20 results about "String processing" patented technology

The invention provides a large model assisted Fuzz test Harness generation method and system, and the method comprises the steps: migrating a library of a QNX platform to a Linux environment for operation, and carrying out the glue code packaging of interface difference and system call difference through the generality that the library of the QNX platform and the Linux environment share a POSIX standard, thereby achieving the automatic adaptation of key API and context constraint; then analyzing binary semantics by means of an intelligent Agent constructed by a large model, automatically generating a Harness skeleton, focusing potential dangerous points (such as memory management, character string processing functions and the like), generating an initial seed in combination with a static or dynamic analysis result, and finally executing a Fuzz test in a controllable execution environment. And high coverage and rapid vulnerability positioning of the multi-dimensional attack vector of the target library are realized. The technical problems that Harness writing highly depends on expert experience, a customized generation strategy for target binary semantics is lacked, and comprehensive understanding on the binary semantics and context constraints is lacked are solved.

To provide an optical information reading device capable of narrowing down to the character strings to be output from multiple character strings attached to a target object. The imaging unit 31 of the optical information reading device 10 captures an image of the target object 11 with multiple character strings attached as a symbol 20, and generates an input image containing the character strings. The character string processing unit of the optical information reading device 10 obtains multiple character string candidates from the input image. Then, the character string processing unit narrows down to the output character string from the multiple character string candidates based on at least one of the character string likelihood indicating the plausibility as a character string, the distance from the aiming position, and the degree of matching with a predetermined format pattern for each of the multiple character string candidates.

The invention discloses filling rope processing equipment which comprises a butt joint device. The butt joint device comprises a mounting frame and a butt joint device, the first limiting assembly is used for clamping the first small filling rope; the second limiting assembly is used for clamping the second small filling rope; the first heating mold is located between the first limiting assembly and the second limiting assembly; the second heating mold corresponds to the first heating mold, and when the second heating mold and the first heating mold get close to each other, the first sheet part and the second sheet part can be clamped and heated to a set temperature, so that the first sheet part and the second sheet part are combined together; the first telescopic element is used for driving the second heating mold to move, so that the second heating mold and the first heating mold are close to each other or away from each other. By means of the butt joint device, the small filling rope at the tail of the large filling rope and the small filling rope of the filling rope material roll newly installed in the winding drum installation position can be combined together through heating, and therefore the large filling rope with the longer size can be obtained through machining on the basis of original equipment.

The application discloses an AI generated text detection method, system, device and medium, and relates to the technical field of text processing. The application converts a Chinese text sentence to be detected into a tone category sequence composed of tone categories. In this process, the categories of Chinese tones are used as a quantitative index of phonological structure, and text analysis is converted from a high-dimensional and high-cost semantic space to a low-dimensional and high-efficiency phonological feature space. The application is not dependent on training data of a specific model and is adaptable to text detection of multiple models. Then, N-gram analysis is performed on the generated tone category sequence, and the occurrence frequency of each N-gram combination is calculated to form a feature vector. Finally, an AI generated text is judged through a pre-trained classification model. In this process, the calculation type in processing is mainly string processing and frequency statistics, and the inconsistency problem of the model in multiple model invocations is avoided, so that the AI generated text can be accurately detected.

The application discloses a unique hash serial number generation method and system, solves the problem of a large hash value range interval, and improves the space utilization rate and data query efficiency of an object with a string as an index during storage. The technical scheme is as follows: a string is processed to generate a hash serial number which is self-incremented from 0, the hash serial number is used as an index to replace the original storage data structure which needs a string as an index; a cblock_map data cache structure is used, the cblock_map uses a hash value of a hash item as an index when storing the hash item, and contains information such as a string and a hash serial number. In the running process of the method, the cblock_map memory structure is stable, all possible spaces are prepared in advance in the construction method, and there is no scenario of recreating an object and copying data after the space is full. The cblock_map provides efficient and stable read and write capabilities, supports O(1) efficiency of the index storage position of the hash value, and even in the case of hash conflict, the query time can be controlled in a constant range through the way of list traversal.

A speech recognition device according to one aspect of the present disclosure comprises: a first generation unit that uses, as input, a feature amount indicating a feature of a chunk unit of speech to generate a first intermediate representation indicating an intermediate representation of the speech by an encoder; a second generation unit that uses, as input, a series of a processing unit of characters or character strings to generate a second intermediate representation indicating an intermediate representation of the processing unit by a series model; and a calculation unit that uses, as input, the first intermediate representation and the second intermediate representation to calculate the generation probability of the next processing unit by a model including linear transformation. The encoder is a model in which a relative multi-head attention mechanism and Mamba, which is a selective state space model, are disposed in parallel between a first feedforward network and a second feedforward network.

A language processing computer is provided that can improve the accuracy of language analysis and the accuracy of semantic analysis, which are the prerequisites for learning by artificial intelligence. [Solution] The language processing computer 1 comprises a syntactic analysis unit 110 that performs syntactic analysis of an input document and divides the document into word-based elements; a mapping unit 120 that maps each of the divided words to a semantic structure; an evaluation unit 130 that evaluates the semantic match or similarity between the words divided into word-based elements; a memory unit 300 that associates each word, the evaluated score, and the document and stores them as a semantic unit dictionary; an extraction unit 210 that extracts character strings from a specified document in units of phrases, propositions, or logic based on the semantic unit dictionary; and a processing unit 220 that processes the analysis or translation of the specified document based on the extracted character strings.

The utility model discloses a transportation mechanism for valve string processing, which relates to the technical field of machine manufacturing and comprises a transportation table, the transportation table is of a three-section structure and is composed of a low-position transportation section, a climbing transportation section and a high-position transportation section, and the low-position transportation section and the high-position transportation section are horizontally arranged in an up-down staggered mode. The conveying table is of a multi-section structure, the conveying table is of a Z-shaped structure, the end portions of the opposite ends of the low-position conveying section and the high-position conveying section are rotationally sleeved with rotating shafts, and the two ends of the climbing conveying section are rotationally connected to the end portions of the low-position conveying section and the high-position conveying section through the rotating shafts, so that the conveying table forms a large-angle Z-shaped climbing conveyor. The height of the whole equipment can be freely adjusted according to working requirements, the transportation platform is suitable for transportation work of different heights, the lower half portion of the transportation platform can flexibly move through the arrangement of the supporting legs and the rolling wheels, and the height adjusting convenience and stability of the transportation platform are improved; and through the arrangement of the baffles, the valve string parts on the conveying belt can be prevented from falling off during transportation.

The invention discloses a method for extracting dimensional tolerance specific information (including number marking, nominal size and vertical deviation), and belongs to the technical field of effective information extraction of drawings. The technical problem that specific information of dimensional tolerance in a drawing is difficult to extract is solved. The method for solving the problem comprises the following steps of: receiving operation information of dimensional tolerance selected by a user, acquiring a corresponding original character string from the operation information, acquiring a nominal size of dimensional tolerance specific information, acquiring a number mark of the dimensional tolerance specific information, acquiring an up-down deviation of the dimensional tolerance specific information, creating an object, and displaying the object. And correspondingly filling in the obtained and processed related data. According to the method, on the basis of a character string processing method, the extraction of the specific information of the dimensional tolerance is realized by combining the inference of'the symbol of deviation and the arrangement order rule of absolute values' obtained by self-analysis and a whole set of information extraction solution.

This application discloses a method and system for optimizing the processing of map strings in BIOS configuration files, relating to the field of computer software technology. By dynamically generating map string data, performing compression processing, index building, and configuration file generation, it effectively solves the problems of configuration file size expansion, processing latency, and low retrieval efficiency caused by static storage mode. It can reduce configuration file size, improve processing efficiency, reduce maintenance costs, and optimize system startup speed.

Provided herein are systems and methods for detecting and sanitizing sensitive data using domain-enhanced attention neural networks. In some embodiments, a processor of a client retrieves training data comprising tuples. Each tuple comprises a first parameter and a second parameter. For each tuple the processor matches a substring in a first parameter of the respective tuple to a keyword of a plurality of keywords, identifies a security category corresponding to the at least one keyword, and expands the first parameter of the respective tuple to comprise a respective string associated with the application event and the security category. The processor trains a model to detect and sanitize the sensitive data from the application events using the tuples, including an expanded first parameter for each tuple. The processor sanitizes the sensitive data using the trained model.

The invention discloses a regular expression matching library transplantation and optimization method and system, a medium and equipment, and belongs to the technical field of character string processing and pattern recognition. The X86 platform characteristics are shielded; the SWSIMD identifier is used as a Weixin H8000 vector branch identifier; redefining an m128 data type; all SSE instruction interfaces in the Hyperscan are counted, and an instruction function is achieved in a scalar array mode; redefining the type of the m256 data; an SWSIMD identifier is started, and Weixin H8000 vector branch support is added; a Hyperscan vector instruction is replaced, and the Hyperscan vector instruction is obtained; and replacing the basic data type operation of small bytes with the basic data type operation of large bytes. According to the method, the problem that the SSE instruction set acceleration module realized by Hyperscan default lacks general processor branch adaptation capability, so that the SSE instruction set acceleration module cannot be originally operated on the Weixin H8000 platform is solved.

The utility model relates to automatic signing of cannon sign machine, including equipment base, the top of equipment base is provided with lower mould, the outer surface fixed mounting of equipment base has pressure fixed side plate, the top of equipment base is provided with first automatic signing device, the top of equipment base is provided with second automatic signing device, the outside of equipment base is provided with servo motor, the top fixed mounting of equipment base has the push signing station, the top of push signing station is provided with the cylinder. This automatic signing of cannon sign machine, through the structure optimization setting, realize the automatic signing of cannon sign, save the manual and efficient operation, the operation cost of using equipment reduces, this automatic signing mechanism is left and right two sets of simultaneous wear string, compact structure high efficiency, save space, effectively reduce the operation cost, thereby reach the automatic signing of cannon sign, wear string processing of food and save the cost, realize the purpose of automatic continuous production.

To acquire and output a conversion character string candidate for input character information from a server device.SOLUTION: The character conversion support system includes client devices CL1 to CLN each having a front end processor that performs character-string processing, and a server device 1 that acquires character strings from the front end processors, wherein the client devices CL1 to CLN are configured to transfer character information input to the front end processors to the server device 1, acquire character-string candidates that are sequentially converted by an inference engine that uses a large-scale language model, and determine the character-string candidates as character strings to be outputted by an outputting unit.SELECTED DRAWING: Figure 1

The utility model relates to the technical field of wax mould tree string processing equipment, and discloses a clamping and positioning platform for precision casting wax mould automatic tree assembling and welding, which comprises a base, a welding frame is rotatably arranged on the base, a first driving component for driving the welding frame to rotate is arranged on the base, and a second driving component for driving the welding frame to rotate is arranged on the base. A first positioning plate is horizontally installed on the welding frame, a second driving assembly is arranged on the welding frame, and a lifting assembly is arranged on the base. The clamping plate I and the clamping plate II are arranged, and the clamping plate I and the clamping plate II are used for clamping the die head in an automatic mode, so that the situation that the die head moves spontaneously is reduced.

The utility model relates to the technical field of cotton rope processing, and discloses an anti-winding device for processing and conveying ridge cotton ropes, which comprises a main frame, a pay-off assembly is mounted on the side wall of the main frame and used for paying off, a sequencing assembly is mounted on the side wall of the main frame and used for sequencing the cotton ropes, and the sequencing assembly comprises a connecting frame. The connecting frame is fixedly installed at the top of the main frame, the side wall of the connecting frame is rotationally connected with a rotating column, and multiple sets of bidirectional threads are formed in the side wall of the rotating column; according to the anti-winding device for processing and conveying the ridge rope, multiple sets of wires are placed between the wire arranging rollers, the rotating column is rotated, the sliding plate drives the wire arranging rollers to move towards the wires through threaded connection between the rotating column and the sliding plate, the wires are clamped through the wire arranging rollers, and the anti-winding device is suitable for the wires with different diameters; when the wire rods are conveyed, the wire arranging rollers can rotate, wire outlet is facilitated, and due to the limiting effect of the wire arranging rollers, the wire rods cannot be twisted together in the conveying process.

The utility model provides an automatic packaging machine for a suspension insulator, belongs to the technical field of insulator production, and solves the technical problems of low packaging automation degree, low packaging efficiency and the like of the conventional insulator. Comprising a bearing and fixing mechanism, a sub-string conveying mechanism, a chain plate conveying mechanism, a clamping and carrying mechanism, a second conveyor, a second conveyor and a first conveyor, the sub-string conveying mechanism, the second conveyor and the first conveyor are all located on the rear side of the bearing and fixing mechanism, the first conveyor is located on the right side of the sub-string conveying mechanism, and the first conveyor and the sub-string conveying mechanism are provided with bearing plates; the second conveyor is located on the right side of the first conveyor, the conveying direction of the first conveyor is perpendicular to the conveying direction of the second conveyor, a clamping mechanism is arranged on the moving mechanism, and a pin carrying mechanism is arranged at the upper end of the bearing and fixing mechanism. The insulator string hanging device can automatically convey, clamp, carry, plug pins and open pins to process insulators, can perform string hanging processing on the insulators and package and output the insulators, and is high in automation degree, convenient and efficient.

The invention discloses an AI generated text detection method, system and device and a medium, and relates to the technical field of text processing. Chinese text sentences to be detected are converted into a tone category sequence composed of tone categories, the categories of Chinese tones are used as quantitative indexes of a phonetic structure in the process, and the accuracy of the phonetic structure is improved. Text analysis is converted from a high-dimensional and high-cost semantic space to a low-dimensional and high-efficiency phoneme feature space, and the method does not depend on training data of a specific model and can adapt to multi-model text detection; n-gram analysis is carried out on the generated tone category sequence, the occurrence frequency of each N-gram combination is calculated to form a feature vector, finally, AI text generation judgment is carried out through a pre-trained classification model, the calculation types during processing in the process are mainly character string processing and frequency statistics, the problem of inconsistency of models when the models are called for multiple times is avoided, and the accuracy of the AI text generation judgment is improved. The method and the device are used for accurately detecting the AI generated text.

The utility model relates to tofu processing technical field discloses a kind of stringing devices for tofu string processing, including stringing platform, stringing platform is provided with tofu placing plate, the tofu placing plate is provided with multiple baffle, each the baffle can be adjusted on the tofu placing plate sliding, between adjacent two baffles, and the space for tofu placement is formed between the baffle and the side wall of the tofu placing plate;The utility model can flexibly adjust the tofu placement space on the tofu placing plate, expand the scope of application, enhance the flexibility of use, while reducing production cost.

A user parameter configuration method for polymerase chain reaction technology, comprising the following steps: configuring system parameters, Mix parameters and PCR program parameters; configuring PCR scheme parameters; program parsing system parameters, Mix parameters and scheme parameters; and bringing the parsed parameters into the PCR program of a PCR instrument for experiment; wherein json string processing is performed when storing data, and the json string is stored in a field in a table in a database; wherein json deserialization objects or arrays are executed when displaying data, and the page traverses the objects or arrays to display data; the method further comprises the steps of: obtaining data of a detailed table filled in by a user in a foreground interface, and performing data verification; after the data verification passes, the data is converted into a json string, and the data of the json serialized string is transmitted to a background; the background processes the json string into objects or object arrays for logical processing; and the processed objects or object arrays are converted into a json string and stored in a database.