3results about How to "Eliminate performance impact" patented technology

The application is specifically a network security identification method and system based on multi-modal fusion features, relates to the technical field of network security, and comprises: a flow reorganization and sequence extraction module, a multi-dimensional entropy feature calculation module, a phase space reconstruction and trajectory analysis module, and a topological geometry judgment module.In the application, the adjustable parameter Renyi entropy can accurately capture the content confusion degree difference of different types of encrypted traffic, the box dimension fractal dimension quantifies the self-similarity of the traffic, and the maximum Lyapunov index is combined to realize accurate mining of time sequence chaotic characteristics; and the flow reorganization and sequence extraction module supports multiple network access modes, adapts to different bandwidth scenes, and rearranges out-of-order packets to guarantee data authenticity.

The application provides a high-speed high-precision analog-digital converter and a performance improvement method of the analog-digital converter, the analog-digital converter comprises an input configuration module, an analog-digital conversion module, an adaptive parameter extraction module and a whole cycle data recovery module, in a parameter extraction working mode, the modified parameters are extracted through the cooperation among the input configuration module, the analog-digital conversion module, the adaptive parameter extraction module and the whole cycle data recovery module; in a normal working mode, the digital calibration and correction of the digital signal are realized through the analog-digital conversion module and the modified parameters, the modified parameters comprise a jitter correction parameter, a gain correction parameter and a mismatch error correction parameter, the signal-to-noise ratio and the linearity of the analog-digital converter are improved, the influence of the performance of the analog-digital converter caused by the smaller and smaller intrinsic gain and the larger and larger mismatch error with the reduction of the process size is avoided, the injected random jitter is completely eliminated, and the influence of the signal-to-noise ratio of the analog-digital converter caused by the injected random jitter is avoided.

The invention relates to the technical field of distributed artificial intelligence and collaborative perception, and discloses an intelligent perception and decision-making system for distributed multi-modal data fusion, which comprises the following steps: acquiring multi-field real-time data streams in a live broadcast process, aligning the multi-field real-time data streams according to a unified time granularity, and storing the aligned data streams in a sliding window buffer area; carrying out abnormal point detection on the deviation degree sequence of each field by applying an accumulation and detection algorithm, and outputting abnormal alarm information when the accumulation deviation exceeds a dynamic threshold value; outputting the type pre-judgment of the current exception in the field of triggering the exception alarm; when a trend type abnormal event is detected, calculating the occurrence probability and urgency degree of each downstream event, and generating early warning information and intervention suggestions; according to the invention, the pre-judgment from the current domain exception to the future associated domain event is realized. The problem of pre-judgment lag caused by single-field detection is solved, and a time window is won for operation intervention.