129results about "Genetic models" patented technology

The invention belongs to the technical field of aero-engine performance testing, particularly relates to a physical constraint-based aero-engine state prediction model construction method and system, and aims to solve the problems of high calculation complexity and poor data quality of an existing physical information model. The method comprises the following steps: acquiring historical operation data of the aero-engine and a physical constraint rule set of engineering simplification; predicting performance parameters by adopting a deep learning model; constructing a total loss function formed by weighting a data loss item and a physical loss item to train the model; wherein the physical loss item is generated based on the deviation degree of the predicted performance parameter and the engineering simplified physical constraint rule set, and is used for replacing the complex partial differential equation constraint. According to the method, the engineering simplified physical rule is introduced, so that the calculation overhead of model training is remarkably reduced, the model is effectively guided to learn the characteristics conforming to the physical rule, and the accuracy and generalization ability of the prediction model are remarkably improved under the condition of limited data.

One embodiment of the invention discloses a method and device for optimizing network anti-virus indexes. The method comprises following steps: obtaining anti-virus indexes of terminals in a network, wherein the anti-virus index of each terminal in the network comprises at least one kind of information as follows: virus infection and anti-virus capability information; optimizing the anti-virus indexes of terminals in a network by means of the genetic algorithm to obtain the optimized anti-virus indexes of terminals in the network; obtaining the optimized network anti-virus indexes based on the optimized anti-virus indexes of terminals in the network. One embodiment of the invention also discloses a device for optimizing network anti-virus indexes.

We provide the system. [Solution] A means for storing and performing initial processing on communication information obtained from a data acquisition device, A detection means for analyzing the communication information and detecting anomalies, A means for generating and presenting a warning based on the detected anomaly, A self-learning method that improves the accuracy of analysis and detection using machine learning models, A means for visualizing the aforementioned communication information and warnings and for creating a report, A means of notifying mobile terminals when an anomaly is detected in the communication network, A system that includes this.

The system according to this embodiment aims to force users to perform muscle training by controlling the operation of home appliances. [Solution] The system according to the embodiment comprises a generating AI agent, a sensor, and a control unit. The generating AI agent is incorporated into home appliances and electrical products. The sensor counts the number of muscle training repetitions. The control unit controls the operation of the home appliance based on the number of muscle training repetitions counted by the sensor.

We provide the system. [Solution] Means for collecting and analyzing multilingual information, A means of designing a new standard representation using a generative algorithm, means for converting the multilingual information into the standardized expression and compressing it, A means for optimizing the predictive model using the transformed information, A means of performing bidirectional communication with the user using a predicted model, A means of presenting information translated in real time, A system that includes this.

The system according to this embodiment aims to automatically generate and provide optimal training programs tailored to the skill levels and goals of employees. [Solution] The system according to the embodiment comprises an analysis unit, a generation unit, and a monitoring unit. The analysis unit analyzes employees' historical data, current skill levels, and individual goals. The generation unit automatically generates and provides an optimal training program based on the analysis results obtained by the analysis unit. The monitoring unit monitors training progress in real time based on the training program generated by the generation unit and provides feedback and support.

Provided is a technique relating to codon optimization. A method for optimizing a nucleic acid sequence for expression of a protein in a host comprises: obtaining a protein subsequence-nucleic acid subsequence pair according to collected highly expressed protein sequences and encoding nucleic acid sequences thereof, so as to form a training set; using the training set to train a neural machine translation model, wherein the neural machine translation model is used to realize translation from an amino acid sequence to a codon sequence; cleaving the protein sequence requiring codon optimization into protein subsequences; using the trained neural machine translation model to translate the protein subsequences from amino acid sequences to codon sequences; and overlapping the translated subsequences, so as to combine same into a full-length codon sequence, wherein during overlapping to synthesize the codon sequence, the synonymous codon with the highest occurrence frequency or number is selected as the optimal codon for the position according to the frequency or the number of the synonymous codon corresponding to each amino acid position of the protein sequence.

The application discloses a layout planning method based on reinforcement learning and a genetic algorithm, and comprises the following steps: 1, generating an original population of the genetic algorithm through perturbation B*‑tree; 2, calculating the fitness of all individuals, and selecting an individual with the highest fitness value as the optimal individual in the population; 3, according to the probability, selecting whether to use a crossover operator in an iteration, if the crossover operator is selected, selecting two parent individuals from the population, and generating offspring individuals through the crossover; 4, according to the probability, selecting whether to use a mutation operator in the iteration, if the mutation operator is selected, selecting a parent individual from the population, and generating an offspring individual through the mutation; 5, optimizing the offspring individual by using a reinforcement learning intelligent agent, and then determining whether to replace the parent individual according to the fitness of the offspring individual; and 6, the iteration is ended, and the optimal individual is obtained. The application efficiently reduces the area and line length of layout planning.

We provide the system. [Solution] A means of receiving tasks entered by users, A means for analyzing the aforementioned problem and extracting requirements, A means for selecting the optimal combination from multiple artificial intelligence systems based on the aforementioned requirements, A means of integrating selected artificial intelligence systems to present solutions to users, A means of providing the aforementioned solution as information related to urban planning, A system that includes this.

We provide the system. [Solution] A means for receiving and integrating learner evaluation data, aptitude data, and survey data, A means of analyzing integrated data to identify learner characteristics, A means of suggesting career path options based on the characteristics of learners, A means of generating a study plan tailored to the desired career path, A method for automatically generating interview materials and question lists for educators, Means of notifying parents of career guidance, A system that includes this.

The invention relates to the technical field of black cattle breeding, and discloses a snowflake black cattle intelligent breeding method and system based on an animal model, and the method comprises the steps: collecting pedigree structure data and standardized phenotype data; calculating an additive genetic relationship matrix among snowflake black cattle individuals; establishing a quantitative genetics animal model, and outputting an individual additive genetic effect estimated value and calculating a predicted breeding value through the quantitative genetics animal model under the constraint of the additive genetic relationship matrix; extracting actual phenotype performance data in a subsequent time period; respectively carrying out individual descending sorting and sorting quantile division on the predicted breeding value and the actual phenotype performance data, and extracting a stability index of a target breeding quantile interval; and updating a fixed effect design matrix and variance component parameters of the quantitative genetics animal model, and re-outputting a predicted breeding value and a corresponding snowflake black cattle breeding decision. The stability and reliability of snowflake black cattle breeding are improved.

A supportive software-based “toolbox” for optimizing finite state machine (FSM)-modeled systems. The optimization may include defining a plurality of alternative models for the FSM-modeled system and iterating one or more of the domain alternative into iterated alternatives. The optimization may include generating a plurality of stateflow representations for the FSM-modeled system according to the iterated alternatives, and based thereon, generating a model score for each of the stateflow representations predictively ranking the stateflow representations based at least in part on one or more of user experience, usability, correctness, transformability, effectiveness, and readiness.

Disclosed herein are system, apparatus, article of manufacture, method and / or computer program product aspects, and / or combinations and sub-combinations thereof, for generating a workflow plan for completing a process. An example embodiment operates by receiving a user request from a user device in which the user request includes a natural language description of the workflow plan. The embodiment then retrieves, from a knowledge database, workflow information associated with a step of the workflow plan. The embodiment then generates a plurality of steps associated with the workflow plan. The embodiment then retrieves plan information from a storage database in which the plan information includes a sample workflow plan generated from a sample user request and the workflow information in which the workflow information is further associated with a step of the sample workflow plan. The embodiment then generates the workflow plan using a large language model (LLM) and a prompt.

The system according to this embodiment aims to understand the user's emotions and personalize the conversation based on those emotions. [Solution] The system according to this embodiment comprises an emotion recognition unit, a dialogue management unit, and a personalization unit. The emotion recognition unit understands the user's emotions. The dialogue management unit performs advanced dialogue management based on the emotions understood by the emotion recognition unit. The personalization unit personalizes the interaction with the user based on the dialogue conducted by the dialogue management unit.

We provide the system. [Solution] A user input / output means that receives user input and initiates dialogue, A dialogue control means that analyzes the user's input and identifies related knowledge based on the generated information, A knowledge-providing means that provides the user with the identified knowledge and supports their understanding of the generated AI, A learning support means that improves the performance of a machine learning model using information collected through the aforementioned interaction with the user, Information processing means that personalize information based on the user's history and interests, A system that includes this.

Disclosed herein are system, apparatus, article of manufacture, method and / or computer program product aspects, and / or combinations and sub-combinations thereof, for multi-agent network and security operations. An example embodiment operates by determining a complexity level of the task is high based on identifying a requirement of a collaboration between a plurality of decentralized agents when executing the task. The embodiment then determines a distributable level of the task is low based on identifying a requirement of a central agent for task allocation when executing the task. The embodiment then, in response to determining the complexity level of the task being high and the distributable level of the task being low, selects a hybrid architecture as the optimal architecture associated with the task. The embodiment then assigns the task to an agent associated with the hybrid architecture. The embodiment then executes the task using the hybrid architecture.

Provide a system. 【Solution means】 Means for collecting past maintenance data, Means for analyzing the collected data and generating a training scenario, Visual technology means for visualizing the generated training scenario, Means for providing the visualized training to the user, Means for recording and analyzing the user's training activities, Means for providing guidance information to the user based on the analysis results, Means for providing the user with the procedures for robot maintenance and troubleshooting through visual technology, A system including the above.

The application provides a kind of methane emission source intensity estimation method and system, device, storage medium under the support of multi-source data, belong to the technical field of environmental monitoring, including based on unmanned vehicle observation obtains target evaluation methane emission point source background meteorological data;Based on differential absorption laser radar obtains target evaluation methane emission point source methane concentration data;According to the background meteorological data and the methane concentration data of the target evaluation methane emission point source obtained, a methane Gauss diffusion model is constructed;According to the methane Gauss diffusion model constructed, the methane emission source intensity estimation result is obtained by solving.The application cooperates the monitoring result of unmanned vehicle measurement and differential absorption laser radar measurement to model the methane emission source of target area based on the modeling result and solve, so as to more accurately estimate the methane emission source intensity, high accuracy, long-term sustainability monitoring.

The system according to this embodiment aims to enable senior citizens to effectively utilize digital devices and reduce the workload of local governments. [Solution] The system according to the embodiment comprises a learning support unit, a family collaboration unit, a gamification unit, and a data analysis unit. The learning support unit provides customized guides and tutorials based on the user's learning pace and level of understanding. The family collaboration unit allows family members to check and support the user's learning progress. The gamification unit provides gamification to make learning fun and sustainable. The data analysis unit analyzes the user's learning data and provides an individually optimized learning plan.

The system according to this embodiment aims to learn operation data and identify and optimize efficient workflows. [Solution] The system according to the embodiment comprises a collection unit, a learning unit, a reinforcement learning unit, and a provision unit. The collection unit collects operation data. The learning unit learns the operation data collected by the collection unit and identifies an efficient flow. The reinforcement learning unit performs reinforcement learning based on the efficient flow identified by the learning unit and finds the optimal flow. The provision unit provides the flow optimized by the reinforcement learning unit.

We provide the system. [Solution] A means for analyzing input documents and generating an emotional arc to visualize emotional fluctuations, A means of proposing to optimize the overall story structure of a document based on the generated emotional arc, A means of analyzing the character settings and relationships to adjust them in order to improve empathy, A means of providing a filter that adjusts documents to suit the cultural sentiments of a target region, A means of providing users with suggestions for improving scene settings and character development in real time, based on scripts uploaded to the content distribution system, in order to increase emotional depth. A system that includes this.

We provide the system. [Solution] A means of aggregating city-related data obtained from different sources, A means for converting collected information into a standard format and performing noise reduction and outlier correction to improve data quality, A means for performing pattern analysis and prediction using machine learning algorithms with preprocessed data, A means of formulating the results into text using natural language construction and providing them as a report document, A method for collecting user feedback on the report content and updating the machine learning model, A means of providing an information technology infrastructure for displaying analysis results to users in real time, A system that includes this.

One or more systems, devices, computer program products and / or computer- implemented methods of use provided herein relate to multi-dimensional empirically adapted dynamical decoupling for dynamic circuits. For example, a system can comprise a memory that can store computer executable components and a processor that can execute at least one of the computer executable components that can obtain a graph of a quantum processor that represents qubit connectivity and collisions in the quantum processor. The computer executable components can further determine a first dynamical decoupling strategy for collision qubits. The computer executable components can further determine, based on the graph of the quantum processor, a second dynamical decoupling strategy for non- collision qubits through empirical learning. The computer executable components can further apply the first dynamical decoupling strategy and the second dynamical decoupling strategy to a quantum circuit. The computer executable components can further perform the quantum circuit on the quantum processor.

The invention provides a cloud service multi-path optimal selection method and device. The method comprises the following steps: acquiring a cloud service combination set, an atomic service set and a candidate service set required by a user; an improved genetic algorithm is adopted for multi-path optimization, in the improved genetic algorithm, population individuals represent service combination paths through constraint two-dimensional codes, the two-dimensional codes comprise cloud service combination dimensions and atomic service dimensions, and a coding sequence meets adjacent gene constraints: cloud service combination dimension gene values are arranged in a non-decreasing manner along the sequence, and the genetic values are distributed in a non-decreasing manner along the sequence; when the cloud service combination dimension gene values are the same, the atomic service dimension gene values are arranged along the sequence in a non-decreasing manner; evaluating the overall computing power, the overall price and the overall network delay corresponding to the individuals through a multi-target fitness function; performing selection, crossover and variation iteration operation adaptive to the two-dimensional coding constraint on the population; and after iteration is carried out for preset times, a service combination path with the optimal fitness value is output.

The invention discloses a traffic simulation method and device based on digital twinning and a medium, and relates to the technical field of traffic simulation, and the method comprises the steps: constructing a three-dimensional simulation scene corresponding to a target road, optimizing a vehicle intelligent driver model, and obtaining a target driving model; and based on a pre-created release rule of the simulated traffic signal lamp, the pre-created simulated vehicle running path and the traffic flow data, driving the simulated vehicle to run in a road network in the three-dimensional simulation scene by using the target driving model to obtain simulated traffic data so as to optimize the release rule of the traffic signal lamp based on the simulated traffic data. The method and the device are used for solving the problem that in the prior art, a traffic signal lamp release rule obtained by traffic simulation through a traffic simulation system is poor in traffic operation effect during actual traffic operation control, the purpose of obtaining the traffic signal lamp release rule conforming to the target road is achieved, and the operation effect of actual traffic operation is improved.

We provide the system. [Solution] A means of acquiring and storing multiple data from an information processing device, A means for detecting anomalies in the aforementioned data using a machine learning model, A means to notify the administrator and provide specific corrective procedures when an anomaly is detected, A means of dynamically adjusting resources remotely in response to anomalies, A means for generating and providing information based on anomaly detection results and optimization processes, A system that includes this.

The system according to this embodiment aims to analyze driving data and provide customized advice. [Solution] The system according to the embodiment comprises a collection unit, an analysis unit, a provision unit, a dialogue unit, and a learning unit. The collection unit collects driving data. The analysis unit analyzes the driving data collected by the collection unit. The provision unit provides customized advice based on the analysis results obtained by the analysis unit. The dialogue unit engages in interactive dialogue based on the advice provided by the provision unit. The learning unit learns the user's driving patterns based on the information obtained by the dialogue unit.

Provide a system. 【Solution means】 Means for receiving learning evaluation data input by a learner; Means for analyzing the learning evaluation data to identify the learning tendency of the learner; Means for generating learning resources based on the identified learning tendency of the learner; Means for providing the learning resources to the learner; Means for controlling an input device through which a user acquires learning content via a visual device; Means for analyzing data acquired from the visual device to generate additional information in real time; Means for displaying the additional information in a format according to the user's level of understanding; A system including the above.

The system according to this embodiment aims to enable users with speech impairments to converse using a voice that closely resembles their own. [Solution] The system according to the embodiment comprises a collection unit, a learning unit, a generation unit, and a reflection unit. The collection unit collects past recordings and family voices. The learning unit learns the data collected by the collection unit. The generation unit generates speech based on the data learned by the learning unit. The reflection unit reflects the speech generated by the generation unit.