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112results about How to "Solve the high false alarm rate" patented technology

Intrusion detection in communication networks

An intrusion detection arrangement (101) for communication networks comprising a network activity observer (102) configured to monitor network traffic by the related traffic elements, such as data packets, thereof and to establish traffic profiles relative to the monitored traffic elements, such as one profile per each monitored traffic element, a misuse detector (104) configured to determine a first indication of a probability of the profiled traffic representing malicious activity through co-operation with a model repository (106) comprising at least one model characterizing a known intrusion attack, an anomaly detector (108) configured to determine, at least logically in parallel with the misuse detector, a second indication of a probability of the profiled traffic representing anomalous activity through cooperation with a model repository (110) comprising at least one model characterizing legitimate network activity, and a classifier (112) configured to operate on said first and second indications to generate a classification decision on the nature of the profiled traffic, wherein the applied classification space includes at least one class for legitimate traffic and at least one other class for other traffic such as malicious and / or anomalous traffic. A corresponding method is presented.
Owner:BIN 2022 SERIES 822 OF ALLIED SECURITY TRUST I

Failure prediction method facing to numerically-controlled machine tool

The invention relates to the fault diagnosis and forecast filed, in particular to a failure prediction method facing to a numerically-controlled machine tool. The failure prediction method comprises the following steps of adopting a hierarchical-type hierarchical structure model to divide the numerically-controlled machine tool to be a plurality of core subsystems and analyze typical gradual failures; reducing a data set of sensor parameters to obtain a data set of failure foreboding parameters and relative relevance degree between the parameters and the failures; using a failure occurrence point to serve as a limit, diving each failure foreboding parameter historical data set according to time series, and corresponding to failure foreboding state series; adopting wavelet analysis technology to extract failure foreboding feature vectors of the data in different time intervals, conducting counter propagation neural network training, and obtaining a failure foreboding judgment model of each parameter; and adopting a dynamic confidence coefficient matching algorithm to monitor an accumulated confidence coefficient of each failure foreboding parameter on line, fusing state dynamic matching results of each failure foreboding parameter, and forecasting probability and time of failure occurrence. The failure prediction method has the advantages of high forecast accuracy, small forecast time difference, low false alarm rate, strong robustness, wide application prospect and the like.
Owner:SHENYANG GOLDING NC & INTELLIGENCE TECH CO LTD

Lightning monitoring and early warning method and system

The invention relates to a lightning monitoring and early warning method and system. The method comprises the steps of S1, detecting atmosphere average electric fields, optical radiation signals, electric field changing signals, magnetic field changing signals and GPS satellite signals of an area to be monitored and conducting signal conditioning and conversion, S2, judging whether the electric field changing amount meets preset triggering conditions or not according to the electric field changing signals, conducting signal collection and storage and executing the step S3 if the electric field changing amount meets the preset triggering conditions, and refreshing and awaiting if the electric field changing amount does not meet the preset triggering conditions, S3, conducting waveform characteristic extraction on the collected optical radiation signals, the collected electric field changing signals and the collected magnetic field changing signals, conducting cloud-to-ground lightning identification and location according to extracted characteristic parameters, and meanwhile storing and displaying the position of lightning in a geographic information system, the lightning time and waveforms of the optical radiation signals, the electric field changing signals and the magnetic field changing signals in the lightning process, and S4, generating early warning results according to cloud-to-ground lightning identification and location results and atmosphere average electric field amplitudes, and giving an warning signal according to the early warning results.
Owner:CHINESE ACAD OF METEOROLOGICAL SCI
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