6 results about "Source determination" patented technology

A method involving collecting a first geochemical data set for a first plurality of produced water samples; collecting a second plurality of produced water samples; performing geochemical analyses on the second plurality of produced water samples to form a second geochemical data set; and combining the first and second geochemical data sets into a database. The method further includes determining, by a subject matter expert, a water type for each produced water sample in the database and training a machine-learned model with the database to predict the water type of a produced water sample given its geochemical data. The method further includes collecting a third plurality of produced water samples, performing geochemical analysis on the third plurality of produced water samples, and determining, with the trained machine-learned model, the water type for each produced water sample in the third plurality of produced water samples using the third geochemical data set.

The application discloses a method and device for determining an attack source of an APT attack and electronic equipment. The method comprises: acquiring multi-source data corresponding to a plurality of attack events of a target network in a current period, wherein the attack event refers to a unit supporting independent detection in APT attack detection; determining target confidence degrees corresponding to the plurality of attack events based on the multi-source data corresponding to the plurality of attack events, wherein the target confidence degree is used to indicate the credibility of the corresponding attack event being an APT attack; screening a high-confidence attack event set from the plurality of attack events based on the target confidence degrees corresponding to the plurality of attack events; and determining the attack source of the APT attack based on the target confidence degrees corresponding to the plurality of high-confidence attack events included in the high-confidence attack event set. The application solves the technical problem of inaccurate determination of the attack source of the APT attack in the related art.

This application belongs to the field of radar reconnaissance technology and provides a single-source radiation determination method based on temporal information entropy. It first calculates the Time Difference of Arrival (TDOA) of all adjacent pulses, then sets a clustering threshold and a first-class cluster center, and uses a clustering algorithm to obtain multiple clusters based on the TDOA. Next, it reduces the number of clusters and removes invalid elements by merging and removing harmonics. The distribution probability of each TDOA is calculated based on the number of indices in the merged clusters after harmonic removal. The temporal information entropy is calculated based on the distribution probability of each TDOA. A set information entropy discrimination threshold is set; if the temporal information entropy does not exceed the threshold, the pre-sorted signal is considered to be composed of a single radiation source; otherwise, it is composed of multiple radiation sources. This method can accurately determine the composition of radiation source signals in the radar pre-sorting clustering results, avoiding further PRI main sorting processing of single-source signals and reducing redundant sorting calculations.

The present application belongs to the field of geological disaster identification, and relates to a mountainous area geological disaster hazard source identification method and system based on artificial intelligence, comprising: collecting multi-modal heterogeneous data related to geological disasters, and constructing a multi-modal heterogeneous attribute graph based on the multi-modal heterogeneous data; dividing the identification area into multiple sub-identification areas, and determining the heterogeneous meta path of the sub-identification area to obtain the meta path set and the path instance set of the identification area; processing the heterogeneous meta path in the meta path set through an adaptive path propagation operator to obtain the regional fusion features of the topographic grid nodes of each sub-identification area; performing adaptive weight optimization and hazard source determination based on the regional fusion features and historical disaster point labels to obtain the distribution of geological disaster hazard sources; breaking through the multi-modal heterogeneous data fusion bottleneck, constructing an intelligent identification method suitable for regional disaster patterns, and improving the accuracy and efficiency of mountainous area geological disaster hazard source identification.

The present application provides a multi-agent area exploration method and system based on tree crown shyness and a pollution source determination method, belonging to the technical field of multi-agent area coverage. The present application can establish an agent area exploration model according to a pollutant density distribution function, determine the direction of the next exploration of the agent using the agent area exploration model, determine the moving path of the agent, obtain the next exploration node of the agent, and achieve the purpose of adaptively determining the shyness space of the agent according to the concentration of the pollutant, thereby covering all areas of pollutant concentration detection. At the same time, based on the tree crown shyness mechanism, the agent can automatically adjust the shyness space according to the adjacent agent or the obstacle occupying space, avoid collision between the agent and the obstacle, realize automatic obstacle avoidance, and avoid path conflict and repetitive exploration.

The application discloses a genome penetration identification method fusing parent-specific SNPs and population allele frequencies, and relates to the technical field of bioinformatics and data processing. The method is based on the whole genome variation data of a parent population with a known source, uses the difference in population allele frequencies to screen parent-specific diagnostic SNP sites, and constructs a diagnostic SNP library. For the whole genome variation data of a sample to be measured, parent sources are determined in a preset sliding window through a physical path and a statistical path. On this basis, the double-path determination results are fused according to the decision rules of physical priority and loss completion, and the final determination results of each sliding window are obtained. Then, through continuous window merging and chromosome physical coordinate mapping, a phase block list and a visual karyotype map are output. The method is beneficial to improving the accuracy and robustness of parent source determination of chromosome segments.