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

The invention provides a topic detection method and device based on big data. By means of the topic detection method and device, accuracy and timeliness of detection effects can be guaranteed at the same time under the condition that a large amount of web page text is updated quickly in the internet environment. The method includes the following steps: extracting hot web pages according to user network behavior data; collecting contents of the hot web pages; extracting and acquiring web page feature vectors of the hot web pages according to the contents of the hot web pages; clustering the hot web pages according to the web page feature vectors of the hot web pages to acquire corresponding potential hot topic classes; carrying out incremental clustering on newly-added web pages with the potential hot topic classes as seed classes, wherein the newly-added web pages comprise on-line web pages; and judging whether the potential hot topic classes after the incremental clustering are hot topic classes through analyzing corresponding user attention degree parameters of the potential hot topic classes.

The invention discloses an electrocardiogram (ECG) signal based identity authentication method, including a registration link and an authentication link, wherein the registration link includes the following steps: pre-storing a negative sample, pre-processing an ECG signal that is used as the negative sample, collecting a user template ECG signal, detecting the location of R waves, intercepting QTwaves, generating sparse feature templates from the intercepted QT waves by using a differential dictionary learning algorithm for sparse representation, and then evaluating an optimal sparse featuretemplate, and searching an optimal threshold; the authentication link includes the following steps: generating sparse features by using the pre-processed ECG signal, and then performing preliminary authentication based on the optimal threshold, and completing the authentication based on maximum entropy voting; and if remote identity authentication is performed, the method also includes the step of compressing data and transmitting the data to a remote authentication unit before the preliminary authentication. The ECG signal based identity authentication method disclosed by the invention is particularly suitable for the application of real-time authentication of ECG identities in remote dynamic medical treatment, and solves the problem of efficient and real-time identity authentication.

The invention discloses a machine tool production abnormity alarm remote monitoring system based on NB-IOT. The system comprises a sensing layer, a platform layer, a server layer and an application layer, wherein the sensing layer comprises sensor equipment and transmission equipment, the sensor equipment forms a machine tool environment data source through a temperature and humidity sensor, a limiting sensor, a noise sensor and a smoke sensor; the transmission equipment forms an equipment automatic online data uploading module through an NB-IOT module and an MCU main control chip; the platform layer is an Internet of Things platform; the server layer comprises a database system and a remote monitoring system rear end; and the application layer is a remote monitoring system terminal. According to the invention, the sensing layer and the server layer are effectively combined, a solution is provided for the defects of short distance, high power consumption, unstable signals and the likecaused by a traditional remote monitoring wireless network communication mode, the development difficulty of connection between the traditional sensing layer and the server layer is reduced, and the timeliness, safety and reliability of real-time monitoring of the system are improved.

The invention provides a quick node replacement method for a large-scale cluster database. The method comprises the following steps of setting an unavailable state of a node; installing an installation program of a new node replacing the node, and performing new node and cluster configuration; setting a cluster mode to be read-only, and judging whether the execution of write operation is finished or not; after the execution of the write operation is finished, synchronizing metadata; and after the metadata synchronization is finished, recovering the cluster mode to be normal, setting a synchronous data flag for user data, and performing user data synchronization according to the synchronous data flag. According to the quick node replacement method for the large-scale cluster database, the data node replacement process is divided into two steps of metadata synchronization and user data synchronization; a user is prohibited to perform the write operation on the database during the metadata synchronization period, and the user is allowed to perform all database operations during the user data synchronization period; and the data volume of database metadata is not large in general, and the synchronization time is short, so that the time in which the user cannot perform the write operation on the database can be shortened to the maximum extent.

The present invention relates to an automatic test method, device and readable storage medium for frame synchronization, comprising the steps of: the client collects a key frame data packet of a game scene in the background, and the key frame data packet includes a key frame Hash value and a key frame operation data ; The client uploads the key frame data packet to the server; the test end downloads the key frame data packet from the server, and restores the game scene through the key frame operation data; the comparison Hash value of the key frame generated by the restored game scene will be compared Compare and verify the Hash value and the key frame Hash value; if the result of the comparison and verification is inconsistent, a prompt message is sent. This automated test method for frame synchronization key frame operation data restores the key frame of the game, calculates the Hash value, and compares the Hsah value with the downloaded key frame Hash value to determine whether there is a frame synchronization problem. The technical solution can quickly expose frame synchronization bugs, and the amount of data packets is not large, which will not cause an excessive burden on the system.

The invention belongs to the technical field of rapid measurement of battery impedance, and relates to an on-line measurement method for lithium-ion battery EIS low-frequency band based on ladder waves, which includes determining the appropriate number of steps and current amplitudes of the ladder waves based on the electrochemical reaction characteristics of the lithium-ion battery and actual needs. ; Apply a ladder wave current in a suitable frequency range to the lithium-ion battery, and perform sinusoidal fitting on the sampled ladder wave current and response voltage to obtain the required low-frequency impedance value, and then form the low-frequency electrochemical impedance spectrum of the lithium-ion battery. , that is, low-band EIS. The low-frequency EIS online measurement method can accurately reflect the low-frequency impedance information of lithium-ion batteries; it has the effects of high accuracy of low-frequency EIS test results of lithium-ion batteries, easy engineering implementation, etc., and provides effective technical support for rapid battery health assessment and safety warning .

The invention discloses an electrocardiogram (ECG) signal based identity authentication method, including a registration link and an authentication link, wherein the registration link includes the following steps: pre-storing a negative sample, pre-processing an ECG signal that is used as the negative sample, collecting a user template ECG signal, detecting the location of R waves, intercepting QTwaves, generating sparse feature templates from the intercepted QT waves by using a differential dictionary learning algorithm for sparse representation, and then evaluating an optimal sparse featuretemplate, and searching an optimal threshold; the authentication link includes the following steps: generating sparse features by using the pre-processed ECG signal, and then performing preliminary authentication based on the optimal threshold, and completing the authentication based on maximum entropy voting; and if remote identity authentication is performed, the method also includes the step of compressing data and transmitting the data to a remote authentication unit before the preliminary authentication. The ECG signal based identity authentication method disclosed by the invention is particularly suitable for the application of real-time authentication of ECG identities in remote dynamic medical treatment, and solves the problem of efficient and real-time identity authentication.

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 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.

The invention discloses a CO that considers multiple factors 2 The invention discloses a method for establishing a corrosion prediction chart, belonging to the technical field of corrosion protection of oil and gas fields. The method includes: first, at different temperatures, CO 2 Under the partial pressure and chloride ion concentration, the corrosion weight loss test of steel was carried out in a high temperature autoclave to obtain the measured value of the corrosion rate; then the nonlinear fitting method was used to establish the relationship between the corrosion rate and temperature, CO 2 The functional relationship and relationship curve of partial pressure and chloride ion concentration; finally, the measured value of corrosion rate, functional relationship and relationship curve obtained above are combined to draw CO 2 Corrosion prediction chart. This method takes into account a variety of factors for CO 2 The impact of corrosion has high prediction accuracy and practicability, which provides a reference for preventing corrosion failure of metal facilities in oilfields, and provides a technical guarantee for the safe use of materials.