9 results about "Data detection" patented technology

Various embodiments of the present invention provide systems and methods for data processing. For example, a variable iteration data processing system is disclosed that includes a first detector, a second detector, a decoder and a unified memory buffer. An input data set is received by the first detector that performs a data detection and provides a first detected data set. The decoder receives a derivative of the first detected data set and performs a decoding operation that yields a decoded data set. In some cases, the derivative of the first detected data set is an interleaved version of the first detected data set. The decoded data set is written to a unified memory buffer. The first decoded data set is retrievable from the unified memory buffer and a derivative thereof is provided to the second detector. In some cases, the derivative of the decoded is a de-interleaved version of the decoded data set. The second detector is operable to perform a data detection on the derivative of the decoded data set and to provide a second detected data set that is written to the unified memory buffer.

The invention provides a vehicle and a method for detecting geometric parameters of tracks. The vehicle and the method are used for detecting data of the grooved tracks. The vehicle and the method have the advantages that laser displacement sensors, acceleration sensors, gyroscope sensors and the like are arranged on the vehicle for detecting the geometric parameters of the tracks, errors in sampled data of the laser displacement sensors due to inclination of a vehicle body can be corrected by a processor, accordingly, corrected data can be obtained, and actual geometric parameter data of the tracks can be generated by the processor by the aid of the corrected data and detection data acquired by the gyroscope sensors and the acceleration sensors; the data of the grooved tracks can be detected by the aid of the vehicle and method for detecting the geometric parameters of the tracks, and the generated geometric parameter data are high in accuracy by means of error correction.

The invention provides an abnormal data detection method and device, and the method is applied to the technical field of data processing and comprises the steps of obtaining the to-be-processed data;clustering the to-be-processed data according to a clustering algorithm to obtain a cluster; pruning the cluster and determining an outlier score of each data point in the pruned cluster; and if the outlier score of a certain data point is higher than a preset threshold value, determining the data point as abnormal data. According to the abnormal data detection method and device provided by the invention, the abnormal value of the to-be-processed data can be accurately detected.

The invention discloses a method for confirming field rotation fallow, which comprises the following steps: acquiring basic land information; acquiring remote sensing images with high temporal resolution and high spatial resolution; performing image rectification, registration, mosaic and other processing of acquired image materials and remote sensing source data; extracting the parameters of cropNDVI, LAI were extracted from the results; combining the threshold value of index range to determine the best time phase of different crops; combined with the types of multi-crop, the selection of crop rotation and fallow mode was determined. The aims to ensure the accuracy of data detection, improve efficiency and ensure the accurate acquisition of farmland tillage patterns are achieved.

The invention relates to an encrypted traffic data detection method and system, an electronic device and a storage medium, and the method comprises the steps: obtaining encrypted traffic data, and dividing the encrypted traffic data into a plurality of data packets according to a time sequence; detecting preset feature information in the plurality of data packets by using a streaming computation module; taking each data packet and the time sequence feature corresponding to each data packet as first traffic data, inputting the first traffic data into a trained first traffic prediction model, obtaining first probability information corresponding to each data packet, and obtaining second probability information corresponding to each data packet; at least performing data processing on the first probability information and the second probability information to obtain final probability information, and determining a network intrusion behavior corresponding to the data packet according to the final probability information. Through application of the method and the device, the problem of low detection efficiency of the abnormal behavior in the traffic data in related technologies is solved, and the technical effect of improving the detection efficiency of the abnormal behavior in the traffic data is realized.

The invention provides an abnormal data detection method and device and a mechanical fault detection method and device, and belongs to the technical field of data processing. The abnormal data detection method comprises the steps of obtaining first training data; constructing a filter, and determining a coefficient of the filter by using the first training data; enabling the first training data topass through a filter to obtain second training data; constructing an anomaly detection model, training the anomaly detection model by using the second training data until the recognition effect of the anomaly detection model reaches the expectation, the input of the anomaly detection model being the second training data, wherein the output of the anomaly detection model is the difference featurevalue between the second training data and the reconstruction data, and the reconstructed data is obtained by reconstructing the second training data by the anomaly detection model; and inputting theto-be-detected data into the filter, and then inputting the to-be-detected data into the anomaly detection model to obtain abnormal data in the to-be-detected data. The method can improve the detection precision of abnormal data.

The invention discloses a detection function verification method and device, equipment and a medium, which are applied to LSC data detection equipment, and the method comprises the following steps: obtaining standard LSC data and sample LSC data by a target camera module; detecting the standard LSC data and the sample LSC data through LSC data detection equipment, and obtaining detection results; and determining whether the detection function of the LSC data detection equipment is normal or not according to the detection results. According to the method and the device, the standard LSC data with the correct sequence and the sample LSC data with the wrong sequence can be obtained through simulation on the premise of avoiding manufacturing wrong burning software and defective product modules; and the LSC data detection equipment is used for detecting the obtained standard LSC data and the sample LSC data to obtain the detection result, and whether the detection function of the LSC data detection equipment is normal or not can be determined according to the detection result, so that the verification cost of the detection equipment can be saved.