problem that bubbles generated in the coating due to the fact that a known spraying polyurethane elastomer reacts with moisture is further solved.