68 results about "Stochastic algorithms" patented technology

The invention provides a high-precision modeling method of a porous metal material based on a random algorithm and application of the high-precision modeling method in electrothermal mechanical performance simulation of a material, and relates to the technical field of artificial intelligence algorithms, and the method comprises the following steps: reconstructing and optimizing an initial reconstruction model of the porous metal material based on the random algorithm to obtain a three-dimensional reconstruction model; performing slice analysis on the three-dimensional reconstruction model, and determining whether an analysis result meets a precision error standard or not; and if yes, outputting a three-dimensional reconstruction model. By reconstructing and optimizing the initial model, the three-dimensional structure of the porous material can be accurately simulated, and high-precision modeling of the porous metal material is achieved. And pore seeds are generated through a random algorithm and grow, so that the randomness and authenticity of the model are ensured. And the reliability of the model is further improved by setting the precision error standard, and the precision of the porosity and the aperture is ensured. The error problem in the porous metal material modeling process is effectively solved, and a solid foundation is provided for high-precision simulation and material performance prediction.

The invention relates to the technical field of enterprise data optimization of cloud computing, and particularly discloses an enterprise data optimization processing method based on cloud computing data fusion, which comprises the following steps of: collecting structured, semi-structured and non-structured data from internal and external data sources in real time through a cloud platform interface; storage resources of the cloud computing platform are used for hierarchical storage, and encryption processing is adopted to ensure the security of the data; through consistency detection and logical analysis, the system respectively calculates a consistency coefficient and a logical coefficient of each piece of data, and further evaluates the consistency and logical level of data storage; by comprehensively evaluating the consistency coefficient and the logicality coefficient, the system can calculate the accuracy score of each piece of data and correct the inaccurate data based on the accuracy score; the support vector random algorithm is introduced, the data correction coefficient is dynamically adjusted, and the correction process is optimized, so that data processing has higher flexibility and adaptability.

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 discloses a cloud data security protection system driven by artificial intelligence. The system comprises a preprocessing module. According to the method, the cloud data are disordered through the random algorithm, the disordered data are encrypted through the asymmetric encryption mode, and the random operator is encrypted through the symmetric encryption mode, so that triple encryption of the cloud data is realized, and due to the fact that the readable data obtained after conversion of the cloud data are subjected to region division and the random algorithm is adopted, the encryption efficiency is greatly improved. The encryption of disordered data is enhanced, the security in the data processing and transmission process is ensured while the efficient operation of the system is ensured, the situation that the security is sacrificed due to pursuit of a single performance index is avoided, and the symmetric encryption mode and the asymmetric encryption mode do not need complex hardware support or a special software environment, so that the security is improved. And the generated key is compatible with the existing encryption standard and protocol, so that the method can be seamlessly integrated with other encryption systems, and the overall efficiency and effect of data protection are improved.

The invention discloses an electric power data analysis and encryption method and system and a storage medium, and relates to the technical field of electric power data. Scanning and processing the electric power data; obtaining a database, converting the power data, and obtaining readable data; scanning the readable data, and disordering the readable data by using a random algorithm to obtain disordered data; acquiring an encrypted public key and an encrypted private key according to the disordered data; encrypting the disordered data according to the encryption public key and the encryption private key; a random operator of a random algorithm is extracted, an AES algorithm is utilized to encrypt the random operator, a symmetric encryption mode and an asymmetric encryption mode do not need complex hardware support or a special software environment, and a generated key is compatible with an existing encryption standard and protocol, so that the method can be seamlessly integrated with other encryption systems; and the overall efficiency and effect of data protection are improved, so that the overall data processing capability of the system is ensured.

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 provides an intelligent short message sending method and system, and belongs to the technical field of communication. The method comprises the following steps: acquiring configuration information of each short message supplier from a configuration database, wherein the configuration information comprises an initial weight ratio, a supplier starting state and an available channel number; screening out available suppliers according to the configuration information; dynamically adjusting the weight ratio of each available supplier according to the short message service type; selecting a supplier through a weighted random algorithm according to the adjusted weight ratio of each available supplier; based on the short message service type, matching an optimal short message content template through a preset template mapping library, and performing template filling by using data uploaded by an external system to obtain a short message to be sent; and calling the selected supplier to send the short message to be sent. According to the invention, the short message supplier is intelligently matched according to the actual short message service demand, and the efficient and accurate sending of the short message is realized.

The invention relates to a dynamic collaborative deployment method and system for unmanned cluster tasks. The nodes of a cluster are divided into main nodes and sub-nodes; each node comprises a cluster communication module, a task component management module, a task component and a task component distribution table, and the method comprises the following steps: a cluster initialization stage: firstly, selecting a certain node as a main node through an election algorithm, distributing the task component by the main node according to a random algorithm, entering a task deployment stage, and executing a task deployment stage; the method comprises the following steps: determining a required task component by a child node according to the task requirement, safely deleting part of the task component from the node according to an elimination algorithm after the task is completed, updating a task component distribution table of the node, and entering a main and child node re-backup stage if the main and child nodes are lost. The problem of how to keep high efficiency, reliability and fault-tolerant capability in the unmanned cluster task deployment method under the weak communication condition is solved, and automatic, intelligent and efficient deployment of the task of the unmanned cluster under the weak communication condition is realized.

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 present application discloses a communication control method and apparatus, which is applied to a first device and includes: generating a first character string according to a random algorithm; processing the first character string according to a version identifier of a first key negotiation configuration file to obtain verification information and a first configuration item; generating a key negotiation request message according to at least the first character string and the verification information; sending the key negotiation request message to a second device, and the second device processing the first character string according to the version identifier of a second key negotiation configuration file to obtain a second configuration item when the second device passes the legitimacy verification of the verification information; encrypting a communication key according to a corresponding encryption and decryption key using an encryption and decryption algorithm corresponding to the second configuration item to generate a key negotiation confirmation message; the first device receiving the key negotiation confirmation message sent by the second device; and decrypting the communication key in the key negotiation confirmation message according to the first configuration item.

The embodiments of this specification provide a verification method, device and electronic device for a privacy protection algorithm, wherein the privacy protection algorithm is a random algorithm of the differential privacy class; according to the method, a first privacy simulation data set and a second privacy simulation data set that are adjacent data sets are obtained; the first privacy simulation data set is processed by calling the privacy protection algorithm multiple times to obtain multiple first results, and the second privacy simulation data set is processed to obtain multiple second results; based on the multiple first results and the multiple second results, a trade-off function that characterizes the privacy protection performance of the privacy protection algorithm is obtained by hypothesis testing. In this way, a decision can be made on the privacy protection performance of the privacy protection algorithm conveniently and accurately.

The embodiment of the present invention provides a method, device, equipment and storage medium for protecting the core code of a program. The method comprises: marking the loading state of any loading module by a state machine to obtain a state machine data matrix of the loading module; filling the state machine data matrix into the loading module according to the module loading order of the main program by creating an empty thread event, and storing the state machine data matrix of any loading module in the core module; embedding the one-dimensional array result data into the core code of the program as secret key data and / or seed data of a random algorithm to perform data verification or encryption, thereby completing the protection of the core code of the program. The present invention utilizes a state machine to mark the state data of the loading module, and by creating an empty thread event, realizes the filling of the state machine data, thereby forming verification or encryption data, and the thread creation event is irreversible, thereby realizing the protection of the core code of the program.

The encryption method, device, computer equipment and storage medium for sensitive information proposed by the present invention, wherein the method includes: obtaining specified data; selecting sensitive fields that need to be encrypted from the specified data, and annotating and marking the sensitive fields to obtain marked identification data; intercepting a first string of a preset length from a preset managed password according to the identification of the identification data, obtaining a second string from a preset Git repository, and randomly generating a third string through a random algorithm; combining the first string, the second string and the third string according to a specified rule to obtain an encryption password; encrypting the identification data and the encryption password through a preset encryption algorithm to obtain encrypted data with the sensitive fields encrypted, which can improve the security of data, eliminate the chance for any party such as development and operation and maintenance to view sensitive data, and effectively ensure the integrity of data and user privacy.

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 present invention discloses a passenger pick-up and drop-off scheduling method for a customized bus system between urban areas, the steps of which are as follows: all stops are divided into a starting point area containing n starting points and a terminal area containing m terminal points, and a travel node sequence set Y={y 1 ,y 2 ,…,y n+m}; According to the inverse of the distance of each sequence, find the probability of each sequence being selected, sequence y i The probability of being selected is #imgabs0# and then based on the random number in the interval [0.0,1.1], the determination is to use the sequence y i nodes, or randomly add nodes to generate a new travel node sequence y 0 , and then iterate continuously until convergence; the present invention converts the path weight into a probability distribution, and on the basis of continuously passing on the advantageous subsequent nodes, adopts a 10% mutation probability for each node, which can quickly iterate and evolve; since the data exchange with the memory is reduced, the running speed can be improved; the iterative evolution of the present invention has strong cohesion and can conveniently realize parallel computing.

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.

The invention discloses a method for automatically generating a blind bottom file and keeping a blind state of a drug clinical blind test, which comprises the following steps of: selecting a specific random algorithm, configuring a self-defined parameter, generating a logic condition containing an SAS (Serial Attached SCSI) algorithm code structure, assembling according to the logic condition, and automatically generating an SAS code. Generating an executable SAS random algorithm file by calling the SAS algorithm macro file, transmitting the SAS random algorithm file to a random algorithm server, and calling SAS software to execute the SAS random algorithm file to generate a blind bottom file; the random algorithm server pushes information generated by the blind bottom file to the WEB system server, and the WEB system server receives the blind bottom file and audits the blind bottom file on the WEB system server; after the blind bottom file passes the audit, an encryption key is added to the blind bottom file, the encryption key cannot be stored in a database in the WEB system server, and blind state maintenance is achieved. The problems of tedious process and low efficiency caused by dependence on manual design and uploading of blind bottom files in the prior art are solved.

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.

The invention provides a ship track generation method based on STK and MATLAB joint simulation, and the method comprises the steps: setting a random seed, initializing an STK environment through MATLAB, and loading a set simulation scene; in the simulation scene, ship models needing to be simulated are randomly selected, and corresponding types, attributes and speeds are set for each ship model; and a starting point and an ending point of each ship model are generated by adopting a random algorithm, continuous and diversified path points are generated by utilizing an interpolation method, and the track of the ship model is updated in real time by dynamically spreading the path points. According to the method, the efficiency and practicability of track simulation are improved, the convenience and accuracy of track data analysis are greatly improved through automatic data processing and output functions, and the method is suitable for the fields of ocean research, navigation safety evaluation, channel planning, military and educational training and the like.

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.