18results about How to "Improve discovery rate" patented technology

The invention belongs to the field of universal software fuzz testing, and discloses a dynamic clustering fuzz testing method and system based on efficient byte exploration. According to the method, fuzzy test seed bytes are subjected to clustering analysis by using a density-based spatial clustering algorithm, the positions of key bytes are identified, and the effective variation times of the key bytes are recorded. Then, corresponding weights are distributed to the bytes according to the clustering result and the number of effective variation times of the clustering result, an energy distribution strategy is dynamically adjusted in combination with the path coverage rate and path novelty information, and the exploration efficiency of a new path is improved. And performing mutation on the high-weight bytes to generate effective seeds of a new path, locking key byte positions of the effective seeds, performing normalization processing on other positions, and continuing mutation operation. The test strategy is continuously optimized through repeated execution of the steps, and the fuzzy test efficiency and the vulnerability discovery capability are effectively improved.

The present application provides a fuzzy testing method and device based on a decision tree, which uses a modified BT template to parse sample data in a target data format, obtains file data in the target data format, generates a decision tree based on the file data, mutates the decision tree, and parses the mutated decision tree to obtain deformed data, and finally runs the target program to parse the deformed data, and determines the system vulnerability based on the running information of the target program. This solution can generate file data in the target data format based on the modified BT template, enrich the format of file data based on demand, and further improve the form of the deformed data obtained by mutating the decision tree, so as to better detect system vulnerabilities and improve the probability of vulnerability discovery.

The application relates to the technical field of artificial intelligence, and provides a crop growth monitoring system based on artificial intelligence, which comprises the following steps: establishing a unique identifier for each plot, recording and maintaining plot boundary, crop type, sowing date and historical yield information, and organizing adjacent plots into a continuous plot set; based on a pre-trained growth identification basic model, performing growth grade identification on collected plot images, and performing lightweight parameter correction under the constraint of local samples to obtain the growth index of each plot; splicing the growth index of each plot into a growth trajectory in chronological order, calculating a risk index representing the severity of potential problems and an uncertainty index representing the degree of insufficient monitoring; according to the risk index and the uncertainty index, combining the operation time window, the traffic condition and the operation capacity, performing priority sorting and generating a patrol route queue; and outputting a scheduling suggestion for a target plot according to the route queue and the growth trajectory.

The present invention belongs to the field of oil and gas exploration and development, and specifically relates to a method for identifying seismic attributes of medium-low energy mud diapir development range. The method comprises the following steps: filtering and structural smoothing of original seismic data; extraction and optimization of relevant seismic attribute three-dimensional bodies; QC evaluation of the preferred attribute body reflecting diapir; RGB fusion of the preferred data body after parameter optimization; and judgment and elimination of faults. The method of the present invention can more accurately identify the development range of mud diapir, overcome the problem that mud diapir with weaker active energy is not sufficiently distinguishable from surrounding strata, geophysical characteristics are not obvious, and its development range is difficult to accurately identify, which is of great significance for optimizing the planning and design of new wells, improving the success rate of drilling, and increasing the discovery rate of oil and gas.

The invention discloses a power distribution tower cross arm bending inclination deformation defect image sample generation method, which utilizes a tower model and a panorama to construct a rendering scene, realizes diversified cross arm bending inclination deformation model generation through a bending model, and realizes image sample rendering through path tracking. And finally, converting the three-dimensional bounding box of the cross arm model which is bent, inclined and deformed to an image space to realize automatic generation of defect labeling box information. According to the method, a large number of high-simulation-degree power distribution tower cross arm bending inclination deformation image samples can be quickly and efficiently generated. A large number of training samples of the type of defects are provided for defect detection and recognition algorithm training, the discovery rate of the defect detection and recognition algorithm on the type of defects is improved, and the generalization performance of the defect detection and recognition algorithm is improved.

The invention provides a bus scheduling method and system based on limited edge camera equipment, and relates to the technical field of bus management, all buses are provided with bases for plugging the edge camera equipment, the total number of the edge camera equipment is smaller than the total number of the buses, and the limiting edge camera equipment is arranged on the bases. Comprising the following steps: S1, acquiring historical event information collected in the driving process of a bus through edge camera equipment; s2, acquiring an attention event preset by a user and a corresponding event attention degree; s3, according to the historical event information, the concerned event and the corresponding event concerning degree, carrying out weighted calculation on the concerned event; s4, establishing a track interaction diagram with the bus station as the y axis and the time as the x axis; s5, establishing a trajectory directed graph according to bus routes and route fitting weight values in the trajectory interaction graph; and S6, changing the carrying number of the edge camera devices of the buses in the bus scheduling table according to the trajectory directed graph, and generating a new bus scheduling table.

The invention discloses an intelligent water surface rescue device which comprises a ship body, an ejection system, a power system, an automatic cruise system and a recognition system, the ejection system comprises a driving motor, a spring connecting rod mechanism, a lifesaving device and the like, the power system comprises a motor, a propeller and a synchronous belt, and the automatic cruise system comprises a sensor and a development board. The identification system comprises an electronic circuit board and a camera. The automatic cruise ship is simple in structure and reasonable in design, whether large waves and water spots exist on the water surface or not is monitored through the automatic cruise system, the ship body is controlled by the power system to reach a monitored abnormal point position for face and action recognition, after recognition succeeds, a lifesaving device is ejected to a target person through the ejection system, and the lifesaving device can swim to the target; therefore, the safety of human life and property can be guaranteed.

The application discloses a kind of main and backup routing methods of node trust degree evaluation and interruption adaptation in robot group coordination, the method includes: source node initiates routing request broadcast, and available path from source node to destination node is obtained by adaptive broadcast forwarding strategy;Afterwards, destination node carries out routing reply according to reverse path transmission;If the routing establishment from source node to destination node is successful, then enter the routing decision module based on Q learning algorithm;If the routing decision result selects main routing transmission strategy, then destination node enters trust degree evaluation module, interruption adaptive credible path or no credible path transmission module;If the routing decision result selects backup DTN (Delay Tolerant Networks, time delay tolerance network) routing transmission strategy or routing establishment is not successful, then destination node enters Prophet routing module;Through the main and backup routing methods of node trust degree evaluation and interruption adaptation in robot group coordination provided by the application example, the robustness and robustness of data transmission are improved.

The application provides a power distribution line defect intelligent identification method and system based on visual multi-modal fusion, and belongs to the technical field of power distribution line defect identification; solves the problem of low defect discovery rate of existing unmanned aerial vehicle inspection; comprises the following steps: collecting pictures of infrared cameras and zoom cameras at different far and near focal lengths through an unmanned aerial vehicle; solving an affine matrix for each group of collected infrared images and RGB images, and obtaining an affine matrix for affine transformation of the RGB images to the infrared images; training all collected RGB images using a yolov5l target detection model; cutting the infrared and visible light spliced video stream captured by the unmanned aerial vehicle, then transmitting the visible light video stream to the trained yolov5l target detection model for detection, judging the detected target, if it is a component defect, directly marking in the image, if it is a component target, mapping to the infrared image through the affine matrix, and judging whether the component has a thermal defect; the application is applied to line defect identification.

According to the heterogeneous computing network resource abnormity monitoring and early warning method, unified modeling, unified acquisition processing and unified monitoring are carried out on heterogeneous computing network resources, so that mutual separation of monitoring systems can be avoided, root cause positioning can be assisted, abnormity checking efficiency can be improved, abnormity influence range deduction is carried out based on root causes and topology, and the method has the advantages of being high in practicability and the like. The method is favorable for defining the influence range of exception on tenant services, and comprises the following steps: step 1, carrying out unified collection and processing on heterogeneous resource monitoring data based on a unified monitoring model and an index processing rule; 2, monitoring index anomaly detection is carried out based on an index monitoring threshold value; 3, searching a multi-index anomaly joint detection rule, performing joint detection analysis on a single anomaly monitoring index in combination with the resource topology, and if a matching rule does not exist, directly outputting an anomaly index; 4, auditing resource topology, inferring an abnormal influence range and outputting an inference result; and step 5, performing unified abnormity early warning according to the inference result.

The invention relates to the technical field of heading machines, in particular to a heading machine floating seal auxiliary mounting device which comprises a base, a rotating table is fixedly mounted at the upper end of the base, a first adjusting mechanism is mounted at the upper end of the rotating table, and a third movable arm is rotatably mounted at the working end of the first adjusting mechanism; a rotating disc is rotationally installed at the front end of the third movable arm, and a clamping mechanism is installed at the front end of the rotating disc. And third adjusting mechanisms are installed at the left end and the right end of the third movable arm correspondingly, two sets of connecting rods which are symmetrically arranged are installed at the working ends of the third adjusting mechanisms, arc-shaped fixing clamps are fixedly connected to the front ends of the connecting rods, spring devices are fixedly installed on the connecting rods, and electromagnets are arranged between the multiple sets of connecting rods. The installation effect of the floating seal can be better, errors are smaller, error detection and secondary installation are achieved, errors are eliminated, damage to the floating seal is reduced, installation is more convenient and faster, and the installation is not affected by errors of sites, personnel and the like.

The invention belongs to the technical field of airborne PD radar detection, and particularly relates to an airborne PD radar small Doppler blind area false alarm and ground moving target suppression method, which adopts a small Doppler blind area to carry out target detection, identifies target attributes according to multi-dimensional information such as carrier height, ground speed, target speed, height, scattering characteristics and number of occupied range gates, and carries out target detection on the target according to multi-dimensional information such as carrier height, ground speed, target speed, height and scattering characteristics. According to the method, clutters and ground moving targets are identified, clutter false alarms and the ground moving targets are suppressed, tracks of needed targets are output, the discovery probability of slow moving targets in the air and targets near notches can be increased, and the air-to-air detection performance of airborne PD radar is ensured.

This invention discloses a method, equipment, and medium for testing the corrosion resistance of gas pipelines, relating to the field of pipeline corrosion resistance testing technology. The method includes the following steps: obtaining the zinc bath temperature during hot-dip galvanizing of the gas pipeline to obtain galvanizing temperature data, and screening samples for inspection based on the galvanizing temperature data; acquiring images of the sampled gas pipelines to obtain initial image data, and conducting corrosion resistance tests; acquiring images of the sampled gas pipelines after testing to obtain test image data, and performing image corrosion analysis processing to obtain corrosion image data; obtaining the corrosion area of ​​the gas pipeline to obtain the pipeline corrosion resistance test result. This invention addresses the problem that existing pipeline corrosion resistance testing technologies, when detecting the white rust area in salt spray tests on gas pipelines, cannot dynamically set thresholds based on the surface characteristics of the gas pipeline to accurately separate the white rust from the background in the image, resulting in inaccurate white rust area measurements and a low detection rate of defective products.

The present invention relates to the technical field of data compression, and in particular to a method and system for compressing and transmitting environmental data of a fire monitoring platform. The method comprises the steps of: performing revolving door compression on an environmental data curve, predicting subsequent data points based on previous data points during the compression process, obtaining the abnormalities of the data points and the predicted data points respectively, obtaining the dominance of the predicted data points in combination with the fitting errors of the data points and the fitting errors of the predicted data points, correcting the data points based on the dominance, continuing to perform revolving door compression based on the corrected data points, and sending the compression results to a fire monitoring platform so that the fire monitoring platform can perform fire management. The present invention realizes the correction of abnormal data points in the environmental data curve, reduces the degree of loss of environmental data, improves the compression efficiency of environmental data, and thereby improves the detection rate of fire hazards and the response speed of fire hazards.

The invention discloses an application updating processing method, an application store cloud and a readable storage medium. The method is applied to an application store cloud, and comprises the steps that the application store cloud receives related malicious information of a target application, and the related malicious information is obtained after the target application is detected as a malicious application by a target terminal device; the application store cloud judges whether the target application is subjected to hot update or whole package update of a non-application store channel according to the related malicious information; and if yes, the application store cloud pushes the related malicious information to other terminal devices installed with the target application for safety prompting. Through the above mode, the discovery rate of the application store cloud for malicious hot update behaviors is improved, and the timely prevention of other terminal devices for corresponding applications is improved.

The infrared and ultraviolet multi-spectrum composite imaging system comprises an infrared imaging channel, an ultraviolet imaging channel and electronic equipment, the two channels are installed on the two-dimensional rotary table in an optical axis parallel mode, and the electronic devices are distributed and installed around the two channels. The infrared imaging channel is combined with a color separation film and is provided with a short-wave infrared detector and a medium-wave infrared detector, so that short-wave and medium-wave area array detection is realized; the ultraviolet imaging channel utilizes a color separation film and is provided with a solar-blind ultraviolet detector and a medium-wave ultraviolet detector to realize solar-blind ultraviolet and medium-wave ultraviolet area array detection; radiation generated by a target enters the infrared and ultraviolet imaging channels at the same time, four-spectrum image data of the target are obtained through simultaneous imaging of the infrared and ultraviolet detectors, and the four-spectrum image data are converted into electric signals through the infrared and ultraviolet detectors and then output to electronic equipment to form digital images; and the two-dimensional turntable realizes continuous tracking detection of a moving target. According to the invention, multi-infrared and ultraviolet multi-spectrum composite detection is realized, and the target detection, classification and identification capabilities of the system are improved.

The invention provides a sea patrol and reconnaissance device based on cooperation of a wave glider and an amphibious unmanned aerial vehicle, and the device comprises the wave glider integrated with an unmanned aerial vehicle take-off, landing and charging platform, the wave glider is used for carrying out long-endurance patrol on the sea surface, and under the condition that an abnormal target is detected or an instruction of a shore-based command center is received, the unmanned aerial vehicle takes off, lands and charges the unmanned aerial vehicle; sending a control instruction; when the amphibious unmanned aerial vehicle is parked on the unmanned aerial vehicle take-off, landing and charging platform, the amphibious unmanned aerial vehicle is electrically connected with the unmanned aerial vehicle take-off, landing and charging platform for charging; when the amphibious unmanned aerial vehicle receives the control instruction, the amphibious unmanned aerial vehicle takes off from the wave glider to get close to the abnormal target, reconnaissance is conducted on the abnormal target, and reconnaissance data are transmitted back to the shore-based command center through the wave glider; and after reconnaissance is finished, the amphibious unmanned aerial vehicle returns to the unmanned aerial vehicle taking-off, landing and charging platform. According to the invention, the maritime detection capability is improved.

The technical problem this invention aims to solve is to provide an emergency rescue aerial signal generator based on a micro-drone. This signal generator effectively increases the probability of being spotted by rescued personnel, can be carried through security checks, and can broadcast GPS coordinates, effectively reducing the difficulty of rescue and location after discovery. The signal generator includes a drone body, a power and control compartment, and a payload compartment. The upper end of the payload compartment is detachably mounted at the lower end of the power and control compartment. The payload compartment is equipped with a radio broadcast chip and a high-intensity illumination device. Based on a micro-drone design, the light signal remains in the air for a longer period, greatly increasing the probability of being spotted by rescued personnel. The device mainly consists of a micro-drone and electronic components, can be carried on public transportation such as trains and airplanes through security checks, and broadcasts GPS coordinates via the radio broadcast chip, facilitating rescue and location.