139results about How to "Make up for the lack" patented technology

The invention relates to a verification method for silt coast wave-induced current numerical simulation, and belongs to the technical field of offshore water dynamic simulation and verification. The verification method for silt coast wave-induced current numerical simulation comprises the following steps of respectively building a Deflt3D wave-induced current calculation model and an ROMS wave-induced current calculation model; respectively calibrating and verifying the applicability of the Deflt3D wave-induced current calculation model and the applicability of the ROMS wave-induced current calculation model; comparing and analyzing commonness and differences of simulations results of the Deflt3D wave-induced current calculation model and the ROMS wave-induced current calculation model, and utilizing a comparison method for verifying calculated results of the models. The verification method has the advantages that on the current condition that silt coast wave-induced current lacks measured data and cannot verify the models, the model comparison verification method is provided, the method is reasonable and feasible, and the defect of lack of measured data of the silt coast wave-induced current can be overcome.

The invention discloses a high-strength concrete and a preparation method thereof. The high-strength concrete is prepared from the following components: mixed sand, cement, coal gangue powder, mineral powder, gravels, water and a compound admixture, wherein the mixed sand is iron tailing sand and natural medium sand, the weight ratio of the iron tailing sand replacing the natural medium sand, namely the percentage of the iron tailing sand taking up the total weight of the mixed sand is 65%-70%, and the fineness modulus of the iron tailing sand is 1.9-2.6. The preparation method comprises the following steps: selecting the fineness modulus according to the analysis on the chemical component and particle size of the iron tailing sand; and preparing the iron tailing sand and the natural medium sand, cement, coal gangue powder, mineral powder, gravels, water and the compound admixture according to the construction mix proportion. By using the concrete, the performance of a concrete mixture can be improved, especially the cohesiveness of the concrete is good, the phenomena of bleeding, dissociation and the like can be reduced, a great amount of iron tailing sand mixed also has no impact on the strength of the concrete and plays a role of comprehensively utilizing iron tailing resources, the environment is protected, and the production cost is lowered.

The invention provides a message processing method and device, equipment and a medium. The method is applied to network equipment, the network equipment is configured with a virtual network adapter driver, the network equipment also comprises a user mode protocol stack and a kernel protocol stack, the method comprises the following steps: creating a virtual network adapter in a system kernel basedon the virtual network adapter driver, sending the virtual network adapter information to the user protocol stack; when a message is received, filtering the message based on the user mode protocol stack; if the message is a control message, by the user protocol stack, forwarding the control message to the kernel protocol stack for processing through the virtual network adapter based on the virtual network adapter information; and if the message is a service message, by the user protocol stack, processing the service message. By applying the method disclosed by the invention, the network adapter can process the service message at high performance in the user mode protocol stack, and the network adapter can support the control plane protocol through the linux kernel protocol stack.

The invention discloses a method for identifying traffic information in social media. The method comprises the following steps of: 1, preprocessing social media data; 2, classifying the social media data; and 3, carrying out named entity identification on the social media data. According to the method, machine learning technologies such as a polynomial model, a conditional random field algorithm and the like are utilized to carry out classification and named entity identification on social media information, so as to extract information related to traffic from the social media and then extractlocations of incidents in the information. The method is capable of timely providing traffic public opinions and information such as situations, influence ranges, origins and the like of emergent traffic incidents for the traffic management department. In regions, the traffic information acquisition and construction of which are relatively weak, the method is capable of providing information supplementation for the traffic management.

The invention discloses a traditional Chinese medicinal material recognition method and system based on a double-scale convolutional neural network. The method comprises the following steps: firstly,carrying out dual-scale image acquisition through a specially designed image acquisition device, sending a training image into a convolutional neural network for training, and carrying out multi-layerconvolutional pooling feature extraction and selection, and training to obtain a convolutional neural network model with relatively high identification precision; and sending the to-be-detected imageinto the trained convolutional neural network model for feature extraction, classifying the traditional Chinese medicinal materials based on the extracted features, and outputting a classification recognition result. The method is beneficial to improving the medicinal material recognition capability of ordinary people, and helps experts in the medicinal material field to identify medicinal materials more accurately and quickly.

The invention discloses a preparation method for preparing the lithium-rich composite cathode material of a lithium ion super capacitor. The method comprises the steps of dissolving a soluble nickel manganese cobalt salt in the deionized water in a certain proportion to obtain a mixed solution; dispersing the carbon material high in specific surface area in the above mixed solution; adopting the sodium hydroxide solution and the ammonia water as a precipitating agent and a complexing agent respectively; preparing a mixed suspending liquid of the nickel manganese cobalt salt according to the precipitation method and loading the mixed suspending liquid on the carbon surface and inside holes; filtering and washing with water to obtain an activated carbon-loaded precursor; mixing the precursor with a lithium source, and conducting the solid-phase sintering operation in a tube furnace in a specific atmosphere to obtain the target material. According to the technical scheme of the invention, under the dimensional limitations of porous carbon particles, the lithium-rich material is prevented from agglomerating and the crystal is prevented from growing excessively during the sintering process. Therefore, the material rate capability is improved. Meanwhile, during the preparation process, a lithium source of a super stoichiometric ratio is added, and the part of the lithium source deposits on the surface of the porous carbon material. Therefore, the shortage of the lithium source, caused by an SEI film and the competitive adsorption phenomenon during the first charging process, is compensated.

The invention provides a Cocone curved surface reconstruction method for maintaining object surface sample point edge characteristics. The method is characterized in that edge characteristic reconstruction is optimized by correcting a normal estimation result and adjusting the Cocone angle threshold value of edge characteristic sample points. Gain optimization is performed on a localized curved surface sample used by PCA normal estimation so that the normal estimation result is corrected. An adjusting formula for the Cocone angle threshold value of the edge characteristic sample points is established so that the size of the angle threshold value of the edge characteristic sample points is adaptive to sample point distribution of an edge characteristic region. In the angle threshold value adjusting process, identification of the edge characteristic sample points is realized on the basis of Gauss clustering of the localized curved surface sample of the target sample points, and a cross-region long and narrow surface patch generated by adjustment of the angle threshold value of the edge sample points can be rapidly filtered on the basis of the predetermined scale threshold. Compared with methods in the prior art, defects of the reconstruction result of recesses and holes in the edge characteristic region can be substantially reduced.

The invention belongs to the field of medical technology, and discloses an atrial fibrillation patient information management and service system based on Internet and a method. The atrial fibrillationpatient information management and service system comprises the components of an application layer, an official account service management terminal and a database server. The application layer is thefirst layer and is used for supporting a PC computer terminal and mobile equipment. A patient and medical personnel enters a medical communication system through a Wechat official account platform. The system mainly performs data browsing, inquiring, recording of a small number of texts or image uploading in modes such as online H5 PAGE. The official account service management terminal is a second layer and is used for receiving a client request, performing exchange with a background server, generating information according to service logic and transmitting the information to the H5 page fordisplaying. The database server is a third layer and is used for organizing and storing data such as patient information, medicine information, treatment result information and knowledge database.

The invention discloses a method for precisely measuring an ultraviolet absorbent in a household product and a pretreatment system. The method comprises the following steps: placing a household coating product in an extraction tube of an extraction and purification integrated test tube, adding ethyl acetate for dispersion, extracting by using an ammoniation organic reagent, obtaining an extractingsolution by vortex, ultrasonic and centrifugation, purifying by using a purification column, concentrating by using a high-efficiency concentration and enrichment device, dissolving residues by usinga formic acid and methanol-acetonitrile mixed solution, carrying out vortex, filtering, collecting filtrate to obtain a solution to be measured, and detecting by using a liquid chromatography- tandemmass spectrometer. The method has simple and rapid pretreatment, solves the problem of inaccurate qualitative and quantitative determination of the ultraviolet absorbent of the household coating product by adopting a matrix matching method, is suitable for detecting the household coating product, and can also be used as a reference method for detecting the ultraviolet absorbent in other householdproducts. The invention also discloses a pretreatment system, which comprises an extraction and purification integrated test tube and an efficient concentration and enrichment device.

The invention discloses a hyperspectral image depth noise reduction method and system based on a two-stage learning framework, and belongs to the technical field of hyperspectral image noise reduction, and a three-dimensional depth universal model 3D-DUSSD for hyperspectral image noise reduction comprises the following steps: constructing a target function based on noise estimation and image noise reduction; constructing a conditional estimation sub-network (CENet) and a multi-scale cross fusion noise reduction sub-network based on a target function; training a conditional estimation sub-network (CENet) and a multi-scale cross fusion noise reduction sub-network by using an objective function; the trained conditional estimation sub-network (CENet) is utilized to deduce the noise level of the hyperspectral image, and then information is transmitted into the multi-scale cross fusion noise reduction sub-network to carry out the denoising of the hyperspectral image. By means of the method, non-i. I. D. Noise distribution can be predicted, and meanwhile deep noise reduction of the hyperspectral image is achieved.

The embodiment of the invention provides an intranet user abnormal behavior recognition method and device based on density clustering, computer equipment and a computer readable storage medium. The embodiment of the invention belongs to the technical field of safety monitoring. The method includes: obtaining user data of an intranet user, wherein the user data comprises a network access log and attendance data; according to the user data, describing behavior portraits of the intranet users by taking a preset time period as a time slice; obtaining a plurality of feature data sets of the time sequence; clustering the feature data set through a preset density clustering model; obtaining clustering results, judging whether outliers exist in a clustering result or not; if the outliers exist inthe clustering result, determining that the outliers exist. Compared with safety monitoring of daily behaviors of the intranet users through entity monitoring rules in the prior art, the method and device have the advantages that the recognition efficiency, accuracy and comprehensiveness of the abnormal behaviors of the intranet users can be improved, and risk behaviors of the intranet users in enterprises are avoided.

The present invention belongs to the field of luminescent materials, and discloses a manganese-doped aluminosilicate oxynitride luminescent film, a preparation method and organic electroluminescent devices thereof. The manganese-doped aluminosilicate oxynitride luminescent film comprises the following chemical components, by mass, 0.05-5% of Al2O3, 0.01-1.5% of MnO2, and the balance of Si3N4. According to the present invention, magnetron sputtering equipment is adopted to prepare the manganese-doped aluminosilicate oxynitride luminescent film, wherein the film does not contain noble metal rare earth and other elements, and has characteristics of simple preparation and low cost. In addition, in a luminescence spectrum of the film of the present invention, luminescence in a blue light region can be achieved, and the whole blue light wavelength range of 490-550 nm are covered, such that blue light material deficiency in LED display and lighting can be overcome.

The invention discloses an entity disambiguation method based on a neural network combined with knowledge description, and relates to the technical field of natural language processing. The method comprises the following steps: 1, modeling by using a referring context text and a candidate entity, and calculating the similarity between the referring context text and the candidate entity; 2, modeling by using text information described by candidate entity knowledge and referred context text; 3, extracting candidate entity knowledge description keywords; 4, establishing a local model of entity disambiguation; 5, establishing a global model of entity disambiguation; and 6, introducing a loss function, and training to find the target formula in the step 4. According to the short text entity disambiguation method, entity operation is carried out simultaneously from the candidate entities and the vectors of the context, the global model is used for entity disambiguation of the short text, and the optimized local model is combined, so that the problems that a global model corpus lacks and the local model lacks other entity information of the text are solved.

The invention discloses a video face recognition method combining deep Q learning and an attention model. The method comprises the five steps of video feature extraction, video time continuity information extraction, local face positioning, video optimal frame sequence sorting and video face recognition matching, and has the advantages that the video face recognition can be achieved, and the problem that the video face matching precision is insufficient is solved.

The invention belongs to the technical field of agricultural resource, and particularly relates to a production system and a production method of a carbon-based organic-inorganic compound fertilizer,wherein the production system comprises a pretreatment device, a carbonization furnace, an oil-gas separation system, an oil-water separation system, a fermentation system, a drying and crushing system, a mixing granulation system and a steam boiler system. According to the present invention, the oil-gas resources generated in the carbonization process are recovered and utilized, and the biochar produced by pyrolysis and the chemical fertilizer are combined to produce the carbon-based organic-inorganic compound fertilizer, such that the returning of the agriculture and forestry biomass straw to the soil is achieved, the organic matter of the soil is increased, the adsorption performance of biochar is utilized, and the slow release of chemical fertilizer nutrients is achieved so as to improve the utilization efficiency of chemical fertilizers.

The invention relates to the field of livestock and poultry feed and in particular relates to feed with a tea flavor special for cage broiler. The feed is prepared from the following raw materials in percent by weight: m35-45 parts of barley malt root, 8-10 parts of sweet potato leaf, 15-20 parts of rice sugar residues, 150-180 parts of corn, 35-40 parts of sorghum wheat middling, 45-50 parts of rye bran, 35-40 parts of mung bean straws, 2-3 parts of pig bone powder, 1-2 parts of calcium hydrophosphate, 4-5 parts of Swiss chard leaf, 1-2 parts of swine blood meal, 2-3 parts of fly maggot meal, 2-3 parts of black tea, 2-3 parts of green tea, 2-3 parts of tea flower, 2-3 parts of dried tea seed powder, 3-4 parts of perilla leaf, a proper amount of salt and 4-5 parts of phagostimulant. The broiler feed provided in the invention contains the black tea, green tea, tea flower and tea seeds, contains rich proteins, also contains multiple trace elements and biological active ingredients, the loss of nutrient elements in the traditional cage broiler feed is avoided, all the raw materials in the feed are pure natural green components, the fed broiler is delicate and delicious in meat, unique in flavor and high in edibleness.

The invention discloses a method for generating an automatic test case of a rail transit signal system. The method comprises the following steps of S1, performing case scene analysis; S2, extracting specific influence factors of the scene; S3, orderly combining the influence factors through a CT algorithm, and automatically generating test data covering all scenes and all function points and faultpoints; S4, automatically screening and eliminating the test data; S5, selecting a part of test data results for manual analysis to obtain a data set with labels, carrying out modeling analysis on the obtained data set by using an LSSVM algorithm to obtain an LSSVM model, judging and identifying an expected result of an unknown sample by utilizing the LSSVM model to obtain the expected result ofeach piece of sample data, and combining the expected result with the corresponding sample data to obtain a finished test case. According to the invention, automatic generation of the test cases is realized, and the test cases are completely covered without omission.

The invention discloses a packaging structure of a silicon carbide Vienna rectifier half-bridge module, and belongs to the technical field of power semiconductor devices. The packaging structure comprises a power unit and an insulating substrate. The power unit comprises a diode rectification upper bridge arm, a diode rectification lower bridge arm and a bidirectional switch bridge arm. The bidirectional switch bridge arm comprises a first silicon carbide MOSFET chip and a second silicon carbide MOSFET chip which share a common source and are connected in series. The surface copper layer of the insulating substrate comprises a positive electrode metal layer, a negative electrode metal layer, an input metal layer, an output metal layer, a bidirectional switch power common source electrode metal layer, a driving metal layer and a thermistor metal layer. The diode rectification upper bridge arm is located on the positive electrode metal layer, the diode rectification lower bridge arm andthe first silicon carbide MOSFET chip are located on the input metal layer, and the second silicon carbide MOSFET chip is located on the output metal layer. According to the present invention, the parasitic inductance in a current conversion loop is reduced, so that switching loss is reduced, and the packaging structure is more suitable for high-frequency application; and the power switch tube chip is driven by adopting Kelvin connection, so that the driving stability is enhanced.