39results about How to "Reduce invalid data" patented technology

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 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 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 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 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 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 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.