43results about How to "Facilitate follow-up research" patented technology

The invention discloses a preparation method of laboratory BGA nanometer reinforced solder balls and heat fatigue-resistance BGA packing devices, and belongs to the technical field of welding materials. The preparation method comprises the following steps: SAC305 eutectic powder and nanometer particles are mechanically mixed and grinded in proportions; the obtained composite powder and rosin flux paste are mixed according to a certain ratio for classified adding and stirring; the paste is printed on a glass plate through meshes of a silk screen or a printing steel screen by a scraper; steel screen-glass plate integrated equipment printed with the paste with a certain volume is put in a vacuum thermal insulation box or a heating plate for melting and ball production; and then, the molding, the scraping, the cleaning, the drying and the screening are performed. The screened tin balls are selected for BGA welding ball planting; and the fatigue resistance of the packing containers under nanometer reinforcement is researched.

The invention provides an oat culture medium and its preparation method and application, which comprises the following components by weight: 50-100 parts of oat kernels, 10-30 parts of sucrose, 5-20 parts of agar powder, 200-20 parts of 500 parts water. Preparation method: (1) Put oat kernels in a beaker, add water to it, and sterilize under high-pressure steam; (2) After sterilizing, let the sterilizer cool naturally, take it out and filter it with gauze, and add water to the filtrate , then add sucrose and agar powder, and continue heating to fully dissolve the sucrose and agar powder; The pot is naturally cooled to obtain the oat culture medium, and finally the prepared oat culture medium is refrigerated and preserved for future use. In the present invention, the oat culture medium is more suitable for the growth of Phytophthora infestans than the rye culture medium, and the cost of oat is low, the growth speed of Phytophthora infestans is fast, and other different fungi can be cultivated, and the growth of the fungi is good.

The invention discloses a method for large-scale quick separation of insect peritrophic membranes. The method can separate peritrophic membrane organizations from insect midgut in a short time, and then food residues therein are quickly cleaned, so that a large amount of purified peritrophic membrane organizations are obtained; the efficiency is improved by 16 times when compared with that of the general method; and the convenience is provided to the subsequent research of proteins in the peritrophic membranes.

This case provides a vehicle fault identification model construction, identification method, device, and management system, including: extracting sample data of sample vehicles; analyzing data: analyzing the data differences between faulty vehicles and non-faulty vehicles according to the sample data, and obtaining Get the analysis result, the analysis result includes the relevant data that is easy to cause failure and the characterization information of the faulty vehicle in each dimension dimension data mined from the sample data; extracting sample data features: extracting data features from the analysis results, Establish a vehicle portrait according to the data characteristics; weight the vehicle portrait processed by the machine learning model and its corresponding fault label to obtain a fault recognition model. Through this case, it is possible to build a vehicle fault identification model, and use this model to perform fault judgments on new vehicle samples to obtain the probability of failure of the vehicle to be identified, provide assistance for vehicle operation, and improve the availability of operating vehicles.

The present invention relates to urban traffic network construction and key node identification methods, specifically multi-layer urban traffic network construction and key node identification methods based on complex networks, and solves the problem that existing methods easily lead to unreliable calculation results of key nodes. The scheme is: select L kinds of vehicles constitute each layer of the multi-layer network; the sites in each layer are nodes, and the lines between nodes are edges; the nodes belonging to the same site in different layers establish inter-layer links; the centrality score of the calculation layer and each The strength of the nodes in the layer; add the bias in the random walk jump to iteratively calculate the node ranking value, and then add the corresponding node scores in each layer to obtain the ranking of the node. Advantages: 1. It proposes to build inter-layer links in a multi-layer network and allow the number of nodes in each layer to be inconsistent, so as to truly reproduce the actual traffic network; 2. Considering the heterogeneity of the importance of layers and nodes, by jumping in the random walk Adding a bias to obtain a method for evaluating the importance of nodes during transfer, and the sorting results are more reliable.