1268results about How to "Strong complementarity" patented technology

This invention generally relates to a method for developing, generating and selecting human embryonic stem (hES)-like pluripotent cells using transgenic expression of intronic microRNA-like RNA agents. More particularly, the present invention relates to a method and composition for generating a non-naturally occurring intron and its intronic components capable of being processed into mir-302-like RNA molecules in mammalian cells and thus inducing certain specific gene silencing effects on differentiation-related and fate-determinant genes of the cells, resulting in reprogramming the cells into a pluripotent embryonic stem (ES)-cell-like state. The ES-like cells so obtained are strongly express hES cell markers, such as Oct3 / 4, SSEA-3 and SSEA-4, and can be guided into various tissue cell types by treating certain hormones and / or growth factors under a feeder-free cell culture condition in vitro, which may be used for transplantation and gene therapies. Therefore, the present invention offers a simple, effective and safe gene manipulation approach for not only reprogramming somatic cells into ES-like pluripotent cells but also facilitating the maintenance of pluripotent and renewal properties of ES cells under a feeder-free cell culture condition, preventing the tedious retroviral insertion of four large transcription factor genes into one single cell as used in the previous iPS methods.

The invention discloses a method for detecting and classifying fabric defects and mainly aims to solve the problem of automatic detection and classification of fabric defects. The method comprises the following steps of: firstly, detecting a picture of the fabric defects, filtering the picture by using a Gabor filter group, selecting an optimal filtering result and performing binaryzation on the optimal filtering result by using a reference picture so as to position the positions of the defects in the picture; secondly, extracting a compound characteristic consisting of a Gabor characteristic and a partial binary model characteristic according to the positions of the defects; thirdly, performing pre-treatment on the compound characteristic by main constituent analysis and generalized discriminant analysis algorithm; fourthly, training a neural network classifier by using a pre-treated defect characteristic; and lastly, realizing accurate classification of a fabric defect characteristic by using a trained classifier. The method has the advantages of accurate defect positioning and high classification accuracy and can be used for detecting and classifying the fabric defects in a textile mill.

The invention relates to a spinel nickel manganese acid lithium and layered lithium-rich manganese-based composite cathode material with a core-shell structure and a preparation method thereof, which belongs to the technical field of material synthesis. The prepared lithium ion composite cathode material takes a layered lithium-rich manganese-based Li[Lia(NixCoyMnz)]O2 as a core material, takes spinel nickel manganese acid lithium LiNi0.5Mn1.5O4 as a shell material; a coprecipitation method is employed to obtain a core-shell precursor, the core-shell precursor and the lithium source are uniformly mixed and calcined to obtain the spinel nickel manganese acid lithium and layered lithium-rich manganese-based composite cathode material with the core-shell structure. According to the invention, the layered lithium-rich manganese-based is taken as the core material, and the spinel nickel manganese acid lithium is taken as the shell material; under the prerequisite that material gram capacity is kept, material structural stability is increased, material cycle, multiplying power and safety performances are improved, function composite and complementation of the core material and the shell layer material can be realized, and the problem that high capacity and high security can not be achieved simultaneously is solved. The composite cathode material has the advantages of simple process and obviously increased performance.

A method for improving and utilizing the serious saline-alkaline land at seaside includes such areas as digging ponds to build high-level field, arranging water supplying and draining ditches in the field, planting agricultural crops in the high-level field, and culturing aquatic animals in ponds.

A solar thermoelectric power generation system comprises a solar thermoelectric power generation system body, a concentrated solar device, a metal photothermal conversion device, a water circulating cooling system and a solar heat absorption coating. Sunlight and concentrated sunlight can irradiate on the metal photothermal conversion device which is coated by the solar heat absorption coating, the solar heat absorption coating converts light energy into heat energy, and then the heat energy is transmitted to the metal photothermal conversion device, the metal photothermal conversion device transmits the heat energy to a hot end of a thermoelectric power generation device, a cold end of the thermoelectric power generation device is cooled by the seawater or river water or lake water or pond water or underground water circulating cooling system, and the solar thermoelectric power generation system body which is composed of the hot end of the thermoelectric power generation device and the cold end of the thermoelectric power generation device can convert heat into electrical energy.

The invention relates to an image classifying method and system for self-adaption weight fusion of multiple classifiers. Multiple features capable of giving consideration to different kinds of objects are selected, and comprise spectral feature, textural feature, fractal dimension feature and topic feature; for different features, different classifiers are selected and then fused, compared with the single classifier, the fusion classifier has higher classifying precision and better classifying effect. Meanwhile, weights of component classifiers are self-adaptively designed according to classifying reliabilities of the component classifiers to the samples without being fused and decided by one weight which is fixed for all samples.

The invention discloses a method for preparing a high-performance doped diamond-like film. The method is characterized by comprising the following steps: firstly, utilizing ultrasonic cleaning technology to remove a polluted layer on the surface of a substrate; utilizing ion beam assisted deposition technology to prepare a gradient transition layer; and finally utilizing ion beam deposition and magnetron sputtering to synthesize a multi-element doped DLC film, wherein except any one of carbonaceous gases, such as methane, acetylene, benzene, ethanol, acetone and the like, any gas containing non-carbon elements, such as silicon hydride, boron hydride, phosphorane, carbon tetrafluoride and the like, is simultaneously introduced, and a metal sputtering source is opened for the doping of metal elements. The method has the advantages of synthesizing the multi-element doped DLC film which is simultaneously doped with the metal elements and the nonmetal elements, fully developing the complementary advantages of the doped metal elements and the doped nonmetal elements and remarkably improving the combination properties of the DLC film.

The invention discloses a section power supply and status measurement and control method of parallel-connected traction networks at the tail end of a double track railway. By taking the section (10km) of the railway as a unit, a contact line sectioning and a sub-section post are additionally arranged at a section boundary. The sub-section post comprises a circuit breaker, a current transformer, a voltage transformer and a measurement and control unit. The circuit breaker and the current transformer connected with the circuit breaker in series are in bridge connection with the two ends of the contact line sectioning, and the sectioning is series-connected in the contact line. Through the arrangement of the sectioning and the sub-section post and the introduction of running status criterion, the running situation of charging trains on the traction networks can be timely and accurately mastered by operators on duty in a traction substation or dispatching room; by using the fault criterion, various faults can be timely and accurately found, distinguished and isolated, the continuous power supply and running of fault-free sections are ensured, the power outage scope is reduced to the maximum extent, and further the reliability of power supply of the traction networks is improved. The device has less investment and is easy to implement, not only is conveniently used by a new line, but also facilitates the transformation of an existing line.

A longitudinal, transverse and vertical force integrated control optimization method for electric vehicles driven by hub belongs to that technical field of electric vehicle control. The object of theinvention is to adopt a layered cooperative control structure so as to solve the four shortcomings existing in the prior art control system of a longitudinal, lateral and vertical force integrated control optimization method of an electric vehicle driven by a hub. The invention brings the relationship between vehicle resultant force and four-wheel tire force into the vehicle body six-degree-of-freedom equation to obtain the expected values of vehicle kinematics control target longitudinal speed, lateral speed, vertical speed, pitch angle, roll angle and yaw angle, thereby optimizing the vehicle kinematics control target. The layered longitudinal, lateral and vertical force unified optimal distribution integrated control method eliminates the conflict between different chassis electronic control systems and enhances the complementarity, and comprehensively improves vehicle handling stability and vehicle driving posture, which is embodied in the improvement of vehicle road tracking performance, safety, maneuverability, stability and comfort.

The invention discloses a visual tracking method based on target characteristics and bayes filtration. The method comprises the following steps: a system model and an observation model are established according to the actual motion of a target; the color and the gradient of the target are calculated, similarity function is constructed, and the current observed value of the target is obtained by a particle filter; the state average of particulate matter and the covariance are processed by using karman filtration, thus generating new gauss distribution, then new particulate matter is sampled according the gauss distribution generated, thus calculating weight and output; finally, the particulate matter is sampled again; meanwhile, a partition detection method for the target and the corresponding processing algorithm of shading and non shading are proposed; the visual tracking process is finished. Compared with similar algorithm, the method realizes information complementation between the characteristics by the blending of multi-information, therefore, the target is not easy to be affected by external environmental factors such as light, etc. By adopting the combination of particle filtration and the karman filtration, the tracking accuracy of the whole method is higher, thus improving the tracking performance and being adapted to various complicated environments.

An in-situ biologic repairing method for the soil polluted by petroleum features that after the fungus-bacteria mixed liquid, soil improver, organic fertilizer and inorganic nutrients are applied to the polluted soil, the soil is irrigated, ploughed, and covered by plastic film.

The invention relates to a natural active drug-polysaccharide targeted compound with antitumor activity and targeting property. A natural active drug is introduced onto a polysaccharide framework by chemical grafting, and physically mixed with a ligand distearoylphosphatidyl ethanolamine-polyethyleneglycol-anisoyl amine with targeted transmission capacity to form a natural active drug-polysaccharide targeted compound, and the natural active drug-polysaccharide targeted compound can be self-assembled in water to form a nano micelle. The method is characterized in that the natural active drug-polysaccharide targeted compound has targeted transmission capacity, enhances the tumor transfer efficiency of the preparation, reduces the untoward reaction and enhances the tolerance of the patient; the hydrophobic inner core formed by the hydrophobic group can physically wrap the antineoplastic drug, thereby obviously improving the water solubility of the antineoplastic drug; and the antineoplastic drug which is physically wrapped by the chemically coupled ursolic acid can implement combined treatment of tumors and lower the toxic or side effect. The preparation method is simple and easy to operate, has the advantage of higher yield, and can easily implement industrialization.

The invention discloses a moving object track clustering method based on multi-feature fusion and clustering ensemble. The method comprises the steps of firstly roundly capturing the feature information of the track of a target moving object; then performing clustering analysis on four selected moving track features and generating a plurality of primary clustering results by using a K-means clustering algorithm; quantizing the quality of the plurality of primary clustering results, and then obtaining three fusion clustering result by means of weighted summation; and further integrating the three fusion clustering results to generate a final integration clustering result. According to the method, the feature information of the target moving object can be comprehensively captured, relevance between the dynamic characteristic of the track and time slice can be restored to the utmost extent, and the good antijamming capability is provided; weights are distributed to the plurality of primary clustering results according to different clustering quality assessment criteria, the class number can be automatically recognized during the fusion process, and the intrinsic structure of the class cluster can be effectively captured.

The invention discloses a deep-learning-based pedestrian re-identification method. The method comprises the following steps: S1, bringing forward a deep network structure for pedestrian re-identification processing and obtaining similarity scores of pedestrians based on naked pixels of original images; S2, providing a learning sorting algorithm for guiding learning of the deep network; S3, carrying out sorting unit sampling on a training sample and training the deep network by using a stochastic gradient descent algorithm; and S4, after completion of the deep network training, for a pedestrian under one lens, calculating a score of similarity with a candidate image under another lens directly by a network, and obtaining a matching result. According to the invention, a mapping relation between original image pairs and corresponding similarity scores is established based on the deep convolutional neural network; and the network input is a pixel value of the original image and no pretreatment and design of hand-operated features are needed. Moreover, features with high discriminative and expressive properties can be learned based on large-scale data, thereby substantially improving the pedestrian re-identification effect.

The invention discloses a method for cultivating agaric with mulberry branches. The formula for cultivating agaric with mulberry branches consists of the following raw materials by weight: 80-85 parts of mulberry branch, 1-5 parts of rice bran, 1-5 parts of bran, 1-5 parts of corn meal, 1-5 parts of silkworm excrement, 1-5 parts of gypsum powder, 0.1-1 parts of lime powder, 1-3 parts of sugar, 1-5 parts of cottonseed meal, 1-3 parts of soybean powder and 0.1-1 parts of calcium carbonate. To cultivate agaric with mulberry branches has ample raw material sources, simple technology, low cost and quick effectiveness. Moreover, to cultivate agaric with mulberry branches can solve the contradictions between fungus and forest. To cultivate agaric with mulberry branches instead of forest logs not only has the effect of turning waste into treasure and improving the economic benefit of sericulture production, but also has great significance in the protection of the forest resource.

The invention discloses a fluoroquinolone acetal isoniazone, of which the chemical structure general formula is disclosed as Formula I shown in the description, wherein R1 is hydrogen atom or methyl group; R2 is hydrogen atom or amino group; R3 is hydrogen atom, methyl group, ethyl group, formacyl group, acetyl group, aroyl group or sulfonyl group; R4 is hydrogen atom or methyl group; and X is oxygen atom or sulfur atom. The fluoroquinolone isoniazone disclosed by the invention implements complementarity between the two anti-tuberculosis medicines fluoroquinolone and the isoniazide, lowers the toxic and side effect of the fluoroquinolone and the isoniazide, reduces the generation probability of drug resistance of Mycobacterium tuberculosis for the double-effect antimicrobial agent, and can be used as an anti-Mycobacterium tuberculosis medicine for brand-new structure development of medicinal active substances.

The invention relates to an unmanned vehicle navigation and positioning precision correction method based on GNSS and visual odometer fusion. The unmanned vehicle navigation and positioning precision correction method comprises the steps of: (1) detecting lane lines based on monocular vision; (2) optimizing positioning precision of a monocular visual odometer; (3) and correcting positioning precision of a GNSS / VO integrated navigation system. The unmanned vehicle navigation and positioning precision correction method utilizes the lane lines for assisting the visual odometer, then fusing the visual odometer with GNSS positioning to improve the reliability of a vehicle positioning system; the GNSS / VO has a high complementary feature, the GNSS can obtain a long-term stable positioning result, and VO can obtain short-term high-precision positioning data, two sensors are used for filtering a difference value of position measured values, and estimated value of VO system errors is used for correcting errors of the VO system, thereby realizing the purpose of restricting long-term drift of the VO data by utilizing the GNSS data.

The invention belongs to the technical field of computer image recognition, and specifically relates to a pedestrian re-identification method based on attitude normalized image generation. The methodcomprises steps of: predicting a pedestrian average attitude and attribute features; constructing, training and testing an attitude normalized image generation model and generating eight pedestrian images having different attitudes; constructing, training and testing pedestrian re-identification feature extraction network to obtain a pedestrian re-identification feature; and finally, performing the pedestrian re-identification feature fusion, and obtaining the features of a pedestrian target to be detected and all candidate pedestrian targets. The method of the invention has the advantages ofhigh speed, high precision, good robustness, good generalization ability and good expandability, and is very suitable for practical applications such as video pedestrian monitoring and video pedestrian information retrieval.

A automatic fire unit based on comprehensive vision sensor comprising microprocessors, video frequency sensors for the surveillance, communication modules used to communicate with the outside world and firefighting nozzles, the firefighting nozzle is connected to drives, the video frequency sensor is a multi-dimensional visual sensors, dispose and analysis images, make a comprehensive judgment through the simple pattern classification, the flame area characteristics judgment, the flame physical characteristics judgment, flame color judgment, the law of flame flashing judgment, flame movement characteristics judgment and judgment of the fire intensity, automatically adjust the nozzles according to flames position and spray extinguishing agent assigned in the vicinity of the fire source. The invention can effectively reduce the false fire alarm rate, inspect and locate accurately, with good real-time performance and automatically control the nozzle spray fire-extinguishing agent to the flames found in the shortest time, the achieved detection and control is simple.

The invention discloses equipment using fermentation dross to produce high activity high nutrition forage; the equipment comprises a box body; an inner side of the top of the box body is provided with an air window, an atomizer mechanism, and ultraviolet lamp tubes; an outer side of the top of the box body is provided with a water container and a mixing chamber; the upper portion of the mixing chamber is provided with a cooling zone; the lower portion of the mixing chamber is provided with a blender and a connected fermentation bed mechanism arranged in sequence from top to bottom, wherein the fermentation bed mechanism is arranged in the box body; the bottom of the box body is provided with a ventilation input pipe and electric heaters; the ventilation input pipe is connected in sequence with an air filter and a blower / air cooler; a side face of the box body is provided with a discharge window, another side face of the box body is provided with an access door and an ozone generator, and a temperature humidity control module is arranged in the box body. The invention also discloses a method using fermentation dross to produce high activity high nutrition forage; the method can realize full fermentation, is high in fiber degraded rate, large in protein raising rate, high in active substance content, and less in energy loss; inner environment conditions of the equipment are easy to control.

The invention relates to a characterization method and a test device for a near-field terahertz THz time domain spectrum. The characterization method comprises the following steps: a near infrared femtosecond pulse laser beam which is radiated by a femtosecond laser source is split into a pump light path and a detection light path by an optical beam splitter; pump light is modulated by an opticalchopper, and excites a solid terahertz emitting source or a test sample in a nanoscale quasi one-dimensional structure so as to generate terahertz wave signals required by spectral analysis; detection light passes through an optical delay line and a necessary transmission light path, is superposed with the pump light path on a terahertz detection crystal, and samples terahertz signals; the terahertz signals sampled by the detection light pass through a quarter wave plate and a Wollaston prism and is split into P light and S light, the P light and the S light are put into the input end of a difference photodiode, the small signal output end of the difference photodiode outputs differential signals, and the differential signals are processed (amplified and subjected to analog-to-digital conversion) by a lock phase signal amplifier, wherein synchronous frequency signals of the lock phase amplifier come from the optical chopper; and the processed signal data are transmitted to a computer for further processing and operational analysis.

The invention provides a soluble straw decomposing agent, its preparation method and application. The soluble straw decomposing agent comprises by weight: 10-20 parts of a composite bacterial agent, 20-50 parts of nutrients, 2-5 parts of a plant source emulsification penetrant, and 25-68 parts of a soluble carrier. The composite bacterial agent contains cellulose decomposition bacteria, protein decomposition bacteria, and nutrient bio-control growth-promoting bacteria. The invention also provides a preparation method of the above soluble straw decomposing agent. The soluble straw decomposing agent provided in the invention is in a powder form and is fully soluble in water, and also can be applied through both scattering and spraying, thus being suitable for mechanized operation. The soluble straw decomposing agent provided in the invention can substantially speed up degradation of a plurality of crop straw, promote crop growth, and prevent a lot of crop diseases and pests.

The invention pertains to the technical field of pesticides and relates to a mixed herbicide used in direct-seeding rice fields. The mixed herbicide is characterized in that the mixed herbicide contains penoxsuam and pyrazosulfuron-ethyl and the effective components of the mixed herbicide are as follows according to percentage by weight: 0.1 percent to 50 percent of the penoxsuam and 0.2 percent to 50 percent of the pyrazosulfuron-ethyl. The mixed herbicide can be prepared into an oil-based suspending agent, a water dispersible granule and a wettable powder. The mixed herbicide is used for preventing and weeding weeds in the direct-seeding rice fields with obvious weeding effect, is safe for rice and has wide extension in weeding and obvious synergism.

The invention relates to preparation and application of an amphiphilic ursolic acid-polysaccharide coupled substance with antitumor activity. The ursolic acid is chemically modified to substitute C3 site carboxyl group with amino group, the generated aminated ursolic acid is chemically coupled to a polysaccharide framework to form the amphiphilic ursolic acid-polysaccharide coupled substance, and the amphiphilic ursolic acid-polysaccharide coupled substance can be self-assembled into a nano micelle in water. The method is characterized in that the antitumor activity of the chemically modified ursolic acid is obviously enhanced; the hydrophobic inner core formed by the hydrophobic group can physically wrap the antineoplastic drug to obviously improve the solubility of the antineoplastic drug; and the antineoplastic drug which is physically wrapped by the chemically coupled ursolic acid can implement combined chemotherapy, has higher antitumor activity, has the combined synergetic action, and lowers the toxicity. The preparation method is simple and easy to operate, has the advantage of higher yield, and can easily implement industrialization.

The invention discloses a Chinese song emotion classification method based on multi-modal fusion. The Chinese song emotion classification method comprises the steps: firstly obtaining a spectrogram from an audio signal, extracting audio low-level features, and then carrying out the audio feature learning based on an LLD-CRNN model, thereby obtaining the audio features of a Chinese song; for lyricsand comment information, firstly constructing a music emotion dictionary, then constructing emotion vectors based on emotion intensity and part-of-speech on the basis of the dictionary, so that textfeatures of Chinese songs are obtained; and finally, performing multi-modal fusion by using a decision fusion method and a feature fusion method to obtain emotion categories of the Chinese songs. TheChinese song emotion classification method is based on an LLD-CRNN music emotion classification model, and the model uses a spectrogram and audio low-level features as an input sequence. The LLD is concentrated in a time domain or a frequency domain, and for the audio signal with associated change of time and frequency characteristics, the spectrogram is a two-dimensional representation of the audio signal in frequency, and loss of information amount is less, so that information complementation of the LLD and the spectrogram can be realized.

The invention discloses a honeypot defense method and system based on mimicry defense, equipment and a medium, which are applied to the technical field of network security. A virtualization managementsubsystem comprises a mirror image management module, a honeypot management module, a virtual network management module and a control scheduler which are connected in sequence, the mirror image management module constructs a mimicry honeypot mirror image through a KVM virtual machine mirror image technology, a plurality of virtual high-interaction honeypots and a mimicry honeypot system are obtained, and the honeypots are mimicry honeypots; the honeypot management module manages the honeypots and monitors the state of the honeypots; the virtual network management module controls the honeypotsystem to perform data access and network communication; and a control scheduler dynamically switches the mimicry honeypots and the network according to the output judgment result of the mimicry honeypots. According to the invention, mimicry defense is combined with the honeypot system, so that the security and controllability of network space security defense are improved.

The invention discloses a composite microbial inoculum fertilizer. The invention is characterized in that the fertilizer is prepared from the following components in parts by weight: 6-8 parts of composite microbial inoculum, 25-35 parts of potassium sulfate, 40-55 parts of urea, 35-50 parts of calcium superphosphate, 150-175 parts of biomass power plant ash, 300-330 parts of sawdust, 200-250 parts of biological carbon, 100-115 parts of medical stone powder, 120-125 parts of zeolite powder and 7-9 parts of soil conditioner. The effective components of the composite microbial inoculum comprise Bacillus licheniformis, Bacillus pumilus, Bacillus lateraporus, Bacillus megaterium and silicate bacterium. The composite microbial inoculum is added to the product to improve the microflora distribution and microenvironment in soil; and the abundant generated derivatives chelate or block the direct damage of heavy metals to the tobacco to some extent, and have the function of restoring the polluted soil. The soil conditioner contains bowlder which contains abundant microelements beneficial to the human body, and the microelements are absorbed by the crops and converted through the food chain so as to be beneficial to the human body; and meanwhile, the adsorption component can effectively adsorb and solidify toxic heavy metal elements in soil, reduce the heavy metal elements absorbed by the crops, and enhance the crop yield.

The invention discloses an edible fungus dried air circulation treatment device which comprises a baking chamber, an air treatment unit, an air supply header pipe, an air mixing device, and an air supply pore plate and an air return pore plate which are arranged in the baking chamber in parallel, wherein the baking chamber is segmented into an air supply static pressure space, an air return static pressure space and a baking workshop; the air treatment unit consists of an air inlet, a solid adsorption and dehumidification device, a heat pump loop, a fan, an auxiliary electric heater and an air outlet; the heat pump loop consists of a condenser and three groups of compressors and an evaporator assembly which are arranged in parallel; and the compressors and the evaporator assembly comprise an expansion valve, an evaporator and compressors which are sequentially connected. By employing the parallel air supply mode and the general-branch-general-branch refrigerant distribution mode, the air distribution is improved, and the uniformity and stability of the air flow and temperature field in the baking chamber during operation are guaranteed, so that the consistency of the baking effect is guaranteed, and the energy consumption in the process of operating the baking chamber at a low load is reduced.

The invention relates to a non-cooperative target relative navigation motion estimation method and system based on multi-source information fusion. The method comprises the following steps of: givinga joint calibration method of a laser and visual measurement system, obtaining the reprojection information of a laser scanning point cloud in camera coordinate system based on the joint calibration system, respectively acquiring the depth compensation information of the target point and the compensated depth information by using a quadratic interpolation method, realizing information fusion between the laser scanning point cloud and the vision camera image, and finally acquiring the motion estimation of the target on the basis of the fusion information. The method provides a fusion method ofinformation of a vision camera and a laser scanner. The high precision depth information of the laser scanning point cloud can be used to compensate for the poor accuracy of the visual image in the depth direction, meanwhile, the defect of low resolution of laser scanning is avoided and the high precision of laser scanning depth information and high image resolution of visual measurement system are integrated. Meanwhile, the interpolation calculation method of information fusion is a simple algebraic operation, which is easy for engineering realization and application.