51 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.

A computer-implemented method of determining one or more sets of features to predict the presence of a particular phenotypic characteristic comprises: (a) receiving patient data comprising, for each of a plurality of patients: a feature profile comprising a respective feature status for each of a plurality of features for that patient; and an indication of whether that patient expresses the particular phenotypic characteristic; (b) using a genetic algorithm to generate a plurality of generations of individuals, wherein each individual comprises a subset of the predetermined plurality of features, each generation of individuals generated based, at least in part, on a plurality of fitness scores, each fitness score corresponding to a respective individual in the previous generation, and parameterizing a predictive accuracy of the set of features, each fitness score being calculated based at least in part on the patient data; (c) repeating step (b) until it has been performed N times; (d) from the plurality of individuals generated in steps (b) and (c), selecting a subset of the individuals based on their fitness scores; (e) clustering the selected subset of individuals to generate a plurality of clusters of individuals, based on the similarity of their respective subsets of features; (f) from each cluster, identifying a respective characteristic feature set based on the frequency with which features appear in individuals in that cluster.

The invention relates to the technical field of multi-objective optimization, and discloses a multi-aircraft task allocation method and system based on collaborative multi-population optimization, and the method comprises the steps: obtaining the target coordinates of each flight task and the flight parameters of each aircraft; m populations are generated; any individual in any group corresponds to one task allocation strategy; setting iteration parameters for each population, and controlling iteration of each population; identifying an evolution rhythm state of each population; performing cross-population information exchange and population iterative optimization based on the evolution rhythm state; when a preset iteration termination condition is reached, obtaining a candidate solution of each population; and screening the comprehensive recommendation individuals based on the candidate solution of each population, and obtaining a corresponding task allocation strategy. According to the method, the multi-population collaborative optimization capability is improved, and a high-quality multi-aircraft task allocation strategy can be effectively generated.

A system for identifying connections between individuals based on relationships found in data. The system includes a database containing data records and fields and identifying individuals involved in each record. The database is provided to a computer which executes a machine learning algorithm configured to identify connections between the individuals based on clusters in the data contained in the database, where the machine learning algorithm provides output data identifying clusters of activity relationships, a group label for each cluster when known, and scores for each of the individuals for each of the clusters in which they appear. A communication system algorithm sends actionable communications to particular ones of the individuals based on the output data. Unsupervised learning may be used for initial system training, and supervised learning for ongoing training.

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.

A system providing self-service access to locked merchandise comprising: (a) providing a fixture that restricts access to the locked merchandise, wherein the fixture can automatically lock or unlock, allowing or restricting access to the locked merchandise; (b) providing a means of uniquely identifying an individual attempting to access the merchandise; (c) measuring a set of behaviors of the individual during any time the fixture is an open mode; (d) assessing whether the set of behaviors of the individual are suspicious or not relative to a set of suspicious event thresholds; (e) storing the individual and their set of behaviors as accessible records in at least one database; and (f) providing an algorithm which determines future access privileges of the individual to the enclosure based on a set of variables. Additionally, a system for maximizing sales of and minimizing theft of merchandise in a retail environment, the system comprising: (a) providing a merchandise fixture, wherein the merchandise fixture can allow or restrict access to the merchandise; (b) presenting a questionnaire to an individual; (c) providing a means of uniquely identifying the individual attempting to access the merchandise; and (d) allowing or restricting access to the merchandise based on the individual's responses to the questionnaire.

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.

A system for identifying connections between individuals based on relationships found in data. The system includes a database containing data records and fields and identifying individuals involved in each record. The database is provided to a computer which executes a machine learning algorithm configured to identify connections between the individuals based on clusters in the data contained in the database, where the machine learning algorithm provides output data identifying clusters of activity relationships, a group label for each cluster when known, and scores for each of the individuals for each of the clusters in which they appear. A communication system algorithm sends actionable communications to particular ones of the individuals based on the output data. Unsupervised learning may be used for initial system training, and supervised learning for ongoing training.

The invention discloses a resource scheduling method and computer equipment, and relates to the technical field of resource scheduling, and the method comprises the steps: forming an initial population through a path chain constructed by a task set and a node set, and calculating the final score of an individual based on the switching time information and load information of a task; dividing the initial population into a local development sub-population and a global exploration sub-population based on similarity values between different path chains; adjusting the proportion of the sub-populations based on the fitness improvement rate of the initial population; for the individuals in the current population, executing path exchange and random disturbance operation according to the visual range parameters of the sub-populations to which the individuals belong, and updating a path chain in the current population; and repeatedly executing the starting and subsequent steps of calculating the similarity value, and when a termination condition is met, taking the path chain with the highest final score in the current population as a target resource scheduling scheme. The technical problem of extensive resource scheduling in related technologies is solved, and the technical effect of improving the resource scheduling reliability is achieved.

The invention relates to a group behavior identification method based on a 3D human body skeleton. The method comprises the following steps: S1, obtaining training set data; s2, extracting a first feature vector of each independent individual based on the first skeleton sequence in combination with a backbone extraction network, and verifying a first individual classification result and a corresponding individual behavior labeling result; s3, splicing the first feature vectors of the independent individuals to obtain a first group feature, and processing the first group feature by adopting a self-attention-cross attention neural network to obtain a second group feature; s4, target features are extracted based on the second group features, a first group behavior classification result is obtained, and model parameters of the backbone extraction network are modified based on the difference between the first group behavior classification result and a corresponding group behavior labeling result; and S5, carrying out group behavior identification on the first skeleton sequence to be identified by utilizing the trained backbone extraction network, the first classification model, the second classification model and the first skeleton sequence to be identified. Compared with the prior art, the method has the advantages of reducing the training sample size level and the like.

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.

The embodiments of the disclosure provide a method for selecting a task network, a system and a method for determining actions based on sensing data. The method of the embodiments of the disclosure includes: mapping the sensing data into an input feature vector; feeding the input feature vector into a specific task network to generate an output feature vector via the specific task network, in which the specific task network is trained based on a plurality of first individuals and a plurality of second individuals, the first individuals belong to a first population, the second individuals belong to a second population, and the first individuals and the second individuals are evolved via a coevolution process; and determining an output action according to the output feature vector, and setting a second specific individual based on the output action, in which the second specific individual belongs to the second population.

The invention provides a dispatching method, device and equipment based on a genetic algorithm and a storage medium, and relates to the technical field of task scheduling. To-be-dispatched tasks, task starting and ending time, skills required by the tasks, to-be-dispatched employees, employee shift time and employee skills are input; based on a skill matching principle and a time matching principle, randomly allocating tasks to be dispatched to employees to be dispatched to obtain an initial population; calculating the fitness of the individual based on the distance matrix; wherein elements in the distance matrix represent passing duration between the task places, and the fitness and the total transition time are in a negative correlation relationship; and selecting parent individuals according to the fitness to carry out crossover operation to obtain a new population, returning to the step of calculating the fitness to carry out iterative operation, and when iteration is finished, converting current population information into dispatching information and outputting the dispatching information to a user terminal. According to the invention, not only can the adaptability of dispatching tasks and employees on time and skills be ensured, but also the labor efficiency can be 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.

Described herein is a method for fine-tuning a putter and manufacture thereof. More specifically, an application (App) that is utilised for static and dynamic data point analysis along with algorithms to best determine how attributes of a putter need to be set up to maximise consistency of a user's putter stroke and roll of the ball. A customised putter is tailored and manufactured for each individual based on the output data of the App and a fitting system of the putter is multi-adjustable therein.

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 proposes a multi-source data fusion method, apparatus, electronic device, and storage medium. The method includes: determining individual viewing data belonging to different individuals based on voiceprint data in family viewing data, and determining first feature data corresponding to each individual viewing data; determining individual internet access data belonging to different individuals based on user agent information in family internet access logs, and determining second feature data corresponding to each individual internet access data based on the business characteristics of the accessed applications or the website tags of the accessed links in each individual internet access data; determining individual viewing data and individual internet access data belonging to the same family member based on the first feature data and the second feature data of each individual internet access data; and fusing the individual viewing data and individual internet access data corresponding to each family member to generate behavioral data corresponding to each family member. This improves the accuracy of distinguishing behavioral data among family members.

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.

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.

This invention discloses a system parameter identification method integrating adaptive cooperative and elite-guided approaches, belonging to the field of system parameter identification. The method includes the following steps: establishing a system parameter identification model and determining the system parameters to be identified; acquiring a set of measurable operational variables of the system; randomly generating initial population individuals based on a reasonable range of the system parameters to be identified; performing a first-stage iterative update identification of the system parameters based on an adaptive cooperative strategy; performing a second-stage iterative update identification of the system parameters based on an elite-guided strategy; and using the system parameters at the end of the iteration as the final parameter identification result, thereby outputting the system parameter identification result. This invention effectively considers the combined influence of population diversity and population fitness, and can achieve rapid global convergence of the system parameter identification process while ensuring effective coverage of the parameter identification space by a small population size.

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.