57results about How to "Less research" patented technology

The invention discloses an automatic die exchanging system of a small pressing machine. The automatic die exchanging system comprises a die exchanging trolley, a built-in module, a die library module and an electric system. The die exchanging trolley is used for exchanging, moving and transferring dies, the built-in module is used for assisting to complete transfer of the dies between the die exchanging trolley and the small pressing machine, the die library module is used for storing the dies, and the electric system is used for controlling and monitoring die exchanging processes. The built-in module is arranged on the small pressing machine, the die exchanging trolley is movably arranged between the built-in module and the die library module, and the electric system is used for controlling and connecting the built-in module and the die exchanging trolley. By the automatic die exchanging system, modularization and automatic die exchanging which can be flexibly adjusted and matched according to differential demands are realized. Meanwhile, optional exchanges of multiple dies in one device and in-turn exchange function of on-line multiple devices are realized, exchanging efficiency can be improved, exchanging security can be enhanced, exchanging operation workers can be reduced, and automatic production needs can be met.

The invention discloses an unmanned pedestrian trajectory prediction method based on a convolutional neural network. The method comprises the steps of processing sample data, obtaining an input information sequence, constructing and optimizing the network, and testing and evaluating an optimal model. Real-time video collected by a visual sensor on an unmanned vehicle is segmented into images withframes as units to serve as sample data, target crowds about to pass through zebra stripes in the sample data are divided into three classes, and pedestrian position-proportion information sequence, the pedestrian skeleton information sequence and the motion sequence of the visual sensor,are obtained from samples;, ; the information sequence is input into a convolutional neural network for training to obtain a preliminary prediction model, and after testing and evaluation, finally a prediction track and an action category are output. According to the method, the convolutional neural network isadopted to predict the trajectory of the unmanned pedestrian, so that the probability of pedestrian collision in the road driving process of the unmanned vehicle can be effectively reduced.

The invention discloses a method and a system for recognizing a DC cable partial discharge signal pattern based on a compressive sensing theory. The method comprises the steps of acquiring training sample data A=[ A1, A2, ...Ac], wherein A belongs to R<m*n>; acquiring data y to be recognized, wherein y belongs to R<m>; constructing y=Ax, and solving x which is defined in the description, wherein x belongs to R<n>; constructing a residual error ri which is defined in the description; solving argmin(ri) to acquire a value which represents the category of a DC cable partial discharge signal pattern corresponding to the vector y to be recognized. The method disclosed by the invention can be used for recognizing the DC cable partial discharge signal pattern, and the category of the pattern corresponds to the category of a DC cable insulation defect. Effective recognition for the state of different insulation defects of a high-voltage DC cable, such as a crosslinked polyethylene cable, can be realized according to the method. Correspondingly, the invention further discloses a system for recognizing the DC cable partial discharge signal pattern based on the compressive sensing theory. The method and the system disclosed by the invention effectively fill up the defect that less researched is performed on DC cable partial discharge defect recognition; data driving is realized based on compressive sensing, and waste of effective information is reduced; and solving performed according to a Homotopy method enables the calculation speed to be high and the recognition rate to be high.

The invention discloses a convolutional neural network-based visible light image weather recognition method. According to the method, a convolutional neural network and visible light image data are combined; and through a method of constructing a training set after extracting a region of interest, the sensitivity, to image superficial layer information, of the network is reduced, the judgement toabstract weather information is enhanced, the training precision is improved, so that a more correct visible light weather recognition model is obtained and the recognition precision is improved.

The invention relates to a solar-altitude-based self-adapting high orbit area-array camera in orbit geometrical calibration method. The solar-altitude-based self-adapting high orbit area-array camera in orbit geometrical calibration method includes the steps: 1) selecting a control point in a control point database, performing automatic measuring of the control point on an image to be calibrated, and acquiring the measuring information of the control point, wherein selection of control point satisfies the condition that at least one control point exists in the 10*10 grid range; 2) constructing an in orbit calibration geometrical model, based on a two-dimensional cubic surface detector directional angle, of a high orbit area-array camera; 3) utilizing the control point information automatically measured in the step 1, utilizing a step-by-step and grading iterative solution strategy to solve the in orbit calibration geometrical model parameter of the two-dimensional cubic surface detector directional angle in the step 2; 4) constructing a solar altitude self-adapting error compensation model and performing parametric solution in different latitude and longitude areas, at different imaging times and at different solar altitudes; and 5) taking the in orbit calibration geometrical model parameter and the solar altitude self-adapting error compensation model parameter as the final strict imaging model construction parameters to reproduce the calibration image and calibrate the internal and external precision of the reproduced image.

Pre-formed polymer particles are chemically modified by free radical-initiated surface graft modification. The resulting resin is specifically adapted to provide enhanced chromatographic performance throughout chromatographic separations.

The invention provides a hierarchical alpha-Fe2O3/TiO2 hollow sphere difunctional photocatalyst. The alpha-Fe2O3/TiO2 hollow sphere difunctional photocatalyst with a hierarchical structure is prepared by virtue of hydrothermal reaction from FeOOH as a substrate, and butyl titanate, titanium tetrachloride, titanyl sulfate or isopropyl titanate as a titanium source; next, the alpha-Fe2O3/TiO2 hollow sphere difunctional photocatalyst is dispersed in water containing heavy metal ions and adsorption and light-catalyzed reaction are performed under the irradiation of simulated sunlight. The invention also provides new application of the hierarchical alpha-Fe2O3/TiO2 hollow sphere difunctional photocatalyst in treating of heavy metal ion pollution in the water.

The invention discloses a preparation method of a corrosion resistant coating layer on a surface of a magnesium alloy component. The preparation method is characterized by comprising the following steps: surface pretreatment: a groove is carved in the surface of the magnesium alloy component; then, the sand blasting is performed; and then, acetone is used for cleaning; preparation of a coating layer: an Al-Zn alloy coating layer is prepared on the surface of the magnesium alloy component by cold spraying; and polyvinyl chloride hole sealing: polyvinyl chloride is flatly spread on the upper surface of the coating layer. The cold spraying process is adopted to completely retain a nanometer structure of nanometer Al-Zn alloy powder, so that excellent performances are remained. The hole sealing treatment is performed for the prepared Al-Zn alloy coating layer by polyvinyl chloride, so that the protection effect of the prepared composite coating layer on the basal body is further enhanced, and the corrosion resistance is further improved.

The invention discloses a method for positioning a single-phase grounding fault section of a low-current grounding system. The method belongs to the technical field of power supply and distribution line fault positioning, and specifically comprises the following steps of: establishing a distribution line space electric field calculation model, deriving a mathematical relationship between an offline electric field and a line voltage, and determining an optimal measurement position of each measurement point along a line, so that a vertical electric field at the optimal measurement point is in direct proportion to line zero-sequence voltage; acquiring a fault electric field of each measurement point along the line, preprocessing the electric field data, intercepting fault transient data, andremoving singular values from the fault transient data to form a new time domain electric field waveform; and calculating the time domain electric field waveform similarity of each adjacent measurement point by adopting a dynamic time warping (DTW) algorithm, and realizing fault section positioning by determining the measurement point with the lowest electric field waveform similarity. The methodis simple, reliable and high in accuracy rate.

The invention provides a method for evaluating the environmental risk of petroleum pollutants in a fishing environment and belongs to the technical field of environmental risk evaluation. The method comprises (1) establishing a factor set, (2) establishing an evaluation set, and (3) substituting original data into three-major indicator risk index mathematical model, obtaining a final risk index and judging a risk grade by use of a judgment formula. The invention provides a final risk prediction method for evaluating the environmental risk of the petroleum pollutants in the marine and fishing environments. The final risk index can be calculated by inputting the monitoring data of petroleum pollutants in three mediums, namely living organisms, water and sediment. Due to good degree of fitting of a prediction model established by use of a nonlinear regression model, the deviation between a predicted value and the final risk index obtained from the practical monitoring data is small and the average residual of the model does not exceed 4.

The invention discloses a composite solidifying agent and a gas field three-sulfonated system waste drilling mud solidifying optimization method. The optimization method mainly comprises the steps: fully stirring the waste drilling mud containing a three-sulfonated system, and adding 5-8 g/L of ferric chloride powder to break gel and destabilize; then adding a composite solidifying agent composedof 10-15% of fly ash, 1-2% of quicklime and 8-12% of Portland cement by the mass percentage; and finally die-filling and drying, and completing mud solidification. The selected composite solidifying agent is cheap in composition and simple in process and can obviously solidify heavy metals in drilling mud of Tarim gas fields, and at the same time, the condition of standard exceeding of solidifiedbody leachate is greatly improved.

The invention relates to a branched polyether ester elastomer material and a preparation method thereof. The branched polyether ester elastomer material mainly comprises aromatic dicarboxylic acid dimethyl ester (or aromatic dicarboxylic acid, alfa, omega-aliphatic diol, polyether diol and polyol, wherein, the ingredient for branching is polyol. Compared with the prior art, the branched polyether ester elastomer material has special advantages of good hydrodynamic performance and easy film forming, the material is a Newtonian fluid and benefits for contour machining, and can be widely applied in membrane science.

The invention belongs to the technical field of plant genetic engineering, and in particular relates to over-expression GhJAZ1 genes capable of enhancing low temperature stress resistance of plants. JAZ (JASMONATE-ZIM DOMAIN) family protein genes GhJAZ1 are cloned from cotton, a cDNA sequence of the genes GhJAZ1 is shown in SEQ ID NO: 1, and the coded protein sequence is shown in SEQ ID NO: 2. An over-expression vector of the genes is constructed, and a transgenic plant is obtained according to a genetic transformation method. The cloned genes in the invention are proved to be capable of improving the tolerance of the cotton on low temperature stress.

The invention belongs to the field of biotechnology, and relates to a penicillium expansum strain for degrading liquor distillers' grain cellulose. The penicillium expansum strain for degrading liquor distillers' grain cellulose is named penicillium expansum N53. The penicillium expansum N53 provided by the invention can degrade cellulose in liquor distillers' grains into glucose, has the characteristics of high cellulase activity, high conversion rate from cellulose into glucose and the like, greatly improves the utilization rate of the liquor distillers' grains, provides guarantee to follow-up generation of protein feed, and is a liquor distillers' grain cellulose degrading strain with great values in research and development. Few researches are available about fermenting and degrading the liquor distillers' grain cellulose by use of penicillium expansum.

The invention discloses a complex network construction method based on adjacent matrixes. A complex network is constructed based on a Kronecker multiplication operation and a Kronecker addition operation generating network adjacent matrixes. The method comprises the main steps of determining the generated network, calculating the generated network adjacent matrixes, calculating a generated network degree distribution polynomial, calculating the adjacent matrixes of the complex network, calculating the degree distribution polynomial of the complex network and the like. The complex network obtained through the complex network construction method is different from a classical stochastic network, a small-world network, a scale-free network, a self-similarity network and the other networks. By the adoption of the degree distribution polynomial expression method, according to the Kronecker addition operation, the operation of coefficient addition and frequency multiplication of normal polynomial multiplication is adopted; according to the Kronecker addition operation, the operation of coefficient addition and frequency multiplication of similar polynomial multiplication is adopted, and the complex network degree distribution is worked out strictly in theory. Particularly, the self-similarity network can be obtained based on the Kronecker multiplication operation generating the network adjacent matrixes.

The invention discloses a high-living rate and high-purity mature fiber cell system of Mongolian horse (CGMCC No.1879) in the cellar biological domain, which is characterized by the following: culturing high-purity phoroblast without epithelial cell; maintaining the living rate of frozen cell between 93.2% and 98.7%; fitting for large scale of culturing.

The invention discloses a new complex network construction method based on a matrix product. The new complex network construction method based on the matrix product comprises the following main steps: determining a generation network set, calculating a generation network adjacency matrix set, determining a generation network degree distribution polynomial set, calculating a complex network adjacency matrix, and calculating the degree distribution of the complex network. On the basis of the Kronecker product of a plurality of generation network adjacency matrixes, the complex network is constructed, different generation networks and different amounts of generation networks are selected or the sequence of the Kronecker product of the generation network adjacency matrixes is regulated to obtain different generation networks. The complex network obtained by the invention is different from general random networks, small-world networks, scale-free networks and self-similar networks. In addition, through operations of the frequency multiplication and the coefficient multiplication of the degree distribution polynomial expression form of the complex network, the degree distribution of the type of complex network can be theoretically calculated strictly.

The invention relates to the field of electric digital data processing, in particular to a complex network building method based on an adjacent matrix Kronecker sum, and is especially suitable for data processing methods with specific functions. The complex network building method includes that on the basis of a simple generating network, Kronecker sum operation is performed on adjacent matrixes of the simple generating network iteratively to generate a complex network with degree distribution having polynomial distribution characteristics, the degree distribution of the complex network can be strictly calculated theoretically by adopting operation with coefficient multiplied and number of times added of a usual polynomial multiplication on a degree distribution expression form of the generated network. When number of iterations is large, the degree distribution of the complex network is approximate to normal distribution, has the characteristics of a classical random network and can be considered as a random network. When the generated network is simple, the degree distribution of the complex network can be acquired through existing tools or by directly adopting a polynomial expansion form. The complex network building method is especially suitable for complex network building.

The invention relates to a method for obtaining pluripotent stem cells with high propagation capacity and high differentiation potential of a large-scale experimental animal by using cloned cells of the large-scale experimental animal as target cells to perform induction of the pluripotent stem cells, optimization of in vitro culture conditions and functional verification, to the field of interdiscipline of animal resource science and cell biology. The pluripotent stem cells cultured by the method is pollution-free, high in cell purity and stable in cell quality and passage growth, so that that pluripotent stem cells are suitable for large-scale culture. The pluripotent stem cells of the large-scale experimental animal can be used for effectively performing lasting and continuous study on the same object of study, provide an object of study with constant characteristics for life science study, can be used as standard cells in the study fields of cell engineering, tissue engineering and the like, and can be used in a plurality of fields of the life science study, so that the pluripotent stem cells have far-reaching significance for the life science study in China.

The invention discloses a pulping method of special pulp, and belongs to the technical field of pulp and paper making engineering. A sulfite stewing liquid is prepared from soluble base ammonium salt or sodium salt; and the special pulp is produced by using good timbers and leftover materials of monterey pine. The production technology comprises the following steps: (1) preparing the stewing liquid, which contains 3%-6% of total acid and 0.8%-1.5% of combined acid; (2) selecting a material and washing wood chips; (3) stewing in a pot, pressurizing and loading in the pot, and stewing in two stages; and (4) terminal point determination, namely determining according to reacted acid and color of a red liquid, wherein the polymerization degree of the produced pulp is greater than 2,000; the bleachability is 30%-50%; and the yield of screened pulp is 44%-55%. The requirements of high-viscosity products produced by cellulose ether and cellulose ester manufacturers can be met by bleaching; and the domestic blank is filled up.

The invention discloses a complex network construction method on the basis of matrix operation. A complex network is constructed by Kronecker sum operation and Kronecker product operation on the basis of a plurality of generated network adjacent matrices. The complex network construction method comprises the main steps of: determining a generated network set; calculating a generated network adjacent matrix set; calculating a generated network degree distribution polynomial set; calculating an adjacent matrix of the complex network; calculating a degree distribution polynomial of the complex network; and the like. The complex network obtained by adopting the method is different from other classical networks, such as a random network, a small-world network, a scale-free network, a self-similar network and the like. Moreover, a degree distribution polynomial expressing method is adopted, operation of times multiplication and coefficient addition of common polynomial multiplication is adopted for Kronecker sum operation and operation of times multiplication and coefficient addition of similar polynomial multiplication is adopted for Kronecker product operation, and thus, the degree distribution of the type of complex network can be theoretically and strictly calculated. Particularly, the random network can be obtained by Kronecker sum operation on the basis of a plurality of generated network adjacent matrices.

The invention discloses a one-dimensional porous medium combustible gas detonation inhibition visualization device and a numerical simulation method. The device comprises a detonation pipeline; a gasinlet, an ignition source and a pressure sensor are arranged at one end of the detonation pipeline, and a photoelectric sensor is arranged on the outer side of the detonation pipeline; the gas inlet is connected with an air storage tank and a methane storage tank; an exhaust valve is arranged on the side wall of the deflagration pipeline, a pressure sensor is arranged on the pipe wall of one sideof the exhaust valve on the deflagration pipeline, the pressure sensor and the photoelectric sensor are connected with a data acquisition card, and the data acquisition card is connected with a computer; a one-dimensional porous medium is placed in the deflagration pipeline, and a PVC film is additionally arranged at the other end of the deflagration pipeline; a high-speed camera is arranged on the periphery of the deflagration pipeline and right faces the one-dimensional porous medium, the high-speed camera is connected with a synchronous controller, and the synchronous controller is connected with a computer. The invention further provides a numerical simulation method for inhibiting flammable gas deflagration through the one-dimensional porous medium according to the one-dimensional porous medium combustible gas detonation inhibition visualization device, and provides reference for improving the deflagration inhibition technology.

The invention discloses a halogen-free flame-retardant biodegradable composite material as well as a preparation method and application thereof. The halogen-free flame-retardant biodegradable composite material is prepared by the following steps: using a biodegradable high-molecular compound as a matrix; using a functionalized chitosan as a flame retardant, wherein the functionalized chitosan is a biomass flame retardant which integrates flame retardancy and metal synergistic effect and is synthesized from chitosan, diphosphorus pentoxide, metal salt and other raw materials through chemical action; and uniformly mixing the matrix with the flame retardant through an internal mixer, wherein a mass ratio of the high-molecular compound to the flame retardant is 100:(0.8-4.0). The halogen-free flame-retardant biodegradable composite material prepared by the invention has good thermal stability and flame-retardant property, and can be widely used in the fields of industrial packaging materials, disposable articles, sanitary articles, laminated materials and the like.