39results about How to "Accurate Classification and Identification" patented technology

The invention discloses a sorting identifying method of molecular search list for insect, which is characterized by the following: confirming general purposed probe and atopic probe to make gene chip;crossing insect DNA and gene chip; affirming the classifying position of insect according to preprogrammed molecular search list of crossing result.

The invention relates to a BiLSTM-based composite feature optical fiber sensing disturbance signal pattern recognition method, comprising the following steps: collecting different modes of vibration signals including optical fiber sensing disturbance signals and storing data, and adding type labels; time domain Feature extraction unit: Calculate the short-term energy and short-term over-level rate of the collected vibration signal, set the short-term energy and short-term over-level rate threshold, and preliminarily determine the intrusion disturbance signal according to the discrimination conditions; frequency domain feature extraction unit: Perform 4-layer wavelet packet decomposition on each vibration signal, solve the energy spectrum distribution of 16 sub-bands, concatenate short-term energy and short-term over-level rate to form a composite eigenvector, and normalize it. The normalized eigenvector is used as Input the feature vector; build a bidirectional LSTM network model, use the normalized feature vector as the input, and the event label as the classification output result, use the test sample to train the classifier, and realize the pattern recognition of the fiber sensor disturbance signal.

The invention belongs to the technical field of biomedical signal processing and analysis, and provides a mental fatigue critical point calibration method based on self-organized criticality, using the dynamic characteristics of the brain network to construct a self-organized critical model, and performing avalanche dynamics deduction of mental fatigue, which conforms to fatigue Internal mechanism of complexity evolution, calibrated critical state is dynamically stable and robust. Through the verification of behavioral data, the reliability of the critical state of mental fatigue determined from the two dimensions of physiology and behavior is higher, which can provide support for guiding the setting of fatigue category labels to complete more accurate classification and identification.

The invention discloses a block chain-based two-dimensional code-changing and re-OCDMA system including: a block chain, which is used to classify the QoS requirements of user signals, obtain the final category value of the QoS requirements, and send the user signals every short period of time. The final category value of the QoS requirements and the data to be sent are recorded in the next block in the form of a hash value, and the hash value of the previous block is also recorded at the same time; the interface is used to receive the data sent by the blockchain Into the two-dimensional code-changing re-OCDMA system; the two-dimensional code-changing re-OCDMA system is used to perform differentiated QoS encoding and decoding transmission of user data in the OCDMA system according to user QoS requirements. The invention proposes to use the block chain to determine the category value of the user's QoS requirement, which can well ensure the security of the user information and prevent it from being tampered with. The implementation of the two-dimensional code-changing and re-OCDMA system can meet the QoS requirements of different users to achieve flexible and diverse services, and the system is flexible and economical. The system can be used for elastic optical networks that flexibly schedule services.