42results about How to "Get quickly and efficiently" patented technology

The invention discloses a big data based e-commerce company evaluating, analyzing and predicting method and a system for online shopping, or more particularly, a big data acquiring, analyzing, and predicting method and a system which convert unstructured texts including evaluating contents into structured data by combining a control and exchange center deployed on Spark to a plurality of exchange proxies. The invention is performed on the basis of big data and utilizes a data mining algorithm of big data to effectively treat all information. The method and the system of the invention can be applied for online shopping by providing accurate evaluation and analysis so that a user can conveniently make judgments about whether the comments are true or false and whether their online shopping is worthwhile or not before he or she finally decides to purchase a product from an e-commerce company.

The invention discloses a solar unmanned aerial vehicle route planning method based on day and night cycle flight, and belongs to the technical field of route planning. According to the method, firstly the physical parameters of the flight environment and a solar unmanned aerial vehicle are initialized, then the sun position change data under different moments of the specific date are calculated, the output power of laid photovoltaic modules is calculated when the unmanned aerial vehicle is in different flight attitudes under different sun positions, the corresponding optimal flight attitude is calculated according to the sun position of different moments, and the daytime flight route of the solar unmanned aerial vehicle is formed and the night flight route is calculated according to the flight attitude of different moments. The endurance time of the unmanned aerial vehicle can be enhanced to the greatest extent so that the threshold of realizing day and night flight of the solar unmanned aerial vehicle can be reduced and the subsequent design of the load module can be facilitated. With application of the method, the night flight route can be rapidly and effectively obtained so as to meet and realize the requirement of day and night cycle flight of the solar unmanned aerial vehicle.

The invention belongs to the technical field of image processing and discloses a remote sensing image target detection method based on cloud computing storage and deep learning. The method in the invention reduces the training time through parallel deep learning, optimizes the training effect, effectively improves the image recognition efficiency and achieves the purpose of real-time recognition by using Storm real-time recognition; and is conducive to improving the recognition speed and accuracy by dividing a remote sensing image into a plurality of segmented sub-regions. Since the method inthe invention adopts a mean shift algorithm for segmentation, the algorithm is a fast and efficient cluster segmentation algorithm which can quickly and accurately obtain segmented sub-regions. In theinvention, after the mean shift algorithm is used for segmentation, a K nearest neighbor method is used for recognition. The method is the simplest among the data mining classification methods, and the operation efficiency is high.

The invention discloses a begonia masoniana leaf in-vitro regeneration system establishment method, which is characterized by comprising: selection and disinfection of explants, adventitious bud induction, adventitious bud subculture to obtain a test tube plantlet, root induction, and transplantation. According to the present invention, with the application of the breeding method to carry out tissue culture on the begonia masoniana, the one culture period proliferation rate is more than 1200 times, the breeding is fast, and the difficult problem of the begonia masoniana seedling breeding is effectively solved.

The invention relates to the broadband range material dielectric parameter acquisition field, and provides a new method for acquiring dielectric parameters from microwave, terahertz to infrared band. According to a technical scheme adopted by the invention, the broadband dielectric parameter acquisition method based on multiple-beam interference effect includes data acquisition and data processing processes. The data acquisition comprises acquisition of background data and signal data after putting a sample, a Fourier spectrometer is employed for measurement so as to acquire an interferogram, the abscissa of the interferogram is the position of a spectrometer interference arm moving mirror, and the ordinate is the response voltage of a detector to an interference signal. Data processing comprises primary processing to original data and inversion calculation of optical parameters. The inversion calculation of optical parameters is subdivided into interference order solution, real refractive index calculation, extinction coefficient calculation, absorption coefficient calculation, and dielectric parameter calculation, thus finally obtaining the dielectric parameters. The method provided by the invention is mainly used for broadband range material dielectric parameter acquisitions.

The invention relates to the technical field of production and manufacturing of a printed circuit board, and specifically to a printing process for the printed circuit board. The printing process comprises the following steps of (1) selection of a copper-clad plate: choosing a substrate, and cutting dimensions and sizes of the copper-clad plate according to the design requirement for the printed circuit board; (2) copying of the printed circuit board: overprinting a designed printed circuit diagram on the copper foil surface of the copper-clad plate through carbon paper; putting the carbon paper on the copper foil surface, and enabling the carbon paper to be fixed by gummed paper or an adhesive tape, and peeling off the carbon paper after the circuit diagram is traced without errors after verification, and obtaining a traced printed circuit diagram on the copper-clad plate; and (3) tracing plate: tracing and coating by a writing brush or a ruling pen with coating according to the copied circuit diagram. A simple plate-tracing manufacturing method is adopted, and the printed circuit board can be obtained rapidly and effectively; and meanwhile, the method is simple and convenient to operate, and high in practicability.

The invention discloses a dialkyl and diaryl tetrasubstituted heterocyclic compound, their preparing process and use, the compound has the general formula disclosed in the specification, wherein X is selected from S, O, NH and N-alkyl derivative, R1, R5, R'1, R'4, R'5 are selected from H, R6, R'5 are selected from alkyl, in particular alkyl of C1-C4, R2 is selected from H, methoxyl, R3 is selected from halogen, alkoxy, in particular alkyl of C1-C4 and PhCH2-alkoxy, R4 is selected from H, methoxyl, halogen, R'2 is selected from H, methoxyl, halogen and amine derivative, R'3 is selected from halogen, alkoxy, in particular alkyl of C1-C4 and PhCH2-alkoxy. The substituted heterocyclic compound can be used in preparing medicinal compositions, especially medicament for antineoplastic and anti-inflammatory actions.

The invention relates to a preparation method of a carbon and silicon carbide composite material, wherein the preparation method comprises the following steps: carrying out chemical vapor deposition of a prefabricated reinforcement body of carbon fiber or fabrics thereof to obtain a non-graphitized carbon/carbon composite material A; impregnating the prefabricated reinforcement body of the carbon fiber or the fabrics thereof with a thermosetting resin, curing, then carrying out cyclic carbonation to obtain a non-graphitized carbon/carbon composite material B; impregnating the prefabricated reinforcement body of the carbon fiber or the fabrics thereof with asphalt, carrying out cyclic carbonization to obtain a non-graphitized carbon/carbon composite material C; carrying out graphitization treatment of the non-graphitized carbon/carbon composite material A, the non-graphitized carbon/carbon composite material B and the non-graphitized carbon/carbon composite material C to obtain the carbon and silicon carbide composite material. The preparation method is simple, is high in precision degree, makes full use of raw materials, and can fast and efficiently prepare the carbon and silicon carbide composite material.

The invention discloses a classified storage method of information technology data, which comprises the following six steps: data entry, keyword classification, keyword category supplementation, format classification, format category supplementation and user retrieval, so that wide information technology data is effectively classified, and data in different forms and formats in different categories can be classified again. According to the invention, the content in different forms and formats in the required category can be quickly and effectively obtained by a user during retrieval, the retrieval accuracy is improved, the retrieval time consumption is reduced, and meanwhile, no keyword category and format category can be expanded and entered, so that the invention has a longer prospect.

The invention provides a topic-based tourism product classification method, system and device and a storage medium. The method comprises the steps of obtaining a destination-based text data set; feature word extraction is carried out based on the text data set, word embedding representation model training is carried out, and vectors of feature words are obtained; and carrying out weighted calculation based on the feature words to obtain the relevancy between the destination and each theme. According to the method, the labor cost of labeling can be greatly reduced, the text-related theme can be quickly and effectively obtained, the method has the characteristic of easy expansion, and a comprehensive score considering relevancy and popularity can be obtained, so that destination recommendation can be carried out.