123 results about "Fixed field" patented technology

The invention relates to the technical field of textile informatization and block chain encryption traceability, in particular to a textile quality block chain encryption traceability method, which comprises the following steps of: implanting quantum dot-nucleic acid mixed fingerprints into yarns in a spinning stage and generating distributed identities; in the production link, process data are collected in a trusted execution environment, and are packaged into an encrypted packet by using homomorphic encryption, zero-knowledge proof and threshold signature; and after a batch threshold value is reached, calculating a batch commitment and a fragmentation commitment, fragmenting through erasure coding, writing the commitment and the proof into the directed acyclic graph according to a fixed field, and confirming through a Byzantine fault-tolerant consensus. Consumer off-line fingerprint comparison and homomorphic verification can realize authenticity identification, and after networking, batch certification is verified and credits are pledged. And when the time lock expires, the historical quality data is decrypted by multiple subjects in a combined manner, and maintenance suggestion hash is generated and written into subsequent transactions, closed-loop tracing from production to maintenance is realized, and anti-counterfeiting, privacy protection and quality improvement are realized at the same time.

The invention provides a standardized data processing method based on a large model, electronic equipment, a storage medium and a computer program product, and the method comprises the steps: generating a standard field semantic vector through large model coding field name character string input, a field value sample list and context structure information of a field; calculating a semantic offset degree between the semantic vector of the field to be standardized and the semantic vector of the standardized field, and generating a successfully matched field pair set and a normalized failed field set; obtaining a historical standard version, and generating an optimal field and maximum score version mapping set; semantic positioning is carried out in the maximum score version according to the optimal field, and a matching field is calculated; and obtaining standard mapping field information under the current version based on the mapping rule table of the matching field, and outputting the standard mapping field information. The problem that a traditional rule system depends on a fixed field and is not sensitive to version change is solved.

The invention belongs to the technical field of radar human body tracking and recognition, and particularly relates to a rotary millimeter wave radar human body tracking and recognition device and method. The millimeter-wave radar module is mounted on the rotating holder module, and the main beam direction of an antenna in the millimeter-wave radar module is perpendicular to the rotating shaft; the millimeter wave radar module is connected with the control module, and the embedded processor is internally provided with a point cloud data processing algorithm and an identity recognition neural network which are used for overcoming the influence of environmental noise and multipath effect on data quality. The problems of fixed field angle and limited monitoring range of the traditional millimeter wave radar are effectively solved; and through an improved data processing algorithm and an identity recognition neural network, the influence of environmental noise and a multipath effect on data quality is overcome, and the reliability and adaptability of the system in a complex scene are remarkably improved.

The invention provides a three-port semantic communication architecture optimization method introducing a semantic mapping end, and belongs to the technical field of information processing. The technical problem that semantic communication service content is not beneficial to explanation, supervision and integration is solved. According to the technical scheme, the method comprises the following steps: S1, constructing and training a multi-modal semantic coding model; s2, constructing and training a multi-modal semantic decoding model; s3, constructing a requirement test on the precision and dimension of the high-compression floating point format vector in a fixed scene; s4, fixing a service scene; s5, according to the collected business original multi-modal data; s6, collecting coded data corresponding to the original multi-modal data of the service according to the step S4; s7, constructing and training a mapping model from the coded data to the text or label data; s8, realizing a normal semantic communication system transmission process; and S9, executing subsequent supervision or processing operation. And more research and optimization spaces are provided for a future semantic communication system.

One or more embodiments of the invention provide a security situation assessment method of a power network and related equipment. The method comprises the following steps: acquiring network security situation data of a plurality of nodes in a power network, the network security situation data being extracted according to a preset fixed field; constructing a security situation data knowledge graph according to the network security situation data; inputting the network security situation data set into a situation assessment model to obtain a situation assessment result; wherein the situation assessment model comprises a graph convolutional neural network layer and a transformer layer. Through the method, the power network security situation assessment effect can be effectively improved, so that the security performance of the power network is improved.

The invention relates to the technical field of intelligent remote control, and discloses a multi-machine collaborative management and control method for coal mine fully-mechanized excavation, fully-mechanized mining, main transportation, auxiliary transportation, production assistance, power supply and distribution and other fixed scenes, and the method comprises the following steps: S1, system architecture design: constructing a multi-machine collaborative management and control system, by means of a special multi-element sensing and control module configured for each equipment unit in a fixed scene, a central control system serves as a coordination center, and autonomous operation is achieved by means of an edge computing center control module of the central control system under the condition of communication interruption or delay; s2, real-time sensing and data fusion: integrating deployed sensors in existing equipment, and collecting equipment operation condition states and environment information; a self-learning function and a distributed data storage mechanism are introduced into the edge computing device, so that self-adjustment and optimization of each device in a complex coal mine environment are realized, local data sharing and self-adaptive control can still be realized even under the condition of communication interruption or delay, and continuity and safety of operation are ensured.

The embodiment of the invention belongs to the field of artificial intelligence and action recognition, and relates to a behavior discrimination method, which comprises the following steps: acquiring a target monitoring image sequence, carrying out holding detection processing on target monitoring images, generating holding detection images corresponding to the target monitoring images, carrying out content discrimination processing on the holding detection images, and judging whether the holding detection images correspond to the target monitoring images or not. The method comprises the following steps: acquiring a holding detection picture to obtain a content judgment result, performing joint detection processing on the holding detection picture to obtain an action judgment result, and determining a target shooting behavior based on the content judgment result and the action judgment result. The invention further provides a behavior judgment device, computer equipment and a storage medium. According to the invention, the method can achieve the automatic and refined human stealing behavior in a fixed scene through the content discrimination result and the action discrimination result, thereby accurately and rapidly providing an early warning capability for the leakage of privacy information.

The invention discloses a communication protocol automatic analysis and test data generation method and system, and the method comprises the steps: analyzing an unstructured protocol document, recognizing a fixed field and a variable field in the document, and outputting structured data; automatically generating test data based on the structured data, dynamically calculating a checksum according to a specified check algorithm type in the structured data, and filling the checksum into the original message to form a complete test message; and generating a standardized test data set according to the complete test message. According to the method, manual intervention is not needed from document analysis to test data generation, the analysis efficiency is improved, and most protocol scenes are covered through the boundary value, the abnormal value and the orthogonal combination strategy. The method supports various document formats, data types and verification algorithms, adapts to protocol standards of different industries, facilitates problem positioning and regression testing through standardized output documents, and reduces the maintenance cost.

The invention relates to the technical field of data processing, and particularly discloses a city data visualization method and system based on Beidou grid codes. The method comprises the following steps: acquiring city data from a plurality of data sources, wherein the city data comprises a data type, position information of a data acquisition point and data content; determining the grid hierarchy of the city data at least according to the data type of the city data; determining a grid unit corresponding to the city data in combination with the grid hierarchy and the position information of the data acquisition points; mapping the city data into the fixed fields of the determined grid units, and generating a grid model of the city data; processing the data of the same grid unit or multiple grid units, and determining data to be displayed; based on the grid model and the to-be-displayed data, drawing an initial display graph and each detail display graph; and outputting the initial display graph and each detail display graph. Based on the method and the device, the city data visualization precision and efficiency can be improved.

The invention relates to the field of computer information security and access control, and discloses a block chain power data security sharing method. The method comprises the following steps: acquiring a data field list, a measuring point list and a configuration mapping table, executing naming specification, time anchor registration and de-identification processing, and forming a fixed field sequence and an on-chain index record structure; based on context legality verification and policy mapping, generating an access constraint policy and completing generation and binding of a one-time session token, solidifying a policy snapshot on a contract side and registering a validity period; zero-knowledge proof is constructed, witness materials are assembled, and dual-channel checking, event account falling and failure evidence registration are carried out through a verifiable session smart contract; and an end-to-end key negotiation and control channel is established, so that safe data minimum access and result sealing are realized. According to the method, credible sharing and traceable access of the power data among multiple subjects are realized, and the data security, compliance and chain governance capability are improved.

The invention provides a treatment head angle distribution method and system for a multi-beam radiotherapy system, and belongs to the technical field of medical equipment, and the method comprises the steps: obtaining ray beam angle data used for the treatment of a patient; inputting the obtained ray beam angle data into an angle distribution optimization model for solving to obtain a treatment head angle distribution result; wherein the angle of each treatment head is represented by a single variable, the allowable change range of the angle is defined as a constraint condition of the variable, the consistency between the treatment angle provided by a treatment machine and the angle required by treatment is defined as an optimization objective function, and an angle distribution optimization model is established; and adjusting the treatment head based on the obtained angle distribution result of the treatment head to enable the treatment head to be at an angle required by treatment. According to the invention, the relative angle relation between the ray beam directions is determined, so that the ray beam angle of the flash radiotherapy machine meets the radiotherapy requirements of tumors at different parts of different patients, and the irradiation angle required by fixed field intensity modulated radiation therapy of all patients is accurately realized.

The invention relates to the technical field of identity authentication, in particular to a user identity authentication method and system for communication software, which comprises the following steps of: acquiring an identity authentication request data packet in a communication protocol, decoding identity authentication field information, extracting a fixed field, a dynamic field and a variable field, and calculating a data bit offset value; and carrying out structure mapping and obtaining an identity verification field mapping result. According to the invention, through deep analysis of the identity verification request data packet, extraction and mapping of the identity verification field structure, improvement of the analysis accuracy and construction of the matching feature matrix, verification of the data format and content is more targeted, the possibility that abnormal data bypasses verification is reduced, the session continuity is evaluated in combination with historical session data, and the verification efficiency is improved. The adaptability of identity authentication to dynamic behaviors is improved, context consistency is calculated, keyword deviation degree judgment is performed, identity authentication strength is adjusted, identity authentication dynamically adapts to user behavior changes, interaction experience is improved, and safety is enhanced.

The invention provides a large-view-field high-resolution compound eye camera array system based on bionic human eye vision. The system is composed of a curved surface support and an industrial camera array arranged on the curved surface support. Reverse extension lines of optical axes of all the cameras intersect at the same point to form a concave surface structure similar to the retina, and the fixed view field overlapping rate of the adjacent cameras is kept. The industrial camera array is used for collecting a target scene image, large-view-field information is obtained by fusing and splicing all camera images, and a high-resolution image is obtained by conducting super-resolution reconstruction on a plurality of related images in a view field center interested area. The system provides three working modes, namely a low-resolution mode, a conventional-resolution mode and a super-resolution mode, which can be switched by adjusting camera parameters. Finally, the system can perceive the dynamic change of the edge of the field of view in a high-frame-rate and low-resolution mode, magnify the details in the center of the field of view in a super-resolution mode, realize efficient non-uniform imaging, and optimize the information acquisition and processing efficiency and the structure compactness.

The invention relates to the field of voice signal processing, in particular to a multi-language interactive learning system based on voice recognition, which is characterized in that sound waves and mouth shape images are synchronously acquired and discretized by the system, and cross-modal coding is formed after alignment; secondly, the code is injected into a micro-ring photon reserve network through phase modulation to unfold time sequence characteristics, the code is mapped into a quaternion graph to be embedded, and segment boundaries are extracted through a diffusion-pulse coupling method; then, according to a fixed field sequence, encapsulating the quaternion graph embedding and segmentation data into an object mark prompt, inputting the object mark prompt into a low-rank adaptive language model, and generating semantic segmentation data and text transcription; and finally, the adaptive learning module implements sparse gradient updating on the low-rank weight and pulse network by using an integer fractal hash exclusive-or difference mask, and adopts support-query element learning for synchronous iteration after user clarification. According to the system, low-power-consumption, high-precision and second-level accent self-adaptive multi-language voice interaction is realized on the end side.

The invention provides an information interaction system and method for a satellite load and an on-satellite computer, and relates to the technical field of satellite communication, and the system comprises a satellite communication transmitting end and a satellite communication receiving end. The satellite communication sending end is used for filling field values in a plurality of fixed fields to obtain a request message, the plurality of fixed fields comprise a message type, a message serial number, a CRC field and a data field, and the data field comprises an effective data value and filling bytes used for supplementing the length of the field; the satellite communication receiving end is used for analyzing the received request message, filling a plurality of fixed fields with field values according to the message type of the request message to obtain a first response message representing that the request message is successfully responded or a second response message representing that the request message is failed to be responded, and sending the first response message and the second response message to the satellite communication receiving end; and returning the first response message or the second response message to the satellite communication sending end. In the instruction transmission process of the satellite load, a balance point is found between the reliability and the transmission speed.

The present invention concerns a charged particle beam therapy system comprising: • a patient unit (10), • an accelerator unit (20) configured for accelerating charged particles, • a beam transport system (30) configured for guiding the particles beam of energies (Ej) varying between 40 and 450 MeV / u, along corresponding beam trajectories (40e) centred on a median trajectory (40m) to a target (11) located within the patient unit (10), wherein the beam transport system (30) comprises, • a bending unit (33) comprising a gap (33g) between poles (33p) of a fixed field dipole configured for receiving and bending the median trajectory (40m) in a bending plane (Y, Z). The beam transport system (30) further comprises an upstream steerer (35u) located upstream of the bending unit (33) and configured for deflecting the beam trajectories (40e) away from the median trajectory (40m) in the bending plane (Y, Z). A magnitude of the uniform magnetic field (B35) in the upstream steerer (35u) can be controlled to vary an entry position (Yij) and an entry angle (θ33i) of the beam trajectory at the bending unit inlet (33i) as a function of a beam energy (Ej,) of the particles beam.

The invention relates to a turnover hoisting mechanism and a turnover hoisting method, and relates to the field of building construction, the turnover hoisting mechanism comprises a hoisting frame, a hoisting assembly and a turnover assembly, the hoisting assembly is fixedly or detachably connected with the hoisting frame, and the turnover assembly is fixedly connected with the hoisting frame. The overturning and hoisting method adopts the overturning and hoisting mechanism to overturn and hoist the prefabricated part. The overturning and hoisting mechanism has the beneficial effects that when the overturning and hoisting mechanism is used for overturning or hoisting, only a hoisting belt or a rope connected with a hoisted object needs to be replaced, the working efficiency of hoisting transportation and overturning operation of the integrated module house and the large building component is improved, the investment of production equipment is saved, the equipment is light, convenient to move and low in cost, and the production cost is reduced. And a fixed field is not occupied.

A media detection system receives a video corresponding to a fixed field of view. The media detection system may receive user input indicating one or more object types to identify or a subset of the video within which to identify objects. The media detection system applies one or more machine-learned classifiers to frames of the video and creates a summary video that includes the background of the video and identified instances for simultaneous playback within the fixed field of view. The media detection system may also identify instances of objects in a live video stream and use the identified instances to respond to user questions. The media detection system applies a language model to questions to identify the subject matter of the questions, identifies content within the live video stream associated with the subject matter, and uses the identified content to respond to the user's question.

The utility model discloses an energy-saving heat preservation water tank fixing device, which relates to the field of heat preservation water tank installation and fixation and comprises a fixed supporting seat, and at least three supporting legs for supporting and stabilizing the fixed supporting seat are connected to the periphery of the bottom end of the fixed supporting seat; a channel opening for the heat preservation water tank to pass through is formed in the fixed supporting base in a penetrating mode, a supporting disc for stably supporting the heat preservation water tank is arranged below the channel opening, and the supporting disc is used for stably supporting the bottom end of the heat preservation water tank. The supporting disc is fixedly connected with the fixed supporting seat through a plurality of connecting rods; a clamping structure used for clamping and limiting the heat preservation water tank is installed and connected to the top end of the fixed supporting base. According to the fixing device, the heat preservation water tank can be supported and fixed, and the situation that water in the heat preservation water tank leaks due to movement in the using process is avoided; in addition, the fixing device is convenient to assemble and disassemble, low in manufacturing cost, capable of being recycled and environmentally friendly.

A label feed system (15) for a labeling machine (1) is described, the label feed system (15) comprising: a sensor device comprising an optical sensor (17) having a fixed field of view (FV); a feed roller (11) for longitudinally feeding a web (4) of labeling material along a feed path (P) and through said field of view (FV), the web (4) comprising a plurality of longitudinally connected labels (3), each label (3) having a plurality of longitudinal portions and an aesthetic feature (AF) arranged at a determined longitudinal portion; and a reference member (16) fixed with respect to the feed path (P) and the field of view (FV) and arranged within the field of view (FV); the sensor device is configured to operate in a production mode according to which, for each label (3), the optical sensor (17) sequentially acquires an image (I) of the field of view (FV) at said determined longitudinal portion to detect a linear distance between the respective aesthetic feature (AF) and the reference member (16); the sensor device is further configured to operate in a recovery mode according to which the optical sensor (17) acquires a plurality of images (I1, I2, I3) of the field of view (FV) for searching for an aesthetic feature (AF), where each image (I1; i2; i3) of the plurality of images comprises at least one longitudinal portion which is different from the other images (I2, I3; i1, I3; i1, I2) to inspect all different longitudinal portions cumulatively by a single label (3) or by a plurality of labels (3a, 3b, 3c) during the recovery mode.

The invention discloses a strategy generation method and device, electronic equipment and a computer program product. Relates to the field of financial science and technology, and the method comprises the steps: extracting a field demand from a strategy generation task, the strategy generation task being used for indicating a generation demand of a target outbound strategy, and the field demand being used for indicating a field needed when the outbound strategy is generated; m groups of outbound fields are extracted from the data lake based on the field demand, the M groups of outbound fields are processed, processed outbound fields are obtained, the M groups of outbound fields at least comprise fixed fields and user feature fields, and M is a positive integer; and processing the processed outbound field to obtain a target outbound strategy. Through the method and the device, the technical problem of low generation efficiency when the outbound policy of the financial institution is generated in related technologies is solved.

The invention discloses an industry application-oriented task custom field configuration system and method, and the system comprises a form basic information module which is used for storing and managing task type data and is a basic information base of the system; the custom field module is used for managing custom field metadata configured by a user and supporting various operations and attribute management of fields; the form field binding module is used for dynamically binding and synchronizing custom fields configured on the visual interface by a user and the task type data table; and the task data storage module is used for carrying out associative storage on the task basic information and the custom field information and providing an efficient data retrieval function. According to the method, the user is allowed to autonomously define and configure other business fields except the fixed field in the task according to the actual special requirements of the industry, the task information storage range is effectively expanded, and the applicability and flexibility of the system are also remarkably improved.

The invention discloses a wide table data analysis method and system based on semantic association, and the method comprises the steps: receiving a natural language query demand input by a user, carrying out the semantic understanding through a pre-training language model combined with a financial knowledge graph, and generating a corresponding semantic expression; performing semantic analysis on the semantic expression, and disassembling the semantic expression into a logic expression containing a query demand and an analysis demand; based on the logic expression of the query demand, matching a corresponding wide table and field information through a preset index library, generating an executable query statement, and obtaining target data from the wide table; and according to the logic expression of the analysis demand, generating a corresponding data analysis code by using the code generation model, and analyzing the target data to generate an analysis result. The limitation of a traditional wide table fixed association mode is broken through, efficient integration and intelligent analysis of wide table data are achieved, the flexibility and accuracy of data processing are improved, and the limitation of wide table application in a fixed scene is broken through.

The invention relates to the technical field of an austenitic stainless steel sensitization process, in particular to an in-situ dynamic observation method for the austenitic stainless steel sensitization process. Aiming at the problem that dynamic precipitation of carbides on an original grain boundary cannot be clearly and continuously captured by the existing observation means, the method is realized by the following steps of: firstly, carrying out electrolytic polishing on a sample to obtain an observation surface without a deformation layer, and ensuring that only the original austenite grain boundary is shown at high temperature; secondly, executing a thermal cycle program including rapid solid solution and controllable cooling to a sensitization temperature in the HT-CLSM, and locking a precipitation process in a target isothermal stage; finally, automatic timing image acquisition is performed on the fixed field of view during an isothermal period. The method realizes clear, dynamic and visual observation of the whole sensitization process, especially initial nucleation, reveals carbide precipitation kinetics, provides an effective tool for research of a sensitization mechanism and material evaluation, and is suitable for austenitic stainless steel.

The invention provides a method for compressing monitoring data of an FC (Fiber Channel) network switch. The method comprises the following steps of: segmenting the monitoring data of the FC network switch into a fixed field H and a load P; a knowledge base L and a compiling table D are initialized according to the format defined by the FC frame protocol, the compiling table D is used for storing all roots in the load P, and the knowledge base L is used for converting subfields in the fixed field H into set coded values; compressing the fixed field H into a first compressed encoding stream according to the knowledge base L; compressing the load P into a second compressed encoding stream according to the compiling table D; and splicing the first compressed encoding stream and the second compressed encoding stream to generate compressed monitoring data. And through the established knowledge base L and compilation table D, a relatively long character string is represented by a relatively short code, so that the compression of the monitoring data of the FC network switch is realized.

The invention relates to the field of network security, and particularly provides a method and a device for analyzing an application encryption communication protocol based on a large model. The method comprises the following steps: dividing a byte sequence in an original network traffic packet into a plurality of traffic fragments, and performing feature extraction on each traffic fragment to obtain a high-level feature matrix of each traffic fragment; clustering the plurality of high-level feature matrixes to obtain a plurality of target traffic clusters; each target traffic cluster is a traffic fragment set with similar characteristics; for a plurality of traffic fragments corresponding to each target traffic cluster, dividing the traffic fragments in the target traffic cluster into a plurality of fixed fields and a plurality of variable fields according to the probability that bytes appear at the same position in the plurality of traffic fragments; and determining field types of the plurality of fixed fields and the plurality of variable fields according to a preset classification model to obtain an analysis result representing the traffic fragment. According to the technical scheme provided by the invention, the analysis accuracy of the APP encrypted communication protocol is improved.

A non-transitory computer readable media can cause the imaging analysis computer to: obtain a 3D model of a preheater level of the preheater; obtain at least one infrared image of a fixed field of view of the preheater level of the preheater; analyze all pixels in the fixed field of view of the at least one infrared image for each pixel temperature; generate a 2D temperature model of the preheater level; overlaying the 2D temperature model over the 3D model to generate a virtual 3D preheater level temperature model; and provide a visual representation of the virtual 3D preheater level temperature model.

The invention relates to the field of education technology and intelligent systems, and discloses a college student labor practice education system based on situation embedding, comprising a situation adaptation optimization engine for evaluating student ability states and dynamically adjusting task difficulty parameters; the personalized task pushing module customizes a differentiated task list and a learning path; the real-time evaluation system generates behavior performance scores and immediate feedback; the adaptive situation generation module optimizes the follow-up task situation complexity; and the system and platform interface synchronously presents task progress and learning analysis reports. According to the method, the problems of capability mismatching and feedback lagging caused by traditional static layering are solved through real-time expression score driving task difficulty dynamic adaptation and in combination with a behavior characteristic feedback immediate adjustment strategy; synchronously constructing a situation complexity regulation and control mechanism; and a teacher adjustable interface is integrated to realize a teaching closed loop, so that the teacher deeply participates in path adjustment and optimization. Four-dimensional cooperation breaks through the limitation of a fixed scene, and the degree of participation and the migration ability are enhanced while the learning efficiency is improved.

The application provides an electronic archive verification code management method, a program product, an electronic device and a storage medium. The method comprises the following steps: acquiring fixed fields and custom metadata fields set for multiple business links of an electronic archive; signing a file verification code, the fixed fields, the custom metadata fields and a trusted timestamp by using a private key of an operation subject of a current business link to generate signature information; generating a verification code structured file according to the signature information; acquiring previous signature information of a previous business link; generating double signature information according to the previous signature information and information in the verification code structured file by using the private key, and storing the double signature information into the verification code structured file to generate a verification code associated file of the business link; and acquiring the verification code associated files corresponding to the multiple business links of the electronic archive to generate an operation track code. The recording requirements of multiple links are adapted, and the complete flow process of the archive is recorded through the inter-link association.

The application provides a three-port semantic communication architecture optimization method with a semantic mapping end, and belongs to the technical field of information processing. The technical problems of semantic communication service content being not conducive to explanation, supervision and integration are solved. The technical scheme comprises the following steps: S1: constructing and training a multi-modal semantic encoding model; S2: constructing and training a multi-modal semantic decoding model; S3: constructing a fixed scene, and testing the precision and dimension of a high compression floating point format vector; S4: fixing a service scene; S5: collecting service original multi-modal data; S6: collecting corresponding encoding data of the service original multi-modal data according to step S4; S7: constructing and training a mapping model of the encoding data to text or label data; S8: realizing a normal semantic communication system transmission process; and S9: performing subsequent supervision or processing operations. More research and optimization space is provided for future semantic communication systems.