36results about How to "Small amount of data" patented technology

The invention discloses a repeated data deleting method and device, and improves system reliability of a mobile intelligent terminal. The method comprises the steps of: carrying out matching on a data fingerprint of a current data block and data fingerprints in a hotspot hash table, and if a matching result is that the data fingerprint of the current data block is consistent with one data fingerprint in the hotspot hash table, determining the current data block as repeated data; and if a matching result is that the data fingerprint of the current data block is inconsistent with the data fingerprints in the hotspot hash table, carrying out matching on the data fingerprint of the current data block and data fingerprints in a hash fingerprint table, and when a matching result is that the data fingerprint of the current data block is consistent with one data fingerprint in the hash fingerprint table, determining the current data block as the repeated data, wherein the data fingerprint of each harsh table item in the hotspot hash table is a data fingerprint of which repeated times in at least one file reach a set threshold value, and the data fingerprints of the hash fingerprint table are stored data fingerprints of all the data blocks.

The invention relates to a method for predicting the dynamic volume of a sector area and adopts a dynamic volume predicating method to predict the volume of the sector area. The method comprises: firstly, predicating the dynamic density of the controlled sector in the future 30 min according to the tracking information and the related data; secondly, computing and recording the number of aircrafts in the controlled sector areas in 15 time intervals; thirdly, matching the dynamic density of the sector area and the number of the aircrafts in each time interval one by one and performing regression analysis on the computed points to further determine the relationship between the dynamic density of the sector area and the number of the aircrafts in each time interval; and finally, predicting the tread of a fitted curve. When the method is adopted to measure the volume of the sector area, the individual difference of controllers have little influence on the accuracy, data are easily acquired, the data flow is small, the computer network technical platform is adopted for support, no extra capita is required, and the evaluation is simple and accurate.

The invention belongs to the technical field of image processing, and particularly provides a rib fracture automatic detection method based on a rib expansion diagram, and the method comprises the steps: obtaining a rib CT image of each rib based on an original CT image; obtaining a rib expansion diagram of each rib based on the rib CT image of each rib; and detecting the rib expansion diagram through the rib fracture automatic detection model to obtain the fracture position of the rib. Rib segmentation is carried out on an original CT image to obtain a rib CT image of each rib; the rib CT image of each rib is unfolded to obtain a rib unfolding image of each rib; finally, the rib expansion diagram of each rib is detected through the rib fracture automatic detection model to obtain the fracture position of the rib, through the arrangement, labeling data needed by the training model can be greatly reduced, and the speed and accuracy of rib fracture position detection can be improved.

The invention discloses a web-based intelligent networked power monitoring and control system, which comprises a networked power quality monitoring module and a B/S module; the networked power quality monitoring module communicates with the B/S module through a web server; the networked power quality monitoring module comprises a power quality detection module, a Web server, a database server, an application server, a substation first detection terminal, a substation second detection terminal, a substation third detection terminal and an RS-485, wherein the B/S module includes a database (SQL2005), a Web server and a user terminal (Browser). The system also includes a power quality data C/S communication process. The system has the advantages of high intelligence, capability of providing the whole network type of power quality continuous measurement, analysis, diagnosis and statistical detection, and intelligent monitoring and analysis through the Web platform and the visualized trend platform.

The invention discloses a CO2 corrosion prediction plate establishing method considering multiple factors, and belongs to the technical field of oil and gas field corrosion protection. The method comprises the following steps: firstly, carrying out corrosion weightlessness test on steel by adopting a high-temperature and high-pressure kettle at different temperatures, CO2 partial pressures and chloride ion concentrations to obtain a corrosion rate measured value; then establishing a function relational expression and a relation curve graph of the corrosion rate, the temperature, the CO2 partial pressure and the chloride ion concentration by utilizing a nonlinear fitting method; and finally, drawing a CO2 corrosion prediction plate by integrating the obtained corrosion rate measured value,the function relational expression and the relation curve graph. The method considers the influence of various factors on CO2 corrosion, has high prediction precision and practicability, provides a reference basis for preventing corrosion failure of oil field metal facilities, and provides a technical guarantee for safe use of materials.

The invention provides an escalator safety monitoring method based on YOLOv3, and the method comprises the following steps: 1, intercepting a picture with a passenger taking an escalator in a historical escalator monitoring video, marking a character part in the picture as a target region, and making a data set 1 according to a PASCAL VOC data set format; classifying according to the posture of the figure in the target area, and making a data set II according to a PASCAL VOC data set format; 2, training a YOLOv3 network model 1 by using the data set 1; Using the second data set to train a second YOLOv3 network model; 3, real-time safety monitoring is conducted on the escalator, and position coordinates of a target area are output through a YOLOv3 network model I; and the target area picture is the input of the YOLOv3 network model II to identify the postures of the passengers on the escalator. According to the technical scheme, the problems that a model is too complex and the real-timemonitoring requirement cannot be met in a traditional method for recognizing pedestrian actions on the escalator are solved.

The invention discloses a two-dimensional code information transmission method and system. The method comprises the steps that two-dimensional code information is acquired; the two-dimensional code information is simplified to target two-dimensional code information according to a mapping relationship stored in a first database; a two-dimensional code is generated from the target two-dimensional code information; the two-dimensional code is displayed to a download terminal for scanning; and the two-dimensional code or the target two-dimensional code information restored from the two-dimensional code is transmitted through a network. According to the method, the problem that the two-dimensional code capacity is insufficient to describe the information content of the two-dimensional code information is solved.

The invention discloses a sliding window business data determination method and device and aims to solve problems that the quantity of acquisition-needing data is relatively large and system resource consumption is relatively large existing when a mode is employed to determine a statistics value of business data contained in a sliding window at a certain moment in the prior art. The method comprises steps that the statistics value of the business data contained in the sliding window at the first moment is acquired; a first statistics value of the business data in a first interval is acquired, and the first interval is a time interval between the first moment and a second moment; a second statistics value of the business data in a second interval is acquired, length of the second interval is not smaller than length of the first interval, and the second interval starts from the start moment of the first moment of the sliding window; a statistics value of the business data contained in the sliding window at the second moment is acquired according to the the statistics value of the business data contained in the sliding window at the first moment, the first statistics value and the second statistics value.

A method for indicating a valid area of a broadcast service is disclosed by the present invention, which includes that: for a Multimedia Broadcast Multicast Service (MBMS), the network side sends configuration information of the MBMS through an air interface; wherein location information for indicating the MBMS valid is added in the configuration information. A system for indicating a valid area of a broadcast service is disclosed by the present invention at the same time, which includes that: for the MBMS, a transmission unit is used for sending configuration information of the MBMS through an air interface; wherein location information for indicating the MBMS valid is added in the configuration information. The present invention satisfies the transmission requirements of operation providers for given area services, and can help a User Equipment (UE) to shield services need not to be received and reduce power waste.

The invention relates to a developer contribution analysis method based on a multi-aspect entity-aware generation model. Recursive decomposition and dynamic entity awareness are combined, and text nodes can be divided into different event nodes by means of top-down recursive application and then be divided into aspect nodes by means of recursive calling. For different development tasks that are involved, statistic data texts of the total work quality of a developer within a certain period of time and the workload and the work quality of the developer in a project are generated by decomposing all commit information submitted by the developer within a certain period of time and extracting event and aspect keywords of two texts of commit description and code modification. The present invention overcomes the shortcoming of development quality degradation of developers due to the lack of supervision on the work quality of the developers. The invention makes it convenient for project managers to grasp dynamic information of developers in time, and helps to deepen the understanding about developers, determine remuneration of developers and urge developers to improve the future work and improve the team software development efficiency.

The present invention provides a remote disaster recovery backup processing method and device, wherein the method includes: periodically acquiring the deployment data of a virtual machine storage volume, and determining the current period corresponding to the virtual machine storage volume according to the deployment data Incremental deployment data; store the incremental deployment data corresponding to the current cycle to a preset off-site storage address; wherein, the preset off-site storage address stores the initial data of the virtual machine storage volume and at least Incremental data for one cycle. The present invention adopts incremental backup to back up data, and each backup only needs to back up the data that has been increased or modified compared with the previous one. There is no repeated backup data among the data backed up each time, so the amount of backed up data is not large, the time required for backup is shortened, and bandwidth resources are greatly saved.

The invention particularly relates to a CT system parameter calibration and imaging method based on random transform. A calibration target composed of two uniform solid mediums is placed on a square tray, geometric information and absorptivity of the calibration target are known, and according to the calibration target and received information, the position of a CT system rotation center in the square tray, the spacing of detector units and 180 directions of X-rays are solved; the received information of the unknown medium 1 obtained by a CT system in question 1 is utilized, the correspondingdata files of the unknown medium 1 are known in advance, and the calibration parameters in the question 1 are utilized to determine the position, geometric shape and absorptivity of the unknown medium1 in the square tray; relevant information of the unknown medium 2 are obtained in the same way; and a new template is designed and a corresponding calibration model is established to improve the calibration accuracy and stability of the CT system. The CT system parameter calibration and imaging method improves the accuracy of parameters and has high imaging quality, and the method for solving each parameter is intuitive and easy to understand.

A transient security assessment method based on boundary region importance sampling and a kernel vector machine comprises the following steps: 1, obtaining a system operation sample, constructing a transient security index, and establishing a corresponding sample database; 2, sampling the sample database to efficiently generate an offline training sample set, and normalizing the offline training sample set to reduce the calculation burden of a machine; 3, constructing a transient security evaluation model of apower system, and carrying out offline training on the model by utilizing the training sample set; 4, based on the real-time operation data of the power system, completing evaluation of the real-time transient security state of the power system by using the continuously updated transient safety evaluation model to obtain a final transient stability evaluation result. The invention aims to provide the method which is beneficial to improving the speed of the training process and theprecision of the evaluation process, has higher applicability in the field of transient security evaluation of the power system, and can avoid blackout accidents.

The invention provides a page displaying method and device. The method comprises the following steps that: when an access request from the first page of a client side is received, determining the screening tag of the first page; through a first response message, sending the information of the screening tag to the client side to enable the client side to display the screening tag on the first page;when the access request, which is from the client side, of the screening tag is received, determining a second page corresponding to the screening tag; and through a second response message, sendingthe information of the second page to the client side to enable the display side to display the second page. Through the technical scheme of the invention, an object can be accurately recommended to the user, object recommendation efficiency is improved, the user is assisted in more accurately selecting the object through the tag, a server needs to process a small data size, and in addition, the burden of the server is not increased.

The invention discloses a behavior recognition method based on deep learning. The method is characterized by dividing the behavior recognition into a training stage and a recognition stage, at the training phase, preprocessing the triaxial acceleration data acquired by an acceleration sensor and extracting a resultant acceleration value; obtaining a root-mean-square value of quadratic sum of three-axis acceleration of xyz, performing STFT on a resultant acceleration value to extract a relationship between time and frequency in data, and inputting an energy spectrum of an STFT sequence and a behavior tag corresponding to each collected data as a training set of a behavior recognition model; and enabling the behavior recognition model to adopt a DRNN based on an LSTM unit, training the initial model by using training set data, and selecting the training model with the highest test set classification accuracy to be applied to the recognition stage. Compared with an existing scheme, the method is higher in recognition accuracy, lower in power consumption and suitable for working at an intelligent terminal with limited resources.

The invention provides a water body steady-state time prediction method based on visual perception, and the method comprises the steps: carrying out the processing of a collected bubble image, obtaining the number of bubbles, the floating speed and the floating deviation degree, and obtaining the shaking degree of a water body based on the number of bubbles, the floating speed and the floating deviation degree; obtaining the standard time required for the water body to reach the steady state according to the water body shaking degree; constructing a steady-state time prediction model based onthe volume of the device, the water inlet speed, the water outlet speed and the speed change degree when the mechanical arm adjusts the pose of the device, fitting the steady-state time prediction model by using a fitting algorithm based on the standard time required for the water body to reach the steady state, and solving an undetermined coefficient in the model. Parameters selected by the steady-state time prediction model are easy to obtain, the data volume and the calculated amount are small when steady-state time prediction is carried out, and the predicted steady-state time is accurate.

Provided is a medical information virtual reality server system which facilitates communication between users using three-dimensional data employed in a virtual reality space, facilitates communication relating to data between joint owners thereof, is also suitable for facilitating protection of privacy and handling of data relating to persons whose data has been acquired, and also improves the usability of the data. This virtual reality server system is provided with: a data input means for inputting medical image data; a segmenting means for dividing the medical image data into segments foreach characteristic part, including living body parts, implants, medical devices, index markers and wearable objects; a three-dimension data conversion means for converting the medical image data intothree-dimensional polygon data having segments; a tagging means for tagging the three-dimensional polygon data or the segments; a coordinate associating means for associating the three-dimensional polygon data with an arbitrarily defined world coordinate position; and a data output means for storing the three-dimensional polygon data in a database and outputting the three-dimensional polygon dataon the basis of the tags with which said data have been tagged.

The invention belongs to the technical field of rapid measurement of battery impedance, and relates to a lithium ion battery EIS low-frequency-band online measurement method based on step waves. The method comprises the following steps of: determining a proper step wave step number and a current amplitude based on electrochemical reaction characteristics of a lithium ion battery and actual requirements; applying step wave current in a proper frequency range to the lithium ion battery, performing sine fitting on the sampled step wave current and response voltage to obtain an impedance value of a required low-frequency band, and then forming a low-frequency-band electrochemical impedance spectrum, namely a low-frequency-band EIS, of the lithium ion battery. According to the low-frequency-band EIS online measurement method, the low-frequency-band impedance information of the lithium ion battery can be accurately reflected; the method has the effects that the low-frequency EIS test result of the lithium ion battery is high in precision, engineering is easy to realize and the like, and effective technical support is provided for rapid evaluation and safety early warning of the health state of the battery.

The invention discloses a GNSS local positioning error space modeling method. Error extraction and analysis are carried out through position data generated by a user daily, the navigation terminal canthus recognize an urban GNSS non-visible area without additional equipment support, and the error statistical experience parameters of the corresponding position are given. When the model is used, aslong as the approximate position of the current user is known, the current GNSS local error statistical parameter value can be queried, the model has a small amount of data, and transmission and updating between the network side and the terminal side is facilitated.

The invention discloses a small-spacing LED full-color synchronous screen receiving board and a working method thereof, and the method comprises the steps: designing to-be-processed contents, interfaces and resources of an FPGA and a single-chip microcomputer according to a data structure of a network packet, a to-be-displayed image and an LED display screen architecture, and obtaining an overall architecture of the FPGA and an overall architecture of a small-spacing LED full-color synchronous screen receiving board system; receiving a data packet by using a single chip microcomputer, performing command analysis on a command part of the data packet, and sending a control command through an SPI (Serial Peripheral Interface) bus; receiving a control command by using the FPGA overall architecture, and processing data according to the control command; receiving corresponding image data according to the control command and processing the image data; performing image correction on the processed image data; the FPGA is used for controlling an LED dot matrix scanning signal, and the HUB75 interface is used for controlling an LED driving chip to lighten a corresponding pixel. According to the invention, the characteristics of the single-chip microcomputer and the FPGA are combined, so that the processing work of data and commands of the sending card can be better completed.