17results about How to "Avoid identification" patented technology

The invention provides a crane hoisting monitoring method and system based on multi-normal-form visual fusion and a medium, and relates to the technical field of computer vision. Acquiring an image of the target acquisition area through an image acquisition device, and obtaining a real-time image acquisition video stream; preprocessing the real-time image acquisition video stream to obtain real-time image frame data; performing real-time image frame data identification based on the visual detection model to generate detection information; inputting the detection information into a visual tracking module, and tracking the identification object to obtain tracking information; acquiring a fixed dangerous area or a dynamic dangerous area based on the detection information and the tracking information; and identifying a dangerous condition in the video stream according to the dynamic dangerous area or the fixed dangerous area, obtaining dangerous condition accumulated data and triggering an alarm. The technical problems that in the prior art, the monitoring means is single, and dynamic dangers are difficult to accurately recognize are solved, and the technical effect of accurately recognizing potential dangers of hoisting operation in real time is achieved.

The invention relates to a block chain transaction method supporting privacy protection and identity tracking, and belongs to the technical field of block chain application. The specific process of the method is as follows: a financial management institution FMA generates a public key / private key pair for member registration and anomaly analysis according to a security parameter lambda, and group sending is performed on public keys; deploying a recharging contract and a payment contract on the block chain; each consumer ui registers to the FMA through a mobile device to become a member user of the transaction system, and the consumer holds a group signature key gski returned by the FMA after successful registration; the payment service operator cj registers to the FMA to become a member before providing service, and after successful registration, the payment service operator holds the FMA to return an identifier pid of each product terminal managed by the payment service operator; and the consumer calls a payment contract to carry out order payment based on the signature key gski and the identifier pid of the product terminal, and finally, the method further comprises an anomaly analysis link.

The invention discloses an alarm information processing method and device and a nonvolatile storage medium. The method comprises the following steps: acquiring alarm information generated by a plurality of alarm devices, and classifying the alarm information according to the types of the alarm devices; target alarm information corresponding to each type of alarm equipment is collected based on the time sliding window, and the target alarm information is alarm information corresponding to the time range indicated by the time sliding window; based on the topological relation between the target alarm information and the network equipment, a causal graph is constructed, and the causal graph is used for indicating the causal relation of information propagation between the target alarm information; and determining key alarm information based on the causal graph. The technical problem of low processing efficiency caused by incapability of accurately identifying key alarm information of multiple pieces of alarm information due to neglect of a causal relationship between the alarm information in related technologies is solved.

The embodiment of the invention provides an attack resisting method and device, equipment and a storage medium. The method comprises the following steps: acquiring an initial image, and dividing the initial image into a plurality of panes according to a preset window size; in response to the fact that the pane is covered by the prompt, determining the pane covered by the prompt as a target pane; an initial confrontation sample is optimized based on the target pane, so that disturbance generated by the initial confrontation sample is not higher than a disturbance threshold value, the optimized target confrontation sample is output, and the initial confrontation sample is generated by adding noise to the initial image. And using the target confrontation sample to attack an image segmentation model to obtain an attack result, the image segmentation model comprising an image encoder, a prompt encoder and a mask encoder. The embodiment of the invention aims to improve the generalization ability and success rate of attack resistance.

This invention relates to an active learning-based data-free black-box attack method and system based on multidimensional value assessment, belonging to the field of artificial intelligence security technology. This method constructs a pre-emptive "sample screening funnel," utilizing a local substitution model to perform multidimensional assessments of sample boundary approximation, information uncertainty, and geometric diversity before sending images to a commercial cloud API. Only high-value samples are selected for querying, thereby achieving low-cost, high-efficiency model theft and adversarial attacks. This invention ensures the diversity and training stability of data-free generated samples, significantly improves the transfer success rate of adversarial examples, and achieves "low-cost, low-risk" economical attacks. It has strong versatility and can be seamlessly integrated into various existing data-free attack frameworks, facilitating deployment and implementation in practical security assessment systems.

The invention provides a millimeter wave radar system based on an underground mine tunnel and a vehicle auxiliary system. The radar system is characterized in that a radar radio frequency front-end circuit comprises a plurality of cascaded millimeter wave radar chips which are connected with a data acquisition and processing module through a serial peripheral interface, and the plurality of cascaded millimeter wave radar chips are divided into a master chip and at least one slave chip; local oscillation signals generated by the master chip are distributed to the slave chip through the Wilkinson power divider, a digital frame synchronization clock is distributed to the slave chip through the master chip and the clock distributor, and original ADC data captured by the millimeter wave radar chips are transmitted to the data acquisition and processing module. And the data acquisition and processing module is used for performing multi-dimensional FFT processing on the original ADC data transmitted by the radar radio frequency front-end circuit to obtain a distance Doppler image, and separating and identifying a distance and speed map in the distance Doppler image through a CFAR algorithm to obtain distance and speed information of each target around and in the roadway.

The utility model relates to the technical field of landscape elevator security and protection, and particularly discloses a security and protection system for a suspension bridge main tower attached landscape elevator, which comprises a waiting channel, a ticket checking gate, a camera and a weighing platform, the waiting channel is arranged at an elevator doorway, the camera is arranged above the waiting channel, and the camera is connected with an image recognition module and is used for recognizing the number of people in the waiting channel; the ticket checking gate machine is installed at an entrance of a waiting channel and connected with the controller, the controller controls the ticket checking gate machine to open or close ticket checking, a weighing table is arranged at the entrance of the ticket checking gate machine and measures the weight of a ticket checker, and a mass sensor is arranged below the weighing table and connected with a calculation module. The calculation module and the image recognition module are both connected with the controller, the controller controls the ticket checking gate to be opened or closed for ticket checking according to the weight collected by the mass sensor and the number of people recognized by the image recognition module, the number of people entering the elevator and the weight of people entering the elevator are accurately controlled, and overload of the elevator is effectively prevented.

The invention discloses a data hiding method and device, a data processing method and device and electronic equipment. Relates to the technical field of networks, and comprises the following steps: obtaining to-be-hidden data, and performing data processing on the to-be-hidden data to obtain target data, the target data being different from the to-be-hidden data, and the target data being used for restoring the to-be-hidden data based on an inverse processing mode of data processing; a target folder in the target storage area is named based on the target data, and the naming of the target folder is used for enabling the to-be-hidden data to bypass file detection. According to the data hiding method and device, the technical problem that the data hiding reliability is low due to the fact that a file is generated in the data hiding process and is easily detected by a detection tool in the related technology is solved.

This invention provides a proactive defense method and system, comprising: determining whether the attacker is a historical attacker; for historical attackers, responding to the attacker's request using a corresponding honeypot; for non-historical attackers, forwarding attack traffic to a honeypot cluster to obtain a honeypot response; determining whether the honeypot response is within a denial domain; using the honeypot corresponding to the honeypot response not within the denial domain as the honeypot responding to the attacker's request; if multiple honeypot responses are all within the denial domain, adopting a random response strategy to confuse the attacker; recording the response message generated by the honeypot responding to the attacker and the attacker's characteristics in the log; the log also includes a mapping list; to improve the overall robustness and deception of the system.

A user equipment (“UE”) in a wireless communication network can generate a padded identifier by inserting a string of padding bits in a field of an identifier associated with the UE. The UE can further encrypt the padded identifier to generate a hidden padded identifier. The UE can further transmit the hidden padded identifier to a network node operating in the wireless communication network.

This invention relates to a method for multi-factor authentication passwords. It automatically generates corresponding matching features by continuously recording the relatively fixed characteristics of a user's password input habits, and automatically invokes these matching features for verification in case of verification anomalies. Because these matching features possess strong personal characteristics and long-term stability, they significantly improve security against technical decryption, brute-force attacks, and credential stuffing attacks. Furthermore, these matching features do not require separate configuration, achieving the technical effect of improving password verification security and reliability without increasing the user's learning cost or verification methods.

The present application relates to the technical field of unmanned aerial vehicle signal identification, and discloses an unmanned aerial vehicle signal identification method, an electronic device and a computer readable storage medium, the method comprising: obtaining a target signal image obtained by detecting a target unmanned aerial vehicle, the target signal image comprising frequency distribution information of a target signal; the duty ratio of the target signal is greater than a preset duty ratio threshold; amplifying the resolution of the target signal image according to a preset amplification factor to obtain an amplified signal image; identifying a plurality of edge contours of a target signal in the amplified signal image to obtain a plurality of first target areas on the amplified signal image; and reducing the resolutions of the plurality of first target areas according to a preset magnification factor to obtain a plurality of second target areas so as to identify target information of the target unmanned aerial vehicle according to the plurality of second target areas. In this way, the accuracy of unmanned aerial vehicle signal identification is improved.

Disclosed are a display device capable of operating in a normal mode or a standby mode including a low afterimage mode, and an electronic apparatus including the display device, the display device including: a display panel including pixels; a gate driver providing a gate signal to the pixel; an emission driver providing emission signals defining a non-emission period and an emission period to the pixels; a data driver supplying a data voltage to the pixels; and a controller controlling the gate driver, the emission driver, and the data driver. The number of pulses of the gate signal in the non-emission period in the low afterimage mode is greater than the number of pulses of the gate signal in the non-emission period in the normal mode. The ratio of the non-transmission period to the frame period in the low afterimage mode is smaller than the ratio of the non-transmission period to the frame period in the normal mode.

The invention belongs to the technical field of industrial defect detection, and particularly relates to a fuzzy labeling defect detection method based on brightness adaptation enhancement and content perception. The method comprises the following steps: firstly, acquiring a fuzzy annotation data set, and performing data enhancement by adopting a brightness adaptive data enhancement mode to obtain an enhanced data set; then, a defect detection model composed of a deformable attention-based feature extraction network, a content-aware efficient aggregation feature fusion network and a detection head is constructed, and the deformable attention-based feature extraction network comprises a backbone network of a YOLOv8 model and a deformable attention module; and finally, training a defect detection model by using the enhanced data set, and using the trained defect detection model for defect detection. The brightness adaptation data enhancement fully considers the brightness difference between the source image and the target image, the two images are allowed to be mutually enhanced only when the brightness difference meets the condition, the large brightness difference between the defect and the background in the enhanced image is avoided, the pasting position is selected at the common position of the defect, and the visual consistency of the defect and the target image is improved; the model focuses on the common characteristics of the defects, and the detection accuracy is improved.

This invention relates to the field of smoke sensors and discloses a mine smoke sensor that is easy to maintain. The smoke sensor includes a fixed base on its top, a resistance structure surrounding its side, and a cleaning structure surrounding the side of the resistance structure. The cleaning structure includes an air pressure tube, a piston slidingly mounted inside the air pressure tube, and a movable rod on one side of the piston. The cleaning structure provided by this invention is linked to the battery compartment. When the operator opens the battery compartment for battery replacement or equipment maintenance, pulling the external pull ring synchronously moves the movable rod and piston outward, filling the air pressure tube with air. During battery replacement and when the battery compartment is closed, the piston pushes inward, evenly discharging the stored air through multiple cleaning tubes, effectively blowing away dust accumulated on the sensor surface. This is especially beneficial if the sensor surface has firmly adhered dust.

The invention discloses a trabectedin-loaded nano-micelle and oxaliplatin-loaded drug combination composition and application, and relates to the technical field of delivery and drug combination, and the trabectedin-loaded nano-micelle and oxaliplatin-loaded drug combination composition comprises trabectedin-loaded nano-micelle and oxaliplatin. The invention also discloses an application of the combined pharmaceutical composition in preparation of antitumor drugs. According to the invention, a pH-sensitive amphiphilic biodegradable material (such as PCL-PEOz) and a chemical drug are self-assembled to form stable micelles, so that the bioavailability of the drug is improved, the critical concentration of the micelles is reduced, and long-acting circulation in vivo is realized; the system can be combined with oxaliplatin for use, so that the sensitivity of tumor cells to oxaliplatin is promoted, the synergistic effect of chemotherapy and immunotherapy is exerted, the treatment effect of malignant tumors is improved, and the tumor microenvironment is improved.

The disclosure provides a subframe bolt tightening control method and system, the method: obtaining vehicle model information through the identification code pre-prepared on the vehicle body; according to the vehicle model information, the electric tightening machine obtains the subframe tightening program matched with the vehicle model; the tightening program is divided into three stages according to the specified torque, and different tightening speeds are configured for each stage; the electric tightening machine executes three-stage tightening according to different speeds, monitors the starting and ending bolt rotation angle values of the three stages and the bolt rotation angle value sequence of the third stage until the tightening reaches the specified torque; according to the final tightening torque value and the bolt rotation angle value, it is judged whether the tightening result is qualified; if qualified, the tightening data of this tightening process is generated to generate a tightening curve for analysis. By setting the three-stage tightening strategy, the effectiveness and controllability of the process monitoring are improved; in the stage where the bolt is prone to deformation or fracture, angle monitoring is concentrated, the diversity of tightening process monitoring data is improved, and resource consumption is reduced.