2297 results about "Feather" patented technology

The invention relates to a green bioactive organic fertilizer, which effectively solves the problems of soil hardening, environmental pollution, and harm from residual chemical substances of grains, vegetables and fruits to human bodies. The solved technical scheme is that the green bioactive organic fertilizer is prepared by taking sludge, waste powder, poultry and animal feces, straw powder, residues, feather powder, amino acid original powder, phosphoesterases complex, a first group of complex bacteria, and a second group of complex bacteria as raw materials; uniformly mixing the sludge, the waste powder, the poultry and animal feces, the straw powder, the phosphoesterases complex and the first group of complex bacteria; stacking and covering the mixture with a sack for performing a biogenic reaction, and keeping a reaction product at the temperature of 50 to 55 DEG C for 2 days; adding the residues, the feather powder, the amino acid original powder into the reaction product, uniformly mixing the mixture for performing a secondary reaction, and keeping a reaction product at the temperature of 50 to 55 DEG C for 7 to 10 days; and adding the second complex bacteria into the latest reaction product, uniformly mixing, palletizing, checking and packaging the mixture. The green bioactive organic fertilizer has the advantages of scientific formulation, simple preparation method, good effect, no pollution and no harm to human bodies.

The invention discloses an image stitching method based on overlapping region scale-invariant feather transform (SIFT) feature points and belongs to the technical field of image processing. Aiming at the problems that the algorithm computation is large and subsequent matching error and computing redundancy are easily caused due to the non-overlapping region features because of extraction of the features of the whole image in the conventional image stitching algorithm based on features, the invention provides an image stitching method based on the overlapping region SIFT feature points. According to the method, only the feature points in the image overlapping region are extracted, the number of the feature points is reduced, and the algorithm computation is greatly reduced; and moreover, the feature points are represented by employing an improved SIFT feature vector extraction method, the computation during feature point matching is further reduced, and the mismatching rate is reduced. The invention also discloses an image stitching method with optical imaging difference, wherein the image stitching method comprises the following steps of: converting two images with optical imaging difference to be stitched to a cylindrical coordinate space by utilizing projection transformation, and stitching the images by using the image stitching method based on the overlapping region SIFT feature points.

The invention discloses a method for tracking gestures and actions of a human face, which comprises steps as follows: a step S1 includes that frame-by-frame images are extracted from a video streaming, human face detection is carried out for a first frame of image of an input video or when tracking is failed, and a human face surrounding frame is obtained, a step S2 includes that after convergent iteration of a previous frame of image, more remarkable feature points of textural features of a human face area of the previous frame of image match with corresponding feather points found in a current frame of image during normal tracking, and matching results of the feather points are obtained, a step S3 includes that the shape of an active appearance model is initialized according to the human face surrounding frame or the feature point matching results, and an initial value of the shape of a human face in the current frame of image is obtained, and a step S4 includes that the active appearance model is fit by a reversal synthesis algorithm, so that human face three-dimensional gestures and face action parameters are obtained. By the aid of the method, online tracking can be completed full-automatically in real time under the condition of common illumination.

The invention discloses a method and equipment for automatically feeding badminton feathers. The feathers are sorted, kept in the same direction and turned in the vibrating conveying process under the combined action of a vibrator, a guide channel, a large and small head distinguishing mechanism and a conveying channel, and the conveyed feathers meet the requirements of the same direction and consistent bending angles by combining the recheck control of a subsequent detection mechanism. The whole feather feeding process is automatically finished, conveying efficiency is high, conveying quality is stable and reliable, and the subsequent feather inserting process can be continuously performed for 24 hours; and the corresponding production equipment is small in size, low in maintenance and production cost, high in loading speed and completely suitable to be matched with the conventional badminton production equipment.

Monazites and xenotimes are rare-earth phosphates showing a combination of properties expected to be suitable for thermal barrier coatings. For example, lanthanum phosphate (La-monazite) can be used to form thermal barrier coatings to protect superalloy and ceramic parts exposed to high temperature and damage by sulfur, vanadium, phosphorus and other contaminants. The monazite or xenotime coatings can be applied using any of the common application methods including EB-PVD, laser ablation and plasma spraying. The stoichiometry of the coatings can be modulated according to the stoichiometry of specially prepared starting target (source) material. The most effective coatings appear to be largely crystalline and show a columnar structure with feather-like microstructure. For La-monazite, effective coatings between 10 and 500 micrometers in thickness can be deposited on substrates having temperatures between about 750° C. and about 950° C.

A method and tooling for partial disassembly of a bypass turbofan engine wherein the longitudinal axis of the bypass turbofan engine remains generally horizontal during disassembly. The low pressure turbine module is removed with a low pressure turbine module horizontal removal tool. An extended bearing nut tool may be supported by a stabilization member and may remove a bearing nut. An extended high pressure turbine shaft stretching tool may stretch a high pressure turbine shaft to release a high pressure turbine shaft nut. An extended bearing pulling tool may be used to pull a bearing while the low pressure turbine shaft remains in place. A modified measurement bridge may be used to measure the position of certain components while the low pressure turbine shaft remains in place. A nozzle jig may be used to assemble nozzles and feather seals to create a nozzle module. And an arcuate datum may be used to make certain measurements from the aft end of the high pressure turbine shaft while the low pressure turbine shaft remains in place.

The invention provides a method for extracting keratin from feather, comprising the steps that after being crashed, clean feather is pretreated by ethanol and hydrochloric acid; by adopting mercaptoethanol reduction method, the pretreated feather is deacidized to obtain keratin solution of the feather, and then clean sand white keratin solid powder is obtained through acid coprecipitate, washing and drying. The extracted keratin is analyzed and represented by the methods such as ultraviolet-visible spectrum, infrared spectrum, SDS-gel electrophoresis, elementary analysis, etc. The results shows that the keratin extracted by the method mainly contains the elements such as C, H, N, O, S, the total content of which reaches over 99%, and the purity is higher; the molecular weight of the keratin mainly ranges from 5 to 20 kD and 40 to 80kD.

The invention discloses a raster map building method based on local map splicing.The method comprises the following steps that 1, a robot scans and records environment information; 2, scanning data points are filtered to remove useless points; 3, local raster maps are calculated based on the filtered data through a ray tracking method; 4, sift feature points and corresponding feature descriptors of the local raster maps under two adjacent poses are calculated; 5, according to relevancy of the feature descriptors, the feature points are ranked, and feature points with small feather feature descriptors are filtered away; 6, the two local maps are subjected to iterative closest point algorithm ICP, and a transformation matrix of the two local maps is calculated; 7, the steps 1-6 are repeated, a transformation matrix of the whole path is recorded and completed, and finally data is merged to obtain a global raster map.The map is built through one-time laser data, so that the estimation error of the map is mainly the observation error of a laser sensor, and no estimation error exits.

The invention discloses a text detection and recognition method combining character level and character string level classification. According to the method, pixel sets possibly belonging to the same character are extracted from images to form alternate characters; alternate characters which do not meet the geometric feature statistic rule are filtered out; a character level classifier based on the character rotation and dimension invariance features is adopted for classifying the alternate characters, and the probability that the alternate characters are certain characters is determined; the characters are combined two by two, and initial character strings are formed; the similarity between every two character strings is calculated, two character strings with the highest similarity are combined into new character strings until no character strings capable of being combined exist; a character level classifier based on the character string structure feathers is adopted for classifying the character strings to determine the character strings with semanteme; and the probability that character strings to be recognized are certain characters is utilized for recognizing the character strings, and the semantic text is obtained. The text detection and recognition method has the advantages that the text detection and recognition process is used as a whole, the interaction of the text detection and the recognition is utilized for improving the result precision, and simplicity and high efficiency are realized.

The invention provides a three-dimensional framework fast extraction method based on branch feathers, which comprises the following steps: firstly, automatically extracting root points and tip end points of a tree type voxel model; then, carrying out seed point distance conversion on the root points and the tip end points of the voxel model; automatically judging the branching feathers and optimizing cutting surfaces according to the growth strategy of regions from the root points or the tip end points; decomposing an object into meaningful components with reasonable delimitation between components; and finally, extracting voxel component frameworks and connecting the voxel component frameworks into a structural framework of the object. The framework fast extraction method based on branch feathers is fast and effectively, and the structural integral frameworks maintain topological structures of the original voxel model, and can not generate fracture and redundant complicated branches. The actual plant model construction is carried out on the basis of the framework, the actual scanning data can be processed, and the invention has the anti-noise capability and has high reconstruction accuracy. The test on a plurality of data sets proves that the invention is applicable to bodies with annular structures and can process surface voxel models and solid voxel models.

The invention discloses a biological fertilizer special for flowers. The biological fertilizer special for flowers comprises the following materials in parts by weight: 30-40 parts of chicken manure, 15-20 parts of peat soil, 12-15 parts of rice chaff, 10-13 parts of wheat bran, 8-15 parts of fallen leaves, 20-30 parts of mushroom residue, 12-15 parts of feather, 10-16 parts of straw, 12-17 parts of monoammonium phosphate, 15-25 parts of urea, 10-15 parts of potassium sulphate, 12-15 parts of ammonium sulfate, 11-12 parts of ammonium bicarbonate, 6-8 parts of carboxymethyl chitosan, 4-6 parts of azadirachtin, 2-4 parts of zinc sulfate, 4-6 parts of ferrous sulfate, 1.1-1.3 parts of borax, 25-28 parts of potassium fulvic acid and 0.5-0.8 part of microorganism yeast. The invention also discloses a preparation method of the biological fertilizer. The biological fertilizer special for flowers has the advantages that the ecological environment and farmland soil can be protected, nitrogen, phosphorus and potassium are blended scientifically, crops are easy to absorb, the production increasing is obvious, double functions of fertilizing and killing insects are realized, and environmental protection is achieved.

The present invention comprises various hair extension methods for implementing without glue. Our system does not require heat or chemicals for attachment or strong solvents for removal. Anyone familiar with the hair industry knows what damage that these harsh chemicals can cause. This invention looks and feels completely natural and are easy to wash and style and also can be colored or permed. Our system is so gentle that it can be used on the most sensitive and difficult areas such as the top area of head. It is as light as feather, you won't even know that you're wearing it.

This hair extension method can add more length and volume without the discomfort of weaves and glues. It's gentle, light and ultra thin. User can even add hair to the sensitive top area.

Provided is a webpage text classification method based on feature selection. Firstly, data sets formed by a large number of webpages are divided into a training set and a testing set; secondly, different weights are endowed to labels according to webpage content expression capacity of information in a webpage label domain, and the weights (the product of a normalized word frequency and an inverse document frequency) of feature words in each webpage in the training set are calculated; on the basis of the obtained weights and through the combination of an intra-class distribution law and inter-class deviation, feather vectors of all webpages in the training set are calculated, and accordingly feature vectors of all classes in the training set are calculated; finally, the word frequency of feature words in each webpage in the testing set is calculated, the similarity between a webpage to be classified and each class in the training set is calculated, the class with the maximum similarity serves as the class where the webpage to be classified belongs, and a classification result is obtained.

The invention relates to a preparation method of feather albumen powder and the feather albumen powder prepared by the method. The method comprises the following steps: firstly carrying out pretreatment of washing, drying and cutting; then effectively carrying out steam explosion on feather by a steam explosion technique to damage the stable space structure of feather keratin; and finally carryingout zymohydrolysis treatment to enable the feather to become dissoluble small peptide and amino acid, thereby enhancing the digesting rate of pepsin of feather albumen and largely enhancing the biologic valence. The preparation method has the advantages of simplicity, low production cost, short processing period and high equipment efficiency. The content of crude albumen in the feather powder achieves more than 90%, and the digesting rate of in vitro pepsin achieves more than 88%.

The invention discloses polymorphic nitrogenous fertilizer and a preparation method thereof. The polymorphic nitrogenous fertilizer comprises, by weight, 13-18 parts of urea, 63-65 parts of ammonium sulfate, 13-15 parts of ammonium chloride, 3-4 parts of animal hairs and feathers, 14-16 parts of modified attapulgite, 0.6-0.8 part of zinc sulphate monohydrate, 0.2-0.4 part of micronutrients fertilizer, 3-8 parts of ferrous sulfate, 0.3-0.5 part of nitrogen-fixing bacteria, 2-4 parts of modified nanocarbon, 1-3 parts of fructus cnidii, 5-7 parts of pomegranate tree roots and 9-11 parts of willow leaves. The feathers and the like are hydrolyzed by acid to form amino acid, secondary and trace elements are chelated, carboxymethyl cellulose increases a chelation structure of the secondary and trace elements so as to facilitate effective utilization of the secondary and trace elements, and invalid release of the secondary and trace elements is reduced. The polymorphic nitrogenous fertilizer is suitable for crops of wheat, rice, corn, soybean, rape and the like, can urge the wheat and the rice to turn green rapidly, be much in shooting and longing resistant and enhance chill-proof, drought-resistant and disease and insect resistant capacity, and enables cotton and linen crops to enhance tension and strength of fiber and improve output and quality remarkably.

The preferred embodiment is directed to a method and apparatus of a bluetooth that is enabled in a jewelry device for use on bluetooth headset earpieces. The preferred embodiment can be provided in the shape of almost any objects. Envisioned objects include pearls, crystals, feathers, and diamonds, among similar items. The preferred embodiment increases consumer purchase appeal to meet a need of a wearable technology jewelry and bluetooth. The accessories that can be applied and removed from the present preferred embodiment can be done without the use of additional tools.

This present invention provides a process for keratin hydrolysis by means of microbiological and/or enzymatic processes. In particular, the keratin is derived from feathers of animals, such as chicken and are submitted to hydrolysis by a strain of Bacillus sp. The hydrolysates have molecular weight lower than 500 Da, which makes them ideal for cosmetic applications, particularly for applications in compositions for treatment of hair fiber re-building.

The present invention discloses a high nutrition health chicken feed and a preparation method thereof. Raw materials comprise 30-40 parts of corn flour, 15-25 parts of soybean meal powder, 12-13 parts of dry maggot powder, 9-12 parts of fish meal, 4-6 parts of bone meal, 4-5 parts of brewer's yeast powder, 3-4 parts of seaweed powder, 3-5 parts of shrimp shell, 2-4 parts of sunflower leaves, 3-5 parts of dehydrated carrot, 1-2 parts of dehydrated marigold, 0.2-0.3 part of gravy salt, and a proper amount of an additive and a phagostimulant. The health chicken fed with the high nutrition health chicken feed has characteristics of strong immunity, fast production, high feed conversion rate, robust shape, bright color feathers, fresh meat, and no raw meat odor.

The invention relates to a miniature flapping wing air vehicle with wings capable of performing active deformation and with multiple freedom degrees, and belongs to miniature bionic air vehicles. A transmission device fixing frame, an electronic control module and an empennage are fixed on an airframe body, a direct-current motor is mounted on the transmission device fixing frame, a regulating steering fan is fixed on a vertical tail of the empennage, a flapping wing torsional pendulum mechanism is fixed on the transmission device fixing frame, the end part of the flapping wing torsional pendulum mechanism is fixedly connected with flapping wing flexible main wings, a group of pre-bent elastic wing feather frameworks are fixed to the rear edge ends of the flapping wing flexible main wings, and wing feather piezoelectric thin films of solar lamellas are stuck to the upper surfaces of the pre-bent elastic wing feather frameworks. The miniature flapping wing air vehicle disclosed by the invention has the advantages that torsion actions are realized through composite motions adopting an eccentric ball structure and a crank and rocker mechanism, the size of a torsion angle can be correspondingly changed along with different positions of the miniature flapping wing air vehicle in the flight process, the miniature flapping wing air vehicle has high smoothness, the flight is more stable, and the practicality is high.

The invention relates to a method for identifying chicken sex through shank color and feather speed, which makes use of the two sex-linked characters of deep shank color and light color, fast feather speed and slow feather speed. It makes the cock with deep shank color and slow feather speed mate with hen with light shank color, and the chick of next generation with deep shank color is hen. The percent of accuracy is 100%. It takes the hen with deep shank color and slow feather speed as female parent, and makes it mate with male parent with deep shank color and fast feather speed. The chickens of next generation are all with deep shank color, but the male chick is with slow feather speed and female chick is with fast feather speed. The percent of accuracy is 98%. The invention mainly solves the problems of identifying chick sex. Compared with traditional anal-turning method, the invention is characterized by simple process, fast speed, high accuracy, and harmless to chick. It can identify sex both for parent and commercial generation.

The invention discloses a password management system. The password management system comprises a fingerprint acquisition module, a fingerprint verification module, a voice acquisition module, a voice verification and identification module, a storage module, a safety module, a communication module, a control module, a housing and a power source, wherein the fingerprint verification module and the voice verification and identification module respectively make comparisons between the fingerprint feathers and the voice feathers of users and fingerprint templates and voice templates which are stored in advance so as to verify user identities, and match and identify voice contents; the storage module is used for storing the account password information of the users, the fingerprint templates, the voice templates and a voice bank; the safety module is used for encrypting or decrypting the account password information of the users stored by the storage module; and the control module controls the safety module to decrypt and output the account password information of the users when verification of the user identities succeed. The fingerprint and voice verification identification technology and the encryption and decryption technology are adopted so that the safety and security of the account password information of the users and electronic devices are improved.

The invention discloses a method for breeding novel high-efficiency superior yellow-feathered broilers. The method comprises the following breeding steps: a Chinese local variety strain with high growing speed, yellow feather, neat and uniform body and appearance and even body weight is selected as a terminal male parent of the broilers; an individual with yellow feather, precocity property, high egg-laying rate and high uniformity is selected to be taken as a first female parent of the broilers; a strain with yellow feather, grain-saving property, short stature genes, laying rate of 90% during peak period and neat and uniform body and appearance is selected as a first male parent of the broilers; the first male parent cock and the first female parent hen are hybridized to form a second female parent of the novel broilers; the second female parent has yellow feather, can save grain by 25% when compared with common high-quality cocks and hens, and has average egg-laying rate above 10% higher than that of common high-quality hens; and the terminal male cock and the second female hen are hybridized, so as to obtain the commercial high-efficiency superior yellow-feathered broilers.

The invention discloses an integrated learning method for recognizing ECM (extracellular matrix) protein. According to the method, data set building: a training sample set and an independent test sample set of an ECM protein sequence are built; the protein sequence in the training sample set is mapped into a numeric feature vector; a relatively effective feather subset is selected by an information gain ratio-incremental feature selection method, an integrated classifier model is built by an integrated learning method, and the problem of data set unbalance is solved; the independent test sample set is mapped into a numeric feature vector, the category of the test sample is obtained by a majority voting method on the basis of a predication result of the integrated learning method, and the performance of a prediction system is finally evaluated by utilizing the predication result of the test sample. The invention discloses a network server system for recognizing the ECM protein. Users do not need to understand the concrete executing process of ECM protein recognition, and the prediction result can be obtained only through inputting the protein sequence to be predicted.

The invention discloses a method for breeding blue-lower-leg spotted-brown-feather laying hens with high egg yields. The method comprises the following steps of: artificially inseminating and mating a large quantity of Huainan spotted-brown cocks serving as male parents and Loman laying hens serving as female parents, collecting hatching eggs and hatching an F1 generation; identifying cocks and hens according to the colors of feathers and lower legs, eliminating white-feather yellow-lower-leg chicken which are cocks, reserving spotted-brown-feather blue-lower-leg chicken which are hens for serving as breeding hens, and performing back crossing by taking Huainan spotted-brown cocks as male parents to produce an F2 spotted-brown-feather generation; crossly mating and fixing the F2 generation and performing family breeding to produce an F3 generation; and performing gradual pure breeding on the F3 generation and later generations and obtaining the blue-lower-leg spotted-brown-feather laying hens with high egg yields according to egg yield, protein, lower leg color, feather color and bodily form, wherein the feathers are spotted-brown feathers; and the bodily form refers to delicate and pretty bodily form, blue lower leg and blue beak. According to the method, an appropriate high-egg-yield gene is introduced into a local chicken breed, and the proteins and macroscopic features of the local chicken breed are kept simultaneously.