42 results about "Algorithm configuration" patented technology

The invention discloses a reinforcement learning aided evolutionary algorithm for parameter optimization in algorithm configuration, which comprises the following steps of: performing parameterized definition on four core operators, coding all adjustable parameters, and constructing a unified parameter configuration space; then randomly initializing a configuration population, and inputting the configuration population into an optimization framework assisted by reinforcement learning; the framework is internally provided with an intelligent agent and is executed in each generation of iteration: operating an evolutionary algorithm according to parameter configuration and evaluating performance; the intelligent agent adaptively selects a predefined alignment strategy based on a population state, and guides mutation operation to generate a filial generation; performing environment selection and population updating based on performance evaluation; and finally, calculating rewards according to population performance, and training and updating the agent decision model. And after iteration to a termination condition, outputting configuration with optimal performance and a corresponding algorithm thereof. According to the method, an evolutionary algorithm search space is constructed through comprehensive parameterization, a reinforcement learning agent is introduced to adaptively process variable-length coding, and a double-layer optimization framework is adopted to efficiently search optimal algorithm configuration.

The invention discloses an industrial image anomaly detection method based on a multi-agent arrangement heterogeneous algorithm. The method comprises the following steps: S1, constructing an algorithm component library for shielding data representation differences among different architecture algorithms; s2, constructing a multi-modal large model system based on a multi-agent architecture; the multi-agent architecture comprises the following steps: receiving an image by using a visual expert agent, and outputting structured physical metadata and an unstructured visual suggestion text; the planner agent receives the physical metadata and the visual suggestion text, and generates an algorithm configuration tree based on an algorithm component library; the optimizer agent optimizes the algorithm configuration tree in the closed-loop feedback stage; s3, using the algorithm configuration tree to construct a reference model representing good product distribution according to the normal training sample images; s4, performing anomaly detection on the to-be-detected sample image by using the algorithm configuration tree to generate an anomaly judgment result; and S5, optimizing the algorithm configuration tree.

The application discloses a cryptographic algorithm debugging data hierarchical grouping compression method for a reconfigurable cryptographic chip. In the debugging work of the reconfigurable cryptographic chip, the debugging data is divided into reconfigurable cryptographic algorithm configuration information and operation intermediate data. The debugging data is processed by hierarchical grouping, the debugging data of each level module is divided into one or more groups, then the debugging data is filled or spliced, and then the reconfigurable debugging data is compressed by using a Huffman coding mode. After the hierarchical grouping compression method of the debugging data is used, the transmission performance of the debugging data can be effectively improved while the storage resource of the debugging data is reduced.

This application provides a method for configuring video stream algorithms, comprising: extracting visual features, spatiotemporal features, and semantic features of the input video stream; fusing these features to generate a first scene feature of the video stream; and generating a configuration algorithm for the video stream based on the first scene feature and a pre-constructed knowledge graph representing the relationship between scene features and algorithms. The technical solution of this application can effectively solve the problems of high configuration cost, poor scene adaptability, knowledge transfer gaps, and low configuration efficiency of video stream algorithms in smart city scenarios in existing technologies.

The invention provides a performance analysis method and device for source address verification, equipment and a storage medium, and relates to the technical field of network security. The method comprises the following steps: receiving a source address verification processing program written through a description language; loading an algorithm configuration file; wherein the algorithm configuration file at least comprises a performance model configured for a plurality of preset algorithms, and the performance model is used for calculating the consumed time length of the operation statement based on the operand length of each operation statement; based on the source address verification processing program and the performance model, calculating the consumed time length of each operation statement; and generating a performance analysis report of the source address verification processing program according to the time-consuming duration of all the operation statements in the source address verification processing program. According to the embodiment of the invention, automatic and theoretical performance analysis can be carried out on the source address verification processing flow based on the formalized description language and the predefined algorithm configuration file under the condition of separating from the dependence of specific hardware.

The invention discloses an encryption device and system, and the device comprises a global encryptor which is used for obtaining algorithm configuration data which is determined through the joint negotiation of a producer and a consumer based on an agreed target cryptographic algorithm, and constructing a target encryptor instance which supports the target cryptographic algorithm; the encoder conforms to serializer interface specifications of a client library of a producer and is used for encoding first data generated by the producer into a first plaintext byte array; the target encryptor instance is called to encrypt the first plaintext byte array into a first ciphertext byte array through a target cryptographic algorithm, so that a producer stores the first ciphertext byte array to a distributed stream processing platform; and the decoder conforms to a deserializer interface specification of a client library of the consumer and is used for calling the target encryptor instance to decrypt a second ciphertext byte array obtained by the consumer from the distributed stream processing platform into a second plaintext byte array through a target cryptographic algorithm and decode the second plaintext byte array into second data.

The disclosure provides methods and apparatus for training and executing a reinforcement learning, RL, algorithm configured with multiple reward functions to perform a task in a communication network (1000) The method (100, 500) comprising, the first network node (1100) transmitting (103, 503) a first message, to the second network node (1200), comprising parameters of the RL algorithm. The first network node (1100) receiving (104, 507) a second message, from the second network node (1200), comprising one or more observations. The first network node (1100) updating (105, 508) the parameters of the RL algorithm based on the received one or more observation. The first network node (1100) performing (106, 509) the transmitting, the receiving and the updating iteratively until a stopping criterion exceeds a threshold and storing (107, 510) the updated parameters of the RL algorithm.

The invention provides an old city pattern recognition and updating method and system based on multi-source data fusion, and the method comprises the steps: collecting a multi-source data set, analyzing n-hour activity cycle characteristics, and generating a time period thermodynamic diagram; identifying a community structure by using a graph neural network, outputting social topology, and quantifying a texture evolution track by using a dynamic attitude model; quantizing the traditional spatial pattern by using a landscape sight line algorithm, and outputting a dynamic pattern recognition result; and configuring aging facilities by using a population adaptation algorithm, optimizing industrial layout by using a location entropy algorithm, and generating a micro-update scheme. According to the method, a space-time-society-ecology four-dimensional dynamic pattern recognition system is constructed; spatial pattern quantization and weight adjustment are realized by innovatively using a landscape sight line algorithm, and the traditional limitation is broken through; and finally, a tensor decomposition algorithm is used for fusing the configuration and optimization scheme, a micro-update scheme is generated, an update strategy is formed through iterative optimization, complex requirements are accurately responded, and the old city pattern recognition scientificity and the update scheme implementation efficiency are improved.

The invention discloses a resource optimization method and system for decision making of a main processor and scheduling in an audio processor. The method comprises the following steps: acquiring processor load information when the audio processor performs audio processing on multiple audio input channels and channel feature information of each audio input channel; when the processor load information meets a preset load condition, the main processor determines an adjustment result of audio processing configuration according to a preset resource optimization rule based on the processor load information and the channel feature information; the main processor generates and sends a control instruction to the audio processor according to the adjustment result; and the audio processor updates the sound mixing routing relationship in the internal scheduling according to the control instruction, and carries out switching or intensity adjustment on the processing link of each channel according to the processing algorithm configuration. According to the technical scheme, the continuity and the stability of conference audio processing are improved on the premise of not changing a hardware structure.

The invention discloses an MZI-based space division multiplexing convolution parallel computing method, which comprises the following steps of: configuring an MZI array through an in-situ training algorithm, and enabling the MZI array to respectively present target transmission characteristics corresponding to N preset convolution kernels for incoherent light with N preset wavelengths in a single control state. When calculation is carried out, an input vector to be processed is coded into incident power of light of N wavelengths and injected into the array, the superposition value of the light power of each wavelength is directly detected at an output port of the array, and the superposition value is an N-path parallel convolution result. The system of the invention correspondingly includes an incident layer, a multi-wavelength operating MZI array, and a summing layer. According to the method, the calculation parallelism degree can be improved by N times without increasing hardware overhead, the unitary matrix limitation of a traditional MZI array is broken through, the calculation density and the hardware utilization efficiency are remarkably improved, and the method has wide application prospects in the field of photon calculation.

The embodiment of the invention relates to an information aggregation processing method and device, equipment and a medium, and the method is applied to an aggregation server side and comprises the steps that an event corresponding to an abnormal file is obtained, the event is obtained by analyzing the abnormal file through an analysis server side, and the analysis server side and the aggregation server side are independent of each other and communicate with each other; an aggregation algorithm corresponding to the event type of the event is obtained, and the aggregation algorithm is dynamically configured through an aggregation engine; and performing aggregation processing on the events based on an aggregation algorithm. According to the method, the aggregation server and the analysis server which are mutually independent and communicate with each other are arranged, analysis and aggregation processing are completely separated, the influence of analysis on aggregation during large flow is avoided, the efficiency of event aggregation is effectively improved, an independent aggregation engine is introduced for dynamic configuration of an aggregation algorithm, code modification and release are not needed, and the efficiency of event aggregation is improved. The algorithm configuration cost is greatly reduced, and the algorithm configuration efficiency and flexibility are improved.

The application discloses a general neural network creation method, device, platform, medium and equipment, and belongs to the field of deep learning. The method comprises the following steps: processing parameters according to custom functions of a user, creating an algorithm configuration file, and integrating the algorithm configuration file into a model package; setting data processing logic of the algorithm configuration file by using the processing parameters in one or more algorithm configuration files, obtaining an algorithm inference library matched with the model package; creating a model package loading component according to a path of the model package; running a specified model in the model package through a model loading interface by using the model package loading component, and setting a default running device; running the specified model in the model package through the algorithm inference library in the default running device, processing user-defined data to obtain network processing data, and creating a general neural network. The efficiency of the general neural network in running the algorithm inference library to obtain a conversion result is higher, the effect is better, and the time for actual deployment of a vehicle is saved.

The invention discloses a simulation setting system and method based on a distribution network digitization system, and belongs to the technical field of digitization simulation, and the simulation setting system comprises a digitization base module which is used for constructing a power distribution network digital twinborn body; the topology construction module is used for dynamically constructing a simulation subnet topology based on the target node of the simulation task and the electrical sensitivity; the model configuration module is used for configuring a simulation mathematical model for the power grid element model according to the parameters of the power grid element model; the algorithm configuration module configures calculation logic for the simulation task according to probability distribution characteristics of input variables in the simulation request; the task packaging module integrates simulation subnet topology, a simulation mathematical model, computational logic and initial parameters, and generates a simulation task package used for being called by an external simulation system; according to the method, the full-process automation and intelligentization of simulation setting are realized, and the simulation setting efficiency and the model fidelity are greatly improved.

Principal component analysis (PCA) accelerates and increases accuracy of genetic algorithms. In an embodiment, a computer generates many original chromosomes. Each original chromosome contains a sequence of original values. Each position in the sequences in the original chromosomes corresponds to only one respective distinct parameter in a set of parameters to be optimized. Based on the original chromosomes, many virtual chromosomes are generated. Each virtual chromosome contains a sequence of numeric values. Positions in the sequences in the virtual chromosomes do not correspond to only one respective distinct parameter in the set of parameters to be optimized. Based on the virtual chromosomes, many new chromosomes are generated. Each new chromosome contains a sequence of values. Each position in the sequences in the new chromosomes corresponds to only one respective distinct parameter in the set of parameters to be optimized. The computer may be configured based on a best new chromosome.

The invention discloses a media data processing method and system, a cluster, a storage medium and a program product, and relates to the technical field of cloud computing. In media data processing, the cloud management platform creates a media processing template based on the AI model and the transcoding parameter included in the algorithm configuration request. And under the condition that the cloud platform receives a first request sent by the client, the cloud platform processes first media data indicated by the first request according to the media processing template to obtain second media data. A user configures the AI model in the media task processing process by himself, so that the flexibility and applicability of the media processing template are higher. Moreover, the AI models which can be used by the user comprise the AI model preset in the cloud platform and the AI model customized by the user, so that the adaptation degree between the media processing template and the media processing scene can be improved by increasing the data size of the AI models which can be used, and the reliability of a media processing result can be ensured.

The invention discloses a dynamic negotiation-based self-adaptive secure communication method and system for an internet of things device, the internet of things device and a storage medium, and the method comprises the steps that the internet of things device exchanges a security context through a first packet, and receives and updates a security configuration issued by a cloud in real time; the Internet of Things equipment reads and starts a corresponding encryption algorithm from the local or directly selects a plaintext transmission mode according to the negotiated algorithm configuration; the Internet of Things equipment dynamically manages the secret key, and decides to execute secret key derivation or read the cache secret key for encryption and decryption according to the updating period; the Internet of Things equipment analyzes the security context, obtains corresponding secret keys and algorithm parameters according to configuration requirements, and executes encryption or plaintext transmission; when the security context is changed, the Internet of Things equipment immediately updates an encryption and decryption algorithm adapter of uplink and downlink messages; and after the message is encrypted and decrypted, packaging the message body according to a preset message packaging format and then sending the message body. According to the invention, the communication efficiency and interoperability are improved by optimizing the communication process.

The application discloses a kind of MZI-based space division multiplexing convolution parallel computing method, including, by in situ training algorithm configuration one MZI array, make it in single control state, to N kind of preset wavelength non-coherent light respectively present with N corresponding target transmission characteristics of preset convolution kernel.For calculation, the input vector to be processed is encoded as the incident power of N wavelength light and injected into the array, and the superposition value of the power of each wavelength light is directly detected at the output port, which is the N parallel convolution result.The system of the application correspondingly includes an incident layer, a multi-wavelength working MZI array and a summation layer.The application can improve the calculation parallelism by N times without increasing hardware overhead, and breaks through the unitary matrix limitation of traditional MZI array, significantly improves the calculation density and hardware utilization efficiency, and has wide application prospect in the field of photonic computing.

The application discloses a cross-center collaborative task dynamic planning method based on a pipeline mechanism, and steps of the method comprise the following steps: 1) according to a collaborative requirement, arranging a data source and a collaborative model algorithm, and configuring a cross-center collaborative computing task; 2) dividing the cross-center collaborative computing task into subtasks according to whether data migration behavior will be generated, and forming a DAG (Directed Acyclic Graph); 3) according to the DAG, dividing different data sources into different subtasks; 4) when a subtask T is allocated with a data source D, the subtask T is sent to a data center where the data source D is located to be executed; for a subtask T' which is not allocated with a data source, according to execution conditions of an upstream subtask of the subtask T' and resource conditions of each data center, a data center for executing the subtask T' is determined, and then the subtask T' is sent to the corresponding data center to be executed. The application realizes efficient arrangement and execution of cross-data-center collaborative tasks for complex analysis scenarios.

The invention provides a post-quantum hybrid certificate full life cycle automation system and a control method, and relates to the technical field of network security. A context and a security policy of a client are dynamically collected in a TLS handshake process through an adaptive handshake module, and are transmitted to a policy engine module. The strategy engine module intelligently selects an optimal post-quantum hybrid algorithm suite from a plurality of candidate algorithm suite according to the dynamic information, so that the defect that the traditional fixed algorithm configuration cannot adapt to a heterogeneous network environment is overcome, the problem of performance bottleneck or over-high energy consumption possibly occurring on resource-limited equipment is avoided, and the system performance is improved. The hybrid certificate automatic composer can automatically execute application, deployment and alternation of post-quantum hybrid certificates according to instructions of a strategy engine module, and solves the problems of complex certificate management, difficult algorithm adaptation, high security deployment risk and the like in a post-quantum cryptography migration process. And effective technical support is provided for smooth and safe transition to the post-quantum cryptography era.

The application relates to the technical field of algorithm design, and provides an algorithm design method, device, electronic equipment and computer readable storage medium, which comprises the following steps: obtaining an algorithm configuration request parameter, wherein the algorithm configuration request parameter carries an application code mark; determining a target application program corresponding to the algorithm configuration request parameter from a preset algorithm platform according to the application code mark; obtaining an operator list corresponding to the target application program from a preset memory mapping table according to the target application program, wherein the operator list carries stage execution sequence information used for representing an execution sequence of the operators; determining a corresponding executor combination according to the stage execution sequence information; and performing processing on the operator list based on the executor combination to obtain an algorithm execution result. Through the above technical scheme, the coupling of each module in algorithm design can be reduced, and the efficiency of algorithm development and design can be improved.

The invention relates to the technical field of partial discharge positioning, and particularly discloses a switch cabinet discharge point coordinate resolving method based on electromagnetic pulse and time difference positioning, and the method comprises the following steps: initializing a self-adaptive structure model and a drift compensation reference of a switch cabinet, and building a multipath matching database; and acquiring a multi-source synchronizing signal in the switch cabinet, and generating a four-dimensional hierarchical label according to the characteristic parameters of the multi-source synchronizing signal and the health degree monitoring result of the sensor. According to the electromagnetic pulse and time difference positioning-based switch cabinet discharge point position coordinate resolving method, through dynamic sampling and algorithm configuration driven by a four-dimensional hierarchical label, a system can adaptively adjust a processing strategy when various drifts or signal quality fluctuates occur in a sensor; for example, edge preserving filtering is adopted, noise is restrained, meanwhile, the pulse rising edge gradient is maintained, and the stability of the positioning precision under the non-ideal working condition is achieved.

This application provides an algorithm configuration method and related apparatus to reduce the development cost of algorithm configuration interfaces. The method includes: obtaining a first algorithm configuration file corresponding to a first algorithm, the first algorithm configuration file including parameter information corresponding to at least one first parameter of the first algorithm, each parameter information corresponding to a first parameter including information corresponding to a parameter configuration template; obtaining a first configuration interface corresponding to the first algorithm based on the first algorithm configuration file; obtaining a second algorithm configuration file corresponding to a second algorithm, the second algorithm configuration file including parameter information corresponding to at least one second parameter of the second algorithm, each parameter information corresponding to a second parameter including information corresponding to the parameter configuration template; and obtaining a second configuration interface corresponding to the second algorithm based on the second algorithm configuration file.

The application relates to an intelligent comprehensive edge solution gateway system and a data processing method thereof, which comprises the following steps: a multi-source data acquisition module is used for accessing digital communication signals and analog sensing signals and outputting heterogeneous data; an edge preprocessing unit is used for generating engineering quantity data; an edge solution engine is used for performing real-time feature extraction and evolution determination on the engineering quantity data to generate state feature data; a local trigger controller is used for driving a physical output interface to perform a response action; and a cloud interaction management module is used for uploading the state feature data and a response action record, and receiving an algorithm configuration instruction and a parameter threshold update package; in summary, the local edge processing module is used for realizing data synchronization, feature extraction and local triggering, the real-time bottleneck and network dependence problems can be solved, the data processing real-time performance is improved, the network bandwidth occupation is reduced, the local decision-making capability is enhanced, and the dependence on cloud decision-making is reduced.

The application provides an old city pattern recognition and updating method and system based on multi-source data fusion, and the method comprises the following steps: collecting multi-source data sets, analyzing n-hour activity period characteristics, and generating a time period heat map; identifying community structure by using a graph neural network, outputting a social topology, and quantifying texture evolution trajectory by using a dynamic degree model; quantifying traditional spatial pattern by using a landscape view algorithm, and outputting a dynamic pattern recognition result; configuring old-age adaptation facilities by using a population adaptation algorithm, optimizing industrial layout by using a location entropy algorithm, and generating a micro-updating scheme. The application constructs a four-dimensional dynamic pattern recognition system of "space-time-society-ecology"; innovatively realizes spatial pattern quantification and weight adjustment by using a landscape view algorithm, breaks through the traditional limitations; finally, the micro-updating scheme is generated by using a tensor decomposition algorithm to fuse and optimize the configuration and optimization scheme, and the updating strategy is formed by iterative optimization, which accurately responds to complex demands, and improves the scientific nature of old city pattern recognition and the implementation efficiency of the updating scheme.

The application discloses a neural network-based data processing method, device, platform, medium and equipment, and belongs to the field of data processing. The method comprises the following steps: data definition is performed on to-be-processed data, and an object instance is created; a parameter interface pre-encapsulated by the object instance is called to set parameters of the object instance, and object parameters are obtained; the object parameters and the object instance are simultaneously input into a neural network by calling a function processing interface, the to-be-processed data is preprocessed in the neural network by using an algorithm reasoning library, preprocessed data is obtained, and the preprocessed data is output by calling a data output interface; the neural network performs optimization processing on the preprocessed data by using an algorithm configuration file and the algorithm reasoning library, and processing data is obtained; and the processing data is post-processed according to user pre-defined parameters, and standard processing data is obtained. The application does not need algorithm conversion, is simple and efficient, and saves the actual deployment time of a vehicle.

A method, apparatus, computer storage medium, and terminal for system upgrade are disclosed. In this embodiment, configuration data of a first software is written into a pre-built database, and the configuration data of the first software is stored in a conventional format specified by the database. When a DCS upgrade is required, the configuration data in the conventional format of the configuration database is read, and an algorithm configuration sub-component is integrated into the second software according to the data transmission protocol of the second software. This avoids the difficulties in DCS upgrades caused by inconsistencies in the data transmission protocols between the algorithm configuration sub-component and the engineering management sub-component, and by changes in the data transmission protocol during the upgrade process, thus realizing the upgrade processing of the DCS software.

The invention discloses a memory controller and an operation method thereof, a storage system and an electronic system, and belongs to the technical field of storage. The memory controller includes: a storage device configured to store a firmware algorithm; the algorithm execution hardware comprises an operation expression, and the operation expression is obtained according to firmware algorithm configuration; and the processor is connected with the storage device and the algorithm execution hardware, and the processor is configured to call the algorithm execution hardware to execute the arithmetic expression to obtain an operation result of the firmware algorithm when the firmware algorithm is executed. According to the memory controller, the execution of the firmware algorithm can be realized through the combination of the arithmetic expression and the algorithm execution hardware, the execution of the firmware algorithm can be realized without preparing a special circuit, and the flexibility and the universality are relatively high. If the firmware algorithm needs to be updated, execution of the updated firmware algorithm can be realized only by reconfiguring the arithmetic expression included in the algorithm execution hardware according to the updated firmware algorithm, a circuit does not need to be changed, and the cost is relatively low.

Systems and methods described herein involve application programming interface (API) management of information retrieval, which can include generating descriptions for each API on an API list, the generating the descriptions involving executing queries on the API list based on API documentation or API specifications; executing natural language processing to extract input examples and corresponding meanings, and output examples and corresponding meanings for the each API in the API list; and generating the descriptions for the each API on the API list from the input examples and corresponding meanings and the output examples and corresponding meanings. Generating an API execution scenario can involve providing the generated descriptions and user query history to a machine learning algorithm configured to extract similar APIs to the user query history to generate the API execution scenario comprising the extracted similar APIs. Such API execution scenarios are then subsequently executed in response to user queries.

The invention discloses a configuration method of an encryption algorithm, computer equipment and a management system of the encryption algorithm. The method comprises the following steps: receiving an encryption algorithm configuration request of a target program; determining a target encryption algorithm based on the encryption algorithm configuration request; detecting whether a password module corresponding to the target encryption algorithm exists or not; under the condition that the password module corresponding to the target encryption algorithm exists, calling the password module through an application program interface (API), updating a configuration file corresponding to the target program, and obtaining a target configuration file corresponding to the target program; and determining that the configuration of the target encryption algorithm is ended under the condition that the updating of the configuration file corresponding to the target program is ended. The technical problems of low switching efficiency and poor flexibility of the encryption algorithm caused by long transformation period of the current encryption algorithm in an enterprise and difficulty in centralized scheduling due to decentralized management are solved.

The application discloses a file processing method, device, equipment, medium and product, which comprises the following steps: obtaining a first file (such as a PDF file in horizontal version) and a second file (such as a PDF file in vertical version), the first file and the second file are generated based on the same document (such as the algorithm configuration page document of a certain project), the format corresponding to the first file is different from the format corresponding to the second file, the content corresponding to the first page in the first file in the document is the same as the content corresponding to the second page in the second file in the document; obtaining quality information of the first page and quality information of the second page, the quality information indicates the quality of the page content; in response to the fact that the quality information meets a preset condition (for example, the preset condition indicates that the quality of the page content of the second page is higher than the quality of the page content of the first page), the first page in the first file is replaced by the second page, and the quality of the PDF file is improved.