134results about How to "Rich knowledge" patented technology

The invention belongs to hydrologic observation equipment and in particular relates to an indoor columnar soil layer infiltration automatic determination system. An air vent electromagnetic valve is arranged on an air inlet pipeline on the top of a Marriott bottle, a water supply electromagnetic valve is arranged on a water inlet pipeline on the lower part of the Marriott bottle, a water outlet at the bottom of the Marriott bottle is connected with a water inlet on the top of a dial type sprinkler through a water outlet pipeline, and an adjusting valve is arranged on the water outlet pipeline; an experiment soil groove is formed below the dial type sprinkler, the upper part of the experiment soil groove is connected with the lower part of a runoff bottle through a runoff pipeline, and a free drain outlet is formed at the bottom of the experiment soil groove; a first liquid level sensor is arranged in the Marriott bottle, and a second liquid level sensor is arranged in the runoff bottle; and air vent electromagnetic valve, the water supply electromagnetic valve, the adjusting valve, the first liquid level sensor and the second liquid level sensor are respectively connected with a programmable controller. The indoor columnar soil layer infiltration automatic determination system is convenient in determination, high in accuracy and applicable to test operation of soil layer infiltration in the related fields of soil such as agriculture, soil environment and water resources.

The present invention discloses a true triaxial test ultrasonic wave and acoustic emission testing system. According to the present invention, a true triaxial test apparatus has six sides of pressurization units, wherein ultrasonic wave and acoustic emission coupling test transducers are arranged between every side of the pressurization unit and corresponding surfaces of rock, a communication terminal of at least one ultrasonic wave and acoustic emission coupling test transducer is connected with a signal output terminal of a multi-channel ultrasonic wave defect detector, communication terminals of other ultrasonic wave and acoustic emission coupling test transducers are respectively connected with a signal input terminal of the multi-channel ultrasonic wave defect detector and a signal receiving terminal of an acoustic emission instrument through signal shunts, and the acoustic emission instrument and the multi-channel ultrasonic wave defect detector are connected with a computer. With the present invention, an ultrasonic wave test and an acoustic emission test can be performed on the same rock, completely comprehensive data information can be provided for understanding of deformation and breaking law, and mechanics mechanism of the rock, and adverse affects on test results by difference of different blocks can be avoided.

The invention provides an urban traffic abnormality identification method based on a complex network theory. The method comprises the following steps: step 1, constructing an urban traffic network based on traffic data; step 2, carrying out feature extraction and screening based on a complex network theory; step 3, carrying out the abnormality recognition and prediction of a traffic system; and step 4, evaluating and verifying a model. According to the invention, the scientific and reliable technical support and theoretical support can be provided for the recognition and prediction of the urban traffic congestion abnormality based on the complex network theory and a machine learning method. Therefore, the congestion abnormality of the urban traffic system can be efficiently and accuratelyidentified and predicted, and the method has important significance in ensuring the healthy and stable operation of the urban traffic system and improving the reliability of the urban traffic system;and the method is scientific and good in manufacturability and has the great application and popularization value.

The invention discloses a method for promoting high production and early-maturing of rapes. The method comprises the following steps: A. construction of close planting high production colony of the rapes: selecting high-production, high-quality and early-maturing rape types, applying a nitrogen fertilizer in advance at the ratio of base fertilizer, seedling fertilizer to 12th lunar month fertilizer of 7:2:1; B. selection of exogenous plant growth substance type and dose: adopting a potting method, spraying 1 mg L<-1> Brassinosteroid (BR) at the blooming period to promote dry matter transshipment after blooming; C. application of exogenous plant growth regulator in field: adopting potassium dihydrogen phosphate, boric fertilizer and BR according to a certain mixing ratio; D. selection of rape harvest time: 21-35 days after blooming when the physiological maturity period is reached, wherein the harvested oil content is increased by 0.5-1.0 percent. The method is feasible, can increase the rape yield and quality, allows the rape to properly mature earlier for being harvested ahead of time, so as to effectively relieve the season contradiction, and can promote rape production and multiple cropping agricultural development in our country.

The invention discloses a bent axle rotor-bearing system dynamics experiment table electric control system, which comprises a computer controller, a preposing enlarger, an A/D converter, a magnet valve, an air cylinder, an inverter drive controller, a drive engine, a pressure sensor, a displacement sensor and a bent axle. The utility model adopts the technical scheme of bent axle rotor-bearing system dynamics test bed electric control system in the invention, which can stimulate various faults mechanism load situation, on-line test and maintaining during the working process of bent axle, etc. The invention can help people to have complete knowledge to the bent axle rotor-bearing system, which is helpful for building more accurate interdependence relationship among each design index of multiple diesel engines, and provides the theory guidance on improving the performance of diesel engine further.

The invention relates to an object picture display method with dynamic fusion of a background and a display method thereof. The method comprises the following steps that: (1), color information of an object and transparency information of three primary colors are obtained in advance and are respectively stored as pictures in a JPEG format or a BMP format, and the pictures are stored in a system; (2), a user selected an object that he/she wants to browse by an interface; and (3), a background picture is selected by ways like uploading by a user, hand-operated selection by a user and automatic switching and the like, and the selected background picture is fused with an object picture, so that an effect diagram is shown for the user. In addition, the invention also provides an object picture display system with dynamic fusion of a background. And the system consists of a background processing module, a data storage module, and a foreground display module. According to the invention, the color information and the transparency information of the three primary colors are separated from the object picture with a background and are respectively stored in one picture; an image transparency fusion algorithm is employed to display effect diagrams of the object under different backgrounds, so that the user can fully understand textures and attributes of the object and have an accurate grasp of characteristics of the object.

The invention relates to intron-source circular RNA molecules and an application of cyclization key nucleotide sequences of intron-source circular RNA molecules. The invention specifically discloses sequences of circular RNA novel molecules and genome mapping and the cyclization key nucleotide sequences of the circular RNA novel molecules and further discloses a set of plasmids which contain the cyclization key nucleotide sequences for generating the circular RNA molecules comprising any nucleotide sequences. The invention discloses the intron-source circular RNA molecules and the application of cyclization key nucleotide sequences of intron-source circular RNA molecules for the first time, thereby providing a brand-new concept and method for generating the circular RNA molecules comprising any nucleotide sequences.

The invention relates to a method and device for executing a Faster R-CNN neural network algorithm. The method comprises the steps that multiple images of different angles of the same food are obtained; a recommendation area of a sample detection is determined by using RPN; the type and frame of a food object in the recommendation area is predicted by using Faster R-CNN; the volume ratio occupiedby each food object is predicted by using Volume R-CNN according to the predicted frame of the food; the volume ratio of different kind of foods is calculated according to the food object type and thefood object volume ratio; the volume ratio of calculated each kind of food multiplies the density of each kind of food to obtain the mass ratio of each kind of food; the total mass ratio of each kindof food multiplies the total mass of the food to obtain the mass of each kind of food; the mass of each kind of food multiplies corresponding nutrient content to obtain food nutrient element content.By means of the method and the device, complicated food of multiple kinds can be measured, and the recognition of food can be more accurate and rapid by adopting an artificial neural network technology and a chip.

The invention provides a method for identifying a lysine single methylated modification substrate. The method comprises the following steps: 1) an external acylated derivative reaction is used for deriving a single methylated epsilon-amino group of a substrate protein lysine residue to a propionyl methylated epsilon-amino group; 2) a affinitive enrichment is carried out for peptide fragments with propionyl methylated modification with a pan anti-propionyl methylated lysine antibody prepared by specificity; and 3) a mass spectrum identification is carried out for sites, polypeptide sequences and substrate proteins with propionyl methylated modification after affinitive enrichment by the antibody.

The invention discloses a high-pressure packaging container, and a high-pressure in-situ gas compression packaging and pressure monitoring system. The system comprises the high-pressure packaging container, a high-pressure in-situ gas compression packaging system and a high-pressure in-situ gas monitoring system, wherein the high-pressure in-situ gas compression packaging system can package both a plurality of inert gas pressure transmission media and a plurality gaseous-state samples; the high-pressure in-situ gas monitoring system can precisely calibrate ultrahigh pressure; the high-pressure packaging container is provided with an optics observation window and a high-pressure gas inlet, so that high pressure generated during the packaging process of the gaseous-state samples or the inert gas pressure transmission media can be monitored, the situation that pressure in the high-pressure packaging container is stable and controllable during the packaging process is ensured, and the problems that the packaging of the gaseous-state samples or the inert gas pressure transmission media fails caused by uncontrollable pressure in the high-pressure packaging container and a diamond anvil cell press is damaged are avoided to further increase the success rate of a high-pressure in-situ experiment.

The invention discloses molecular markers for the rice cold-tolerant major QTL qCTS12 and an identification method and application of the molecular markers. The molecular markers for the rice cold-tolerant major QTL qCTS12 are M5 and M6, PCR amplification is conducted by using primers corresponding to the molecular markers M5 and M6, and an amplified product is detected. The identification methodof the molecular markers M5 and M6 is used in location of the rice cold-tolerant qCTS12. By using the molecular markers M5 and M6, whether there is the cold-tolerant major site in a rice variety or not can be effectively detected, and the efficiency of selecting a cold-tolerant material in the rice seedling stage is quickly improved. By means of the molecular markers, location of the cold-tolerantqCTS12 can be accelerated, and after the molecular markers are used for helping selective breeding, the breeding progress is accerated.

The invention discloses an automatic analysis scheme for mass text data, and relates to the field of text-type data analysis. Text-type data are analyzed from five aspects including statistics of basic data information, words and sentences, weight statistics of words and phrases, inference of emotion words, classification analysis and theme analysis. After the five types of analysis are conductedby a system according to a model algorithm, results are analyzed to generate and display specific visualized graphs, and accordingly, users can acquire the text data visually to analyze conclusions comprehensively. The automatic analysis scheme has the advantages that automatic analysis of the mass text data is realized through a series of function, algorithm and graph designs, and analysts are assisted in finding the conclusions related to the text data quickly.

The embodiment of the invention discloses an enterprise risk control method, device and equipment based on big data credit investigation and a medium, the method is executed by an enterprise risk control system, and the enterprise risk control system comprises a credit investigation data standardization module, a credit investigation data indexing module, an enterprise admission module, an enterprise anti-fraud module and an internal credit scoring module. The method comprises the following steps: processing credit investigation data acquired by a plurality of data sources through a credit investigation data standardization module to determine a structured data item; processing the structured data item through a credit investigation data indexing module to form a credit investigation data index corresponding to the evaluated enterprise; automatically verifying the credit investigation data indexes corresponding to the evaluated enterprises through an enterprise admission module, and screening out the evaluated enterprises meeting admission requirements according to a verification result; and performing fraud risk evaluation on the evaluated enterprise meeting the admission requirements through a built-in model of the enterprise anti-fraud module, determining the fraud probability of the evaluated enterprise, and forming a fraud risk score of the evaluated enterprise.

The invention provides a measuring device for simulating the hydrological dynamics of the litter layer on a forest slope, which comprises a litter receiving frame, a first measuring device and a second measuring device, and the first end of the litter receiving frame is provided with a The telescopic first support, the second end is provided with a telescopic second support, the first end is an open structure, and is connected with the first measuring device; the litter receiving frame is laid with a receiving screen, and the receiving screen is A precipitation device is provided, a water collection bag is provided under the receiving screen, and an outlet connected to the second measuring device is provided at the bottom of the water collection bag. The invention adjusts the inclination of the litter receiving frame through the telescopic first support and the second support to simulate different slopes; the vertical infiltration and the infiltration along the slope are measured by the first measuring device and the second measuring device Lateral migration, so as to indirectly measure the interception of litter layers under different rainfall conditions and different slope conditions, and dynamically monitor the distribution of rainfall by litter layers on slopes.

The invention provides a Western silverware stamp identification method based on deep learning, and belongs to the technical field of image recognition. A deep neural network is trained by a manuallylabeled sample. The neural network obtains judgment of producing area and year information by learning stamping characteristics, and the style and the condition of a silverware are directly and comprehensively known and judged.

The invention discloses an application of an Asian cotton GaNCED3 gene in improving the drought resistance of plants, and belongs to the technical field of plant genetic engineering. The invention also provides a method for cultivating a transgenic plant with improved drought resistance. According to the method, a target nucleotide sequence is introduced into a receptor plant through a plant over-expression vector pBI121-GaNCED3 to increase the activity of the GaNCED3 in the receptor plant or increase the content of the GaNCED3 in a target plant or promote the expression of a GaNCED3 encoded protein, and the drought resistance of the obtained transgenic plant is higher than that of a control receptor plant. The improvement of the drought resistance is shown in the following aspects: underthe drought stress simulated by mannitol, the seed germination rate, green plantlet frequency and root length of the transgenic plant are higher than those of the receptor plant, and under natural drought, the malondialdehyde content of leaves of the transgenic plant is smaller than that of the receptor plant, and the accumulation amount of free proline is larger than that of the receptor plant.

The invention discloses a tax risk early warning method and system. The tax risk early warning method comprises the steps of determining at least one risk index corresponding to each index category ineach industry according to the industry category; respectively establishing a tax risk index system of each industry according to the determined risk index of each industry, and determining a risk early warning threshold value corresponding to each risk index; according to the tax declaration period, configuring different risk index calculation formulas according to tax risk related early warningitems, and calculating risk index actual values by using the business data corresponding to the tax risk related early warning items and the configured risk index calculation formulas; judging whether the risk index actual value of the same risk index is greater than or equal to a risk early warning threshold; and if yes, determining that a risk event exists, and prompting risk early warning information. According to the invention, a multi-index tax risk early warning function can be provided for enterprise users, tax risks can be prevented in time, tax risk pre-control can be realized, and tax risks can be avoided.

The invention relates to a traffic knowledge graph construction method based on cross-media data. The method specifically comprises the following steps of S1, obtaining and processing multi-source heterogeneous traffic original data; S2, converting the traffic original data into traffic entities through a knowledge representation and knowledge storage method to form a preliminary traffic knowledgegraph, and storing the preliminary traffic knowledge graph in a graph database; and S3, associating and expanding the preliminary traffic knowledge graph through a knowledge fusion and knowledge reasoning method to form a cross-domain traffic knowledge graph based on cross-media data. Compared with the prior art, the invention has the advantages that the traffic data processing efficiency is improved, the application of the traffic data is wider, and the practicability and the high efficiency are better.

The invention discloses a ubiquitin ligase gene OsNLA2, a protein and application of the ubiquitin ligase gene OsNLA2 in rice selection. The protein encoded by the ubiquitin ligase gene OsNLA2 has anamino acid sequence shown as SEQ ID NO. 1, and a cDNA sequence shown as SEQ ID NO. 2. Through construction of rice plants with gene OsNLA2 expression and rice plants with gene OsNLA2 mutation, it is found that gene OsNLA2 expression can be improved so as to have grain sizes and 1000-grain weights of normal rice grains increased; and moreover, rice plant heights in low-nitrogen environment can alsobe increased. In addition, the gene OsNLA2 expression can be knocked-out so as to have quantities and weights of normal individual rice plants increased. Therefore, the gene OsNLA2 can be used for improving rice grain types, 1000-grain weights and rice plant heights in low-nitrogen environment in the process of rice selection; and moreover, the gene OsNLA2 can also be used for improving rice yield in the process of rice selection. In addition, the gene OsNLA2 is also of important application values in the aspects of plant seed size, weight, yield, low-nitrogen-environment plant height increase and the like.