33 results about "Stochastic algorithms" patented technology

The invention provides a hybrid level enhanced random algorithm based on double-loop optimization and a cross-platform implementation method thereof, and belongs to the technical field of modeling and parameter, and the method comprises the following steps: S1, initialization; s2, setting algorithm parameters; s3, executing internal circulation, and executing local search under a fixed threshold value; s4, judging constraint conditions; when there is no constraint condition, generating a candidate solution; s5, calculating a target function value; s6, judging updating of the matrix according to the target function value; s7, returning to an outer loop, and adjusting a threshold value Th according to the frequency for receiving the new design and the number of iterations; s8, after M iterations are completed, the acceptance rate and the improvement rate are calculated; s9, updating the threshold value Th; and S10, judging a condition for stopping iteration. According to the method, the problems that a general construction method is lacked, local optimum is easy to sink and cross-platform deployment is difficult to realize in a multi-factor mixing level test design are solved.

The invention relates to the technical field of rail transit engineering, and discloses a rail transit interval water supply and drainage and fire-fighting intelligent design method and system, and the method comprises the steps: S1, candidate point presetting: in a rail transit interval, presetting a plurality of candidate installation points of fire-fighting and drainage equipment according to interval geometric parameters, evacuation streamlines and standard requirements, candidate point set data is formed; s2, fire working condition simulation: generating a plurality of fire working conditions based on a random algorithm, and performing fire scene simulation for the working conditions; s3, hydraulic calculation and environment checking; s4, performing optimization iteration; s5, performing multi-objective optimization; and S6, carrying out digital twinborn verification. A digital twinborn model is established based on BIM and GIS, a Pareto solution set is mapped into a three-dimensional scene, dynamic simulation and reasoning check are carried out in combination with CFD and hydraulic data, and real-time monitoring data of a sensor can be fused, so that it is guaranteed that an equipment arrangement scheme can meet standard constraints, and feasibility and safety of the equipment arrangement scheme can be continuously checked in the operation process.

The invention is suitable for the technical field of intelligent control, and particularly relates to an intelligent control method and system of an industrial personal computer, and the method comprises the steps: setting a virtual model of the industrial personal computer at a cloud; identity verification is carried out, the virtual model is loaded through an external device, and a currently used variation function is sent to the external device at regular time through the cloud; generating a transition function through a random algorithm, obtaining to-be-transmitted data, and converting the to-be-transmitted data through the transition function to obtain transition data; and performing secondary conversion on the transition data through the variation function to obtain plaintext data, and synchronously transmitting the plaintext data and the transition function to the data receiver by the data sender through the cloud to complete the data transmission. According to the method, the data needing to be transmitted are converted, and the original data are replaced by the transition function and the plaintext data which are not directly associated with the data to be transmitted, so that the data security is improved, the data does not need to be additionally encrypted and transmitted, and the equipment control security is ensured.

The embodiment of the invention provides an attack and defense drilling method, device and equipment based on chaos engineering, a medium and a product. The method comprises the following steps: acquiring a first chaotic fault scene by using a random algorithm; acquiring a to-be-detected fault matched with the first chaotic fault scene from a predetermined to-be-detected fault range; wherein one to-be-detected fault corresponds to one fault weight; capturing system state parameters in real time in the process of executing the to-be-detected faults based on the sequence of the fault weights from large to small; degrading the fault weight of the to-be-detected fault after execution, and adding the degraded to-be-detected fault into the to-be-detected fault range again; when a completion instruction is detected, effect verification and system repair are carried out based on the system state parameters, and a verification result and a repair result are obtained; and outputting a chaos test summary report based on the verification result and the repair result. According to the method, the comprehensiveness and accuracy of evaluation are improved, and reliable support is provided for optimization and improvement of the system.

The invention relates to a method and a system for randomly selecting questions and identifying answers based on a dynamic library file, and relates to the technical field of data processing. A material library, a vocabulary library and a selected question library are pre-constructed, so that an intelligent terminal participating in a network program obtains a target material library, a target vocabulary library and a target selected question library; the method comprises the following steps: according to a random algorithm, randomly selecting corresponding target materials, keywords and the like according to the random algorithm to obtain randomly selected questions and randomly combined options, and displaying the questions and the options on an intelligent terminal, so that a user participating in a network program can answer questions and display corresponding prompt statements or jump objects after the answers are correct, thereby realizing display of preset contents; by adopting the technical scheme, questions and answers are generated intelligently, manpower is saved, meanwhile, needed preset content can be displayed after answering, and the publicity is improved; in addition, according to network updating, the three library files can be updated in real time, and the applicability of the files is improved.

The application discloses a stratum attribute value determination method, device and computing equipment. The method comprises the following steps: acquiring a first number of groups of adjacent well stratum attribute value distribution data of a target well logging, and generating a first number of attribute value reference sequences; using a random algorithm to generate a derived sequence set under the constraint of each attribute value reference sequence of any inversion stratum depth, each derived sequence set comprising a second number of attribute value derived sequences; taking any derived sequence set as an initial model vector, using a random gradient evolution hybrid optimization algorithm to perform inversion on the well logging data of the inversion stratum depth to obtain an inversion result set, each inversion result set comprising a third number of inversion results; and determining a target inversion result corresponding to the inversion stratum depth from the inversion results. The scheme can improve the inversion accuracy and efficiency of the stratum attribute value.

The invention relates to a flexible production line equipment collaborative energy-saving control system based on a random ADMM, and the system comprises a multi-dimensional energy consumption sensing module which is used for collecting the time sequence power data, equipment state transition data and environment parameter data of equipment in a production line; the data transmission module is used for transmitting the time sequence power data, the equipment state transfer data and the environment parameter data to the central control system; the central control system is internally integrated with a cross-industry federated learning module which is used for carrying out federated learning and collaborative optimization of multi-source energy consumption data based on a privacy protection mechanism; the non-convex optimization model is used for performing non-convex optimization solution on the equipment start-stop strategy by adopting a random ADMM algorithm to generate a global optimal equipment start-stop strategy; and the dynamic correction module is used for receiving the collaborative optimization data and the global optimal equipment start-stop strategy, carrying out fusion analysis and optimization calculation, and then feeding back the optimized final control strategy to a production line execution mechanism so as to regulate and control the start-stop state of the production line equipment.

The invention discloses a DAG-based block chain consensus method, which ensures the uniqueness and availability of blocks in a DAG by constructing a reliable broadcast algorithm under a new hybrid model. And meanwhile, throughput is improved by utilizing a DAG structure, a rapid confirmation path is fused and added to realize rapid confirmation and reduce delay, and then the activity of the protocol is ensured through a coin confirmation path. According to the method, a main-free design is introduced into a hybrid algorithm design, a multi-proposal architecture is adopted, block relationships of blocks of proposals are structured through a directed acyclic graph (DAG), and the activity and security of a system are ensured by using a random algorithm and a time hypothesis. In addition, by introducing a rapid confirmation condition, the delay is reduced while the throughput capacity of the protocol is ensured. The consensus of the blocks can be completed in the fastest four rounds of communication, and most of the blocks can complete the consensus of the blocks in the six rounds of communication, so that the low time delay of the block consensus process is ensured, and the responsiveness of the system is improved.

The application provides a ship voyage track generation method based on STK and MATLAB combined simulation, comprising: setting a random seed, initializing an STK environment through MATLAB, and loading a set simulation scene; under the simulation scene, randomly selecting a ship model needing to be simulated, and setting a corresponding type, attribute and speed for each ship model; using a random algorithm to generate a starting point and an ending point of each ship model, using an interpolation method to generate continuous and diverse path points, and through dynamic propagation of the path points, updating a voyage track of the ship model in real time. The application not only improves the efficiency and practicability of the voyage track simulation, but also greatly improves the convenience and accuracy of the voyage track data analysis through automatic data processing and output functions, and is suitable for fields of ocean research, navigation safety evaluation, channel planning, military and education training and the like.

A structural damage identification method based on random sparse regularization comprises the following steps: S1, establishing a finite element model of a to-be-identified damage structure, dispersing the structure into a finite number of units, setting a damage working condition, and simulating the damage working condition; s2, performing modal analysis, calculating a stiffness matrix and a mass matrix of the structure, adding boundary conditions, and solving feature values and feature vectors; s3, constructing an objective function of damage identification; s4, introducing an l1 / 2 regularization optimization method, and establishing a structural damage identification equation; s5, introducing a random class algorithm, optimizing and solving the structural damage identification target equation, and obtaining a solution vector; and S6, determining the damage position and the damage degree in the structure according to the solution vector of the damage identification equation. According to the method, the damage position can be quickly positioned, the damage degree can be accurately quantified, the accuracy of a damage identification result is improved, and the identification time of damage identification is shortened.

The invention discloses a three-dimensional wire harness wiring method and system and a medium, and relates to the field of wire harness layout. The method comprises the following steps: acquiring a three-dimensional space region to be wired, equipment coordinate information and an equipment connection relationship; dividing the three-dimensional space area into a plurality of sections along a preset main wiring direction to obtain a section set, and determining an initial section of the section set; based on the equipment coordinate information and the equipment connection relationship, determining a plurality of wires passing through the initial cross section, and obtaining a target wire set of the initial cross section; generating an initial channel group of the initial section through a first random algorithm based on the traverse information of the target traverse set; based on the initial channel group, determining a target wiring solution of the initial cross section through a simulated annealing algorithm; based on the target wiring solution of the initial section, determining the target wiring solution of the target section according to a preset main wiring direction sequence; and based on the target wiring solution corresponding to each section, determining a wiring harness wiring result of the three-dimensional space region. According to the invention, the accuracy of three-dimensional wiring harness wiring can be improved.

A three-dimensional wire harness wiring method, system and medium relate to the field of wire harness layout. The method comprises: obtaining a three-dimensional space region to be wired, device coordinate information and device connection relationship; dividing the three-dimensional space region into multiple cross sections along a preset main wiring direction to obtain a cross section set, and determining a starting cross section of the cross section set; determining a plurality of wires passing through the starting cross section based on the device coordinate information and the device connection relationship to obtain a target wire set of the starting cross section; generating an initial channel group of the starting cross section by a first random algorithm based on the wire information of the target wire set; determining a target wiring solution of the starting cross section by a simulated annealing algorithm based on the initial channel group; determining a target wiring solution of a target cross section in sequence according to the preset main wiring direction based on the target wiring solution of the starting cross section; and determining a wire harness wiring result of the three-dimensional space region based on the target wiring solution corresponding to each cross section. The application can improve the accuracy of three-dimensional wire harness wiring.

This invention discloses a privacy information retrieval method and system, comprising: data digest extraction; preprocessing the database index before data retrieval to privatize client query requests; a first server storing the indexes of n data points from a public database DB in an array of l rows * m columns, arranging the elements of each subarray using a random algorithm to obtain random permutation groups; performing column-wise operations on each random permutation group to obtain m data digests; querying and responding; when a client wants to query data with index x, calculating the corresponding data digest, constructing a request that does not expose the real query using the data digest, and sending it to a second server; state reset; the data digest represents the latest state of the current retrieval method, and the state of the data digest is reset after each data retrieval; and re-performing the query and response tasks after the state reset. This invention will help promote privacy information protection in fields such as healthcare, finance, and media recording.

The invention relates to the technical field of biological information, in particular to a genetic rate estimation method and system for sequencing data, a computer device and a computer program product. And representing phenotypic data of the concerned character as y = X beta + e, calculating a matrix trace of a genetic relationship matrix by adopting a Girard-Hutchinson random estimation method, and estimating the genetic rate according to a formula when judging that the sequencing data are from the same data source. The invention provides an optimized heredity estimation method, through a controllable random algorithm, on the premise of balancing calculation precision and calculation amount, the heredity can be solved under sample amount increase, especially under a million-level sample scale, and especially under a moment estimation framework, full-sample calculation can be used, large-scale data can be efficiently processed, sample loss is avoided, and the calculation efficiency is improved. And calculation precision is maintained.

The application discloses a wild bird irregular silent feeding device and method in the technical field of wild animal protection, which comprises a moving device, a control device and a lifting piece are arranged on the moving device, a rotating disc and a driving device for driving the rotating disc to rotate are arranged on the moving end of the lifting piece, the control device comprises a control unit and a random algorithm unit, a storage tank is arranged in the rotating disc, a silent discharge pipe for being communicated with the storage tank is arranged on the side wall of the rotating disc, and the control unit of the control device controls the driving device, the moving device and the lifting piece to start based on the random time interval generated by the random algorithm unit of the control device, so that the feeding device can irregularly feed, the randomness and uncertainty of food in a natural environment can be effectively simulated, the migratory birds cannot form a fixed expectation for feeding time, and thus the dependence behavior of the migratory birds can be prevented.

Embodiments of the present application provide a chaos engineering-based attack and defense drill method, device, equipment, medium and product. The method comprises: obtaining a first chaos fault scene using a random algorithm; obtaining a to-be-tested fault matching the first chaos fault scene from a predetermined to-be-tested fault range; wherein one to-be-tested fault corresponds to one fault weight; in the process of executing the to-be-tested faults in the order of fault weights from large to small, real-time capture of system state parameters; downgrading the fault weight of the to-be-tested fault that ends execution, and re-adding the downgraded to-be-tested fault to the to-be-tested fault range; when a completion instruction is detected, effect verification and system repair are performed based on the system state parameters to obtain verification results and repair results; and a chaos test summary report is output based on the verification results and the repair results. The present application improves the comprehensiveness and accuracy of evaluation, and provides reliable support for optimization and improvement of the system.

This invention discloses a method, device, and storage medium for robotic arm motion planning in random and chaotic environments, relating to the field of robot control technology. The method includes: constructing a forward kinematics model of the robotic arm and a workspace obstacle model; constructing an initial geometric reference path and generating an end effector reference trajectory; constructing a joint space configuration domain; using a bidirectional fast expanding stochastic algorithm to expand the sampling nodes of the initial geometric reference path and generate a time-parameterized reference joint trajectory; constructing a safety corridor and a quality-unified objective function; employing a metaheuristic optimization algorithm, using the end effector reference trajectory and the time-parameterized reference joint trajectory, iteratively solving to minimize the quality-unified objective function to obtain optimized control point offsets and time allocation parameters, and outputting the optimized joint trajectory and end effector trajectory. This invention can output high-quality robotic arm motion trajectories that meet industrial-grade safety and execution quality requirements.

This invention relates to the field of intelligent control technology, and particularly to an intelligent control method and system for industrial control computers. The method includes: setting up a virtual model of the industrial control computer in the cloud; performing authentication; loading the virtual model through an external device; periodically sending the currently used variable function to the external device via the cloud; generating a transition function using a random algorithm and obtaining the data to be transmitted; transforming the data to be transmitted using the transition function to obtain transition data; performing a secondary transformation on the transition data using the variable function to obtain plaintext data; and having the data sender synchronously transmit the plaintext data and the transition function to the data receiver via the cloud to complete the data transmission. This invention transforms the data to be transmitted, replacing the original data with a transition function and plaintext data that are not directly related to the data to be transmitted, thus improving data security. It eliminates the need for additional data encryption during transmission, ensuring the security of device control.

This invention provides a high-precision modeling method for porous metallic materials based on a stochastic algorithm and its application in simulating the electrothermal-mechanical properties of materials. It relates to the field of artificial intelligence algorithm technology. The method includes: reconstructing and optimizing an initial reconstruction model of the porous metallic material based on a stochastic algorithm to obtain a three-dimensional reconstruction model; performing slice analysis on the three-dimensional reconstruction model and determining whether the analysis results meet the accuracy error standard; if they do, outputting the three-dimensional reconstruction model. By reconstructing and optimizing the initial model, the three-dimensional structure of porous materials can be accurately simulated, achieving high-precision modeling of porous metallic materials. Generating and growing pore seeds using a stochastic algorithm ensures the randomness and realism of the model. The setting of the accuracy error standard further improves the reliability of the model, ensuring the accuracy of porosity and pore size. This effectively solves the error problem in the modeling process of porous metallic materials, providing a solid foundation for high-precision simulation and material performance prediction.

The application discloses a method and a transaction execution device for improving the execution speed of a blockchain smart contract transaction, which comprises the following steps: identifying all global counters of a global variable type which is prone to cause read-write conflicts according to the application type of the original read-write conflict in an application; dividing each identified global counter into multiple sub-counters; when a blockchain smart contract transaction arrives, distributing the blockchain smart contract transaction to one of the corresponding sub-counters according to a predetermined random algorithm, and obtaining the counting value of the corresponding sub-counter; and when the real-time value of the global counter is needed, adding the counting values of the multiple sub-counters. Therefore, the application effectively reduces the probability of read-write conflicts in the parallel execution process of the smart contract, thereby greatly improving the speed of the parallel execution transaction of the smart contract.

The invention relates to an anti-counterfeiting identification method, device and equipment for a tire pressure sensor and a storage medium, and the method comprises the following steps: sending authentication information to a target tire pressure sensor to obtain feature information of the tire pressure sensor; processing the feature information to obtain a signature feature vector; randomizing the signature feature vector based on a random algorithm to obtain a feature sequence; performing Rawinter transformation on the feature sequence to obtain a change feature; matching the change feature with a preset reference feature; and if the matching is successful, sending an activation signal to the target tire pressure sensor so as to activate the target tire pressure sensor. Through the steps, the accuracy of anti-counterfeiting identification of the tire pressure sensor is improved.

The application discloses a kind of composite briquette adding phase geometric structure and space distribution optimization method, adopt ellipsoid equation to simultaneously describe round ball type, whisker type, sheet type filling method, realize the optimization design of different geometric shapes;Specific steps are as follows:1, give the relevant condition of briquette;2, establish the r-θ2D section analysis model of briquette;3, given the discrete geometric number of adding phase;4, generate corresponding ellipse in model using random algorithm;5, determine whether the ellipse generated in 4 has problem, if there is problem, repeat 4;6, repeat steps 4, 5, generate M sets of data containing random geometry, space distribution;7, carry out mesh division;8, use numerical analysis method and solve in parallel, obtain M groups of key variables;9, based on the result in 8, using genetic algorithm and other optimization means, evaluate the pros and cons of M groups of design, then generate M groups of data again in combination with steps 4-6;10, repeat steps 4-9 until the optimization algorithm convergence condition is reached;11, output optimization result.

The invention provides a PDK quality verification method based on instantiation parameter random assignment, and the method comprises the steps: carrying out the instantiation of a reference PDK library, and obtaining a reference schematic diagram library; cDF parameters of the device are extracted from a PDK library of the reference schematic diagram library, and a parameter type and a variable range list of the device are obtained; according to the parameter type and the variable range list, generating a random value meeting a random quantity requirement in cooperation with a random algorithm; generating a Cartesian parameter set from the random values in a full arrangement mode, endowing the Cartesian parameter set to the device, and instantiating the Cartesian parameter set to a schematic diagram library and a layout library; and capturing information from the instantiated schematic diagram library and layout library, and executing quality verification. According to the method, the random value is generated through the random algorithm and instantiated into the instance library for verification, so that the verification range can be expanded, problems in the PDK can be quickly positioned, the manual intervention degree is reduced, PDK development and verification are accelerated, and the development accuracy and efficiency are improved.

This invention discloses a GIS-based method for optimizing 3D geological modeling, belonging to the field of 3D geological modeling technology. The method includes: collecting multi-source geological data of the target area, performing standardization processing, and importing the processed data into a GIS platform to construct a GIS spatial database with spatial index; using an improved K-means and DBSCAN hybrid clustering algorithm, combined with the standardized multi-source geological data, to generate a geological information feature set; using an optimized spatial interpolation algorithm that integrates geostatistics and stochastic algorithms to construct a borehole 3D model and perform geological constraint verification and correction; using a multi-coupled cascaded hybrid density network, combining the input borehole 3D model data and the geological information feature set with GIS topology analysis to generate a 3D geological body model; optimizing the 3D geological body model, iteratively correcting the model through a preset quality assessment system, and outputting an optimized 3D geological model. This invention is applicable to various high-precision 3D geological modeling scenarios.

The invention discloses a method for controlling and suppressing high-frequency noise of a DCDC converter through a double random algorithm. The method comprises the following steps that the application range of the random switching frequency of an IGBT is obtained; the method comprises the following steps of: controlling the switching frequency of an IGBT (Insulated Gate Bipolar Translator) to realize random change in a controllable application range in each PWM switching period through a double random algorithm, and carrying out random pulse output weight distribution according to a calculated and output PWM duty ratio in each PWM switching period, and randomly cutting a complete PWM wave into a plurality of PWM waveforms with different weight ratios under different time sequences; and forming an output random pulse according to a pulse sending mechanism so as to suppress the high-frequency noise of the DCDC converter. According to the method, through random IGBT switching frequency and random monopulse distribution and weight ratio, fixed noise distribution under traditional control is broken, noise spectrum characteristics are changed, peak clipping and valley filling are carried out especially for a high-frequency part, and high-frequency noise generated by the DCDC converter is effectively suppressed on the premise that the control effect is ensured to be consistent.

The present application relates to the technical field of uranium ore geology and geophysics, and particularly relates to a sandstone type uranium mine modeling method based on a random algorithm, comprising the following steps: step one, collecting known data; step two, counting data; step three, designing the four-to range of a grid, the model size and the growth factor, and establishing a model grid in a rectangular division manner; step four, determining the geometric parameters and the resistivity parameters of sand body strata, and randomly generating a plurality of sand body strata model combinations with different characteristics; step five, determining the top interface shape, and assigning values from the deep region of the top interface to the bottom of the grid region to obtain a crystallization basement model; step six, assigning background mudstone resistivity values to other grids; and step seven, converting the grid model into a png file as a label file of an intelligent system training library. The present application solves the problems of insufficient training library data sample quantity and poor diversity of training convolutional neural network models when using magnetotelluric results to interpret sandstone type uranium mines.

The application discloses a method for testing the data acquisition accuracy of a decentralized oracle, comprising a committee, a data source, a data requester, a blockchain node and an oracle node, and the method comprises the following steps: 1) deploying a smart contract; 2) registering an oracle node; 3) defining a data request interface; 4) requesting data; 5) selecting a committee member by using a verifiable random function; 6) selecting a trusted node by using a weighted random algorithm; 7) acquiring trusted data; 8) returning the data to a chain; and 9) verifying the data. The method can acquire information outside the blockchain by using the oracle node, and can guarantee the authenticity and correctness of the returned data by using the weighted random algorithm and the secret test.

The application discloses a blockchain identity authentication method based on credit reward, which comprises the following steps: a user client sends an identity authentication processing request to an authentication blockchain network; the authentication blockchain network arranges three nodes that first snatch the processing right to perform identity authentication processing; if the number of suspicious nodes in the three authentication nodes that first snatch the processing right is greater than the number of trusted nodes, or the authentication results of the three authentication nodes are inconsistent, then a trusted degree random algorithm is used to randomly select a plurality of nodes from the trusted nodes to perform second identity authentication, so that the number of trusted nodes in the authentication nodes is greater than the number of suspicious nodes, and the number of votes of the final result is the majority; finally, the authentication blockchain network returns the final result to the client and performs identity authentication processing reward work.

The invention discloses a software modular management method, system, device and equipment and a medium, and the method comprises the following steps: an authorization stage: obtaining user activation information which is used for indicating function modules allowed to be activated; independently encrypting each function module allowed to be activated according to the user activation information and a random algorithm library, and generating a corresponding authorization file; an authentication stage: obtaining an authority verification request of the function module; authenticating an authorization file of the function module according to the authority verification request to generate authentication information; and under the condition that the authentication information indicates that the verification is passed, allowing the corresponding function module to be started. According to the method, the flexibility, the expandability and the security of software can be improved.

This invention discloses a method, apparatus, and device for calculating the spatial distribution of NO2 in a region based on machine learning. The method includes: collecting remote sensing datasets and auxiliary data; the remote sensing dataset includes an AOD dataset, NO2 column concentration data, and related data; the auxiliary data includes the characteristics of a specific day of the year, the location ID of each pixel, and a 1-kilometer resolution grid in a UTM coordinate system covering the study area; preprocessing the remote sensing dataset and auxiliary data; labeling the location of all pixels with independent IDs, shuffling all IDs using a random algorithm, and incorporating the random IDs into a random forest regression method; and using the random forest regression method to train and predict the spatial distribution of NO2 concentration. Compared with existing RF models, this embodiment shows significant improvements in both performance and display quality.