16 results about "Source determination" patented technology

This application provides a dialing test source determining method and apparatus, and a computing device cluster. In embodiments, the method is applied to a cloud management platform, and includes: providing a configuration interface, where the configuration interface is configured to obtain a dialing test instruction that is set by a user, and the dialing test instruction includes a target service on which a dialing test is to be performed; obtaining, from a database, a set of services that have called the target service, where the database includes a call relationship between multiple services including the target service; and determining a dialing test source based on at least one server corresponding to the set of services that have called the target service, where a server on which a service in the service set is deployed belongs to at least one network segment, and the at least one server also belongs to the at least one network segment. In conclusion, only the service on which the dialing test is to be performed needs to be manually configured, and the cloud management platform automatically determines the dialing test source based on the service call relationship, and does not need to configure the dialing test source. This reduces complexity of dialing test source configuration.

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.

The present disclosure provides a deep space exploration microwave load interference source determination method, device, equipment and medium, the method comprising: calculating the time domain correlation coefficient between the microwave signals received by different polarization antennas at the same time; calculating the frequency domain correlation coefficient between the microwave signals received by different polarization antennas at the same frequency point; calculating the cross-correlation coefficient between the microwave signals received by the same polarization antenna at different times; determining the source and frequency of the interference signal according to the time domain correlation coefficient and / or the frequency domain correlation coefficient and / or the cross-correlation coefficient. This method can realize intuitive and reliable analysis of microwave interference sources, solving the technical problem of determining the interference source due to complex interference conditions.

The embodiment of the present specification belongs to the field of numerical simulation, and particularly relates to a first collision source determination method and device for shielding calculation, which comprises the following steps: obtaining information of a source term of a particle and information of a preset first collision point of the particle, wherein the preset first collision point represents a position where the particle collides with a material for the first time in a transport process; determining one or more geometric body models for representing a region passed through by the particle when the particle reaches the preset first collision point; calculating a passing distance of the particle in each of the geometric body models, and determining a first collision source corresponding to the preset first collision point according to the passing distance and material information corresponding to each of the geometric body models. The embodiment of the present specification solves the problem of high calculation cost of the first collision source in the existing simulation calculation.

The invention relates to the technical field of pollution supervision, in particular to an accurate pollution source supervision system based on the Internet of Things and big data. According to the system, through the whole-process design of constructing a prediction region concentration thermodynamic diagram, identifying a high-concentration clustering region, extracting key features, establishing space-time correlation mapping, screening candidate pollution source correlation points and determining time sequence causal intensity, the independent advantage and the collaborative advantage of logic progression are formed; a two-dimensional evaluation system of thermodynamic diagram clustering evidence credibility and monitoring point correlation evidence score credibility is introduced, the thermodynamic diagram clustering evidence credibility verifies the reliability of pollution source positioning through the matching degree of the space gravity center of a high-concentration clustering area and the concentration peak value, and the monitoring point correlation verification method strengthens data support through the linear correlation degree of a correlation verification monitoring point. And the two methods form a comprehensive credibility index through weighted fusion, so that the one-sidedness of a single evidence is avoided, and the scientificity and the anti-interference capability of pollution source judgment are remarkably improved through a space-data dual verification mechanism.

The invention provides a method for identifying rhizoma acori graminei and rhizoma acori graminei based on an MALDI-MSI technology, and relates to the technical field of pharmaceutical analysis. The method comprises the following steps: preparing a frozen slice and coating the surface of the frozen slice with a matrix; scanning the frozen section in a positive ion mode to acquire mass spectrum imaging data; and identifying the spatial distribution characteristics of the characteristic ions in the region of interest. According to the method, a DHB matrix is coated with a sublimation method for MALDI-MSI imaging, sample swelling and migration are avoided, and it is ensured that in-situ information is real; based on the distribution difference of characteristic ions from a cambium to a center column, pretreatment and reference substances are not needed, the problem that the grass-leaved sweetflag rhizome and the Tibetan acorus calamus are similar in form and difficult to identify is solved, and objective and visual base source judgment is achieved.

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 invention discloses an information source determination method and device, a storage medium and electronic equipment, and relates to the technical field of education, and the method comprises the steps: obtaining multi-modal initial data from a plurality of independent information systems, and generating a plurality of information units; determining structured information entities and information source fragments respectively corresponding to the plurality of information units, and constructing a multi-modal knowledge graph corresponding to the multi-modal initial data according to a multi-dimensional association relationship corresponding to the structured information entities and the information source fragments; traceability links corresponding to the multiple information units are generated according to the multi-dimensional incidence relation, and the traceability links are stored in the multi-modal knowledge graph; and calling a target tracing link corresponding to the target information unit, determining a target information source of the target information unit, and displaying the target information source to a user in at least one multimedia form. According to the invention, through constructing the multi-modal knowledge graph, accurate positioning and visual presentation of an information source are realized, and the credibility of a traceability result is improved.

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 heterogeneous well logging data processing method and device, and the method comprises the following steps: collecting well logging data of a target well hole; determining data screening conditions of different well logging data types according to depth index sources corresponding to the different well logging data types; the data screening conditions comprise a reference depth and a curve value mode; determining candidate well logging data according to the data screening conditions of the different well logging data types comprising the reference depth and the curve value mode; and determining target well logging data according to the candidate well logging data. By determining the data screening conditions of the different well logging data types, such as the reference depth and the curve value mode, and then determining the target well logging data from the candidate well logging data determined based on the data screening conditions, the efficiency and accuracy of well logging data screening can be improved.

The present disclosure provides a defect processing method, device, equipment, storage medium and program product, relates to the technical field of computers and data processing, and particularly relates to the technical field of software defect processing. The specific implementation scheme is as follows: for any target party in a plurality of parties, in response to a confirmation instruction for a target defect, a target source is determined according to a candidate source of the target defect, wherein the processing party of the target defect is the target party, the processing party of the target defect is obtained according to a code label of target code including the target defect; the candidate source is determined by the processing party processing the target defect; and in response to a modification operation of the processing party on the target defect, target party defect analysis data is determined.

The invention relates to a metabolic aging biological age assessment method and device based on an AIP index. The method comprises the following steps: carrying out source determination and preprocessing on metabolic syndrome related evaluation data; based on the preprocessed AIP index and other clinical indexes, adopting a machine learning PCA algorithm to construct a metabolic aging biological age (MS-BA) model; and calculating individual MS-BA according to the model, evaluating the health state in combination with the social age, and generating an intervention scheme. According to the method, an exclusive model is constructed for people with metabolic syndromes, and the metabolic aging degree is accurately reflected through quantitative calculation.

The application discloses a special robot cooperative auxiliary rescue control method for building fire fighting. In the real fire source determination process, the application introduces the features of the flame centroid displacement and the flame roughness, so that the problem that the mobile flame cannot be accurately recognized in the indoor environment is solved. In addition, a multi-sensor fusion recognition algorithm is adopted, so that the recognition misjudgment rate is greatly reduced. When the building fire fighting robots are dispatched, the number of the building fire fighting robots K is used to adjust the edge bar items of the fire source convex hull, so that more convenient and reasonable robot spraying station positions are realized. The application provides a complete, safe and fast emergency fire extinguishing scheme from discovering a suspected fire source, judging the authenticity and category of the fire source and dispatching the building fire fighting robots to extinguish the fire.

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.