330 results about "Code table" patented technology

The invention provides a source code vulnerability detection method and device based on a fusion code attribute graph and electronic equipment, and the method comprises the steps: obtaining to-be-detected source code data, extracting the code representation of the source code data, and converting the code representation into the fusion code attribute graph; inputting the graph coding features of the fused code attribute graph into a vulnerability detection model to obtain a vulnerability detection result; and interpreting the vulnerability detection result based on the interpretable model to obtain a fine-grained interpretation result of the code statement related to the vulnerability in the vulnerability detection result. Compared with a traditional code attribute graph, the fusion code attribute graph has more advantages in the aspect of covering a grammar structure and a function calling relation, the context correlation of codes can be reflected more comprehensively, and support is provided for accurately recognizing complex code vulnerabilities; the interpretable model interprets the vulnerability detection result, points out code statements related to the vulnerability, provides a fine-grained interpretation result, and can help subsequent developers to quickly repair the vulnerability.

The invention discloses an urban district regulation construction management operation and maintenance method and system based on three-dimensional digital twinning, and the method comprises the steps: collecting multi-source data, including geographic raster data, BIM model data and mobile phone signaling data, of an urban district, and achieving the coordinate alignment of the multi-source data through an LM algorithm; the multi-source data generates feature data composed of coding tables defining urban features through feature engineering, and an octree is constructed based on the feature data; defining leaf nodes of the octree as voxels, and applying multi-scale convolution to each voxel to obtain super voxels with space-time labels; constructing a constraint network based on the super voxels and a construction, management or operation and maintenance specification constraint library; and judging the risk area of the city district by calculating the space-time constraint intensity of the constraint edge, and outputting a corresponding risk area list. According to the invention, the problems of multi-source data integration, real-time dynamic monitoring and risk prediction in the planning, construction, management, operation and maintenance processes of the urban district are solved.

The invention provides a storage type XSS attack detection method and device based on a large language model, and the method comprises the steps: receiving an initial cue word, inputting the initial cue word into a cue word expander, carrying out the extension of the initial cue word, carrying out the performance evaluation to screen out a cue word meeting a preset performance index, carrying out the multi-round extension and evaluation, and obtaining a detection result. Until the optimized cue word is obtained; the method comprises the following steps: receiving a to-be-detected code, generating a program dependency graph of the to-be-detected code, decomposing the program dependency graph of the to-be-detected code into a plurality of sub-graphs with consistent program structures to obtain a plurality of sub-program dependency graphs, traversing nodes in each sub-program dependency graph, and reserving an original structure of a program; the nodes are sequentially converted into an original code format to obtain code representation fragments, the code representation fragments and the optimized cue words are input into a large language model to judge whether each code fragment is an attack vector of a storage type XSS or not, and a final speculation result is obtained. The method has the advantages of low detection cost, high accuracy and high efficiency.

The invention discloses a method for realizing collaborative editing in a low-code form, which belongs to the field of collaborative editing and comprises the following steps: S1, a user logs in a low-code platform through an identity authentication system; s2, a user creates a new form on the low-code platform or selects an existing form for editing; s3, when one user starts to edit the form, the low-code platform records the editing operation of the user, and pushes the editing operation to all other users who are viewing or editing the same form in real time; s4, the low-code platform monitors concurrent editing operation, detects possible editing conflicts and provides a conflict resolution mechanism; s5, the low-code platform maintains a version historical record for each form; and S6, when the user carries out editing operation, a notification is sent to a related user. According to the method for realizing collaborative editing, collaborative efficiency is improved, authority management is refined, user experience is optimized, feedback circulation is promoted, and a conflict resolution mechanism and an effective notification mechanism are promoted.

Techniques for generating recommendations of model domain entities from a model domain for mapping to comparison domain entities from a comparison domain are provided. A model domain includes a code set of standard references codes. A comparison domain includes a code set of reference codes that include non-standard reference codes. The reference codes represent clinical and non-clinical health concepts and are represented by one or more attributes. The system generates vector embeddings for entities of the comparison and model domains by applying a vector embedding function to the attributes fields of the comparison and model domain entities. The system compares the vector embeddings of the comparison domain entity to the vector embeddings of the model domain entity to compute similarity metrics for the entity pairs. The entity pairs are presented to a user based on the similarity metrics. A selected model domain entity is mapped to the comparison domain entity.

The invention provides a context enhanced vulnerability detection method based on a large language model, and belongs to the technical field of code security detection. Comprising the following steps: S1, data preprocessing: determining a code analysis range and preprocessing code data; s2, abstract extraction of the primitive API: executing cross-function deep analysis on the basis of code representation obtained by data preprocessing, and extracting an abstract used by the primitive API as context enhancement information of vulnerability detection. And S3, large language model vulnerability detection: inputting the source code of the target function and the additional primitive API abstract into the large language model as prompts, and carrying out automatic vulnerability detection and judgment. According to the method, the accuracy of cross-function vulnerability detection is greatly improved, analysis noise and resource consumption are effectively reduced, and the code vulnerability reasoning capability of a large language model is remarkably enhanced.

The invention discloses a service sharing data processing method and system based on an SaaS platform, and relates to the field of data processing.The method comprises the steps that a service data set is received, and a corresponding service system is determined; converting each piece of business data into a code item according to a business code table corresponding to the business system to obtain a code item group; identifying key business entities in the code item group, and encoding to obtain a unique identification code of each key business entity; encoding the unique identification code to the corresponding code item to obtain an updated code item group; in response to the cross-platform instruction, taking at least one code item in the updated code item group as service shared data, and determining a target business platform; obtaining an interface protocol of the target business platform and a database type of a target database; and converting the service shared data into service data of the target service platform according to the database type and the interface protocol. According to the invention, the cross-system and cross-platform data processing efficiency can be effectively improved.

The invention relates to the technical field of anti-counterfeiting traceability, in particular to a font encryption-based production date anti-counterfeiting traceability system, which is characterized in that a traceability code is hidden and embedded into a font structure of a production date through a font coding module. The production date serving as mandatory information on the package is difficult to remove, and the anti-counterfeiting information can be embedded on the premise of not changing the reading content through a font variant code embedding mode, so that the damage resistance and security of the traceability code are enhanced. The system generates a font coding table based on the daily production date as a seed parameter, ensures that the same traceability code corresponds to different font sequences at different dates, and has unpredictability and non-reusability. And the image recognition decoding module adopts a date and font separation recognition structure, realizes high-precision extraction of font identifiers (ID), and restores traceability codes in combination with a current-day coding table. And finally, the batch, source and authenticity information of the product is queried and verified through the database, so that the security and tamper resistance of anti-counterfeiting tracing on the product bag are effectively improved.

An automated system attempts to characterize code as safe or unsafe. For intermediate code samples not placed with sufficient confidence in either category, human-readable analysis is automatically generated to assist a human reviewer in reaching a final disposition. For example, a random forest over human-interpretable features may be created and used to identify suspicious features in a manner that is understandable to, and actionable by, a human reviewer. Similarly, a k-nearest neighbor algorithm may be used to identify similar samples of known safe and unsafe code based on a model for, e.g., a file path, a URL, an executable, and so forth. Similar code may then be displayed (with other information) to a user for evaluation in a user interface. This comparative information can improve the speed and accuracy of human interventions by providing richer context for human review of potential threats.

The embodiment of the invention provides a phase calibration method, a phase calibration device and a storage medium, the phase calibration method is used for obtaining a phase step and a phase code table used for phase calibration of a phase shifter, and the phase calibration method comprises the following steps: presetting a first phase code table which comprises a plurality of phase codes, traversing a preset phase step combination by using the first phase code table to perform phase calibration, transmitting a preset waveform signal by using a calibrated phase code, judging whether the performance index of the preset waveform signal accords with a performance index threshold value or not, and taking the phase step combination of which the performance index accords with the performance index threshold value as an optimal phase step; and performing phase calibration on a plurality of groups of transmitting antennas by adopting the preferred phase step and one or more second phase code tables, and obtaining a third phase code table by taking part or all of phase codes obtained after the phase calibration of the plurality of groups of transmitting antennas. The optimal phase stepping is obtained by combining the waveform performance indexes, so that the transmitted waveform is closer to the expected waveform, and better calibration precision is obtained.

The invention discloses an intelligent data secure transmission method and system driven by a dynamic coding table. The system comprises a dynamic factor generator, an intelligent coding table distributor, a transmission path controller and a real-time verification gateway. The dynamic factor generator is used for generating space-time associated dynamic coding factors based on the hardware fingerprints and the network topology; the intelligent coding table distributor distributes a multi-layer dynamic coding table comprising a rolling updating mechanism and a mutation updating mechanism in real time according to the quality of a transmission path; the transmission path controller integrates a multi-mode coding selector and a dynamic address wrapper, selects a fast, deep or emergency coding mode according to a network state, and generates a dynamic path identification code to realize intelligent packaging of a data unit; and the real-time verification gateway performs dynamic verification and abnormal fusing operation of the coding table in a linkage manner through a programmable verification assembly line and a double-factor verification channel. The system can dynamically adjust the encryption strategy under the scenes of low delay, high security, abnormal transmission and the like, and guarantees the security and integrity of data transmission.

The invention discloses a code quality automatic evaluation method and device, a server, a computer readable storage medium and a computer program product. The method comprises the following steps: generating a token sequence of an evaluated target code, converting the token sequence into a word vector, performing semantic correlation extraction on adjacent tokens in the word vector, constructing code representation, converting original code tokens from text information into numerical vector information, and inputting a code representation vector into a feedforward neural network model for regression prediction, so as to obtain the target code. And the code quality is automatically scored. According to the method, code representation is applied to code segment score prediction, grammar and semantic information contained in a code token sequence is fully utilized, hidden representation contained in a code segment is mined and used for predicting the quality score of the code segment, objective and fine-grained accurate one-key scoring can be achieved, and low-cost, high-efficiency and automatic intelligent code evaluation is achieved.

An automated system attempts to characterize code as safe or unsafe. For intermediate code samples not placed with sufficient confidence in either category, human-readable analysis is automatically generated to assist a human reviewer in reaching a final disposition. For example, a random forest over human-interpretable features may be created and used to identify suspicious features in a manner that is understandable to, and actionable by, a human reviewer. Similarly, a k-nearest neighbor algorithm may be used to identify similar samples of known safe and unsafe code based on a model for, e.g., a file path, a URL, an executable, and so forth. Similar code may then be displayed (with other information) to a user for evaluation in a user interface. This comparative information can improve the speed and accuracy of human interventions by providing richer context for human review of potential threats.

The invention discloses a data transmission method and device, a storage medium and electronic equipment. The method comprises the following steps: in response to a submitted transaction message, acquiring a character set extracted from transaction data to be processed at a first node, and performing code serialization operation on the character set to obtain a target code table and sequence data, the coding serialization operation is used for constructing a balanced binary tree according to the character set so as to generate a serialization coding format corresponding to each character, the digit of the serialization coding format is the same as the layer number of the balanced binary tree, and the serialization coding formats corresponding to different types of characters in the character set respectively correspond to different nodes in the balanced binary tree; the serialized coding formats corresponding to the characters of the same type in the character set correspond to the same node in the balanced binary tree, and sending the target coding table and the sequence data to the second node. According to the method and the device, the technical problem of relatively low data transmission efficiency caused by too many repeated characters in related technologies is solved.

The present invention discloses a method for realizing collaborative editing in a low-code form, which belongs to the field of collaborative editing and includes the following steps: S1, a user logs in to a low-code platform through an identity authentication system; S2, a user creates a new form on the low-code platform or selects an existing form for editing; S3, when a user starts editing a form, the low-code platform records the user's editing operation and pushes the editing operation to all other users who are viewing or editing the same form in real time; S4, the low-code platform monitors concurrent editing operations, detects possible editing conflicts, and provides a conflict resolution mechanism; S5, the low-code platform maintains a version history record for each form; S6, when a user performs an editing operation, a notification is sent to the relevant user. The method for realizing collaborative editing by this method has many improvements in improving collaboration efficiency, refining authority management, optimizing user experience, promoting feedback loops, conflict resolution mechanisms, and effective notification mechanisms.

The invention relates to the technical field of video compression coding and decoding, and discloses a VVC dependent quantization hardware pipeline architecture design method, which comprises the following steps of: introducing a predefined code table in an initialization stage to initialize the predefined code table; an eight-level assembly line unit is adopted in the assembly line quantization stage, and four pieces of quantization state information are finally obtained by performing pre-quantization, distortion calculation, quantization candidate value calculation, context index calculation, code rate estimation and viterbi calculation on a transformation coefficient through the eight-level assembly line unit; a first grid memory and a second grid memory are introduced in an optimal quantization path output stage, ping-pong storage operation is carried out through the two grid memories, and quantization throughput can be maximized; the next TB block can be quantized without waiting for the completion of the output of the quantization result; according to the method, the problem that parallel quantization is difficult to realize between the conversion coefficients in the existing dependent quantization is solved.

The invention discloses a debugging method and device for a low-code platform, a storage medium and electronic equipment. The method comprises the steps that a low-code engine is started in a local environment, the low-code engine is used for calling a target code to provide a low-code platform service, and the target code represents a modified original low-code segment; under the condition that the target code is used for transforming the front-end service, request flow data is obtained through a flow forwarding component, breakpoint debugging operation is executed based on the request flow data to obtain a debugging result, and the request flow data is used for indicating an interaction request obtained from a front-end page; the traffic forwarding component is used for controlling the request traffic data to be forwarded from the test environment to the local environment; under the condition that the target code reforms the back-end service, a target interface is used for executing breakpoint debugging operation to obtain a debugging result, and the target interface is used for debugging the target code in the local environment. According to the method and the device, the technical problem that the debugging efficiency is relatively low when the modified original low-code segment in the low-code platform is debugged is solved.

The invention provides an automatic loading method and system for an aero-engine test run. The method comprises the following steps: establishing a coding table according to an engine running state and a loading demand; configuring the test run program and the code table to obtain a test run program configuration code; the test run program configuration code is transmitted to the PLC through a data acquisition channel; the PLC performs programming according to the received test run program configuration code, and compiles a corresponding control logic instruction; on the basis of a control logic instruction sent by the PLC, a test run automatic loading program of the engine is started, the loading state of the engine is controlled to be switched according to the loading requirement corresponding to the coding table, and the automatic loading process of engine test run is controlled. According to the automatic loading method, manual loading operation can be completely replaced without being influenced by a preset test run program, the loading amount and the loading time are automatically adjusted according to the actual running state of the engine, and loading can be stopped at any time in the loading process.

The invention discloses a task alignment Text-to-SQL (Structured Query Language) method and system based on a code style thinking chain. The method comprises the following steps: constructing a three-layer structured knowledge base comprising mode-level knowledge, instance-level knowledge and example-level knowledge; generating an initial query based on the target database and the user query; according to the list information in the initial query, constructing an instruction sequence represented by a similar SQL code, and forming a code style thinking chain; based on user query and initial query, acquiring multi-dimensional knowledge from the three-layer structured knowledge base and constructing an enhanced prompt context; and integrating the code style thinking chain and the enhanced prompt context based on the prompt template, and generating an executable final query through a multi-stage task alignment mechanism and a final prompt. According to the method, the problems of incoherence and inaccuracy of logical reasoning, insufficient knowledge generalization ability and multi-type model illusion existing in cross-domain, multi-table connection and complex query in the prior art are solved.

The embodiment of the invention provides an image coding method and device for a video call, equipment, a storage medium and a product. According to the technical scheme provided by the embodiment of the invention, the detection bandwidth for carrying out the real-time video call with the second terminal, the video playing frame rate of the second terminal and the video packet loss rate of the first terminal are determined; a target code table is obtained by increasing the minimum code rate and the maximum code rate of a preset gear in a preset code table, the coding resolution is determined according to the detection bandwidth and the target code table, video coding is carried out on a to-be-coded image of a video call based on the coding resolution to obtain coded video information, and under the scene that the network condition is general or the network fluctuation is large, the coding efficiency is improved. According to the invention, the minimum code rate and the maximum code rate of the preset gear in the preset code table are increased, so that the image coding can trigger the down-cutting of the image coding resolution more easily, the video super-division processing can be triggered more easily at the second terminal, the call quality is improved, and the user experience is improved.

The invention provides a starting point positioning method and system for coding mapping relation identification. The method belongs to the field of coding mapping, and comprises the following steps: acquiring Coquelet-80 audio data; the method comprises the following steps of: demodulating the Coquelet-80 audio data to obtain bit stream data; verifying the mapping relationship in the bit stream data through a preset algorithm, marking the data matched with the mapping relationship as the data conforming to the mapping relationship, adjusting the initial position of the data not matched with the mapping relationship, and re-verifying the mapping relationship through the preset algorithm until the mapping relationship is matched; and extracting part of data conforming to the mapping relation from the two groups of data conforming to the mapping relation, and decoding according to the code table. The system comprises an acquisition module, a demodulation module, a verification mapping module and a decoding module, and can quickly and reversely deduce an original number or confirm whether a mapping relation is established or not.

The invention belongs to the technical field of computer security, and particularly relates to a multi-level feature fusion binary code similarity detection method and system.The method comprises the steps that two binary files to be detected are obtained, the two binary files to be detected are disassembled respectively, and code representations of the two binary files are obtained; code representations of the two binary files are preprocessed and then input into the trained binary code similarity detection model, and a similarity score is obtained; the binary code similarity detection model comprises a CFG branch, a pseudo code branch, a structural feature extraction module and a feature fusion module; according to the method, characteristics of assembly instructions and pseudo codes are respectively extracted through CFG and pseudo code branches to capture bottom-layer and high-layer information, the similarity between the assembly instructions and the similarity between the pseudo codes are calculated according to the characteristics, and different levels of information are fused by fusing the similarity between the assembly instructions and the similarity between the pseudo codes. And the robustness and the detection precision of binary code similarity detection are improved.

Embodiments of this application provide an image data processing method, apparatus and device and a storage medium. The method includes inputting image data including text information into a text recognition model, and acquiring image representation information corresponding to the image data according to a feature extraction component in the text recognition model; obtaining semantic encoding information corresponding to the image representation information according to an image encoding component; acquiring discrete encoding information corresponding to the image representation information according to code tables included in a discrete encoding module; and correcting network parameters of the text recognition model according to an encoding similarity between the semantic encoding information and the discrete encoding information to obtain a target text recognition model.

The invention provides a pinyin decoding input method, an embedded system and a storage medium. The method comprises the following steps: constructing a hierarchical code table index database; obtaining a pinyin character string input by a user, and determining a first index of the pinyin character string in the initial index layer according to the initial of the pinyin character string; calculating a Hash value of the pinyin character string by using a Hash algorithm, and obtaining a second index corresponding to the Hash value in a Hash table; searching in the pinyin data block according to the second index to obtain a pointer corresponding to the pinyin character string; and matching in the word data layer by using the pointer to obtain corresponding word data. According to the method, the memory pressure of the embedded system is reduced, the three-layer index structure of the hierarchical code table index database is utilized, and the optimized hash search algorithm is adopted to accelerate data access, so that high-precision matching and quick positioning are realized in an embedded environment.

The invention relates to the technical field of point cloud, in particular to a coding and decoding method for point cloud compression. The invention provides a coding method for geometric compression of a point cloud, which comprises the following steps of: performing layer-by-layer down-sampling and layer-by-layer up-sampling on each spatial scale of a point cloud group, and training a network through over-fitting to obtain optimized network parameters; based on the network parameters, performing layer-by-layer up-sampling on each spatial scale of the point cloud group, predicting the occupancy probability of the child nodes and taking the occupancy probability as a code table, performing arithmetic coding on occupancy codes of the child nodes, and generating an occupancy code stream; and coding the network parameters to generate a network parameter code stream. According to the invention, the adjacent frames with similar features in the point cloud sequence share the lightweight network parameters for coding and decoding, so that the repeated transmission of the network parameters is reduced, and the average bandwidth consumption of the network parameters in the transmission process is reduced.

The invention discloses a large language model enhanced user privacy protection cross-domain service recommendation method, which comprises the following steps of: firstly, screening data in a data set, and designing a text prompt to apply a large language model enhanced service description text and user attribute information; a BERT language model is used for coding the service description text, and embedding is generated; embedding and mapping the text into discrete codes by using a PQ method, and maintaining a code dictionary; reading user historical service interaction data, and generating a user behavior sequence file according to a timestamp sequence; service description information in the user behavior sequence is converted into discrete code representation, the discrete code representation is input into a sequence encoder for local model training, and a model with the optimal performance is stored; the parameter gradient of the local model is clipped and quantified and then is uploaded to a server; and performing fine adjustment on the model by adopting soft prompt and hard prompt. According to the method, the semantic difference in cross-domain recommendation is reduced, the model is finely adjusted through soft prompt and hard prompt, and the recommendation individuation and accuracy are enhanced.

The invention discloses a dynamic form design method fusing high and low codes and a related product, which can be applied to the technical field of computers, and the method comprises the following steps: constructing a basic design form; calling a preset component and a user-defined component from a component library of the form designer supporting expansion based on a low-code mode, and adding the preset component and the user-defined component to corresponding positions of the form; the preset component is pre-developed by a developer in a high-code mode and stored in a component library; the user-defined component is designed and developed by the user by using a form designer supporting expansion and is transmitted to the component library through a high-code expansion interface in order to meet the customized business requirement of the user; configuring components; and fusing a form configured by a user into a high-code form by using a multiplex rendering engine constructed based on a high-code technology, and carrying out joint rendering to realize the design of a dynamic form fusing high and low codes. Therefore, the form is designed by adopting a method of fusing high and low codes, the design efficiency is improved, and the development cost is reduced.

1. Name of the Design Product: Cycling Computer (BSC300T). 2. Use of the Design Product: Used as a cycling computer for communication, timing, positioning, navigation, and heart rate measurement. 3. Design Key Points of the Design Product: Lies in the shape. 4. Picture or Photograph that Best Illustrates the Design Key Points: Perspective View 1.

The invention relates to a code retrieval method and device, computer equipment, a storage medium and a computer program product. The method comprises the following steps: obtaining candidate code snippets, and splitting the candidate code snippets into mark sequences; for any mark in the mark sequence, generating a semantic vector of the mark, and coding to obtain a representation vector of the mark based on the semantic vector of the mark and the position of the mark in the mark sequence; generating a code representation vector of the candidate code snippet according to the representation vector of each mark and a grammatical relationship between the marks; and when a target retrieval text is received, generating a target retrieval vector based on the target retrieval text, and determining a target code snippet from the candidate code snippets based on the similarity between the target retrieval vector and the code representation vector of each candidate code snippet. By adopting the method, the code retrieval accuracy can be improved.

1. The name of the design product: code table (BiNavi). 2. The use of the design product: the design product is used for recording riding track, mileage, speed measurement, etc. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective drawing.