249results about How to "Improve reading efficiency" patented technology

The invention discloses a solid state disk data reading method and system, a storage medium and a program product, and the method comprises the steps: calculating a temperature change rate and a temperature accumulation effect coefficient of a to-be-read data block according to a current temperature value and a historical temperature record; dividing the physical page address into a plurality of subintervals, and determining a loss level; calculating an initial reading voltage threshold value; compensating the initial reading voltage threshold value to obtain a target reading voltage threshold value; performing parallel reading on the to-be-read data block by adopting the target reading voltage threshold value to obtain original reading data; performing crosstalk correction on the original read data to obtain corrected data; when the reliability verification result of the corrected data of any subinterval is lower than a preset threshold value, error correction processing is carried out; and updating the loss level of the sub-interval according to the verification result of the reliability verification, and re-dividing the sub-interval of the data block to be read. The data reading delay is reduced, and the performance of the solid state disk in a scene of frequently reading small files is improved.

The embodiment of the invention provides a data read-write processing method and device, equipment and a medium, and relates to the technical field of computers.The method comprises the steps that a data processing request is received and analyzed, and a request type and address information in the data processing request are extracted; the request type comprises a data reading request and a data writing request; when the request type is a data reading request and the address information meets a preset number of data reading rules, a data prefetching operation is triggered, target data is read from the cache, and the target data is prefetched from a memory and loaded into the cache; and / or, when the request type is a data write-in request and the address information meets a preset number of data write-in rules, triggering a data merging operation, and writing the cache line into the cache or the memory. According to the scheme, the time for reading the data from the memory or replacing the data when the request arrives can be shortened, and the read-write processing efficiency of the data is improved.

The invention discloses a fast reading training control method based on eye movement tracking. The fast reading training control method comprises the steps of extracting coordinates of fixation points and retention time of the fixation points according to an eye movement trajectory curve, performing density clustering on the fixation points to obtain sight line distribution concentrated areas, calculating center coordinates and average retention time of each concentrated area, and generating a sight line distribution thermodynamic diagram; the reading efficiency score is calculated according to the reading speed and the review times of the reader, trend prediction is performed on a reading efficiency score sequence, the font size is dynamically adjusted according to a prediction result, if the predicted reading efficiency is in a descending trend, font amplification is triggered, and the font size adjustment amplitude is determined by the reading efficiency descending rate. Through real-time monitoring, intelligent analysis and self-adaptive adjustment, the effect and experience of quick reading training are remarkably improved, and an innovative solution is provided for improving the personalized reading ability.

The invention relates to the technical field of distributed storage, and discloses a data caching method, computer equipment, a storage medium and a program product, and the method comprises the following steps: obtaining a name of a to-be-read object and a to-be-read data range of the to-be-read object; judging whether a key value which is the same as the name of the to-be-read object exists in a preset hash data structure or not; if the preset Hash data structure does not exist in the to-be-read data range, reading corresponding data from the system main memory based on the to-be-read data range, returning the data to the client, and updating the preset Hash data structure and the window cache; judging whether the ratio of the used capacity of the window cache to the total capacity exceeds a first ratio threshold value or not; if so, acquiring a first eliminated cache object in the window cache; obtaining the access frequency of the first eliminated cache object, and screening out a target cache object of which the access frequency is greater than the access frequency of a tail cache object of a first linked list in the main cache from the first eliminated cache object; and caching the target cache object to a main cache. The service life of the solid state disk is prolonged.

The invention relates to the technical field of medical detection, and discloses a capsule endoscope image auxiliary diagnosis method based on deep learning, which comprises the following steps: acquiring an original image sequence of an alimentary canal shot by a wireless capsule endoscope, screening out an image sequence related to the alimentary canal in the original image sequence, and labeling the image sequence; sequentially performing data enhancement, geometric transformation and standardization processing on the marked image sequence, and clustering a prior anchor frame by using a K-means algorithm to form a capsule endoscope image data set; a deep learning model LD-YOLO is built, a YOLOv5 model is selected as a basis, optimization is carried out on the basis of the basic model, and a capsule endoscope image auxiliary diagnosis model is built; and training a capsule endoscope image auxiliary diagnosis model through the capsule endoscope image data set, and detecting an image to be diagnosed by using the trained capsule endoscope image auxiliary diagnosis model. According to the invention, the workload of doctors in image analysis can be greatly reduced, and the film reading efficiency is improved.

The invention relates to the technical field of data processing, and discloses a BIM model storage system and method based on lightweight data, and the system comprises a tree segment management module which is used for constructing a tree segment structure, and taking each segment as a storage unit; the segment multiplexing creating module is used for creating multiplexing segments in the tree-shaped segment structure, realizing data multiplexing in a reference mode, and creating style segments for centralized management of drawing attribute information; the parallel rendering module is used for rendering the model primitives by adopting a parallel computing method based on the geometric information and the attribute information in the multiplexing segments; the lightweight data generation module is used for organizing the BIM model data according to a tree-shaped segmentation structure and generating a binary data file; and the data compression module is used for compressing the binary data file to generate a compressed format storage file. The technical problem that efficient storage, transmission and application requirements of the BIM model are difficult to meet in the prior art is solved.

The invention discloses an RFID-based hydraulic single prop digital identity recognition method, which comprises the following steps of: firstly, carrying out clustering analysis according to sensor data to realize space division on an actual application environment scene, and then analyzing an environment interference error of a reading space in which a reader moves according to acquired RFID tag data; finally, the reading state corresponding to the moved time slot is predicted, parameters of the reader are adjusted according to the predicted reading state, self-adaption of the reading parameters is achieved, the adaptability of the reader to complex and changeable application environment scenes is improved, data collaboration of sensor data and RFID tag data is achieved, and the reading efficiency of the reader is improved. The environment scene where the RFID tags are located is fully analyzed through sensor data, different space areas correspond to different environment scenes, the reading efficiency of the reader is different, and when the reader carries out moving reading on the multiple RFID tags, the RFID reading efficiency is improved by adjusting parameters of the reader.

The invention relates to the technical field of information collection, in particular to an intelligent medical waste collection vehicle information collection method based on the Internet of Things, and the method comprises the following steps: binding a unique RFID tag for each medical waste container; the intelligent medical waste collection vehicle is provided with an RFID reader, and the RFID reader automatically reads the RFID tag of the medical waste container when the medical waste container is loaded. Performing multi-label reading optimization based on intelligent conflict detection and resolution; according to the method, priority ranking is carried out, dynamic optimized reading of conflicting labels is achieved, the mechanism effectively avoids reading conflicts in a multi-label environment, the overall reading efficiency of the system is improved, meanwhile, it is ensured that high-risk waste information can be preferentially and timely obtained, and the accuracy and reliability of information collection are remarkably improved.

The invention belongs to the field of medical image processing, and provides a differential CT image enhancement method based on noise level, which comprises six steps of data preprocessing, construction and training of a denoising network, construction and training of a super-resolution network, construction and training of a noise level classification network, CT image enhancement and data post-processing. According to the method, the noise level of the CT image is judged, different deep learning algorithms, namely a denoising or super-resolution model, are used for optimizing the quality of the CT image, the generalization ability is higher, and more complex and variable input data can be dealt with; data with noise are processed by using various traditional filtering methods and super-resolution pre-training models to obtain gold standard images required by training, so that time and energy are not required to be spent on collecting high-quality gold standard images in advance; the CT value of the output image is calibrated through post-processing operation, it is ensured that the CT value difference before and after enhancement does not affect the accuracy of clinical diagnosis, and compared with other methods without CT value calibration, the method has more practical application value.

The invention discloses a data acquisition device based on image intelligent identification, which relates to the technical field of education reading data acquisition, and provides more targeted reading suggestions for each student by establishing a reading file module and recording reading preferences and subject requirements of students in a personalized manner. Meanwhile, the monitoring point module and the book borrowing module are deployed, so that the borrowing behaviors of the students can be monitored and recorded in real time. And due to the design of the returned book damage detection module, the damage condition of the books can be found in time, so that the waste and loss of book resources are reduced. Through the reading behavior detection module, the system can analyze the reading behavior data of the students, and assess the self-discipline, the reading environment adaptability and the learning efficiency of the students. In combination with a first achievement rate evaluation module, a second quality evaluation module and a third environment evaluation module, the system generates a personalized reading path strategy for each student, thereby promoting the students to effectively improve reading efficiency and manage reading behaviors.

The invention relates to a data reading method and device, computer equipment, a storage medium and a computer program product. The method comprises the following steps: acquiring a data reading request, wherein the data reading request is used for acquiring data on second equipment; determining a corresponding target pre-reading scheme according to a data type corresponding to the data reading request and a system type corresponding to the first equipment; reading data on the second equipment according to the target pre-reading scheme to obtain pre-read data; and acquiring data corresponding to the data reading request from the pre-read data. By adopting the method, the correspondingly matched target pre-reading scheme can be determined according to different data types, and the data reading efficiency is improved.

The invention relates to a data reading and writing method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: receiving a data reading request; if the resource type corresponding to the data reading request is a pixel buffer object, aligning the horizontal offset of the pixel buffer object with a target buffer position to obtain a first mapping logic address; and converting the first mapping logic address into a first physical address, reading first target data from the pixel buffer object according to the first physical address, and storing the first target data to the target cache. By adopting the method, the data reading efficiency can be improved.

The invention relates to the technical field of vibration monitoring devices, in particular to a monitoring device for collecting blasting vibration at any depth in a soil body, which comprises a fixed disc, a limiting groove is formed in the middle of the upper surface of the fixed disc, an assembly port is formed in the middle of the ground in the limiting groove, and a vibration monitor is clamped and mounted on the fixed disc through the inner surface of the limiting groove. A hollow drill rod is installed below the fixing disc, a protruding butt joint is arranged at one end of the drill rod, the drill rod is installed in the assembling opening in a spirally inserted mode through the butt joint and connected with the fixing disc, a butt joint opening matched with the butt joint is formed in the inner surface of the other end of the drill rod, and a separating and disengaging screw blade is fixedly installed on the outer surface of the drill rod. And a drill bit is mounted below the drill rod. According to the invention, the monitoring equipment can be sent into a specific soil body depth according to the position needing blasting monitoring, so that the vibration monitoring operation in the soil body is easier to carry out, the labor amount of monitoring personnel is reduced, and the vibration monitoring efficiency is improved.

The invention discloses a method and a device for reading difference bitmap data. The method comprises the following steps: receiving a query request, wherein the query request at least comprises a to-be-queried target data fragment; traversing a preset cache of a client interface layer, acquiring the difference bitmap of the target data fragment from the preset cache under the condition that the preset cache contains the difference bitmap of the target data fragment, and querying the difference bitmap of the target data fragment through the collating group under the condition that the preset cache does not contain the difference bitmap of the target data fragment; and outputting the difference bitmap of the target data fragment. According to the method and the device, the technical problem of relatively low efficiency of reading the difference bitmap data in related technologies is solved.

The embodiment of the invention provides a memory system and an operation method, a system and an operation method, and a readable storage medium. The memory system includes a storage device and a controller coupled to the storage device; the controller is configured to receive a read command of a host; accessing a data block of a logic unit of the corresponding storage device according to the reading command, and updating heat information of the data block in a heat table; wherein the popularity information comprises the number of times that the data block is accessed by a reading command of a host; according to the popularity information of the data blocks in the popularity table, determining a selected data block in the plurality of data blocks; sending mapping information corresponding to the selected data block to a host; wherein the mapping information comprises a mapping relation table from a logic address to a physical address.

The invention provides a key value storage system. The key value storage system comprises a data pre-reading module, a cache management module and an index adjustment module. And the data pre-reading module is used for predicting the data blocks which can be accessed in the preset time period and loading the data blocks to the cache in advance so as to reduce reading delay and disk I / O (Input / Output) operation, so that the reading efficiency is improved. The cache management module is used for monitoring the running state of the key value storage system in real time and dynamically adjusting the cache space based on the running state, it is ensured that the cache meets the high hit rate, memory use can be reasonably controlled, resource waste is avoided, and the reading performance and the response speed are further improved. The index adjusting module is used for dynamically adjusting an index structure according to the access frequency of the key value pair, reducing disk I / O operation during reading, improving the searching speed and reducing the searching cost. Therefore, according to the key value storage system, the negative influence caused by read amplification can be reduced, the response speed of the system is improved, and faster and more efficient data access experience is provided for a user.

The invention provides a character string identifier sorting method and system, and the method comprises the steps: obtaining the sortable content in a to-be-sorted character string identifier, and obtaining a sortable character string; sequencing the sequenced character strings according to a digital sequence; and taking a sorting result of the sortable character strings as a sorting result of the corresponding to-be-sorted character string identifiers. The method has the advantages that after the sorting method is applied, sorting of the file names or the webpage list identifications conforms to the habit of people for number sorting, and the reading efficiency is improved. When the sorting method is applied to the field of online education, teaching content can be accurately sorted, teaching resources can be optimized and organized, the discoverability of the resources can be improved, learning outline generation is supported, and the content organization and utilization efficiency of the education industry is integrally improved.

The invention relates to an information reading method and device, equipment and a storage medium. The method comprises the steps that after an insertion event corresponding to a peripheral is monitored, file attribute information corresponding to the peripheral is read from the peripheral, and historical attribute information corresponding to the peripheral is acquired locally; generating a scanning control instruction according to the file attribute information and the historical attribute information; when the type of the scanning control instruction is a scanning starting type, scanning a file stored in the peripheral by utilizing a producer thread, and adding file information corresponding to the file into a producer queue; analyzing the file information in the producer queue by using a consumer thread and storing the analyzed file information in a local storage space; the producer thread and the consumer thread work in parallel. According to the method and the device, the file stored in the peripheral is scanned only when the type of the scanning control instruction is the scanning starting type, so that the problem that the information reading efficiency is reduced due to the fact that the peripheral is scanned under the condition that the file stored in the peripheral is not changed is avoided.

The invention discloses a document auxiliary reading system based on AI and a personalized knowledge base, relates to the technical field of document auxiliary reading, and solves the technical problem that in the prior art, personalized analysis is not carried out on a user, so that the system provides unnecessary auxiliary information, and the reading experience of the user is affected. According to the method, the reading document is converted into the reading text, the historical record of the user is converted into the historical text, the search vocabularies in the historical search text in the historical text are extracted, the historical search vocabularies are obtained in combination with the historical browsing text, the occurrence frequency and the search frequency of the historical search vocabularies are counted, and the historical search record is obtained; and extracting interpretation vocabularies in the reading text, matching the interpretation vocabularies with historical search records, obtaining mastering states of the interpretation vocabularies according to occurrence times and search times of the interpretation vocabularies in the historical search records, generating auxiliary tags based on the mastering states of the interpretation vocabularies, and adding the auxiliary tags to key vocabularies to complete auxiliary reading.

The invention belongs to the field of computers, and discloses an abstract generation method and device, equipment and a storage medium. The method comprises the steps of obtaining multiple pieces of target information; performing feature extraction on the multiple pieces of target information to obtain information features of the target information; clustering the multiple pieces of target information according to the information features to obtain different types of clustering information; and generating summary information corresponding to the clustering information of each category. As the information to be viewed is clustered, and then the summary information corresponding to the clustered information of each category is generated for the user to view, compared with an existing mode of selecting the target information from the information to be viewed one by one for reading when the user views the information, the target information can be clustered, and the user experience is improved. And the summary information corresponding to the clustering information of each category is generated, so that the reading efficiency of the user is improved.

This utility model relates to the field of metering device technology, specifically to an adjustable high-level viewing device, which mainly solves the technical problem of time-consuming and labor-intensive reading of existing metering tank trucks. The adjustable high-level viewing device includes a connecting assembly, a telescopic cylinder assembly, a reflective assembly, and a lifting assembly. The lifting assembly drives the telescopic cylinder assembly to rise and fall, adjusting the acquisition window to a suitable height so that light reflected from the display window of the container under test enters the optical channel through the acquisition window, and is then reflected by the reflective assembly within the optical channel to the reading window. This allows the operator to read the reading from the display window of the container under test through a lower reading window, without the need for stools or other structures, resulting in high reading efficiency and reduced manpower consumption.

The application discloses a multi-device data transmission system and method, which comprises a master control unit, a first channel switch, an input end of the first channel switch being connected with a plurality of RJ45 input interfaces, each of the RJ45 input interfaces being used for accessing a data acquisition device, an output end of the first channel switch being connected with the master control unit through a first RS485 bus, the master control unit being further connected with the first channel switch through a first channel control bus to control the conduction / cutoff of the first channel switch, at least one RJ45 output interface, the RJ45 output interface being used for accessing a data receiving device, the data receiving device being connected with the master control unit through a second RS485 bus after being connected with the RJ45 output interface. The multi-device data transmission system can not only solve the problems of device address allocation, impedance matching and device identification in the data transmission process, but also can integrate data and efficiently send data.

The invention relates to the technical field of artificial intelligence, in particular to a PACS image downloading method and device and a computer program product, and the PACS image downloading method comprises the following steps: recognizing a focus area image from a target PACS image in a PACS server according to a PACS image reading request of a PACS client; determining a target part category image where the focus area image is located; and downloading a first thickness layer slice sequence image corresponding to the target part category image to the PACS client. The method can effectively solve the problems that in the image reading process of the PACS client side, a large amount of DICOM images need to be downloaded, and waiting time is long.

The present application discloses a method, an electronic device, an electronic device and a medium for business processing. By applying the technical solution of the present application, the business data required for subsequent business processing can be retrieved from the storage cluster in advance and stored in a temporary storage space through a specific cache algorithm when the computing node is processing the current business. Thus, the efficiency of reading business data will be higher when the computing node is used for calculation without affecting the currently running tasks, thereby improving the efficiency of overall business processing.

The application discloses a file processing system based on Internet of Things, and relates to the technical field of Internet of Things, which comprises a processing carrier and a plurality of terminals, the processing carrier is used for sending protocols to each terminal, and sharing data and files within a specified range; after accepting the protocols, the plurality of terminals mirror backup internal files and data, each terminal acquires a plurality of sets of marking information, each set of information represents the file and data classification of the terminal, and each terminal marks each working state of itself to acquire working information Z; each terminal comprises a processing module, a receiving module and a mutual inductance module. When working, each terminal in the application collects data or files generated during its own work, classifies and assigns weights to the data or files, and transmits the files and their attached information between the remaining terminals and the processing carrier, so that the working state change speed between different terminals can be improved.

This application relates to a method, apparatus, device, medium, and product for generating visualization results of an indicator. The method includes: acquiring a data query file and a visualization conversion file; the data query file includes target library table information for each indicator among at least one indicator, the target library table information indicating a library table used to store indicator data for each indicator; the visualization conversion file includes at least one conversion file; in response to an indicator query instruction carrying an indicator to be queried, determining the target library table information of the indicator to be queried based on the data query file, and determining a target conversion file matching the indicator to be queried from the at least one conversion file; and generating a visualization result of the indicator to be queried based on the target library table information and the target conversion file. This method can improve the efficiency of generating visualization results for the indicator to be queried.

The present invention discloses a cross-modal medical image quality assessment and body position detection model and method, the model includes an information encoding module, a hybrid convolution model using super convolution and a Swin-transformer model; the information encoding module can generate corresponding medical image type codes according to the modal information, part information and type information of the data set; the hybrid convolution model can use different modal data sets and medical image type codes to perform quality assessment prediction training, and can perform quality assessment on predicted CT or MRI images; the Swin-transformer model can use different modal data sets and medical image type codes to perform body position prediction training, and can perform body position detection on predicted CT or MRI images. The present invention can accurately and automatically perform quality assessment and body position detection on medical images of multiple modes and anatomical parts, with high versatility, high speed, high accuracy and good robustness.

The invention discloses a retry threshold table generation method and device and a storage medium, and relates to the technical field of memorizers, and the method comprises the steps: obtaining a target threshold voltage range, and generating a plurality of threshold points on a preset coordinate system according to the target threshold voltage range; determining a threshold point corresponding to the target average threshold under the data retention time as a first threshold point, and determining at least one second threshold point in the plurality of threshold points, the second threshold point being a threshold point which is not determined as the first threshold point; obtaining the distance from each threshold point to the origin of the coordinates, and according to the sequence of the distances from large to small, sorting the first threshold points, and then sorting the second threshold points; and generating a retry threshold table according to a sorting result. According to the method and the device, the retry threshold table which meets the requirement of a read retry mechanism and has fewer retry times can be generated.