45results about How to "Reduce invalid data" patented technology

The present invention provides a method and apparatus for maximizing throughput of a data call in a wireless communication system in which data is transmitted from a wireless station, such as a mobile station, on multiple assigned channels in accordance with a known transmission standard, such as IS-95B. The multiple assigned channels include a fundamental channel and at least one supplemental channel. Data is formatted into variable rate data frames and transmitted on the fundamental channel and the supplemental channel. A wireless receiver, such as a base station, receives the multiple assigned channels. The wireless receiver demodulates and decodes data frames associated with each of the multiple assigned channels. The wireless receiver determines a likely initial data rate for each demodulated and decode data frame. The wireless receiver correlates all of the likely data rates, by comparison to one another and to a relevant transmission protocol standard, to determine a maximum likelihood combination of data rates. The maximum likelihood combination of data rates includes a maximum likelihood data rate corresponding to each likely data rate. Decoded data frames are invalidated and erased when the likely data frame rates do not match corresponding maximum likelihood data rates.

The invention discloses an outdoor wireless monitoring system of a patient in a hospital, consisting of three parts, namely a ZigBee wireless sensor network, a dual-mode wireless transmission system and an upper computer, wherein the ZigBee wireless sensor network comprises a coordinator node, a reference node and a patient positioning and physical parameter collecting node; the dual-mode wirelesstransmission system can carry out Ethernet transmission and GPRS network transmission; the software of the upper computer is divided into a head nurse station, a resident enrolled nurse station and anurse duty station. The system collects the physical parameters of electrocardio, blood oxygen, blood pressure, pulse rate, body temperature and the like and outdoor position data of the patient in real time; a true-code and reverse-code calibration method is adopted when in wireless transmission; a fusion method of Manhattan difference value positioning and Location Engine positioning is adoptedwhen in positioning; and the system has the functions of emergency alarm of patients, under-current alarm of batteries, threshold alarm of physical parameters and the like and ensures that the patients in outdoor activities obtain real-time and effective monitoring.

The invention discloses an image segmentation processing device based on SGDMA (scatter gather direct memory access). The image segmentation processing device comprises a DMA (direct memory access) controller, an external memory connected to the DMA controller, a video memory / an internal memory connected to the DMA controller through a bus, and GPUs (graphic processing units) connected to the video memory / the internal memory; and in addition, the image segmentation processing device further comprises an image segmentation controller, which is connected between the DMA controller and the external memory and used for segmenting data of an entire image in the external memory into blocks in advance; then the blocks are transmitted to the video memory / the internal memory by the DMA controller and further undertake the follow-up processing by the GPUs. According to the image segmentation processing device disclosed by the invention, the data of the image is segmented before DMA transmission, and the special data is only transmitted to each GPU, so that the bandwidth utilization rates of the bus and the external memory can be improved.

The invention belongs to the field of electronics, and in particular relates to an automatic detection method of a motor vehicle based on moving target tracking. The method includes the steps of processing an image of a camera, separating the foreground and the background, performing a thresholding processing to obtain a binarized image of a vehicle, searching for a binary contour by a corrosion function to determine the width and height that fit a car, determining whether the car is in the image by operation detection, and if so, triggering a video recording function; and if not, ending the video recording. Compared with the prior art, the method of the invention can only record valid data, records a video when a vehicle passes by and stops recording when no vehicle passes by, and can reduce a large amount of invalid data, reduce storage space requirements and achieve video recording of the car in a more efficient and targeted manner.

The present invention relates to the field of communications. Disclosed are a cache management method and device for solving the problem of how to improve cache resource utilization. The method comprises: receiving an access request and determining data to be accessed by the access request (301); judging the strength level of the spatial locality of the data to be accessed (302); and according to the strength level of the spatial locality of the data to be accessed, allocating a cache subunit corresponding to the level for the data to be accessed (303). The present invention is used for cache management in the field of communications.

The invention discloses a data processing method and apparatus. The method comprises the following steps: receiving target data; according to a preset data classification model, determining a probability that the target data belongs to each predetermined type, wherein the data classification model is a model established according to multiple pieces of filtered sample data; based on the probability that the target data belongs to each predetermined type, obtaining a classification result of the target data; and outputting a classification result. The data processing method and apparatus solve the problem of low accuracy of a conventional data processing method in related arts.

A method for reducing call power consumption of a mobile terminal and mobile terminal are disclosed in the present invention, wherein, the method includes: in a voice call process, the mobile terminal performing voiceprint modeling on an audio signal collected by the mobile terminal itself to obtain a voiceprint model, and judging whether the obtained voiceprint model matches with a stored voiceprint model of the user; if not matching, giving up performing wireless transmission on the collected audio signal or giving up performing baseband and radio frequency processing and wireless transmission on the collected audio signal, and if matching, performing the baseband and radio frequency processing and wireless transmission on the audio signal. With the present invention, voice call power consumption of the mobile terminal is reduced, battery usage time of the mobile terminal is extended, and user experience is enhanced.

The invention discloses a data collection method and device, a storage medium and an electronic device. The method comprises the steps of monitoring the incremental data generated by a log file of a client; transmitting the incremental data to a subscription message system by adopting an aggregation node sink; receiving a data pulling request of a database, and issuing the target data matched with a target topic to the database from the subscription message system, wherein the data pulling request carries an identification field of the target topic. Through the present invention, the technical problem of low data acquisition rate in the related technologies is solved, and meanwhile, the redundancy of business service codes is reduced.

The invention relates to the field of application development, in particular to a statistical method and device for public function execution time consumption, a storage medium and a terminal.The method comprises the steps that in the compiling period of an application program, configuring a compiling script of a third-party resource file of the application program, inserting a judgment code intoa public function in the third-party resource file through the compiling script; when the application program service code runs, obtaining a current stack of the thread according to the judgment code,obtaining calling information of a public function according to the stack, and determining a target public function called when the application program service code runs from the calling information;and acquiring calling starting time and calling ending time of the target public function, and determining execution time consumption data of the target public function according to the calling starting time and the calling ending time. According to the method, the execution time consumption of the public function called by the application program service layer in the third-party resource file can be counted, redundant and invalid data are reduced, and the execution data counting efficiency is improved.

The invention relates to a method and device for screening cold data, computer equipment and a storage medium. The method comprises the following steps: recording the migration times of data in an element area of a page in which the data are positioned; judging whether the migration times are larger than or equal to a threshold value or not; if so, marking the data in the page in which the migration times are larger than or equal to the threshold value as cold data. According to the method, the page is taken as a unit, the data migration times of the page are recorded in the element area of the page and compared with the threshold value, and all data in the page are marked as the cold data and stored in a cold data block when the data migration times are up to or exceeds the threshold value, so that only cold data are contained in a block after last cold data precipitate, a relatively small amount of invalid data is contained, the performance of a solid state disk is improved, and theservice life is ensured.

The invention relates to the field of multi-source heterogeneous data processing, in particular to a multi-source heterogeneous data unified aggregation method and system, and the system comprises a client, a cloud server and a memory. A data acquisition module is arranged on the client; the cloud server is provided with a data processing module and a data fusion module. The multi-source data information is acquired through the data acquisition module, the data processing module groups and eliminates isomerism of the data, the data pool is manufactured, the data decision model checks the fusion degree of the data in the data pool, meanwhile, the data in the data pool is adjusted until the estimated fusion degree is reached, and then fusion is performed. Unified aggregation of multi-source heterogeneous data is achieved, the aggregation fusion degree is high, invalid data are few, classified storage of a large amount of data is facilitated, and the subsequent query efficiency is effectively improved.

The invention relates to a method for acquiring internal stress and strain response data of a full-scale accelerated pavement test loop road and a system thereof, and belongs to the field of road internal mechanical state detection. The method comprises the following steps: acquiring massive sensor data through a data acquisition unit at a front end, and transmitting the acquired massive sensor data to a data aggregation server; performing a series of processes such as parsing, screening and filtering on the data through each layer of data processing server at a back end; and finally storing the obtained stress and strain response information in a data array for subsequent road relevant researches.

The invention discloses a user terminal, and a data transmission method and apparatus under a UM mode. The method comprises the following steps: in response to a received data packet transmission request, establishing a wireless bearer for the data packet, and obtaining a sdu_size value corresponding to the data packet from a transmission queue; determining an optimal pdu_size value corresponding to the data packet, wherein the optimal pdu_size value satisfies the following expression: in a pdu_size selectable set, pdu_size>=(sdu_size+li_ size+pdu_hl_size), and the optimal pdu_size value is a pdu_size value enabling pdu_size-(sdu_size+li_size+pdu_hl_size) to be the minimum; and setting the pdu_size value in the wireless bearer to be the optimal pdu_size value. According to the invention when sdu_size is changed, the pdu_size value in the wireless bearer can be timely adjusted, such that invalid data is reduced, and high-efficiency transmission of uplink data is facilitated.

The invention relates to the technical field of risk control data processing, in particular to a multi-source risk control data cleaning processing method. The method comprises the steps of collectinghistorical data and enabling a system to import risk control historical data in a full import mode; carrying out real-time data acquisition: enabling the system to acquire increment change based on adatabase log analysis mode to realize real-time data synchronization; performing pattern matching: performing pattern matching on the data on the basis of the similarity of the attributes; making semantic conversion: converting the attribute data of each heterogeneous data source into standard data; filtering invalid information and recognizing and eliminating wrong data and repeated data; encrypting data: encrypting original data; and making data compression: carrying out lossless compression processing on the original data. The data designed by the invention adopts a multi-source acquisition mode, and meanwhile, unification of the data is realized, data processing is facilitated, invalid data can be reduced, and the data processing efficiency is improved.

The invention provides a data fusion method and device, electronic equipment and a computer readable storage medium, and the method comprises the steps: classifying to-be-fused data from different sources, and obtaining a plurality of subclass data; searching similar data of each sub-category data in a pre-established standard database, and determining the similarity between the similar data and the sub-category data; and fusing the sub-category data with a standard database according to the similarity. According to the method, the classification error rate can be reduced, invalid data in thefusion database is reduced, and the quality of database data is improved.

The invention aims to provide a patent transaction big data acquisition and processing method for acquiring patent transaction information by adopting a big data means. By means of the method, patenttransaction information including publishing time, publishers, contact information and purchase and demand information can be collected in a time-saving and labor-saving mode, so that a patent transaction information base is formed, and data support is provided for construction of a patent transaction platform. The patent transaction big data collection and processing method comprises the following steps: collecting group chat information in an instant chat tool to generate original data; Wherein the instant chatting tool can be WeChat, QQ or other similar tools; Identifying and extracting theoriginal data to generate effective data; Performing standardized extraction on the effective data to form standard data; Wherein the standardized extraction comprises seller data standardized extraction and buyer data standardized extraction; And merging and classifying the standard data to form final data.

The invention discloses a high-throughput sequencing library and a construction method thereof. The construction method comprises the following steps: S1. acquiring a DNA fragment from a DNA-protein cross-linked complex; S2. enzymatically digesting the DNA fragment by virtue of exonuclease; and S3. constructing a library for the enzymatically digested DNA fragment so as to obtain the high-throughput sequencing library, wherein the exonuclease refers to nuclease which acts on double-stranded DNA only and has the activity of 3'->5' exonuclease rather than the activity of DNA polymerase. By replacing a klenow fragment which has the activity of the 3'->5' exonuclease and the activity of the DNA polymerase in the prior art by virtue of the exonuclease which has the activity of 3'->5' exonuclease and does not have the activity of DNA polymerase, the library construction method disclosed by the invention can be used for removing the marker in a non-target fragment more thoroughly, so that the purity of the obtained DNA fragment is greatly improved, and subsequently the effective quantity of subsequent sequencing data is increased.

The embodiment of the invention provides a data processing method and device, a terminal and a computer readable storage medium, and relates to the field of cloud computing. The method is applied to aterminal, and comprises the following steps: when monitoring that a user triggers an interaction event, judging whether the interaction event is inherited from a preset burying point event base classor not; wherein the preset buried point event base class represents a specified event to be uploaded; and if the interaction event is inherited from the preset buried point event base class, determining an event parameter of the interaction event as to-be-uploaded data. Based on the above processing, the data can be uploaded according to the needs of developers, and the uploaded invalid data is reduced.

The invention discloses an image segmentation processing device based on SGDMA (scatter gather direct memory access). The image segmentation processing device comprises a DMA (direct memory access) controller, an external memory connected to the DMA controller, a video memory / an internal memory connected to the DMA controller through a bus, and GPUs (graphic processing units) connected to the video memory / the internal memory; and in addition, the image segmentation processing device further comprises an image segmentation controller, which is connected between the DMA controller and the external memory and used for segmenting data of an entire image in the external memory into blocks in advance; then the blocks are transmitted to the video memory / the internal memory by the DMA controller and further undertake the follow-up processing by the GPUs. According to the image segmentation processing device disclosed by the invention, the data of the image is segmented before DMA transmission, and the special data is only transmitted to each GPU, so that the bandwidth utilization rates of the bus and the external memory can be improved.

The present application discloses an IPTV 4K audio and video playback management method, device, and display device. The method includes: reading and parsing 4K audio and video data; acquiring RTP serial numbers of the parsed audio and video data; judging whether the RTP serial numbers are continuous; If the RTP serial number is continuous, the audio and video data corresponding to the RTP serial number is sent to the audio and video module for playback; if the RTP serial number is not continuous, it is determined whether the RTP serial number has expired; if the RTP serial number has expired, the audio and video data corresponding to the RTP serial number will be discarded, and Send the agreed return value to the audio and video reading module. The present application determines whether the audio and video data is retransmission data by judging whether the RTP sequence number is continuous and whether the RTP sequence number is expired, and discards the retransmitted audio and video data, thus reducing the data retransmission rate and reducing the invalid data in the data packet , which effectively avoids the 4K video playback freeze, makes it clear and smooth playback, and greatly improves the video playback quality.

The invention provides a statistical analysis method for transaction drainage data. The method can be applied to the technical field of big data. The statistical analysis method for the transaction drainage data comprises the following steps: after each drainage transaction is completed, transaction element information of the drainage transaction is acquired; the transaction element information is written into a distributed message queue, and the transaction element information is classified and stored according to drainage transaction categories; in response to a request of a drainage transaction reference party, the transaction element information of a drainage transaction category requested by the drainage transaction reference party is acquired from the distributed message queue; and based on the transaction element information, transaction drainage analysis of the drainage transaction categories is carried out. The invention further provides a statistical analysis device for the transaction drainage data statistical analysis device, equipment, a storage medium and a program product. According to the invention, the transaction element information is written into the distributed message queue, so the statistical analysis process of the transaction drainage data is simplified, invalid data is reduced, and the statistical analysis efficiency and accuracy of the transaction drainage data are improved.

The invention discloses an outdoor wireless monitoring system of a patient in a hospital, consisting of three parts, namely a ZigBee wireless sensor network, a dual-mode wireless transmission system and an upper computer, wherein the ZigBee wireless sensor network comprises a coordinator node, a reference node and a patient positioning and physical parameter collecting node; the dual-mode wireless transmission system can carry out Ethernet transmission and GPRS network transmission; the software of the upper computer is divided into a head nurse station, a resident enrolled nurse station and a nurse duty station. The system collects the physical parameters of electrocardio, blood oxygen, blood pressure, pulse rate, body temperature and the like and outdoor position data of the patient in real time; a true-code and reverse-code calibration method is adopted when in wireless transmission; a fusion method of Manhattan difference value positioning and Location Engine positioning is adopted when in positioning; and the system has the functions of emergency alarm of patients, under-current alarm of batteries, threshold alarm of physical parameters and the like and ensures that the patients in outdoor activities obtain real-time and effective monitoring.

The invention discloses a two-wire cascade application system for power supply and data transmission at the same time and an implementation method thereof. The two-wire cascade application system comprises a controller, a cascade chip and an LED lamp, the controller is connected with the cascade chip, the cascade chip is connected with the LED lamp, a voltage clamping module, a power supply module, a data storage module, a PWM constant-current output drive circuit, an R end, a G end, a B end, a W end, a VCC / DATA end and a GND / DATA end are arranged in the cascade chip, and a data sampling calibration module, a power line sampling transmission data module, a instruction setting chip initial state module, a module for judging whether the E-fuse address is the same as the chip initial addressor not and an E-fuse module which are connected in sequence are also arranged in the cascade chip. For the cascade application, the accuracy of the cascade application is ensured, the production costis saved, the production process is simplified, the production automation is realized, the display effect is optimized and the like.

The application discloses a garbage collection space management method, device and computer-readable storage medium. Wherein, the method includes pre-constructing multiple block recovery selection modules, and each block recovery selection module is divided into multiple inefficiency intervals with different inefficiency ranges. When it is detected that there is a target data block full of data, the target data block is migrated to the corresponding inefficiency interval in the target block recovery selection module according to the inefficiency of the target data block, and every first preset time based on the current inefficiency will be The target data block is adjusted to the corresponding inefficiency interval; when there is a block recycling selection module with the highest inefficiency interval that meets the garbage collection conditions, the data block is selected from each block recycling selection module according to the order of the data block usage time from old to new to be garbage Recycling, in the process of garbage collecting data blocks, it is realized that data blocks with more invalid data can be selected to reduce the amount of migrated data, and at the same time, invalid migration can be reduced to reduce system overhead.

A thermal power plant electrothermal energy state data measurement accuracy index prediction method comprises the following steps: 1, determining thermal power plant electrothermal energy state data measurement accuracy index related parameters; 2, establishing a time sequence of parameters related to the measurement accuracy of the electric heating energy state data of the thermal power plant according to the obtained measurement values; 3, an influence factor # imgabs0 # of parameters related to the measurement accuracy of the electric heating energy state data of the thermal power plant at the next moment is calculated; 4, predicted values of the parameters related to the measurement accuracy of the electric heating energy state data of the thermal power plant at the moment Tm + 1 are calculated; 5, obtaining a normalized value of the prediction value of the parameter related to the measurement accuracy of the electric heating energy state data of the thermal power plant; and 6, calculating a prediction value # imgabs1 # of the measurement accuracy index of the electric heating energy state data of the thermal power plant at the time of Tm + 1 to realize prediction of the measurement accuracy index of the electric heating energy state data of the thermal power plant. By means of the method, the data measurement accuracy can be improved, electric heating system resource regulation and control are optimized, and real-time supply and demand interactive balance and intelligent optimization and adjustment are achieved.

The invention discloses a time estimation cooperative processing method based on an ARM-FPGA coprocessor heterogeneous platform. The time estimation cooperative processing method is applied to a scenethat a big data storage unit and a computing unit are separated. A high-performance hardware FPGA coprocessor is deployed in a storage unit through an AXI protocol interface so as to enhance the dataprocessing capacity at the node of the storage unit and provide computing power for preprocessing of mass data. When redundant information in source data is too little, if source data preprocessing is carried out again, the data interaction time and the data preprocessing time of a storage unit are increased, and the time delay of the whole process cannot be reasonably reduced. Therefore, the preprocessing amount of the source data is estimated in a probabilistic mode, and whether data preprocessing needs to be conducted or not is decided. Estimating the time overhead in the whole process through a time estimation method, wherein the time overhead comprises the sum of time delays of source data extraction, transmission communication, calculation and the like. And finally, a proper processor is selected for data processing, so that the efficiency is maximized, and the overall performance of the system is improved.

The invention relates to the technical field of image display, in particular to a metal metallographic structure image classification display method and system. The method comprises the following steps: preprocessing a metal metallographic structure image, calculating and evaluating an image feature index Tzls, quantifying the overall quality of the metal metallographic structure image, automatically screening low-quality and repeated images, and reducing stored and processed invalid data; classifying the metal metallographic structure images by using two characteristics of structural factors and defect factors of the metal metallographic structure; the metal metallographic structure image is classified and graded by calculating and evaluating a structure characteristic index Jtzs and a defect characteristic index Qtzs; and all grade division results are transmitted to the image classification display module, so that timely and accurate data transmission is ensured, a user searches and filters according to a structure grade or a defect grade, a required image is quickly found, and the working efficiency is improved.

The invention discloses a Cache management method and device, relates to the communication field and is used for solving the problem of how to improve the utilization rate of cache resources. The method provided by the present invention includes: receiving an access request, determining the data to be accessed that needs to be accessed by the access request; judging the strength level of the spatial locality of the data to be accessed; The weak level allocates cache subunits corresponding to the level for the data to be accessed. The invention is applicable to the communication field and is used for realizing the management of Cache.

The invention discloses an on-line debugging method for an FPGA (Field Programmable Gate Array) with dynamically variable sampling frequency, and relates to the technical field of FPGAs. According to the method, a user circuit and a monitoring circuit are realized by the FPGA based on a configuration code stream by utilizing programmable logic resources, in the operation process of the user circuit, a clock adjusting module in the monitoring circuit adjusts a sampling clock of a sampling module. the sampling module adopts the corresponding sampling clocks at different time periods to sample the to-be-observed signal to adapt to the running state of the to-be-observed signal, so that on the premise of ensuring that the signal change is monitored, the repeated and unchanged invalid data of sampling is reduced, and the monitoring and debugging efficiency is improved.

The embodiment of the invention provides an analysis method of software operating period performance. The analysis method comprises the following steps: starting a software system to be analyzed, wherein the software system to be analyzed is provided with a probe in advance; installing the probe into the software system through a bytecode; through the probe, collecting the performance index of the software operating period; and according to the performance index, analyzing the software operating period performance. Through a dynamic plugin technology, a performance probe is provided by aiming at the performance index which needs to be monitored by the software, each meaningful performance index is collected, filtered and stored in a software operation process through a way of software operating period configuration, and a software development process is not invaded. During the operating period, the performance index which is configured at present permits to be dynamically added, revised and deleted so as to change the collected performance index, the performance probe supports the sampling and the filtering of the performance index, ineffective data is reduced, and data accuracy is improved.