9results about How to "Improve data compression ratio" patented technology

The invention discloses a database-based data indexing and query optimization system and method, belongs to the technical field of databases, and aims to solve the technical problem of how to improve the data indexing efficiency and query performance of a database system. According to the technical scheme, the system comprises a query optimization module, an index construction module and a data storage module; the data storage module is used for storing data records in a database; data records are stored in a column mode, the data compression rate and query performance storage are improved, and disk I / O operation is reduced; the index construction module is used for constructing an index according to the data record in the data storage module, the index adopts a B + tree design, and the number of I / O operations during data transmission between a disk and a memory is reduced; and the query optimization module is used for receiving a query request and optimizing a query path according to the index constructed by the index construction module.

The invention discloses a ghost imaging target reconstruction method based on FSD-GIRA, and relates to the technical field of digital image processing. According to the technical scheme, a fuzzy clustering algorithm is used for classifying feature values of an optical field intensity measurement matrix of an optical path detector, the feature values are reconstructed through singular value decomposition, dimensionality reduction processing of measurement data of a ghost imaging system is achieved, and the ghost imaging target reconstruction method based on FSD-GIRA is obtained. A WE-FOMP-CG algorithm is proposed, and recovery of sparse signals is optimized by combining generalized orthogonal matching pursuit, a conjugate gradient method and a multi-threshold wavelet noise reduction method; and selecting the most relevant sensing matrix array in each iteration, solving a linear equation set by using PCG, carrying out wavelet preprocessing and multi-threshold de-noising on a result, and updating and recovering estimation. The calculation efficiency and the convergence speed are improved, and a more accurate recovery result is provided in a high-noise environment. The invention also provides a WBDH algorithm, and the algorithm employs a dual denoising mechanism, including wavelet transform and a BM3D method, so as to guarantee that the restored image details and structures are reserved, and further improve the reconstruction quality of the ghost imaging target.

This invention provides a method and system for compressing power messages, relating to the field of power system control technology. The method includes: acquiring power messages via a first FPGA; timestamping the acquired power messages; caching the timestamped messages in a first shared memory; extracting messages from the first shared memory; parsing the messages according to their type and classifying and storing them in a second shared memory; extracting messages from the second shared memory by control block using a second FPGA; compressing the compressed packages corresponding to the control blocks; storing the compressed packages in a third shared memory; packaging and secondary compression according to a set time period; generating a total compressed package for that time period; and storing it on an SSD for dual-disk storage. This invention effectively reduces the storage space requirements for historical messages, improves the storage time of historical messages, and solves the problem of frequent failures in storing historical messages for post-event analysis of power systems.

The invention discloses an emergency scheduling method based on analog transmission and enhanced coding and decoding algorithms, which comprises the following steps of: arranging a central processing platform for receiving and distributing audio and video signals in a central command room, acquiring audio signals from each emergency communication node, coding the audio signals into network streaming media audio signals, and transmitting the network streaming media audio signals to the central command room; the audio processing module is used for transmitting to a central processing platform of a central command room through a network link; collecting video signals from each emergency communication node, and encoding the video signals into network streaming media video signals; transmitting the compressed digital signal to a central processing platform through an emergency communication network; performing secondary editing on the central processing platform; and at the target emergency communication node, decoding the received digital signal by using a central processing platform enhanced coding and decoding algorithm, and restoring the digital signal into an analog signal. According to the invention, efficient transmission and control of multi-type multimedia signals are realized through network coding and enhanced coding and decoding algorithms, and real-time transmission and multi-point interaction of information are ensured.

The invention provides a memory and a compression reading method, the memory comprises a plurality of memory blocks, each memory block comprises two memory halves, aiming at a compression reading instruction, a first memory half in the selected memory block generates a plurality of first data groups, and a second memory half generates a plurality of second data groups; the first compression module compresses the first half of the first data set and the second half of the second data set to generate low-order compressed data; the second compression module compresses the second half of the first data set and the second half of the second data set to generate high-order compressed data.

The present invention relates to the field of television image technology, and in particular to a color encoding method based on vision, including extracting frame images according to video segments; dividing the pixels of a single frame image into color zones using the RGB values ​​and grayscale values ​​of the pixels, and deconstructing the pixels of a single frame image according to the frequency of occurrence of the RGB values ​​of the pixels; dividing the RGB values ​​of the pixels of continuous frame images into subnetworks, and merging the subnetworks; performing intersection and union operations on the merged subnetworks to complete the deconstruction of the pixels of continuous frame images; and accumulating the fourth weight value and the fifth weight value of the RGB value of the pixel to obtain the total weight value of the RGB value of each pixel. The present invention reconstructs the WHV color encoding method based on the color distribution characteristics of existing images, so that the number of redundancies in color encoding is reduced from tens of millions to millions in actual use, and the original colors can still be restored, the image compression ratio is increased, and the image compression efficiency and transmission speed are improved.

The present invention discloses a data compression method suitable for low-level embedded systems, including the following steps: S1, processing target data to obtain the required data format, and confirming the minimum effective data length; S2, presetting the fault tolerance range according to the effective data length; S3, collecting a reference frame as a reference data reference table, and subsequent data compression and decompression are based on this reference data reference table, and update synchronization is performed on the basis of this reference data reference table; S41, compressing the data vertically line by line through the reference frame, comparing whether the changes before and after each section of effective data are within the preset fault tolerance range, and judging whether the effective data needs to be transmitted. The present invention can provide a higher data compression rate to a certain extent, is more suitable for low-level embedded systems, saves costs, replaces the existing complex compression transmission method with a simple and easy-to-implement compression method, makes the project development faster, and the entire compression method is easier to maintain and transplant.

The invention discloses a compression representation method for fundamental wave parameters in alternating current parameters, and the method comprises the following steps: for each phase of electrical parameter of a three-phase alternating current, compressing sign bits of a real part and an imaginary part of a fundamental wave to the last 2 bits of corresponding power when a full wave is greater than a certain preset value, the sign bit of the fundamental current is compressed to the last two bits of the active power, and the sign bit of the fundamental voltage is compressed to the last two bits of the reactive power. The compression method is visual, rapid and convenient to use, and the comprehensive precision of three-phase alternating current signal measurement cannot be reduced.

The present invention discloses a storage and reading method for classified raster data. The storage method includes: dividing the original classified raster data Data into statistical blocks with the unit statistical area as the minimum granularity, and storing the classification information of each statistical block; in order to improve the efficiency of reading the classification information of the statistical blocks of any row and column numbers from the data file in the future, recording the total storage space size value required for storing the classification information of all statistical blocks in each row; and storing the metadata information of the original classified raster data Data. The method can ensure the accuracy of the total number of classified pixels in each statistical block, and can use less storage space to record the distribution of each classified pixel by using the distribution flag data in the statistical block, and has a high data compression rate and flexible data accuracy control, and is suitable for various common classified raster data.