5results about How to "Prevent restore" patented technology

The utility model relates to a water-soluble hexavalent chromium filtering and collecting device, which belongs to the field of laboratory collection, and comprises a Buchner funnel (1) and a tray (2), the Buchner funnel (1) comprises a funnel opening (3) and a funnel neck (4), the funnel neck (4) is arranged at the bottom of the funnel opening (3), the funnel neck (4) is connected with the tray (2), the Buchner funnel (1) is taken out, and a beaker (11) filled with filtrate is taken out at the same time. The Buchner funnel (1) is provided with a suction filtration bottle (5), the suction filtration bottle (5) is provided with an extraction opening (6), the extraction opening (6) is connected with an extraction pipe (7), the extraction pipe (7) is connected with the suction filtration bottle (5), and the suction filtration bottle (5) is connected with the suction filtration bottle (5). The exhaust pipe (7) is connected with a vacuum pump (8), so that the filtering effect is improved, and the filtering is faster.

The invention provides an implicit behavior data security acquisition method and device based on federal learning, and relates to the field of data security. The method comprises the following steps: acquiring implicit behavior data in a user equipment side, and preprocessing the implicit behavior data; performing feature extraction operation on the implicit behavior data after the preprocessing operation, and obtaining target behavior features corresponding to the keyboard data, the mouse data and the eye movement data respectively; obtaining hybrid model training parameters based on the target behavior characteristics; training parameters through a hybrid model, and carrying out local model iterative training based on a federated learning dynamic aggregation algorithm; obtaining model parameters after iterative training, and adding encryption noise for the model parameters according to a double-layer differential privacy integration mechanism; and obtaining model parameters after noise addition to complete data security acquisition. The problem that most of applications of existing federal learning in implicit behavior data still stay on the structural level, and the hidden danger of behavior privacy disclosure exists is solved.

This invention relates to the field of gas pipeline safety monitoring technology, and discloses a method for predicting the risk situation of underground gas pipelines based on neural network 3D modeling. The method includes: collecting multi-source heterogeneous data of the pipeline network and preprocessing it to generate a standardized fusion dataset; extracting spatial and temporal features based on a fusion neural network of CNN and LSTM, and generating a 3D model of the pipeline network by combining GIS coordinates; analyzing the risk factor weights using the Grey-DEMATEL-ISM method, and using the N-K model to calculate multi-factor coupled risks to generate the coupled risk level of each pipe segment; predicting the risk situation based on the 3D model features and coupled risk results, and outputting graded early warning information.

The application discloses a Java runtime business logic protection method and system based on instruction driving, and relates to the technical field of Java program protection. In order to solve the defects that the existing Java program protection technology can only be statically protected and has the risk of being cracked and stolen, a target business logic is unitized and split to form a plurality of business units; the order of execution instructions of the business units is protected through instruction description; the instruction files are encrypted and stored to form encrypted instruction files; when the target business logic needs to be executed, a dynamic instruction parser loads the corresponding encrypted instruction file according to a current business scene, and the content of the encrypted instruction file is restored to a structured execution instruction sequence through a decryption process; the execution instructions in the decrypted execution instruction sequence are extracted, and the target business logic is dynamically completed according to the order of the execution instructions and control logic. The application is mainly used for protecting the business logic written by a Java program.

The application discloses a kind of synthesis methods of high-purity 2-bromo-6-nitrobenzaldehyde, belong to organic synthesis technical field, the synthesis method is at 20-30 ℃, 1,2-dichloroethane, 2-bromo-6-nitrotoluene is mixed, stirring is dissolved, N-bromine phthalimide and initiator are mixed, heating to 70-100 ℃, reflux reaction, cooling to 20-30 ℃, post-processing is obtained compound A;Compound A is mixed with acetonitrile, temperature control is 0-10 ℃, batch is added urotropine, stirring is at 20-40 ℃, acetic acid is added, stirring is at 70-100 ℃, post-processing is obtained 2-bromo-6-nitrobenzaldehyde;The synthesis method of the application can solve the problems of low product yield, low purity, poor quality, serious three waste pollution, high cost and difficult industrialization existing in the prior art of 2-bromo-6-nitrobenzaldehyde synthesis method.