58results about How to "Address sensitive issues" patented technology

The invention discloses an image classification method based on vector standardization and knowledge distillation, and the method comprises the following steps: (1), constructing and training a teacher model which employs a deep convolutional neural network; (2) constructing a student model smaller than the teacher model, wherein the student model also adopts a deep convolutional neural network; (3) training the student model by using a distillation loss function, and standardizing probability coding vectors output by the student model and the teacher model in the training process; and (4) inputting a to-be-classified image into the trained student model, and carrying out classification prediction. By utilizing the method, the performance of the student network can be improved and the image classification precision can be improved under the condition of not introducing extra parameters and calculation overhead.

The invention discloses a power factor correction converter with a wide load range. When the converter works in a CCM mode in a full load way, traditional average current control is used as a control strategy; and when the converter works in MCM and DCM modes in a light load way, improved average current control is used as the control strategy. Inductive current sampling correction is increased so that the current obtained by sampling equals to an average value, the feedforward value of duty ratios suitable for CCM and DCM modes undergoes mode discrimination and is then added to a duty ratio calculated by a current loop to obtain a final duty ratio which is used to control a switch tube, and power factor correction is realized. The power factor correction converter with the wide load range overcomes the problems that a traditional PFC converter needs to change a hardware circuit and a control algorithm when working in the light load way, average current control is combined with duty ratio feedwarding to solve the problem that prediction current control is sensitive to circuit parameters, more stable control is easy to realize, and a DCM algorithm based on average current is low in change amount and easy to realize.

The invention discloses a high-fidelity image reconstruction method and system, computer equipment and a storage medium. The method comprises the steps of reading an SIM image; generating or reading ameasurement PSF; estimating structured light stripe parameters; and reconstructing a high-fidelity SIM super-resolution image by using a spectrum optimization method. The system comprises an image acquisition module, a parameter estimation module (PSF generation module) and an image reconstruction module. Computer equipment and a storage medium can realize the process of the method by executing acomputer program. According to the method, the problem of artifacts of the SIM super-resolution image can be effectively solved, high-fidelity reconstruction of the SIM super-resolution image is realized, and the axial layer cutting capability of the 2D-SIM technology can be greatly improved, so that the 2D-SIM technology obtains the layer cutting capability comparable to that of the 3D-SIM technology, and the application scene of the 2D-SIM technology is effectively expanded. In addition, a theoretical generated PSF is used for replacing a complex PSF measurement process, and a high-fidelitySR-SIM super-resolution image can still be reconstructed. The method is suitable for almost all data processing of the SIM system based on the structured light illumination technology principle.

The invention discloses a foreground detection method based on a background model and frame difference, relates to image processing and particularly relates to the foreground detection field. For a problem that a background is liable to be taken as a foreground to form a large shadow or a large spot existing in a foreground detection method based on background modeling during light change in the prior art, a frame difference method is utilized for insensitivity of light to propose the foreground detection method based on the background model and frame difference. According to the foreground detection method based on the background model and frame difference, statistics of background pixels is carried out through utilizing background modeling, a real-time background pixel model is formed in combination with inter-frame difference, the method mainly comprises steps of background initialization and background model update. An inter-frame difference multi-neighborhood pixel discrimination method is merged into update of the background model, and a light insensitivity problem existing in the background modeling method in the prior art is solved.

The invention belongs to the technical field of environmental protection, and particularly relates to a vegetation identification method and application. Due to the fact that mature and young palm trees and other vegetations are difficult to distinguish accurately by using optical and SAR data, and an existing classification algorithm has strong dependence on values of input parameters when monitoring and recognizing the vegetations. The vegetation identification method is applied to identification of a palm plantation, and comprises the following steps: fusing a first satellite optical remote sensing image and a second satellite synthetic aperture radar image to obtain fused image data; extracting an information feature combination from the fused data image; calculating weight values of the features, and selecting an optimal subset as a model training set; optimizing a random forest algorithm to obtain an improved random forest algorithm, and training a vegetation identification and classification model by adopting the improved random forest algorithm and the model training set; and verifying the vegetation identification classification model to obtain an identification result. The identification efficiency can be remarkably improved.

The invention provides a reheat-crack resistant W-containing high-strength low-alloy heat-resistant steel, which comprises, by mass, 0.04-0.11% of C, lower than 0.50% of Si, 0.10-0.60% of Mn, lower than 0.03% of P, lower than 0.01% of S, lower than 0.40% of Ni, 1.90-2.60% of Cr, 0.20-0.30% of V, 0.02-0.08% of Nb, 0.05-0.30% of Mo, 1.45-1.75% of W, 0.01-0.06% of Ti, 0.001-0.012% of B, lower than 0.03% of Al, lower than 0.01% of N, and the balance being Fe and inevitable impurity. The heat-resistant steel has excellent reheat crack resistance property and can be applied to high-temperature members of supercritical (ultra-supercritical) thermal power generating units.

The invention provides a user load electricity stealing model mining system and method based on complex user behavior analysis. The system comprises a data processor, an electricity larceny suspect user discovering device, a user load curve generator and an electricity larceny user diagnosing device, the data processor is connected with the electricity larceny suspect user discovering device, theelectricity larceny suspect user discovering device is connected with the user load curve generator, and the user load curve generator is connected with the electricity larceny user diagnosing device.The DBSCAN density clustering algorithm is used for searching abnormal electricity users, then the fuzzy C-means algorithm is applied to generating a user load curve, and finally electricity stealingusers are detected through curve similarity comparison. Complex user load data are fully utilized to analyze user electricity consumption behaviors, and electricity stealing users can be well detected.

The invention discloses a network public opinion analysis system based on a crawler and text clustering analysis. Relevant technologies, including web crawler and text processing, point of interest data mining and the like, are adopted, a vertical search thought is applied, collected webpage information is subjected to data preprocessing, and webpage information is subjected to personalized search on the basis of a user interest model; then, retrieved webpage text data is classified and clustered and is subjected to content extraction and analysis, finally, a point of interest data statistical report is formed, and information is displayed and pushed to users through the software interface of a personalized search system. A total thought is that the system is user-centered, and a modular design thought is adopted to construct the user interest model; and on the basis, relevant technologies, including webpage text data mining, database retrieval and the like, are deeply fused to establish the personalized search system based on topical crawlers and text processing.

The invention provides a self-adaptive super-pixel FCM method for eyeground lint spot image segmentation. The method comprises the following steps: S10, artificially cutting a lesion area of a lint spot lesion image in equal proportion; s20, performing super-pixel processing on the cotton wool patch lesion image, and taking a super-pixel point as a self-adaptive FCM sample; s30, optimizing a self-adaptive FCM clustering center by using a derivative multi-population genetic algorithm; s40, calculating a per-pixel loss value and a callback parameter after clustering; and S50, forming a genetic FCM clustering model for eye fundus lint spot image segmentation, inputting an eye fundus image, and outputting a segmented eye fundus lint spot lesion area image. According to the self-adaptive super-pixel FCM method for eyeground lint spot image segmentation, the operation time is greatly shortened, the image segmentation precision is improved, and an important image feature basis is provided for clinical diagnosis and treatment of related diabetic retina lint spot lesion diseases.

The invention provides a method for optimizing an artificial fish school in a clustering analysis mode, and relates to the method for optimizing the artificial fish school. The method includes a first step of setting an original value of an artificial fish parameter, and calculating the food concentration of a current position by means of an objective function, a second step of executing a food searching module, a tailgating module, a clustering module and the like on each artificial fish according to an execution condition of a fish school module and advancing principles of artificial fishes, a third step of making the state of each artificial fish represent a decision variable and evaluating the optimizing degree of the fishes by means of calculation of the objective function, and a fourth step of choosing an input parameter of a K-center point according to bulletin board information and the position of the fish school and ultimately obtaining clear cluster division. According to the method, an artificial fish school algorithm is improved, optimization of data aggregation is carried out, needed time is reduced, and decision precision is high.

The invention discloses a bacteriostatic mesoporous silicon dioxide compound as well as a preparation method and application thereof, and belongs to the technical field of compounds. The mesoporous silicon dioxide compound comprises a carrier and a load, wherein the carrier comprises aminated mesoporous silicon dioxide modified by a rosin derivative; and the load comprises essential oil. The preparation method comprises the following steps of modifying the aminated mesoporous silicon dioxide by the rosin derivative in a physical or chemical manner to prepare the carrier having antibacterial properties, and then performing loading with any one of tea tree essential oil, peppermint essential oil or eugenol. The prepared mesoporous silicon dioxide compound shows excellent antibacterial properties and has relatively long antibacterial time.

The invention belongs to the technical field of beauty products and discloses mask taking cape jasmine flower extract as a main raw material and a preparation method. According to the preparation method, substances including the cape jasmine flower extract, glycerol, polyglycerol-10, niacinamide, hydroxyethyl cellulose, allantoin, sodium hyaluronate, sodium polyacrylate, PPG (Polypropylene Glycol)-5-laureth-5, simmondsia chinensis seed oil, caprylic/capric triglyceride, glyceryl acrylate/acrylicate copolymer, propylene glycol, PVM/AM copolymer, hydrolyzed oat protein, herba portulacae extract,acetyl hexapeptide-8, caprylyl glycol, panthenol, fargesia dracocephala leaf /stem extract, lotus flower extract, nymphaea alba flower extract, arginine ferulate, 1-methylhydantoin-2-imide, acrylic/C10 to C30 alcohol acrylate cross-linked polymer potassium salt, DMDM hydantoin and the like are weighed. According to the mask disclosed by the invention, the generation of melanin can be radically inhibited and anti-oxidization can be realized; the synthesis of collagen is facilitated.

The invention discloses a colossoma brachypomum culture method and a culture net cage, and relates to the field of aquaculture. According to the technical scheme, the colossoma brachypomum culture method is characterized in that the culture method for removing moss in the net cage is set according to the growth characteristics of colossoma brachypomum, and the culture method comprises the steps of a, breeding condition setting, b, net cage arrangement, c, fingerling putting, d, feed feeding, e, daily management and f, cleaning work; the invention discloses further comprises the clean culture net cage manufactured according to the culture method of the colossoma brachypomum culture method. The method and the culture net cage have the technical effects that the moss on the surface of the net cage is effectively removed, the permeability of the net cage is kept, normal exchange of water inside and outside the culture net cage is realized, the oxygen content required by the colossoma brachypomum in the water is maintained, the survival rate of the colossoma brachypomum is increased, the colossoma brachypomum grows quickly, and the economic benefit is improved.

The invention belongs to the technical field of mechanical agricultural planting, and discloses a mechanical mulching-film cultivation method for sorghum. The mechanical mulching-film cultivation method for the sorghum comprises the specific steps that a mass of land is selected; land preparation before seeding is conducted, wherein the variety and quality of sorghum seeds are selected; the selected sorghum seeds are treated and sowed, and fertilization and chemical weeding are conducted; intertillage, hilling and fertilization are conducted by using an intertillage, hilling and fertilization integrated machine in the elongation stage; intertillage is conducted in wide lines through wide-narrow line planting; irrigation and drainage are conducted; pest and disease control is conducted; after grains completely ripen and leaves die back, when the water content of the grains is reduced to about 20%, mechanical harvesting is conducted by using a sorghum grain harvesting machine; when there is no special sorghum grain harvesting machine, modified harvesting can be conducted by using a wheat harvesting machine or a soybean harvesting machine; by using a mulching film removal machine and a straw returning machine, the sorghum land obtained after mechanical harvesting is subjected to mulching film removal, straw returning, and stubble cleaning and film residue cleaning are conducted.

The invention belongs to the technical field of protein modification, and particularly discloses a casein-soybean polysaccharide crosslinked product and a preparation method and application thereof. Transglutaminase catalyzed soybean polysaccharide and casein are used to be in Maillard reaction to prepare the casein-soybean polysaccharide crosslinked product. Soybean polysaccharide has high physiological activity, and the crosslinked product can be quickly formed in a mild condition through Maillard reaction by adding transglutaminase, so that casein is enabled to carry soybean polysaccharide,amphiphilicity of casein is improved, and physical stability of an oil-in-water emulsion of casein is improved.

The invention relates to a fast automatic density clustering-based detection method for a variable-scale infrared small target and belongs to the image analysis and image understanding field. According to the method, an SURF (speeded-up robust feature) operator is utilized to realize feature extraction of the variable-scale infrared small target; the problem that features are sensitive to the environment is solved; according to a problem domain, a fast automatic density clustering algorithm directly completes trajectory segmentation and extraction from a space domain, and therefore, the problem of exponential complexity caused by data fusion in original sequence detection can be solved; the problems of over-segmentation and under-segmentation in a clustering process can be solved, and the integrity and independence of trajectory extraction and the automatic selection of a clustering center are ensured; In later-stage trajectory extraction, a backtracking algorithm is used to find an optimal solution, the smooth invariant constraint of trajectories is fused into the design of a pruning function, so that unrelated clutter branches can be cut off quickly, and therefore, the speed of solution search can be increased; and the robust feature detection operator and the backtracking strategy are used in combination, and therefore, the detection problem of the variable-scale infrared small target can be solved, and the real-time performance and robustness of the algorithm can be improved.

The invention discloses a polyacyl urea elastomer and a preparation method and applications thereof. The preparation method of the polyacyl urea elastomer includes the steps of uniformly mixing polycarbodiimide, a polymer containing at least two acidic functional groups, and optional chain extenders, plasticizers, catalysts, and solvents, and then conducting curing to obtain the polyacyl urea elastomer. The polyacyl urea elastomer has the advantages of effectively solving the sensitivity problem of water vapor in the preparation, application and construction process of polyurethane materials,and also solving the hazards of free isocyanate with the free isocyanate not contained in the polyacyl urea elastomer.

The invention provides a body lotion for preventing dermatitis and relates to the field of skin-care products. The body lotion is prepared from the following raw materials in parts by weight: 5 to 8 parts of a honeysuckle flower extracting solution, 4 to 6 parts of a white poria cocos extracting solution, 3 to 9 parts of a rhizoma bletillae-radix et rhizoma salviae miltiorrhizae extracting solution, 0.5 to 1.8 parts of glycerol stearate, 0.8 to 1.5 parts of butyrospermum parkii butter, 4 to 7.5 parts of olive oil, 0.1 to 0.4 part of carbomer and 20 to 40 parts of water. According to the body lotion provided by the invention, honeysuckle flowers have the effects of clearing away heat and detoxifying and have an inhibition effect on various in-vitro bacteria; rhizoma bletillae can be used for inhibiting gram-positive bacteria and especially has a remarkable inhibition effect on human tubercle bacillus and the skin sensitivity problem can also be solved; radix et rhizoma salviae miltiorrhizae can be used for nourishing skin; the rhizoma bletillae-radix et rhizoma salviae miltiorrhizae and the honeysuckle flowers are matched to use, so that the problems of skin redness and swelling, sensitivity and pruritus and the like can be effectively prevented. The body lotion provided by the invention can form one layer of protection film on the skin and can be used for effectively preventingthe skin sensitivity problems including the dermatitis and the like.

The invention discloses a gas water heating device, and relates to the field of water heating devices. The gas water heating device comprises a combustor, a combustion chamber, a lower heat exchanger, a lower fume collection chamber, an upper heat exchanger and an upper fume collection chamber, which are sequentially mounted from bottom to top. The upper heat exchanger is horizontally arranged and adopts a tubular structure. Flanges are respectively arranged at two ends of the upper heat exchanger. A seal ring and a seal cover are arranged on the outer side of each flange. A water inlet pipe and a gas exhaust pipe, which extend outwards, are arranged at the top of the upper heat exchanger separately. A communicating pipe extending outwards is arranged at the bottom of the upper heat exchanger. A plurality of heat exchange pipes are arranged in the upper heat exchanger. The lower heat exchanger adopts a structure formed after the upper heat exchanger is inverted. Compared with the prior art, the gas water heating device has the advantages that the problem that water tube heat exchange is sensitive to scale is solved, the problem of bearing pressure by a fire tube type heat exchange water liner is solved, and besides, since spiral water flow generated by the heat exchange pipes increases the water flow speed, the scale precipitation is reduced, and the heat exchange efficiency is improved.

The invention discloses a method for preparing a facial mask by using selenium-enriched rice, and relates to the field of skin care. The method for preparing the facial mask by using the selenium-enriched rice comprises the following steps: (1) grinding the selenium-enriched rice, liquorice root, pearl and peach flowers into powder separately, and taking cucumbers and juicing; (2) mixing the selenium-enriched rice powder and spring water according to the parts by weight, and heating at the temperature of 100 to 110 DEG C for 10 to 20 minutes to obtain rice paste liquid; (3) mixing the liquorice root powder, the pearl powder and the peach flower powder uniformly according to the parts by weight, adding the rice paste liquid, heating and stirring at the temperature of 50 to 60 DEG C for 5 to 8 minutes to obtain first-time mixed rice paste liquid; (4) adding the cucumber juice into the first-time mixed rice paste liquid according to the weight proportion, and stirring at 40 to 50 DEG C for 3 to 5 minutes to obtain second-time mixed rice paste liquid; and (5) cooling and preserving. The facial mask prepared by the method for preparing the facial mask by using the selenium-enriched rice is low in cost and does not have side effect.