44 results about "Code distribution" patented technology

The embodiment of the invention discloses a video encoding and decoding method and device, equipment and a medium. The method comprises the following steps: a coding end determines a mode identifier corresponding to a sub-block according to a coding mode of a target transformation block for representing binarization coding distribution of a non-zero transformation coefficient at an internal position of the sub-block, and codes the mode identifier to obtain coding information of the target transformation block, so that the coding end or a decoding end carries out decoding according to the coding information of the target transformation block, and the target transformation block is decoded. And obtaining a coding mode for representing the binarization coding distribution of the non-zero transformation coefficients at the internal positions of the sub-blocks, thereby realizing the determination of the positions of the non-zero transformation coefficients corresponding to the target transformation block. According to the technical scheme, the coding and decoding efficiency of the transform block is improved, and the video coding and decoding reliability is high.

The invention discloses a Web application anti-debugging method based on dynamic code distribution and full-link verification, which comprises the following steps of: segmenting a front-end core code, and carrying out dynamic code distribution; mixing and encrypting the segmented core code; equipment fingerprints are generated regularly to be bound with the Token; dynamic loading and execution are carried out through WASM; the server side constructs an interface calling atlas according to the service logic, and full-link verification is carried out; the terminal obtains a device fingerprint; when the server side receives the request, dynamic Token generation and verification are carried out; the request content is dynamically encrypted and returned to the front end for decryption; and real-time connection between the front end and the server end is carried out, and defense is carried out based on distributed fusing control. By combining a plurality of advanced technical means such as module dependence atlas, interface calling atlas constraint, dynamic Token and equipment fingerprint binding and the like, the difficulty of code reverse engineering is remarkably improved, illegal requests are intercepted, and a set of all-around and multi-level comprehensive defense method is constructed for Web application.

The invention discloses a cross-batch chip identity verification method, device and equipment, a medium and a product, and relates to the technical field of semiconductor integrated circuit testing. The method comprises the following steps: collecting multi-source entropy data in a chip manufacturing environment, and fusing the multi-source entropy data to generate an original random sequence; intercepting the original random sequence based on the identification code length to obtain a basic identification code, and performing anti-prediction encryption processing to obtain an encrypted identification code; writing the encrypted identification code into a non-fuse nonvolatile storage area of the chip, verifying the storage integrity in real time, and activating a self-destruction circuit to cope with a failure scene; and constructing a distributed index associated with a wafer batch number, a chip physical coordinate and a test timestamp, performing double collision detection in a layered manner, and when it is detected that cross-batch identification codes are repeated, freezing identification code distribution of a defective machine and generating a traceability chain. According to the scheme, the security and uniqueness of chip identity verification are improved, and the traceability of problems in the chip production and test process is enhanced.

A non-transitory computer readable storage medium has instructions executed by a processor to access an accounts payable invoice data set. Tuples of invoice line-items are gathered from the accounts payable invoice data set. A general ledger label is attached to each tuple to form labeled general ledger invoice line-item tuples. A single digit percentage of input information in the general ledger invoice line-item tuples is masked to form first revised general ledger invoice line-item tuples. A single digit percentage of input information in the first revised general ledger invoice line-item tuples is masked with mismatched values to form second revised general ledger invoice line-item tuples. A machine learning model is trained with the second revised general ledger invoice line-item tuples to form a trained general ledger machine learning model. An accounts payable invoice is received. The trained general ledger machine learning model is used to assign general ledger labels to items in the accounts payable invoice.

The invention discloses a calibration method and system based on an imaging system, a terminal and a storage medium, and the method comprises the steps: coding the distribution of calibration points of different sizes on a calibration plate of the imaging system, and obtaining a coded calibration plate; wherein the distribution of the calibration points in any M * M or M * N area in the coded calibration board has uniqueness, M is less than N, and M is greater than or equal to 3; acquiring a local X-ray image of the encoded calibration plate, and decoding the distribution of all calibration points according to the local X-ray image; and calibrating the parameters of the imaging system according to the three-dimensional coordinates of each calibration point in the image obtained by decoding under the calibration plate coordinate system to obtain the calibrated imaging system parameters. According to the method, the anti-shielding capability is improved through coding distribution and an automatic decoding strategy, high precision and stability can still be ensured in a complex scene in an operation, and calibration efficiency and fault tolerance are both considered.

The application relates to a long text extrapolation method and system based on period continuation of a large model, which is suitable for a ROPE position coding-based Transformer architecture model and comprises the following steps: 1) adaptively modifying a ROPE strategy; firstly, the ROPE coding strategy in the source code of the Transformer architecture model needs to be positioned; secondly, the ROPE coding strategy is updated by using an Extra-PE strategy; 2) fine-tuning the Transformer architecture model; and 3) performing reasoning by using the trained Transformer architecture model. The application converges the position coding distribution domain in a high-dimensional subspace to realize the long text extrapolation capability of the large model, and can guarantee that the attention distribution of the model in the training length window is not damaged.

A mechanical abnormality explainable intelligent detection method based on algorithm unfolding confrontation learning is disclosed, in the method, the vibration signal y of the normal operation of the mechanical equipment is collected, and is cut into a training data set according to a fixed signal length; a deep sparse coding model is established, the vibration signal y is deeply coded, and then is mapped to a d-dimensional hidden code z; the deep sparse coding model is solved by using a proximal gradient mapping algorithm, and the optimization solving algorithm is unfolded into a sparse coding network, the reconstruction from the hidden code z to the original signal is a decoding network, and the two together constitute a generator network G; a discriminator network D is constructed to constrain the distribution of the hidden code Z and match the prior distribution p(z); the generator network G and the discriminator network D are trained by using the training data set, the network parameters are updated by using a back propagation technology, and the reconstruction error of the network to the vibration signal and the gap between the coding distribution p(z|y) and the prior distribution p(z) are reduced; the test signal is input into the trained generator network G, and the authenticity of the signal is output by the discriminator network D.

The data link system based on reconfigurable metasurface RCS reduction comprises a reconfigurable metasurface antenna and a data link transceiver connected with the reconfigurable metasurface antenna. According to the reconfigurable metasurface antenna, code distribution of each antenna unit of an antenna array plane is controlled through a simulated annealing algorithm; data link system communication uses a time division system, and in a non-communication time period or a radar silence time period, a simulated annealing algorithm controls a coding phase of the metasurface to realize reduction of a scattering sectional area of the antenna, so that the reconfigurable metasurface antenna is switched to a stealth mode. According to the invention, the function integration of communication and radar stealth (RCS reduction) is realized, and the survivability of a data link platform is expanded.

The application discloses a device for reading CG two-dimensional codes. The device comprises a workbench for placing a machine body to be identified, a mounting frame fixedly installed on the workbench and being a vertical lifting structure, a reading device fixedly installed on the mounting frame, and a light source device adjustably installed on the workbench and internally provided with a ring-shaped light source. The ring-shaped light source comprises a lamp bead distribution area and a non-light source area, and the area ratio of the lamp bead distribution area to the non-light source area is 2:1. The adjusting direction of the mounting frame is the vertical direction, and the adjusting direction of the light source device is the three-dimensional direction. The light source device is provided with a fine adjustment structure for adjusting the lamp beads of the ring-shaped light source to be opposite to the two-dimensional code distribution area. When in the detection state, the light source device, the reading device and the two-dimensional code distribution area are located on the same light path, so that the identification accuracy and the imaging quality of the two-dimensional code are improved.

Techniques are described for encoding symbols using a new algorithm that provides a flexible Huffman tree approximation and can be used for low-latency encoding. For example, the new algorithm can perform encoding using one or more of the following stages: Shannon-based binning, code space optimization, tree completion, and code allocation.

The invention belongs to the technical field of communication, and particularly relates to a semantic communication method combining variable length coding and constellation probabilistic shaping, which comprises the following steps of: firstly, constructing a semantic encoder based on a mask auto-encoder framework, and designing a mask rate control function through channel state information and information source characteristics so as to dynamically adjust an information source mask rate; a self-adaptive variable-length coding mechanism is realized; according to the obtained mask rate, sampling a non-masked information source unit by adopting a maximum entropy criterion so as to reserve the information amount of the information source to the maximum extent; the constellation point optimal probability is shaped and approximated to discrete two-dimensional Gaussian distribution, and an end-to-end optimization target is deduced based on variational inference; semantic feature coding distribution is constrained through layer normalization operation to approximate Gaussian prior, so that an objective function is effectively simplified; and finally, designing a quantization modulator of semantic feature-constellation point identical distribution mapping based on finite scalar quantization, and adopting a gradient straight-through estimator to solve the non-differentiable problem of the quantization process, and finally realizing end-to-end joint optimization of the system.

The application discloses a kind of dynamic channel-based numerical control system M code control method and related equipment, it is related to numerical control machine tool and industrial automation control technical field.Numerical control equipment first extracts M code set from current program segment, then according to preset channel distribution strategy, multiple M codes in M code set are distributed to different preset logical channels.M code is delivered according to channel distribution table, avoid the complex decoding logic problem caused by writing order uncertainty in traditional multiway control, PLC program only needs to process specific range of M code for fixed channel, reduce the complexity and memory occupation of ladder diagram program.Effectively solve the technical problems that the PLC program complexity is high in the prior art due to the coupling of M code channel allocation and writing order depth, while improving parallel processing efficiency, ensure the reliability of program execution, and then realize the scalability and maintainability of numerical control system by improving the parallel processing capacity of numerical control system.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating an exit scenario output that characterizes an exit scenario for a business enterprise. In one aspect, a method comprises receiving, at an execution engine, data that represents ownership of assets by multiple participants and source code that defines distribution rules of distributing the assets over one or more steps among the multiple participants using a programming language; receiving, at the execution engine, an exit scenario input; automatically parsing, by the execution engine, the distribution rules defined in the source code into a parse tree; and interpreting, by the execution engine, the parse tree to produce an exit scenario output.

In some embodiments, the present disclosure provides an exemplary method that may include steps of receiving a request for a plurality of data items from a computing device; determining at least one pattern for at least one metric associated with the computing device; generating at least one digital code based on the at least one pattern meeting a predetermined metric threshold, the at least one digital code comprising access to a plurality of resources; assigning the at least one digital code to the computing device to form at least one assigned digital code; and allowing access to the plurality of resources to facilitate performing a domain name availability determination for the plurality of data items.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating an exit scenario output that characterizes an exit scenario for a business enterprise. In one aspect, a method comprises receiving, at an execution engine, data that represents ownership of assets by multiple participants and source code that defines distribution rules of distributing the assets over one or more steps among the multiple participants using a programming language; receiving, at the execution engine, an exit scenario input; automatically parsing, by the execution engine, the distribution rules defined in the source code into a parse tree; and interpreting, by the execution engine, the parse tree to produce an exit scenario output.

A system (200) and a method (100) for managing faults in a charging station. The method (100) includes receiving, by a processor (204), charging fault logs and counter value data associated with the charging station, and determining, by the processor (204), at least one fault that occurred in the charging station based on the charging fault logs and the counter value data. The method also includes determining, by the processor (204), an error code associated with the at least one fault using a first machine learning (ML) model. The error code specifies an error category from a plurality of error categories.The procedure also includes assigning, by the processor (204), the fault code to a corrective action stored in a diagnostic database (210) and automatically applying, by the processor (204), the assigned corrective action in order to rectify at least one fault in the charging station.

The application provides a self-service physical examination machine and an internal network data transmission feedback method, system and medium. The method comprises the following steps: generating a physical examination report, generating an encrypted identification code according to user information and performing encrypted transmission, sending a transmission state query request to the internal network, determining a transmission result according to a state code information, sending a retransmission request until the transmission is successful if the transmission fails, recording the number of requests and generating an over-transmission log, generating a log for recording and backup if the transmission is successful, generating a transmission failure information item and sending an alarm information if the final transmission fails, performing high-frequency error coding distribution statistics according to the transmission failure information item, recording to an abnormal coding queue table, updating an abnormal transmission alarm mechanism, thereby reducing the dependence on manual intervention, quickly positioning the problem source, saving operation and maintenance labor cost, improving the efficiency, and providing support for the optimization and improvement of the system.

The invention provides a data transmission feedback method and system for a self-service physical examination machine and an intranet and a medium. The method comprises the steps of generating a physical examination report, generating an encryption identification code according to user information and performing encryption transmission, sending a transmission state query request to an intranet, judging a transmission result according to state code information, if transmission fails, sending a retransmission request until transmission succeeds, recording the number of times of requests and generating an overpass log. If the transmission succeeds, a log is generated for recording and backup, if the final transmission fails, a transmission failure information bar is generated and alarm information is sent, high-frequency error code distribution statistics is carried out according to the transmission failure information bar, an abnormal code queue list is recorded, and an abnormal transmission alarm mechanism is updated. Through an intelligent retransmission mechanism, a log information cloud backup mechanism and an abnormity alarm mechanism, the dependence on manual intervention is reduced, a problem source is quickly positioned, the operation and maintenance labor cost is saved, the working efficiency is improved, and support is provided for optimization and improvement of the system.

The application provides a demediatization management method and system of electronic signature, belongs to the technical field of electronic signature, and comprises the following steps: obtaining an electronic signature database in a cloud processor; obtaining first classification features, second classification features and third classification features; classifying signatures in the electronic signature database to obtain signature classification results; generating an electronic signature distribution chain; performing signature extraction code mapping to obtain a signature extraction code distribution chain; obtaining an electronic signature encoding result; and establishing a mapping address for electronic signature mapping call management. The application solves the technical problem that the existing technology cannot classify and extract electronic signatures, thereby resulting in poor electronic signature call management effect. Through the acquisition of the electronic signature distribution chain for the call management of the electronic signature, the technical effect of improving the efficiency of the electronic signature call management and the convenience of obtaining the electronic signature is achieved.

The invention belongs to the technical field of communication data processing, and discloses a maritime emergency rescue multi-link cooperative communication guarantee system and method. Comprising the following steps: acquiring multi-link environment state data; a collaborative detection algorithm is constructed based on a multi-input one-dimensional convolutional neural network, a three-dimensional energy matrix is constructed according to the spectrum snapshot data, the collaborative detection algorithm is executed on the three-dimensional energy matrix, and a survival signal enhancement control instruction is generated; a survival service identifier is introduced into each receiving node, a special survival signal data stream is mapped to a highest priority queue, and a scheduling result is generated by adopting a scheduling algorithm; generating a dynamic emission suppression strategy, and forming a local silence window; after the survival signal data stream is successfully accessed for the first time, selecting a redundancy forwarding path, distributing forward error correction coding redundancy and a retransmission strategy, and executing fragmentation and cross-path coding distribution when the data volume exceeds a quantity threshold value; and multi-link cooperative communication guarantee for maritime emergency rescue is realized.

The invention discloses a new and old application cluster flow cutting method and device based on transaction return code distribution. The method comprises the following steps: when a current gateway receives a transaction request of an external transaction, determining that the external transaction is accepted by a new application cluster or an old application cluster; after the transaction request is routed to the new application cluster or the old application cluster, response data which is generated through service logic processing and contains a return code are received; collecting return codes of the new and old application clusters in a preset time window in real time, and constructing a dimensionalization data set containing frequency distribution of each return code; and carrying out stream cutting on the new and old application clusters according to the dimensionalized data set. According to the scheme, the problems of high delay, large subjective deviation, low-frequency transaction omission and the like caused by manual intervention can be avoided through full-automatic flow cutting.

The application provides a logistics turnover box code distribution device and method, and relates to the technical field of logistics equipment.The logistics turnover box code distribution device and method can realize automatic stacking and distribution of logistics turnover boxes, reduce the labor intensity of operators, improve production efficiency, ensure the safety of goods, and reduce equipment cost.The cylinder of the fork mechanism of the logistics turnover box code distribution device drives the first crank to swing, the first crank drives the rotating shaft to rotate, and then drives the second crank to swing, the second crank drives the traction pin to slide to the lower end of the limiting groove, at this time, the lower end of the fork swings towards the middle position of the rack by a set angle, the lower end of the fork abuts against the logistics turnover box, the force direction of the second crank on the traction pin is perpendicular to the sliding direction of the traction pin relative to the limiting groove, the fork is limited from swinging relative to the mounting seat to lock the position of the fork, the fork stably supports the logistics turnover box, and the safety of goods is ensured.

The invention discloses a layered mining borehole plugging method and system based on material performance dynamic adaptation, and relates to the technical field of borehole plugging, the method comprises the following steps: detecting a target stratum area and crack information, and defining stratum code distribution based on a crack characteristic-plugging mode; introducing a modified component, constructing a performance adapter according to the ratio of the base material to the modified component, and embedding the performance adapter into a mining central control system; and triggering a performance adapter according to the stratum code distribution, executing parallel decision and mutual verification, determining a performance optimization strategy, establishing a mapping relation, and issuing the performance optimization strategy to the material distribution equipment and the plugging equipment in a distributed manner for directional control. The technical problem that an existing plugging method cannot dynamically adjust the performance of the plugging material according to complex stratum conditions and fracture characteristics, and consequently the plugging effect is unstable is solved, dynamic optimization control over the performance of the plugging material is achieved through stratum coding distribution and the performance adapter, and the plugging effect is improved. And the stability of the plugging effect under the complex geological condition is improved.

The invention relates to the technical field of ancient building repair, and discloses a reverse engineering-based ancient building incomplete component modeling and repair scheme feasibility analysis method and system. The method comprises the steps of obtaining multi-dimensional current situation data of a target building component, and reconstructing a three-dimensional entity model of the target building component; defining an incomplete area and a real transition area; carrying out area division and identification code distribution on the incomplete area and the real transition area, carrying out identification code association on the incomplete area and the real transition area, generating a repair scheme of the incomplete area, synthesizing a complete simulation entity of the target building component and determining a simulation transition area; and based on the deviation value between the simulated transition area and the real transition area, iteratively optimizing the repair scheme until a preset threshold value is met, and outputting a final repair scheme. According to the method, the problems that traditional repair depends on subjective experience, and the repair effect is difficult to verify are solved, digital generation, virtual verification and iterative optimization of the repair scheme are achieved, and scientificity, anticipation and reliability of ancient building repair are improved.

The invention discloses a method for generating a ladder diagram of a programmable controller based on a large language model, which belongs to the technical field of programmable controllers, and comprises the following steps of: performing structured processing on a logic control demand which is described by a natural language and comprises I / O input, a control logic relationship and I / O output through a first large language model; the generated structured logic control demand obtains an I / O allocation table and an IL intermediate code through a pre-trained base large language model, the I / O allocation table represents variable information and is converted into a first element in a specific format, and the IL intermediate code is logic control information organized based on variables in the I / O allocation table and is converted into a second element in a specific format; generating the incidence relation of the ladder diagram control represented by the AOV network by traversing the IL intermediate code, and injecting the relative position information of the ladder diagram control in the generation process; traversing the AOV network to generate a second element represented by a specific format; and combining and assembling the first element and the second element to form a file of a target ladder diagram code represented by a specific format.

A media coder performs entropy coding techniques for media data coded using neural-based techniques. A media coder is configured to determine a probability distribution function parameter for a data element of a data stream coded by a neural-based media compression technique, wherein the probability distribution function parameter is a function of a standard deviation of a probability distribution function of the data stream, determine a code vector based on the probability distribution function parameter, and entropy code the data element using the code vector.

Hardware-friendly approaches to generated reference frame prediction include transform split restriction and skip texture context derivation optimization. Transform split restriction generally refers to the restriction of transform sizes available for a current block to a single transform size corresponding to a size of the current block based on the current block having been predicted using a generated reference frame. Skip texture context derivation optimization generally refers to the splitting of contexts for entropy coding distributions of a transform skip symbol for blocks predicted using generated reference frame prediction and those predicted without using same. The transform split restriction and skip texture context derivation optimization approaches disclosed herein enable effective generated reference frame prediction in a hardware coder use case by, in relevant part, preventing the unnecessary consumption of valuable bitstream space as well as the suboptimal adaptation of distribution values for entropy coding.

The invention provides an order data real-time processing method for a cake electronic coupon sales system, and relates to the technical field of data processing, and the method comprises the steps: carrying out the sequential connection processing of state monitoring points through employing an ear cutting method based on a first state monitoring point and a second state monitoring point, constructing a state closed loop of the order processing state according to the outer ear vertexes in the successive removal state monitoring point sequence; based on the state closed loop, verifying geometric characteristics of the state closed loop by adopting a point set convexity judgment algorithm, and generating inventory dynamic compensation quantity according to a convexity verification result; and updating the inventory quantity in the commodity inventory storage library in real time according to the inventory dynamic compensation quantity, and sending order completion information to a related channel system according to the message queue. According to the method, the synchronization timeliness of coupon code distribution and order states, the fault sensing accuracy and the inventory data consistency are effectively improved, and meanwhile, the user experience is optimized.

The application relates to the technical field of fault diagnosis, and relates to a multilevel fault diagnosis method and system for a communication system, which comprises the following steps: establishing three layers of node sets of a physical layer, a relay section and a multiplexing section, and longitudinal directed edges representing interlayer fault propagation relations; collecting laser bias current and optical power analog quantities, frame step-out events, B1 error code statistical values, B2 error codes and error block second counts in real time; when it is detected that the laser bias current of the physical layer node exceeds a preset aging threshold value, searching for the frame step-out event frequency change trend of the associated relay section node within a preset time window; when it is detected that the B2 error code of the multiplexing section node exceeds a preset threshold value, tracing back the B1 error code distribution characteristics of the associated relay section node, and further tracing back the optical power fluctuation characteristics of the physical layer node; and outputting fault types, fault occurrence times, single-block plugboard identification information to which the fault is located and fault confidence, so that cross-layer bidirectional tracing back and accurate positioning of faults are realized.