16 results about "Individual analysis" patented technology

A federated learning system includes a client terminals having a learning data set and a server. The learning data set includes a data sample including a client ID, a first explanatory variable, and a first objective variable. A calculation process is executed by the client terminal, and a first federated learning process is executed which repeats a first training process by the client terminal and a first integration process by the server. In the calculation process, the data sample is input to a similarity calculation model to calculate similarity between the data sample and learning data sets. In the first training process, the client terminal trains an individual analysis model on the basis of a specific similarity with a specific learning data set, and in the first integration process, the server integrates first training results from the client terminals to generate first integration information regarding an integrated individual analysis model.

The invention discloses a water and soil loss dynamic monitoring method and system, and relates to the technical field of water and soil loss monitoring. Comprising a data acquisition module, a data processing module, a data analysis module, a risk assessment module and a loss analysis module. The data acquisition module is used for acquiring remote sensing image data, DEM image data, geological data and future rainfall data of a monitoring area. Then numbering the divided areas, then performing independent analysis, and evaluating the water and soil loss conditions of the numbered areas, so that related technicians can conveniently know the water and soil loss conditions of the monitored areas and conveniently analyze the interference of land use types on the water and soil loss; therefore, related technicians can conveniently formulate related water and soil loss treatment schemes, the use effect is good, and good application prospects are achieved.

Disclosed herein are methods, non-transitory computer readable media, systems, and kits for performing an intra-individual analysis for determining presence or absence of a health condition in an individual. Specifically, the intra-individual analysis involves combining sequence information from target nucleic acids with sequence information from reference nucleic acids obtained from the individual. The target nucleic acids include signatures that may be informative for determining presence or absence of the health condition and the reference nucleic acids include baseline biological signatures of the individual. By combining sequence information from the target nucleic acids and the reference nucleic acids, the resulting generated signal is more informative for determining presence or absence of the health condition in comparison to sequence information of the target nucleic acids alone.

The present invention provides a dual-processing-based individual analysis device and method using artificial intelligence, and a smart farm monitoring system using the same. [Solution] The method in the smart farm monitoring system 10 includes the steps of collecting target data including video data and sensing data linked to the individual being monitored using an edge device 200, performing an initial analysis using the edge device to input the target data into a first model based on pre-trained artificial intelligence and outputting first analysis data linked to the individual's behavioral patterns, and transmitting the first analysis data and the target data to a main server when the first analysis data meets pre-set detailed analysis conditions.

Disclosed herein are methods, non-transitory computer readable media, systems, and kits for performing a multiple tiered analysis for identifying individuals with a health condition for monitoring, treating, and / or enrolling the individuals in a clinical trial. Specifically, the multiple tiered analysis involves a first screen, which eliminates a large proportion of individuals who are identified as not at risk for a health condition, and a subsequent second analysis which detects presence of a health condition in the remaining individuals. The second analysis includes an intra-individual analysis, which involves combining sequence information from target nucleic acids and reference nucleic acids obtained from the individual. The target nucleic acids include signatures that may be informative for determining presence or absence of the health condition and the reference nucleic acids include baseline biological signatures of the individual. Altogether, the multiple tiered analysis achieves improved performance and accurate identification of individuals with the health condition.

The present application relates to a kind of pronghorn identification system, method, processing device and storage medium based on video tracking, the system includes: data input interface, for receiving the video or image data stream from one or more camera equipment;Data type judging module is used to judge the data type of video or image data stream based on the meta information of video or image data stream;Refinement individual analysis channel is used to accurately track the individual of pronghorn in video or image data stream, trajectory optimization and behavior analysis are carried out to near view data, and the refinement individual analysis result of pronghorn is obtained;Macroscopic group analysis channel is used to carry out population statistics and rhythm analysis to long-range or aerial data in video or image data stream, and the macroscopic group analysis result of pronghorn is obtained;Data output interface is used to output the refinement individual analysis result and macroscopic group analysis result of pronghorn, the present application can be widely applied in computer vision and intelligent monitoring technical field.

The present invention discloses a method for detecting mobile genetic elements based on whole-genome data. The method uses an MGE feature sequence extraction algorithm to obtain the feature sequences of mobile genetic elements, and obtains a predicted set and a result set of mobile genetic elements through the blast tool. The whole-genome sequencing technology is used to perform individual analysis and determination of the complete gene sequence information of bacteria with unknown genomic sequences, effectively solving the problem that the mobile genetic element database cannot be updated in time, resulting in the inability to detect all mobile genetic elements. Furthermore, the detection rate of mobile elements is improved, and a unified format is provided for the naming of the mobile genetic element database to prevent the same mobile genetic element from being misidentified as different mobile genetic elements.

This invention provides an individual analysis device and method using an artificial intelligence-based dual-processing platform, as well as a smart farm monitoring system using the same. [Solution] The method in the smart farm monitoring system 10 includes the steps of: collecting target data, including video data and sensing data linked to the individual being monitored, using an edge device 200; performing an initial analysis using the edge device, inputting the target data into a first model of a pre-trained artificial intelligence platform to output first analysis data linked to the individual's behavioral patterns; and transmitting the first analysis data and target data to the main server when the first analysis data satisfies pre-set detailed analysis conditions.

We provide the system. [Solution] In an information processing device, means for activating multiple knowledge processing devices specialized in each specialized field, The aforementioned knowledge processing device has means for accumulating the results of individual analyses, A means by which knowledge processing devices consult with each other based on the aforementioned analysis results and make a final decision, A means of collecting user input data from a terminal and sending it to a database in an organized format, A means of displaying the received analysis results on the user's information terminal, A system that includes this.

The present invention discloses a module applied to the Internet of Things and its control method, which monitors the heartbeat signal and, aiming at the indication of heartbeat signal delay, performs batch monitoring through cluster analysis to detect abnormal data, thereby locating abnormal Internet of Things terminals. The method of batch monitoring through cluster analysis can avoid the need for individual analysis of each Internet of Things terminal in the case of a large number of Internet of Things terminals, thus reducing the computational overhead. At the same time, there is no need for physical isolation, reducing the cost.

Disclosed herein are methods, non-transitory computer readable media, systems, and kits for performing a multiple tiered analysis for identifying individuals with a health condition for monitoring, treating, and / or enrolling the individuals in a clinical trial. Specifically, the multiple tiered analysis involves a first screen, which eliminates a large proportion of individuals who are identified as not at risk for a health condition, and a subsequent second analysis which detects presence of a health condition in the remaining individuals. The second analysis includes an intra-individual analysis, which involves combining sequence information from target nucleic acids and reference nucleic acids obtained from the individual. The target nucleic acids include signatures that may be informative for determining presence or absence of the health condition and the reference nucleic acids include baseline biological signatures of the individual. Altogether, the multiple tiered analysis achieves improved performance and accurate identification of individuals with the health condition.

Disclosed herein are methods, non-transitory computer readable media, systems, and kits for performing a multiple tiered analysis for identifying individuals with a health condition for monitoring, treating, and / or enrolling the individuals in a clinical trial. Specifically, the multiple tiered analysis involves a first screen, which eliminates a large proportion of individuals who are identified as not at risk for a health condition, and a subsequent second analysis which detects presence of a health condition in the remaining individuals. The second analysis includes an intra-individual analysis, which involves combining sequence information from target nucleic acids and reference nucleic acids obtained from the individual. The target nucleic acids include signatures that may be informative for determining presence or absence of the health condition and the reference nucleic acids include baseline biological signatures of the individual. Altogether, the multiple tiered analysis achieves improved performance and accurate identification of individuals with the health condition.

Disclosed herein are methods, non-transitory computer readable media, systems, and kits for performing a multiple tiered analysis for identifying individuals with a health condition for monitoring, treating, and / or enrolling the individuals in a clinical trial. Specifically, the multiple tiered analysis involves a first screen, which eliminates a large proportion of individuals who are identified as not at risk for a health condition, and a subsequent second analysis which detects presence of a health condition in the remaining individuals. The second analysis includes an intra-individual analysis, which involves combining sequence information from target nucleic acids and reference nucleic acids obtained from the individual. The target nucleic acids include signatures that may be informative for determining presence or absence of the health condition and the reference nucleic acids include baseline biological signatures of the individual. Altogether, the multiple tiered analysis achieves improved performance and accurate identification of individuals with the health condition.

The invention discloses a special child dangerous behavior early warning system based on artificial intelligence. The system comprises a data acquisition module, a data optimization module, a dangerous behavior early warning model establishment module, an early warning model parameter optimization module and a dangerous behavior intelligent early warning module. The invention relates to the technical field of behavior data processing, in particular to a special child dangerous behavior early warning system based on artificial intelligence, which innovatively combines child behavior recognition with behavior scene understanding, introduces an individualized analysis mechanism, and effectively improves the comprehensiveness, accuracy and robustness of dangerous behavior recognition. A child behavior time sequence attention recognition network combining a multi-level residual dense block, a double-branch attention mechanism and a feature step-by-step guide fusion strategy is designed, the accuracy and stability of action recognition are improved, and the accuracy of dangerous behavior recognition is improved; and an improved swarm intelligent optimization algorithm of a multi-branch exploration updating strategy is introduced, so that the recognition accuracy of the dangerous behavior early warning model is improved.

The invention relates to the technical field of data integration analysis, in particular to an intelligent data collection and analysis method and device, equipment and a storage medium, and the method comprises the steps: recognizing a data type after obtaining basic data of collection equipment, and then obtaining a corresponding monomer analysis result from historical analysis data; the method comprises the following steps: retrieving in a network information base by taking target data as a keyword to obtain original pairing information, further screening out adaptive information by determining associated information and auxiliary information and calculating an information proportion value, and then integrating the adaptive information based on a processing method of a single analysis result of the target data to form an information combination; further analyzing information components in the auxiliary information, calculating a set proportion value and the like to determine derivative data of the processing method, and finally performing real-time acquisition on the corresponding derivative data by taking the processing method of the target data as a data instruction, so as to guarantee the data timeliness and effectiveness of subsequent analysis and improve the accuracy of data processing. And the working efficiency of data processing is further improved.

The invention discloses an adjustable two-dimensional beam scanning element grating leaky-wave antenna and an analytic solution method, and belongs to the technical field of leaky-wave antennae, the antenna comprises an upper element light layer structure and a lower element light layer structure, an embedded liquid crystal is integrated in the lower element light layer, and a variable capacitance diode array is embedded in the upper element light layer. The analytic solution method comprises the following steps: S1, independently carrying out electromagnetic characteristic analysis on each element grating element, and decomposing a wave field into discrete space harmonics; s2, calculating and modeling adjustability provided by the embedded liquid crystal and the variable capacitance diode array; s3, integrating each individual analysis result into a complete multilayer electromagnetic model; and S4, verifying the analysis solution. According to the invention, scanning in two radiation directions of a horizontal plane and a vertical plane can be realized, the efficiency of a communication link in a complex urban environment can be improved by adaptively adjusting the beam direction, and the method is of great significance for realizing performance targets of high data rate, low delay, connection of a large number of devices and the like.