18 results about "Error correction mode" patented technology

A memory controller (MC) and a microcontroller unit (MCU) chip are disclosed. The MC is obtained by adding a smart load control (SLC) module to an MC architecture with an ECC logic module. When a CPU is reading contents from first memory, the ECC logic module can accurately identify soft failure locations and correct 1, 2 or more bit errors, and when errors exceeding the error correction ability of the ECC logic module, the SLC module can select a suitable error correction mode for handling the soft failures in the first memory based on conditions of different ECC errors and soft failure locations as well as on the system's error correction need.

According to the memory controller and the microcontroller chip provided by the invention, on the basis of a memory controller architecture with an ECC (Error Correction Code) verification logic module, an intelligent copying control module is additionally added, and when a CPU (Central Processing Unit) reads corresponding contents in a first memory, the corresponding contents in the first memory are copied; according to the method, the soft failure position can be accurately identified through the ECC verification logic module, errors of 1 bit or 2 bit or several bits can be corrected, and when the error correction capability range of ECC verification is exceeded, the error correction requirements of the soft failure position and the system can be corrected by the intelligent copy control module according to the conditions of different ECC verification errors and the condition of the soft failure position. Different error correction modes are selected to process the soft failure in the first memory, and it is not necessary to generate reset to destroy coherent execution of a program when the error correction capability range of ECC verification is exceeded every time, so that quick correction of soft failure errors is realized under different soft failure conditions, the system operation coherence is improved, and the error correction efficiency is improved. And high reliability of system operation is considered, and various reliability demand scenes are covered.

The invention provides a text error analysis method and device based on a large model and a medium, and belongs to the technical field of natural language processing. The text error condition analysis method based on the large model comprises the following steps: constructing a training data set covering multiple fields and multiple error types, inputting the training data set into a large language model, and supervising and training the large language model; according to a multi-task collaborative error correction mode, a cue word optimization mode and a multi-error correction model fusion mode, an error correction strategy of the large language model output text data is designed; and screening the text data by using an error correction strategy in combination with the multi-error correction model to obtain a plurality of candidate correction results, and selecting an optimal correction result from the plurality of candidate correction results according to a voting mechanism. The problem that in the prior art, a document error correction mode is insufficient in error correction capability, including the problems of poor error correction accuracy and low error correction efficiency can be solved.

Implementations of the present disclosure disclose a memory controller and an operation method thereof, and a memory system. The operation method of the memory controller can include a starting step of entering a high-order error correction mode when the data read from a memory block belongs to correctable error correction code data and an error bit count of the memory block is greater than a specific value, a detection step of checking whether an inducement type of the error bit count is charge leakage, and a remedying step of complementarily applying programming pulse signals to the memory block if the inducement type is the charge leakage. The present application reduces the refresh probability of the memory block, reduces the write amplification factor, and thus extends the service life of the memory device.

The method for transmitting data packets from a first network device to a second network device is disclosed. When the error correction mode is enabled, the first network device may transmit a first plurality of data packets to the second network device through the end-to-end connections, and then receive a second plurality of data packets from the second network device through the end-to-end connections. The first network device may determine a first value for each of the at least one of the end-to-end connections according to the first information obtained, and transmit a third plurality of data packets to the second network device through the end-to-end connections.

This invention relates to the field of intelligent text correction technology, specifically an intelligent text correction method based on mouse interaction, comprising the following steps: S1, displaying the recognized text result in an app; S2, determining errors in the recognition result within the app's input box; S3, activating the text correction program via a mouse button; S4, displaying a correction pop-up window that follows the cursor's movement; S5, moving the cursor to the vicinity of an erroneous text using the mouse; S6, acquiring information such as the app's handle, input box content, cursor context, and cursor position; S7, determining the current erroneous term and generating candidate obfuscation terms; S8, selecting N optimal candidate obfuscation terms from the candidate obfuscation terms and displaying them in the correction pop-up window; S9, selecting the correct term by clicking on it in the correction pop-up window using the mouse; S10, replacing the erroneous text in the app with the selected correct term, and exiting the text correction mode via a mouse button; thus achieving efficient and accurate text recognition correction.

The present application relates to the technical field of behavior feature recognition, in particular to a health all-in-one machine continuous authentication method based on user behavior features, comprising the following steps: in the process of user operation of the health all-in-one machine, the error action type, error correction path, time cost and operation efficiency set are recognized and recorded.The present application improves the accuracy and robustness of identity authentication by deeply mining the cognitive level features of users in the interaction process, rather than just relying on the surface physical operation habits.Through recognizing and structurally analyzing the error action type and subsequent error correction path of the user, the authentication process captures the unique solution ideas of individuals when facing problems, classifies and probabilistically quantifies different information seeking strategies such as menu browsing and direct search of users when querying information, constructs a strategy entropy model reflecting the decision preference of the user, integrates the personalized error correction mode cluster and the strategy entropy, and forms a multi-dimensional, high-differentiation user benchmark behavior paradigm.

A method of transmitting data packets from a first network device to a second network device, the first network device may transmit a first plurality of data packets to the second network device over an end-to-end connection when an error correction mode is enabled, and then receive a second plurality of data packets from the second network device over the end-to-end connection, the first network device may determine a first value for each of the at least one end-to-end connection based on the obtained first information and transmit a third plurality of data packets to the second network device over the end-to-end connection.

The application provides a content error correction method and device, equipment and a storage medium. The method obtains to-be-corrected uniform content in a preset uniform library, wherein the to-be-corrected uniform content includes error content and correct content corresponding to the error content. The life cycle of the to-be-corrected uniform content is determined according to a preset life cycle determination rule. The life cycle is compared with the current time. If the life cycle is less than the current time, the error correction mode of the to-be-corrected uniform content is determined according to the heat of the correct content. The preset uniform library is updated according to the error correction mode. The heat of the content is fully considered, so that the search result is closer to the user's intention, and the accuracy of content error correction is improved.