83 results about "Eristalinus" patented technology

A method of storing data in a distributed manner based on data compression ratio prediction, and a mass storage device and system using the method are disclosed. The device includes a compression ratio predicting unit, a compressing unit, and a control unit. When an address and first unit sized data are received, the compression ratio predicting unit estimates the predicted compression ratio of the first unit sized data. The compressing unit generates compressed data. The control unit calculates the benefit of compression based on at least the estimated predicted compression ratio, stores the compressed data in a first storage area if the calculated benefit of compression is higher than a predetermined benefit threshold value, and stores the first unit sized data in the second storage area if the calculated benefit of compression is equal to or lower than the predetermined benefit threshold value.

The invention relates the field of remote monitor system and discloses a remote audio and video monitor system. The system comprises a client and server, wherein the client is connected to the server through the internet. The system also comprises a web camera which is connected to the server through the internet. The client establishes a monitor relation with the web camera through the server. The web camera is used for colleting, compressing, storing and transmitting audio and video data. The data of the remote audio and video monitor system has a high compression ratio, the bandwidth is saved and the audio and video having high quality can be transmitted in real time.

The invention relates to a method and a device for optimizing data placement to reduce data fragments. The method comprises the following steps of: carrying out data partitioning on each file to be backed up, and determining a data block fingerprint of each data block to be backed up; organizing a plurality of continuous data blocks to be backed up into a data segment to be backed up; searching whether the data block same as that backed up by the backed-up data segment in the system as to each data block to be backed up in the data segment to be backed up, if not, judging the data block to be a non-repeated data block, entering a data reading and writing step, if so, judging the data block to be a repeated data block, and entering the next step; calculating the data redundancy locality of the data segment to be backed up and the backed-up data segment, and quantifying the data redundancy locality, if the value of the data redundancy locality is smaller than a preset threshold, entering the data reading and writing step, or else, entering the next step; and deleting the repeated data block shared by the data segment to be backed up and the backed-up data segment from the data segment to be backed up. According to the method disclosed by the invention, non-sequenced placement of the data and the data fragment are reduced; deterioration of the data fragment is slowed down under the premise of sacrificing a little of data compression ratio; and the reading and writing performance of the system is improved.

The invention relates to the technical field of communication, in particular to a signal sending method, device and system. The method is applied in a system provided with a radio remote unit RRU and a baseband processing unit BBU. The method includes receiving CPRI (common public radio interface) signals sent by the radio remote unit RRU; performing channel separation processing on the CPRI signals, acquiring channel signals, at least containing physical uplink shared channel signals, after the separation processing; performing multi-antenna equalization processing on the physical uplink shared channel signals; sending the processed physical uplink shared channel signals to the baseband processing unit BBU. The method has the advantages that multi-antenna data streams can be compressed, data compression rate is increased, and data transmitting cost is reduced.

The invention discloses a mobile device memory compression method based on dictionary encoding and run-length encoding. The mobile device memory compression method based on the dictionary encoding and the run-length encoding mainly solves the problem that an existing dictionary encoding compression method and an existing run-length encoding compression method are low in compression ratio of memory data. The mobile device memory compression method based on the dictionary encoding and the run-length encoding mainly comprises the following steps of (1) reading in the memory data and the lengths of the storage data, (2) judging whether the memory data are compressible data, directly recording the lengths of the data and the data when the data are not compressible data, and using a run-length encoding compressed format to compress continuous identical character strings when the data are compressible data, (3) using a dictionary compressed format to compress other ordinary memory data, (4) judging whether compression is carried out on the tail of the memory data, stopping compressing when the compression is carried out on the tail of the memory data, and continuing reading in the memory data when the compression is not carried out on the tail of the memory data. Compared with existing other storage compression methods, the mobile device memory compression method based on the dictionary encoding and the run-length encoding is higher in compression ratio, thus more residual space can be released for an internal storage of a mobile device, operating efficiency of the mobile device can be improved, and the mobile device memory compression method based on the dictionary encoding and the run-length encoding can be used in mobile devices which need memory compression.

The invention discloses a data type-based numeric data compression and decompression method. The data compression method includes the following steps: (1) the determination of a forward data type transformation mode; (2) the determination of a forward data transformation formula; (3) forward data transformation; (4) the generation of a binary data file; (5) the registration of a compression mark.The data decompression method includes the following steps: according to the compression mark, determining an inverse data type transformation mode and an inverse data transformation formula, carrying out inverse data transformation, and storing the restored data into a binary file. Under the premise of meeting applicable conditions, the method can be changed to use a small-length memory unit, sothat the quantity of stored data can be correspondingly reduced to half or one quarter or even one eighth of the original quantity, the data compression rate is high, the quantity of stored data is small, the speed of task computation and the speed of transmission are increased, data are open, and the data type-based numeric data compression and decompression method is highly compatible, and is easy to implement.

The invention discloses a method for compressing data of an embedded system, which comprises the following steps: confirming same byte strings in data to be compressed and replacing the same byte strings besides the first byte string by the distance of the same byte strings and the number of same bytes. The invention also discloses a method for uncompressing data of the embedded system, which comprises the following steps: when the compressed data contain a compressing mark, acquiring the distance and the byte number instead of the byte strings, acquiring bytes with the byte number in the distance in the uncompressed data and filling the current uncompressed data. The invention also discloses devices for realizing the methods. The invention is particularly suitable for the embedded systemwith byte stream transmission, the more the repeated byte strings transmitted by a byte stream in the embedded system is, and the higher the data compression ratio is, thereby the CPU occupation rateof the embedded system is in a lower level.

Memory resources can be optimized by dynamically determining a threshold value of a storage device used for buffering in accordance with a compression rate of data for streaming reproduction. A data reproduction device for temporarily storing compressed data that is downloaded from a server 5 and sequentially performing the streaming reproduction, wherein the amount of data stored in a HDD 13 is optimized by changing and setting the threshold value in accordance with the compression rate of the compressed data.

The invention relates to a data compression storage method and a data compression storage apparatus. The data compression method comprises the following steps: a segmentation step of segmenting original data into multiple fields; and a compression step of compressing different fields by adopting different compression strategies based on different data contents and storing the compressed data. According to the data compression storage method and the data compression storage apparatus, different compression methods are adopted for different data contents, so that the data compression efficiencyis effectively improved; and compared with universal data compression tools such as GZIP, SNAPPY and the like, the data compression rate is remarkably improved.

The invention discloses a cloud storage method for reducing a data-occupied space. The method comprises the following steps: uploading data to a cloud storage server from a terminal; using a block detection technique of a fixed size classification algorithm to delete the repeated data; and after the data is stored into a data block, using an LZW data compression technique to reduce the size of a basic data block so as to realize data compression. The data compression technique and the repeated data deleting technique are combined to delete the repeated data and then compress the data, the higher data reduction ratio is realized, and the higher data compression ratio and data compression performance are obtained.

The invention provides a personalized head related transfer function generation system and method based on sectional type multiple linear regression. When a function is generated, time-delay removing, redundancy information simplification and data grouping processing are carried out on head-related impulse response data in a sample head-related transfer function information base. Then the grouped data and anthropometric parameter data in the sample database are subjected to multivariate linear regression analyzing to establish a personalized model. In personalization calculation, by inputting the anthropometric parameter information of a personalized object, the head-related pulse response data corresponding to various directions are obtained through personalization model operation; and fine adjustment of anthropometric parameters is carried out to finally generate the personalized head-related transfer function suitable to a determined object. The personalized head related transfer function generation system and method of the invention directly process head-related impulse responses in the head-related transfer function sample base without frequency domain analysis of the data, and has the characteristics of high operation efficiency, high data compression rate and an obvious personalization effect.

The invention discloses an industrial real-time data compression method with a high compression ratio. The method is characterized by: reading in n data points and using a minimum square fitting method to fit a linear equation; if the n data points do not satisfy that linear equation deviation is less than a compression threshold, storing a starting point, then reading in the n data points after the starting point to fit the linear equation and restarting; if the n data points satisfies, reading in and determining whether the subsequent data point data value deviation is less than or equal to the compression threshold Delta; if the deviation is less than the Delta, abandoning, continuously reading in and determining the subsequent data points till the deviation is larger than the compression threshold Delta; if the deviation is larger than the compression threshold Delta, recording a fitted value of the previous data point, taking the previous data point as a start of reading in the data, re-reading in the n data points so as to carry out fitting determination and storing till all the industrial real-time data is compressed. In the invention, a direction of the linear equation accords with a variation trend of the subsequent data points. In a certain compression threshold scope, a data compression ratio is good and the ratio is larger than the ratio obtained by using the traditional compression methods.

The invention relates to a complexity image lossless compression method supporting random access and belongs to the technical field of video image compression. The method includes the following steps that an image is segmented into macro blocks which are divided into three regions; intra-frame detection is carried out; a mode with the minimal code bit cost is chosen to obtain a residual image of the optimal predicting mode; the residual image is segmented into different small blocks to undergo self-adaption variable-length encoding and lossless compression code streams are obtained through a compression code stream generating module. The problem of data dependency of boundary pixels among the macro blocks is solved by dividing the macro blocks into the three regions. A high data compression rate can be achieved by means of a block/pixel self-adaption predication, differential encoding and self-adaption variable-length encoding combination compression method. The lossless compression effect for the 1080p resolution ratio can be more than 50%.

The present invention provides an image processing circuit capable of performing overdrive processing on all gray-scale while suppressing the degradation of the contrast of a liquid crystal display. According to the present invention, an image processing circuit for a liquid crystal display performing overdrive processing includes a data compression circuit for compressing the gray-scale of image data in the direction of medium gray-scale with a predetermined data compression ratio and outputting compressed data, an FRC processing circuit for performing pseudo-gray-scale processing on the compressed data and outputting pseudo-gray-scale image data having the same number of gray-scale as the number of gray-scale of the image data and an overdrive processing circuit for setting the voltage difference between the highest gray-scale and the lowest gray-scale of the pseudo-gray-scale image data to be greater than the voltage difference between the highest gray-scale and the lowest gray-scale of the compressed data, assigning a new voltage in the region of the gray-scale difference between the image data and the compressed data and utilizing the new voltage for overdriving processing.

The invention relates to a power monitoring system based on a real-time database, and belongs to the field of power monitoring system, which is divided into three modules, namely, a man-machine interface module, a real-time database and a communication module. The least square method is used to detect the abnormal data, smooth the abnormal data, and then compress the preprocessed data by the rotary door compression algorithm. The electric power monitoring system adopts the three-level storage mode of memory database, history database and disk storage to realize the real-time database. In the technology of real-time database, On the basis of guaranteeing the accuracy of historical data compression, The least square method is used to detect abnormal data, and the abnormal data is smoothed toavoid the adverse effect of abnormal data on data compression accuracy and compression efficiency, and then the rotary door compression algorithm is used to compress the preprocessed data, so as to improve the data compression rate and reduce the waste of storage space.

The invention discloses a data storage method and device. The method comprises the steps of determining the data type of the to-be-stored data; determining a data compression format corresponding to the to-be-stored data according to the data type; compressing the to-be-stored data based on the corresponding data compression format; during the compression process, segmenting the compressed data from the to-be-stored data based on a preset segmentation condition to obtain the compressed data; and storing the compressed data into a target database. By means of the technical scheme, the data compression rate can be increased, the capacity expansion of the database is achieved, the data compression processing before warehousing can be achieved, the data processing burden after warehousing is reduced, and fewer computing and storage resources are occupied.

The embodiment of the invention discloses a log transmission method and device, a computing device and a memory medium. The method comprises the steps of standardizing time parts of log lines into time data of a first preset length; compressing content parts of the log lines, thereby obtaining compressed content data; and combining the time data and the compressed content data into a sending datapacket according to a preset sequence. According to the scheme, the time parts in log data are standardized, a data compression ratio is improved, the follow-up system processing is facilitated, and the log transmission efficiency is improved.