30 results about "Individual based" patented technology

Systems, methods and non-transitory computer readable media for generating and operating artificial entities are provided. Some disclosed embodiments may involve receiving information related to a source individual; generating an artificial entity associated with the source individual based on the received information; receiving data reflecting an interaction with the artificial entity; and determining a manner for the artificial entity to respond to the interaction based on the collected information.

This application relates to the field of artificial intelligence and provides a method, apparatus, electronic device, and storage medium for optimizing the design of urban drainage systems. The method includes: constructing an objective function based on multiple decision variables and optimization objectives of the urban drainage system design; generating an initial population based on constraints and dividing the initial population into multiple subpopulations; iteratively executing the following steps until the iteration termination condition is met, and outputting the optimal solution: if in the convergent evolution stage, selecting the first parent individual from the subpopulation with the smallest convergence value, selecting the second parent individual from the current subpopulation, and generating the first new individual based on the first and second parent individuals; if in the diversity evolution stage, selecting the third parent individual from the diversity archive, selecting the fourth parent individual from the current subpopulation, and generating the second new individual based on the third and fourth parent individuals; and updating the current subpopulation. This application achieves a balance between convergence and diversity, improving optimization efficiency and quality.

Described herein are systems and methods that related to techniques for managing individual data (such as patient data). In examples, systems can be configured to obtain data associated with individual profiles; obtain data associated with individual samples indexed in accordance with a period of time; and for each individual, link one or more entries of the individual profile corresponding to the individual with individual samples corresponding to the individual based on the period of time and the profile for each individual. In some examples, the system can generate workflow profiles corresponding to each individual of the plurality of individuals based on linking the one or more entries of the individual profile with individual samples. The system can then de-identify the workflow profiles corresponding to each individual of the plurality of individuals to generate limited workflow profiles that are used to test one or more models in a development environment.

We provide the system. [Solution] A means for receiving communication data from multiple information devices and analyzing that communication data to identify each individual's interests and emotions, A means for generating multiple activity suggestions tailored to each individual's interests and emotions based on the analysis results, A means for transmitting the generated activity proposals to each information device and receiving responses to the activity proposals, A means of adjusting and deciding on the optimal activities among individuals based on their responses, Means for making reservations and transactions related to the decided activities, A system that includes means to analyze information related to meal planning and automate the selection of the optimal restaurant or delivery procedures.

The application discloses a pre-examination abnormal registration group detection method based on a community discovery algorithm. A graph structure for representing the association relationship between examinees is constructed, then the examinees are divided into communities or non-community individuals based on the graph structure, and then the graph structure is subjected to message passing to generate the embedded representation corresponding to the examinees, and whether there is a risk is predicted according to the embedded representation corresponding to the examinees, so as to determine the confidence degree corresponding to the examinees and the preset label, and then generate a risk score for the examinees. Then, the high-risk examinee characteristics are counted based on the risk score, so that the high-risk label marking and dyeing of the high-risk examinee nodes are performed, and the label propagation of the high-risk label in the graph structure is performed. Through the method, the risk characteristics can be counted, the risk label can be marked and propagated based on the graph structure, so that the examinee group that may have risks can be determined in a big data manner before the examination, and the efficiency and accuracy of the risk prediction of the examinees before the examination are improved.

The present application relates to the technical field of intelligent conference, in particular to a conference interaction method and computer program product based on personal intelligent agent, comprising sending conference basic data and personal intelligent agent participation request to a person who intends to participate in the conference; receiving participation feedback of the person who intends to participate in the conference in response to the personal intelligent agent participation request; according to the participation feedback, organizing the personal intelligent agent to conduct virtual conference according to the conference basic data, obtaining intelligent agent conference record; sending the intelligent agent conference record to all participating personal intelligent agent corresponding participating persons, so that the participating persons modify and confirm; receiving the modification data of the personal intelligent agent speech sent by the participating persons; calling AI to adjust the intelligent agent conference record according to the modification data, generating conference summary; sending the conference summary to all participating persons for confirmation. The problem of how to balance the demand of the participating person for the right to participate in the conference and the right to participate in the conference of the personal intelligent agent is better solved.

The invention discloses a method, a device, equipment, a medium and a product for identifying the co-space-time risk of a migrant bird, and relates to the field of migration tracking analysis, and the method comprises the steps: employing a taxonomy information retrieval database platform to obtain migrant bird tracking data; the taxonomy information comprises an objective, a subject, a genus, a species and a common name; performing visual analysis on the motion trail of each individual based on the migrant bird tracking data to obtain individuals suitable for clustering and individuals not suitable for clustering; on the basis of the individuals suitable for clustering, according to parameters of different migrant bird species, utilizing a T-DBSCAN algorithm to identify intermittent place information; determining the stay duration of each region according to the region boundary based on individuals not suitable for clustering; according to the stop place information or the stop duration of each area, determining the common space-time condition of different migrant bird species; determining space-time co-occurrence characteristics according to the space-time co-occurrence conditions; the space-time co-occurrence characteristics are used for determining the space-time co-occurrence risk of the migrant birds According to the invention, the time-space sharing risk can be accurately identified.

The present disclosure includes systems and methods for posture control of cloud environments. Various embodiments include scanning a cloud environment for posture control data; identifying configurations associated with one or more resources in the cloud environment; generating one or more alerts related to the one or more resources based on the configurations; and assigning the one or more alerts to one or more individuals. The one or more alerts can then be sent to the one or more individuals based on the assigning.

A method for determining a finite impulse response filter, including generation of a plurality of individuals presenting configuration parameters, and cyclic implementation of the following operations in relation to each current population of configuration parameters: evaluation by an objective function of each individual, evaluation by at least one constraint function of each individual, selection of a group of individuals among all the individuals based on their evaluations by the objective function and the constraint function and formation of parent individuals, crossover of parent individuals to form a new population, mutation of individuals in the new population, and verification of a stopping criterion.

The invention provides a PMU multi-working-condition test sequence automatic scheduling method and system, and relates to the technical field of power system automatic testing, and the method comprises the steps: collecting working condition data, constructing a working condition vector, initializing a priority sequence corresponding to each working condition, and generating a task sequence based on the priority sequence; analyzing a hysteresis phenomenon during working condition switching based on the task sequence, constructing a hysteresis significant factor, and obtaining the task sequence; analyzing an error nonlinear cumulative effect of a working condition based on the hysteresis significant factor, and constructing an error cumulative factor; analyzing the risk degree of dung beetle individuals falling into a local optimal solution based on the hysteresis significant factors and the error accumulation factors, and constructing dynamic factors; and updating a priority sequence of the dung beetle individuals based on the dynamic factors, and reordering to obtain an optimal task sequence to realize automatic scheduling. According to the invention, unplanned interruption caused by temperature drift is effectively avoided, and the detection efficiency is improved.

This invention provides a method, electronic device, and storage medium for determining a cigarette filter rod production plan. The method includes: determining initial leading individuals based on a first evaluation result of simulated production of each initial individual in an initial population; updating the initial population to obtain a offspring population; determining offspring leading individuals based on a second evaluation result of simulated production of each offspring individual in the offspring population; adjusting the offspring individuals according to an adjustment strategy, and determining new offspring leading individuals based on a third evaluation result obtained from simulated production of the adjusted offspring individuals; determining a target leading individual based on the initial leading individuals and the offspring leading individuals; and determining a new initial population and initial leading individuals based on the initial population and the offspring population if the termination condition is not met. This invention can quickly generate multiple high-quality production plans adapted to different needs, improving production efficiency. It also provides an electronic device and a computer-readable storage medium for executing the above method.

In some implementations, a device may obtain interaction data for an evaluator in a communication session with an individual based on interactions of the evaluator with the individual during the communication session, wherein the evaluator is to provide the evaluation of the individual. The device may obtain evaluation information identifying the evaluation of the individual by the evaluator. The device may determine a degree of bias of the evaluator toward the individual during the communication session based on at least the interaction data. The device may adjust the evaluation of the individual based on the degree of bias of the evaluator.

According to the present invention, a multilateral automatic matching method, based on the portfolio of an individual creator, which is performed by an electronic device, comprises the steps of: acquiring, from a first user terminal of a creator, profile information, history information, portfolio information, platform behavior log information, and networking information about the creator; by using a first artificial intelligence model, acquiring feature information about each of one or more contents created by the creator and creation style information about the creator included in the portfolio information; by using a second artificial intelligence model, providing a plurality of surveys for analyzing the personality of the creator to the first user terminal and receiving a survey response for each of the plurality of surveys from the first user terminal; on the basis of the result of analyzing the received survey response by using the second artificial intelligence model, calculating a score for each of a plurality of personality elements that represent the personality of the creator; generating personality information about the creator on the basis of the score for each of the plurality of personality elements; associating the feature information about each content of the creator, the creation style information, the platform behavior log information, the networking information, and the personality information about the creator with the profile information and storing same in a database of the electronic device; on the basis of the feature information, the creation style information, the platform behavior log information, the networking information, and the personality information, determining, as recommendation information, at least one of recruitment information, a company, a project, a friend, or a mentor that matches the creator; providing the determined recommendation information to the first user terminal; and on the basis of the result of analyzing the survey response and feedback information about the recommendation information, updating a personality element list including the plurality of personality elements that represent the personality.

The application discloses an open environment-oriented radiation source individual identification method and belongs to the technical field of radiation source individual identification. The method comprises the following steps: collecting source domain data samples, setting real classification labels of the samples, collecting target domain data samples, wherein the categories of part of the data samples of the target domain data belong to source domain shared categories, training a radiation source individual identification model based on the source domain and the target domain data sets, collecting signal data of a target radiation source individual, and obtaining the category of the target radiation source individual based on the radiation source individual identification model. The application is based on aligning the source domain signal and the target domain signal in a feature space, maximizing the category distance, and relieving the feature confusion between categories caused by cross-channel. Meanwhile, a multi-pair classifier is used to construct the classification boundary of unknown categories and known categories. The application simultaneously solves the feature confusion caused by cross-channel and the model untrustworthiness problem caused by unknown categories in an open environment.

This application relates to the field of accelerometer calibration, and more particularly to an accelerometer calibration method, apparatus, and related equipment. The method includes: constructing a population comprising multiple individuals based on multiple parameters of the accelerometer to be calibrated; determining the current diversity value of the current population based on the current fitness value of each current individual in the current population during the current evolutionary process of the population's iterative evolution; determining the current evolutionary strategy of the current population based on the current diversity value; controlling the current population to evolve based on the current evolutionary strategy to obtain a target population; if the target population meets the termination condition of population evolution, determining the calibration values ​​of multiple parameters based on the candidate values ​​carried by the target individuals in the target population. This application can solve the technical problem that the accuracy of the determined mathematical mapping relationship of the accelerometer is low due to the problem that traditional genetic algorithms are prone to getting trapped in local optima.

Described herein are systems and methods that related to techniques for managing individual data (such as patient data). In examples, systems can be configured to obtain data associated with individual profiles; obtain data associated with individual samples indexed in accordance with a period of time; and for each individual, link one or more entries of the individual profile corresponding to the individual with individual samples corresponding to the individual based on the period of time and the profile for each individual. In some examples, the system can generate workflow profiles corresponding to each individual of the plurality of individuals based on linking the one or more entries of the individual profile with individual samples. The system can then de-identify the workflow profiles corresponding to each individual of the plurality of individuals to generate limited workflow profiles that are used to test one or more models in a development environment.

A method (400) includes receiving personal attribute data (110) characterizing one or more personal attributes of a particular person (202), obtaining an identity of the particular person (206), extracting a reference vector for the particular person from the personal attribute data (204), and generating a reference vector for the particular person (202) based on the extracted reference vector. And storing the reference vector for the particular individual and the identity of the particular individual in an identifiable individual data repository (200). The method further includes receiving additional personal attribute data characterizing one or more personal attributes of an unrecognizable individual (104), and performing personal identification on the additional personal attribute data to identify the unrecognizable individual by extracting an evaluation vector (312) for the unrecognizable individual, and identifying the unrecognizable individual as the particular individual based on determining that the evaluation vector matches the reference vector. The method also includes presenting an identification cue (120) that communicates the identity of the unrecognizable individual as the particular individual.

A computer system for generating a virtual reality replicant persona for interaction with a user is disclosed. The computer system includes at least one processor programmed to: (i) receive a plurality of data about an individual from a plurality of sources; (ii) generate a replicant persona of the individual based upon the plurality of data including mannerisms, appearance, personality, historical information, and conversational talking points of the individual; (iii) receive a request from the user requesting an interaction with the replicant persona; (iv) generate an individual avatar based upon the replicant persona to be presented to the user within a virtual reality environment; (v) build a user profile during the interaction within the virtual reality environment by detecting personality traits and mannerisms of the user; and (vi) generate an updated replicant persona of the individual by incorporating the user profile into the replicant persona to generate an updated individual avatar.

A system for low-latency state detection using gradient boosting. The system determines correlations between characteristics at certain locations and a target state. Using one or more locations determined to have a causal relation with the state, the system trains a gradient boosting-based model configured to accept, for input, a variant count for each of the one or more determined locations and output a confidence score indicating whether the first individual has the state. The system generates clusters for individuals based on impact features indicating an impact of the variant count on the confidence score. The clusters are associated with a manifestation of the state. The system can execute the machine learning model against a candidate individual to determine if they have the state, and in response to the state exceeding a threshold, determine the impact features to associate the individual with a cluster and determine likely manifestations of the state.

The application relates to a multi-agent control strategy optimization method for multi-population multi-stage constraint multi-objective based on reinforcement learning, which comprises the following steps: generating a population matrix; generating optimal population sizes of various populations; screening parent individuals of an exploratory operator and a development operator from the population, and generating evolutionary offspring individuals; performing preliminary screening of the offspring individuals based on the parent individuals; judging the convergence state of the population according to the total sum difference of objective function values of adjacent two generations of individuals in the population and the number of non-dominated solutions in the population, so as to trigger the switching of the constraint processing mode; screening the offspring individuals and the parent individuals, updating various populations; if the iteration number reaches the maximum iteration number, outputting an external population, and obtaining an optimal strategy of current multi-agent control based on the external population; otherwise, increasing the iteration number by 1 and performing action selection. Compared with the prior art, the application can give an approximate optimal unmanned aerial vehicle three-dimensional deployment scheme, a device transmission power scheme and a computing resource allocation strategy.

(EN) The method of the invention provides a protection rate (txP2) representative of the risk of re-identification of data. In the case of a distance-based correspondence-seeking attack, the method comprises the steps of: a) linking an original dataset (EDO) comprising a plurality of original individuals (IO) with an anonymised dataset (EDA) comprising a plurality of anonymised individuals (IA); b) transforming (PCA, MCA, FAMD) the original individuals and the anonymous individuals in a Euclidean space; c) identifying for each original individual, one or more nearest anonymous individuals based on a distance, by a method referred to as the “k-NN” method; and d) calculating the protection rate, being a mean number (Nm) of anonymous individuals, nearest to a considered original individual (IOi), who are not a valid anonymous individual corresponding to the original individual considered, the nearest anonymous individuals being those identified in step c) and having a distance (dy) relative to the considered original individual less than the distance between the considered original individual and the valid anonymous individual.

This invention provides a population optimization method, system, equipment, and medium based on watershed hydropower complementarity, belonging to the fields of intelligent optimization and computer applications. It includes: obtaining adjustment parameters for the current iteration step; obtaining the original position and fitness of each individual in the current population; calculating rainfall intensity and infiltration capacity; calculating the actual infiltration and surface runoff of each individual; determining the runoff generation pattern of the current individual based on the comparison between the actual infiltration and rainfall intensity, and updating the position of the current individual; performing boundary processing on the updated position to obtain a corrected position; updating the positions of individuals in the current population to obtain an updated population; sorting by fitness; and determining whether a preset termination condition is met; if met, outputting the optimal solution based on the sorting result. This invention introduces the watershed hydropower complementarity mechanism into the population evolution process, which helps coordinate global exploration and local development, improving the accuracy and stability of solving complex optimization problems.

The invention discloses a waveform generation method and system for non-intrusive load identification performance evaluation. The method comprises the following steps: selecting original equipment waveforms of M pieces of equipment from an original equipment waveform library; multiple waveform indexes influencing non-intrusive load identification are determined; constructing a deviation degree between a plurality of waveform indexes and an expected value as an optimization objective function; a waveform test case formed by waveform control parameters including M devices is used as an individual of a genetic algorithm for coding, and an optimization objective function is negatively taken and then is used as a fitness function of the genetic algorithm. And generating an optimal waveform test case required by non-intrusive load identification performance evaluation according to the original device waveforms of the selected M devices by adopting a genetic algorithm. The method aims at non-intrusive load identification performance evaluation, the test case quality is converted into an optimizable mathematical problem, and waveform test cases with representativeness and diversity are efficiently and automatically generated.

The invention relates to a design method and device of a composite wave-absorbing material based on a genetic algorithm, and relates to the technical field of optimization design of composite wave-absorbing materials. The method comprises the following steps: randomly generating an initial population; calculating the reflectivity of each individual in the initial population at each frequency point in a specified frequency band; determining a first weight factor corresponding to each individual according to the degree of deviation between the total thickness of the multi-layer structure of each individual and the total thickness threshold interval; calculating the fitness of each individual according to the difference between the reflectivity and the target reflectivity and the first weight factor; selecting individuals from the initial population according to the fitness, and performing crossover and mutation operation on the selected individuals to generate a next-generation population; and performing fitness calculation, individual selection, crossover and mutation operation on the next-generation population until a termination condition is met, and further determining a design scheme of the composite wave-absorbing material. Through the method, the calculation efficiency of the design method of the composite wave-absorbing material can be improved, and the design effect is improved.

An object of a system according to an embodiment is to analyze daily behavior and conversation data of an individual and suggest an optimal course and directionality to the individual.SOLUTION: A system includes a collection part, an analysis part, an understanding part, a suggestion part, and a protection part. The collection unit collects daily behavior and conversation of an individual. The analysis unit analyzes the data collected by the collection unit. The understanding unit understands personal preferences and thought patterns based on the data analyzed by the analysis unit. The suggestion unit suggests a course or directionality to the individual based on the information obtained by the understanding unit. The protection unit anonymizes or encrypts data.SELECTED DRAWING: Figure 1

One or more genetic family trees are formed that connect a plurality of individuals based on measures of genetic relatedness between the individuals. A plurality of the individuals are grouped into a cluster that comprises those individuals who are genetically related to (1) a target individual according to first data and (2) each other according to second data. The first data comprises genetic relatedness measures for a plurality of the individuals relative to the target individual, and the second data comprises genetic relatedness measures between a plurality of the individuals. The cluster is deconstructed into a tree structure based on the first data, and family tree(s) are iteratively formed based on pairs of adjacent nodes from the tree structure until the nodes are positioned in family tree(s) based on the second data. The family tree(s) can be connected to the target individual based on the first data.

The invention relates to a matching method, an information processing apparatus, and a program. A matching method is a matching method executed by an information processing device, and the matching method comprises the following steps: obtaining personal information of a customer; obtaining characteristic information of the employees; determining the integrating degree of the customer and each employee based on personal information and the characteristic information; and determining an employee to receive the customer based on the determination result.

This invention relates to a tugboat scheduling method under uncertain environments, comprising: S1: constructing an objective function based on departure fuel cost, return fuel cost, and task delay cost; S2: randomly generating N initial solutions of the objective function model as individuals; S3: calculating the objective function value corresponding to each individual; S4: setting visibility weights for each individual based on the objective function value; S5: obtaining new individuals by learning or information sharing among the individuals based on their visibility; S6: determining whether the current iteration count has reached the preset maximum iteration count; if not, repeating steps S3 to S4. The tugboat scheduling method under uncertain environments of this invention can comprehensively consider various uncertain factors and has the advantages of accurate and efficient planning.