10results about How to "Prevent restore" patented technology

The utility model discloses a production device of a layered silver-based metal oxide contact material, which comprises a discharging mechanism, an atmosphere protection resistance furnace, a rolling mill, an atmosphere protection cooling device, a limiting device and a winding machine, and the atmosphere protection resistance furnace is divided into a resistance furnace middle section, a resistance furnace front section and a resistance furnace rear section. The resistance furnace middle section is connected with an external non-reducing and non-combustible gas conveying device, the resistance furnace front section and the resistance furnace rear section are both connected with the external non-reducing and non-combustible gas conveying device, and the atmosphere protection cooling device is divided into a cooling device middle section, a cooling device front section and a cooling device rear section. The cooling device middle section is connected with an external non-reducing combustible gas conveying device, and the cooling device front section and the cooling device rear section are both connected with the external non-reducing combustible gas conveying device. The layered silver-based metal oxide contact material which is firm in composite interface bonding, low in cost and stable and reliable in quality can be prepared.

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 invention discloses a method and a device for resisting model inversion attack based on a deep learning network structure. And the risk of model inversion attack is reduced from the data source level by performing block scrambling preprocessing on the image. A deep learning network is designed for an image subjected to block scrambling, and the deep learning network aims to extract symbolic features from the image subjected to block scrambling, improve the recognition accuracy and resist model inversion attacks based on gradient and self-attention. According to the method, features with higher robustness can be extracted from the image subjected to block scrambling, model inversion attacks based on gradient and self-attention are effectively resisted, malicious attackers are prevented from restoring or speculating the original image through technical means such as model inversion, and the method has important privacy protection and information security application value.

The invention discloses an attack chain restoration method and device, a product, equipment and a medium, and the method comprises the steps: mapping an alarm into a first attack type, and enabling the first attack type to be an attack type divided based on an attack mode; the first attack type is matched with a scenarized model, and the scenarized model is a model which is created based on an intrusion scene and comprises a second attack type corresponding to the intrusion scene; the matching condition of the scenarized model is that the first attack type is at least matched with a preset attack type in the second attack types; and when the matching condition of any scenarized model is met, restoring the attack chain based on the first attack type matched with the second attack type. Therefore, the attack types are divided based on the attack mode, the alarm is mapped into the attack type with finer granularity, and the attack chain is restored under the condition that the matching condition of the scenarized model is met, so that the accuracy of attack chain restoration can be improved.

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.

The invention discloses a formation method of a sodium ion battery, which comprises the following steps: S1, performing constant current I1 charging formation on the sodium ion battery after liquid injection and standing at preset temperature and pressure, and charging to cut-off capacity Q; s2, discharging the battery at a constant current I2 to a cut-off voltage V1 during normal use; s3, the discharge current is adjusted, and the small current I3 is adopted to continuously discharge the battery to the cut-off voltage V2; s4, placing for a certain time t; s5, the steps S3-S4 are repeated for N times, and N is equal to 1-5; s6, the battery is subjected to air exhaust and sealing; and S7, charging the battery at the current I3 to a charging state required by the battery. According to the invention, gas molecules in an adsorption state can be removed, gas generation expansion during overdischarge of the battery is inhibited, and a stable SEI membrane can be constructed, so that the cycle life of the sodium ion battery can be prolonged.

The present invention belongs to the technical field of industrial waste slag resource utilization, and specifically discloses a method for hydrothermally synthesizing dihydrate ferric phosphate from iron-phosphorus waste slag, the steps of which are as follows: (1) first placing the iron-phosphorus waste slag in an oven at 50-80°C for 4-6 hours, then crushing and ball-milling it for standby use; (2) placing the iron-phosphorus waste slag obtained in (1) in a hydrothermal reactor, then adding a regulator to the reactor, and finally adding industrial-grade phosphoric acid and hydrogen peroxide to the reactor, reacting at 160-180°C for 12-24 hours, cooling and filtering to obtain a dihydrate ferric phosphate crude product and a filtrate 1; washing and drying the dihydrate ferric phosphate crude product to obtain a dihydrate ferric phosphate product and a washing liquid 1. The method of the present invention fully recycles and utilizes the iron and phosphorus resources in the iron-phosphorus waste slag through the hydrothermal synthesis technology; the method does not require the adjustment of pH value, does not introduce additional anions and cations, and does not generate wastewater, thereby providing a new way to utilize the iron-phosphorus waste slag resources.