196 results about "Code table" patented technology

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.

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 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 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 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.

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.

The application provides an electronic scale calibration method, which comprises the following steps: acquiring the working environment temperature of the electronic scale, searching for the standard zero point internal code value and the standard range internal code value corresponding to the working environment temperature in a pre-stored temperature internal code table, and calculating the internal code weight relationship value according to the standard zero point internal code value and the standard range internal code value; acquiring the actual internal code value of the electronic scale; and calibrating the actual measured weight of the electronic scale based on the actual internal code value, the standard zero point internal code value and the internal code weight relationship value, so as to automatically adjust the measured weight of the electronic scale according to different temperatures and calibrate the electronic scale.

1. The name of the design product: up and down adjust the code table frame. 2. The use of the design product: for bicycle code table frame. 3. The design points of the design product: in shape. 4. The picture or photo that best shows the design points: perspective view 1.

The application provides a remote control decoding device based on a Hamming code, comprising: a shift register, configured to convert acquired serial data based on a clock signal; two code table storage units, respectively configured to store preset Hamming code tables; a count comparison module, configured to intercept corresponding comparison bits based on the clock signal; and a comparator, configured to compare the comparison bits intercepted by the count comparison module with comparison bits corresponding to the serial data, and perform decoding based on preset decoding control logic in the case that a comparison result meets a preset condition, and send a decoding result to a preset instruction processing unit. The remote control decoding device based on the Hamming code does not need to occupy more hardware resources in the case that a code distance requirement is met, and has good universality and expansibility.

The invention relates to the technical field of data processing, and discloses a scenic spot electronic ticket processing method based on a block chain, and the method comprises the steps: collecting and preprocessing scenic spot electronic ticket data, obtaining to-be-compressed data, and formulating a Huffman tree reconstruction strategy, i.e., carrying out the initial compression of the to-be-compressed data, after initial compression, counting the occurrence frequency of each character and the occurrence frequency of each subsequent character of each character, calculating the optimization degree of each subsequent character based on the occurrence frequency, and when a set recoded character is encountered in the compression process, adjusting the coding of the Huffman tree according to the optimization degree of each subsequent character; and compressing the to-be-compressed data based on a Huffman tree reconstruction strategy, and outputting a final compression result to complete compression storage of the scenic spot electronic ticket data. According to the invention, a local coding table adjustment mode is adopted, accurate adjustment is carried out at a key position, coding optimization is rapidly realized, and the compression processing speed is improved.

This invention discloses an encoding and decoding method for data compression transmission, comprising: at the transmitting end, inputting data u of length B*q into a sparsifier and grouping it to obtain the total number of string types m; constructing a sparsification code table of size m based on the frequency of occurrence of string types; performing sparsification mapping on data u according to the code table to obtain a sequence v of length m; interleaving it and dividing it into L groups according to each group of k bits to obtain a sequence of length Lk. v The sequence v is divided into single or multiple paths for encoding to obtain a codeword sequence c of length N. At the receiving end, the received sequence y of length N is decoded to obtain a sequence of length Lk. After deinterleaving the sequence and removing the zero-padding bits, a sequence of length Lk is obtained. After inputting the sequence into the desparser, the present invention can avoid error propagation compared with existing variable-length coding compression transmission schemes, and achieve efficient data transmission while allowing a certain degree of bit error.

The application relates to the technical field of remote controller testing, in particular to a wireless remote controller key testing method and device, equipment and a medium. The application responds to a test request of a to-be-tested remote controller, obtains an identification number of the to-be-tested remote controller, then calls a key code table matched with the identification number from a preset remote controller database, extracts a corresponding target key code value from a to-be-tested signal sent when a to-be-tested key is triggered, and displays a test record of a target key name corresponding to the target key code value on a test interface of a test equipment associated with the to-be-tested remote controller, so that various types of remote controllers can be visually tested on the test interface, compared with existing specific product control verification, the test process is simplified, and the test efficiency is improved.

The invention provides a coding method, a Huffman decoding method, equipment and a medium, and relates to the technical field of data compression, and the coding method comprises the steps: obtaining a target code table; the target code table comprises a plurality of target code words; wherein a plurality of target code words in the target code table correspond to a plurality of original Huffman code words in an original code table, and the code word length information of the original Huffman code words is implied in the plurality of target code words; and encoding the target code table to obtain an encoding result.

The present invention relates to a method for generating coding tables for sensor signals of a vehicle, comprising: detecting the occurrence frequencies of the sensor signals; dividing the sensor signals into different levels according to the occurrence frequencies, wherein the numbers of the levels correlate with the number of coding bits, whereby with increasing occurrence frequency the numbers of the levels become smaller and the corresponding number of coding bits decreases;Assigning binary codes to the sensor signals, wherein the binary codes have a single middle bit position, as well as front bit positions and back bit positions, wherein a first bit value is written into the middle bit position, the number of front bit positions representing the level, and a second bit value is written, wherein the number of back bit positions depends on the number of front bit positions, and the value of the sensor signal is represented by means of the bit value of the back bit positions; generating a coding table to establish a correspondence between the sensor signals and the binary codes. The present invention further relates to a corresponding coding method, a corresponding decoding method, a corresponding computer program product, and a corresponding processing device. This makes it possible to reduce the internal memory required for recording the sensor signals.

The invention provides a method, system and device for automatically updating an interface control based on data source differences and a medium, and belongs to the technical field of low-code form development. The method comprises the steps that an attribute mapping relation between an entity model and a control model is established, and mapping relation metadata is generated; extracting an attribute change set of the entity model, identifying a changed field by comparing attribute differences between a reference version and a current version of the entity model, and generating a structured change set object; based on the mapping relation metadata and the change set object, analyzing the influence degree of the entity attribute change on the interface control, calculating the influence score of the influenced interface control through an influence factor of a preset dimension, determining a control updating strategy according to the influence score, and executing a control synchronous updating operation. According to the invention, entity change is synchronized automatically, and manual adjustment is reduced; the influence range is accurately identified, the strategy is intelligently decided and updated, the development efficiency and the system stability are improved, and the user experience is optimized.

System and method for physical encryption of message. A plurality of satellites are in orbit around earth. A phase array antenna communicates with the satellites. A memory storage stores a code table, each code indicating segmentation instructions for a message to be transmitted. To transmit a message, the system fetches a code from the code table and segments the message to a plurality of segments according to the segmentation instructions. The antenna is aimed serially at different satellites to communicate with the selected satellites and transmit the segments.

The present invention relates to a method and system for encrypted domain image steganography based on Huffman coding. The method comprises: obtaining the pixel value of each pixel block in the original image and encoding it based on Huffman coding to obtain an initial code table; encrypting the secret information based on an encryption algorithm to obtain encrypted data; embedding the encrypted data based on a least significant bit algorithm to obtain an embedded pixel value for each pixel block; and updating the initial code table based on the embedded pixel value to obtain an embedded code table. The present invention reduces the total number of bits of transmitted data and increases capacity, thereby increasing the amount of information embedded without affecting image distortion and providing high security.

According to one embodiment, an image encoding method includes selecting a motion reference block from an encoded pixel block to which an inter prediction is applied. The method includes selecting one or more available blocks from the motion reference block. The method includes selecting a selection block from the available blocks. The method includes generating a predicted image of the encoding target block using motion information of the selection block. The method includes encoding a prediction error between the predicted image and an original image. The method includes encoding selection information specifying the selection block by referring to a code table decided according to a number of the available blocks.