43results about How to "Fast error correction" patented technology

The invention provides an input-method error correction method and an input-method error correction device. The method includes that equipment displays a character inputted by a user in an error correction window in real time; the equipment detects that the user clicks the character, positioned in an area, in the error correction window for the first time to know that the user wants to correct the character, searches a preset number of keys, nearest to the character, on a keyboard, and generates a corrected-character option list in which characters of the keys are sorted from the near to the distant according to distances between the characters and the character to be corrected by the user; the equipment selects the first character in the corrected-character option list and substitutes the selected character for the character, to be corrected by the user, in the error correction window. By the input-method error correction method and the input-method error correction device, input-method error correction efficiency is improved.

The invention relates to a method used for correcting error according to input of a user. The method used for correcting the error according to the input of the user includes: detecting current error correction settings, wherein the detection at least includes whether to correct error and an error correction range; detecting the input of the user; carrying error correction according to the input of the user and obtaining a related character set, wherein the character set at least comprises error correction characters for correcting error which possibly happens to the input of the user; and seeking the character set comprising the error correction characters in a dictionary and obtaining candidate words. The invention further relates to a method used for inputting text into an electronic device. With the methods used for inputting the text into the electronic device and correcting the error, the user can self-define different keyboard layouts and switch among the different layouts freely. Meanwhile, automatic error correction can be achieved, intelligent word selection can be achieved with reference to the context, and the methods can greatly reduce design cost of a portable device manufacturer.

The invention provides a pinyin error correction method and system. The pinyin error correction method comprises the following steps: building a word bank, organizing all pinyin strings and reverse strings which can be retrieved by a user respectively, and storing the pinyin strings and the reverse strings in positive and negative ternary search trees; analyzing and detecting a retrieval string input by the user, judging whether the retrieval string can be split into a plurality of syllable strings or not, and acquiring the error type of the retrieval string, wherein the error type is classified into a legal error and an illegal error; performing legal error correction on a legal error retrieval string, performing illegal error correction on an illegal error retrieval string, and acquiring an error correction result by adopting inquiry operation of the positive and negative ternary search trees; computing the similarity of all pinyin strings and the retrieval string input by the user in the error correction result, acquiring K pinyin strings with highest similarity, and outputting the K pinyin strings. The pinyin error correction method provided by the invention has the advantages of simple and efficient design, high error correction speed and high accuracy.

The invention relates to a text recognition method based on optical character recognition and error correction tight coupling processing. According to the method, a text image is recognized through aneural network model, an optimal candidate text sentence is selected through text bundle search transcription and lexicon selection processing by utilizing internal information generated during text image recognition, error correction is performed through the neural network model, and a more accurate text recognition result is output. Optical character recognition and text error correction are tightly coupled, and compared with an existing loose coupling text recognition method, the text error correction performance can be effectively improved, and the text recognition accuracy is improved.

The invention discloses a voice error correction method used for requesting a song through voice, a terminal and a storage medium. The method comprises the steps that a voice recognition result is matched with information in a preset music dictionary, wherein the preset music dictionary stores the attribute information of music resources and the corresponding relation of the attribute information; the attribute information matched with the song information in the voice recognition result is obtained in the preset music dictionary; according to the matched attribute information, whether there are errors in the song information or not is judged; if there are errors, the song information is corrected according to the matched attribute information. Error correction is conducted on the voice recognition result through the preset music dictionary, the music resource retrieval errors caused by the mistaken voice recognition are avoided, and the success rate of music services is improved.

The embodiment of the invention provides a method for determining error-correcting text and related equipment, which is used for improving the error-correcting speed of searching text. The method comprises the following steps of: obtaining a target search text input by a user; Segmentation of the target search text to obtain a segmentation set; Determining an initial error correction word corresponding to each participle in the participle set from a corpus; Calculating an error correction probability of an initial error correction word corresponding to each word in the word segmentation set; Determining an initial error correction word having an error correction probability greater than a first preset threshold value as a target error correction word for each word in the word segmentationset; A target error correction text of that target search text is determine from a target error correction word of each word in the word segmentation set according to a preset rule.

The invention discloses a Jielin code error correction optimization method and device. The method comprises the steps: S100, obtaining to-be-coded binary data, carrying out the bit-by-bit calculationof the to-be-coded binary data through a first constraint condition based on a weighted probability model to obtain the coded data; then obtaining the bit length of the binary data to be coded and thefirst total number of symbols 0, and sending the coded data, the bit length and the first total number to a channel for data transmission; and S200, receiving the coded data, the bit length and the first total number from the channel, decoding the coded data based on the weighted probability model, checking a decoding result through the first constraint condition, and performing forward error correction processing on the decoding result. According to the invention, the data transmitted in the channel is linearly encoded and decoded through the weighted probability model, so that the requirement on hardware resources is low, the error correction speed is improved, and the error correction efficiency is further improved.

The invention discloses a verifiable database encryption retrieval method based on secret sharing. The method comprises the steps that a database is established; to-be-encrypted data is stored into the database, and encryption is performed through secret sharing; a data accessor permission chart is made, data accessor permissions are determined, and the data accessor permission chart is stored into the database through Chinese remainder theorem processing; modulus solving is performed on the encrypted data, and check codes corresponding to attributes in each column are generated and uploaded to servers; and data accessors access the servers, wherein the data accessors with permissions can solve the data, and the data accessors without permissions cannot solve the data. According to the method, secret sharing and the Chinese remainder theorem are combined, the remainder of modulus solving performed by each piece of data on a corresponding allocation value is used as one check code, andon the basis of not reconstructing f(x), information on the servers is verified separately; and when part of the information has an error, which server has an error can be pointed out in combination with other servers, and error information can be corrected quickly and easily.

The invention relates to an intelligent clamp fast-replacement device. The intelligent clamp fast-replacement device comprises a clamp top plate and a clamp bottom plate; a welding air cylinder and a welding head located on the welding air cylinder are arranged on the clamp top plate and between the clamp top plate and the clamp bottom plate; a workpiece clamping structure is arranged on the clamp bottom plate and between the clamp top plate and the clamp bottom plate; a fast clamp forceps structure is disposed on the clamp top plate; a fast inserting structure is disposed on the clamp bottom plate. By means of the structure, the clamp structure can be fast dismantled and mounted for clamping; fast error correction can be achieved through a workpiece detector and a nut detector; operation is convenient; defective products are reduced; time is saved; the working efficiency of a welding machine is improved; the ex-factory cost of products is reduced.

The invention relates to an SSD based on an HBM cache, and the SSD comprises an SSD based on the HBM and DRAM hybrid cache and an SSD based on the HBM cache; the SSD based on the HBM and DRAM hybrid cache mixedly uses the HBM and the DRAM as the cache, the DRAM stores an FTL (File Transfer Layer) mapping table, and the HBM provides a cache function. According to the SSD based on the HBM cache, the HBM is used for replacing a DRAM, and the HBM has the functions of caching data and storing an FTL mapping table. According to the method, the constant read-write bandwidth is ensured in the process of processing write amplification and garbage collection, the read-write time delay is reduced, and the high-concurrency multi-channel video data access efficiency is ensured to a greater extent.

The invention belongs to the technical field of composite material manufacturing, and relates to a cost calculation and control system in a high molecular material preparation process, in particular to a cost calculation and monitoring system based on prepregs in a technological manufacturing process. According to a given prepreg cost calculation mode, a mode of including manufacturing direct expense allocation of direct labor, equipment depreciation, manufacturing power consumption and the like in product manufacturing cost in conventional product cost calculation is abandoned; and based on an actual manufacturing process and a manufacturing status, a manufacturing execution system (MES) is adopted for collecting fiber material consumption, resin material consumption, auxiliary material consumption, manufacturing team or group states, manufacturing cycle and speed, manufacturing equipment information, manufacturing energy consumption, product types and parameters, yield and rejectionrate data information, and expenses directly related to manufacturing in manufacturing expenses are stripped out to the maximum extent, so that accurate calculation of the product manufacturing cost is realized and the manufacturing cost fluctuation states of products in different manufacturing conditions can be accurately reflected.

The invention discloses a redundancy error correction structure of an OTP. The redundancy error correction structure comprises a redundancy storage array, an address decoding module and a logic control module. The redundant storage array is divided into a space A for storing addresses of damaged storage units and a space B for replacing the damaged storage units; the address decoding module is used for decoding an input address A (8: 0); and the logic control module is used for comparing the input address with the address of the damaged storage unit stored in the space A, and generating a control signal to control the memory reading operation under the condition that the damaged storage unit occurs in the main storage array. According to the redundancy error correction structure, due to the fact that the error rate of the storage array is low and the redundancy storage space is increased in a targeted mode, waste of the chip area is greatly reduced; damaged storage units are directly replaced, logic judgment is not needed, and errors of all storage data types can be corrected; redundancy error correction is achieved through a register, the error correction speed is high, and efficiency is high.

The invention discloses a hardware acceleration device of a bar code recognition algorithm for DNA sequencing, which comprises a control logic unit, a demapping unit, a cyclic shift unit, an inner decoder and an outer decoder, the control logic unit is respectively connected with the demapping unit, the cyclic shift unit, the inner decoder and the outer decoder, the demapping unit is connected with the cyclic shift unit, and the inner decoder is connected with the outer decoder; and the device has the advantages that the time complexity is reduced, the time for distinguishing the sequencing reads from different samples is shortened, and various errors of the sequencing bar codes are quickly corrected.

The embodiment of the invention provides a text error correction method, device and equipment and a computer readable storage medium. The text error correction method comprises the following steps: displaying a speech recognition text; receiving a focus point of the eyes of the user in the speech recognition text, and determining residence information of the focus point, the residence information including residence time; when the residence duration meets a preset condition, determining a to-be-modified text corresponding to the focus point, and displaying candidate texts of the to-be-modified text; when the focus point moves, determining a candidate text corresponding to the focus point moving moment; and modifying the to-be-modified text into a candidate text corresponding to the focus point moving moment. According to the embodiment of the invention, the error recognition of the text can be conveniently and quickly corrected without user input, and the text error can be quickly and accurately corrected.

The invention relates to a voice input error correction method and system. The method includes converting an input voice into an identification text and an identification network; generating a lexical network according to the identification network; acquiring contents waiting to be corrected in the identification text; acquiring a modification-alternative replacement or rerecording instruction; if it is a modification-alternative replacement instruction, then generating a modification alternative corresponding to the contents waiting to be corrected according to the lexical network and selecting correct contents from the modification alternative to replace the contents waiting to be corrected; and if it is a rerecording instruction, then reacquiring a voice corresponding to the contents waiting to be corrected and correcting the contents waiting to be corrected. In the voice input error correction method and system, the modification alternative can be provided to modify error parts of the identification text and the error parts of the identification text can also be modified through rerecording part of the voice.

The invention discloses an AR intelligent ordering and delivering system, and the system comprises a server, an AR ordering machine, a delivering robot, a chef communication module, a meal outlet and a conveying device; the conveying device is connected with a chef station and the meal outlet, and the AR ordering machine, the delivering robot and the chef communication module are all in communication connection with the server. In addition, the system further comprises a label tray and a three-dimensional camera shooting device, the three-dimensional camera shooting device is arranged at the meal outlet and comprises a camera shooting control module, a three-dimensional camera shooting module, a camera shooting taking and placing device and a camera shooting communication module, wherein the three-dimensional camera shooting module, the camera shooting taking and placing device and the camera shooting communication module are in communication connection with the camera shooting control module. And an information storage module and a near field communication module are arranged in the label tray. According to the method and the system, whether own requirements are met or not can be confirmed by collecting the AR video of the played actual dish, and the confirmation process is carried out before the dish is sent out, so the system can carry out rapid error correction on the condition that detail requirements are not met.