264 results about "Code table" patented technology

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.

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 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 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.

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 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 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 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.

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.

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.

A video encoding apparatus is a video encoding apparatus for subjecting a video image to motion compensated prediction coding, comprising an acquisition module to acquire available blocks of blocks having motion vectors from encoded blocks adjacent to a to-be-encoded block and number of the available blocks, an acquisition / selection module to select one selection block from the encoded available blocks, a selection information encoder to encode selection information specifying the selection block using a code table corresponding to the number of available blocks, and an image encoder to subject the to-be-encoded block to motion compensated prediction coding using a motion vector of the selection block.

The invention discloses a resource recommendation method and device, electronic equipment and a storage medium, and relates to the field of computers, in particular to the field of artificial intelligence such as deep learning. According to the specific implementation scheme, a resource identification sequence corresponding to a target object is obtained; wherein the resource identification sequence is an identification sequence of resources of which the interestingness of the target object is greater than a preset threshold value; according to the resource identification sequence, adopting a generative sequence model to generate a target quantization code; wherein the generative sequence model is obtained based on target code table training, the target code table is obtained based on the first user portrait of the sample object and the first attribute information of the sample resource, and each quantization code in the target code table corresponds to at least one resource; and according to the at least one resource corresponding to the target quantization code, performing resource recommendation on the target object.

Techniques for transforming code modules to different programming languages are disclosed. A system accesses a first non-code representation of a first code module expressed in a first programming language and parses the first non-code representation to identify a nested data element of the first non-code representation that represents a nested expression of the first code module. The system executes a transformation technique to transform the nested data element, in the first non-code representation, to a first non-nested data element in the first non-code representation. The system modifies the first non-code representation based on one or more attributes of a second programming language to generate a second non-code representation suitable for representing code modules in the second programming language. The system generates a second code module based at least on the second non-code representation.

The invention relates to a mechanical arm data processing method and device and a storage medium, and the method comprises the steps: obtaining the current pose information and configuration information of a mechanical arm, and determining the dynamic reachable space of the mechanical arm based on the current pose information and configuration information; the dynamic reachable space of the mechanical arm is mapped to a user interface to be displayed in a visual graph, and the visual graph comprises a progress bar and a speed code table and is used for displaying the reachable progress of the dynamic reachable space; if the reachable progress is within the standard-reaching area, the mechanical arm is driven to continue to execute data collection operation in the standard-reaching area; and if the reachable progress is not in the up-to-standard area, cleaning the collected data which is not in the up-to-standard area. Therefore, the action of the data collector is standardized, the collected data can be subsequently executed by the mechanical arm, and invalid data is prevented from being generated; and the data quality can be quantified, effective data can be screened, and it is ensured that the screened data meet the execution requirements of the mechanical arm.

In the method for identifying sea freight rate text based on a large language model provided in the application, a sea freight rate text is obtained, and a large language model is used to extract initial key information and remark information from the sea freight rate text. After the initial key information is corrected, the large language model is used to convert non-standard port names in the corrected key information into standard port names by using a port five-character code table to obtain converted key information. According to an obtained route corresponding table, the port corresponding to each voyage name in the converted key information is adjusted to obtain effective key information. The effective key information is supplemented with the remark information to obtain target key information. According to the target key information, a large language model is used to generate a plurality of entity corresponding relationships. After the large language model verifies the container type prices of ports with the same name in each entity relationship, a sea freight rate table is generated according to each entity relationship. This method improves the efficiency of extracting freight rate information from unstructured sea freight rate text.

The invention relates to the technical field of data compression, in particular to a real-time lossless compression method for linear scanning panoramic infrared image data. The method comprises the following steps: receiving current column original pixel data output by a linear column scanning infrared sensor; taking the original pixel data of the current column and the coded pixel data of the adjacent column in one frame as reference columns, and performing backward inter-column difference prediction to obtain predicted residual data of the current column; mapping the predicted residual data into a symbol value; carrying out entropy coding on the symbol value by using a static Huffman coding table which is pre-generated and solidified based on the statistical characteristics of the linear scanning infrared image, and outputting a compressed code stream; according to the scheme, the technical problem that high real-time performance and high compression ratio are difficult to consider when real-time lossless compression is carried out on linear scanning panoramic infrared image data in the prior art is solved.

The invention provides a tax authority matching method and device, a storage medium and electronic equipment, and is applied to the technical field of computers. Matching the address information with each three-level administrative division record in a three-level matching rule table by using a query statement so as to determine a target record in each three-level administrative division record; associating a tax authority code record corresponding to the target record in a tax authority code table, and then generating tax authority information containing a name and a code of a tax authority matched with the user by using the associated tax authority code record; in the whole process, the user only needs to input the address information, the tax authority can be matched for the user without inputting complex information, a simple tax authority matching mode is provided, the complexity of information input by the user is reduced, the probability that the user inputs wrong information is reduced, and the accuracy of tax authority matching is improved.

1. The name of the design product: code table mobile phone buckle (circular cover type). 2. The use of the design product: a kind of accessory for fixing mobile phone on support. When in use, it is pasted on the back of mobile phone or mobile phone shell, and the fixing function is realized by connecting with the buckle structure on the support. 3. The design points of the design product: in the front view. 4. The picture or photo that can best show the design points: front view.

The utility model discloses a stopwatch support. The stopwatch support comprises a support body and a stopwatch mounting part, the stopwatch mounting part comprises a stopwatch mounting part body and a flow guide part, a sound channel passage is formed in the stopwatch mounting part body in a penetrating manner, a first outlet is formed in the stopwatch mounting part body, and the sound channel passage extends to the first outlet; the flow guide part is arranged at the first outlet, a flow guide passage is formed in the flow guide part, a second outlet is formed in the flow guide part, and the flow guide passage extends to the second outlet; sound flows through the sound channel passage, the first outlet and the flow guide passage to the second outlet and then flows out of the stopwatch mounting part. The utility model aims to provide a stopwatch support which can reduce the influence of wind noise on sound, keep the decibel value of the sound and improve the use experience of a user.