3 results about "Capture effect" patented technology

The invention relates to an apparatus (Rx) for increasing an integrity of signals (S) in a signaling network, each signal comprising a sequence of one or more signal elements. The apparatus comprises an identification unit configured to identify any injection (I) of signal elements into a received signal based on at least one of a) a signal element magnitude variation, b) an inversion of a permutation operation applied to the received signal upon transmission, c) a signal fingerprint, d) a location of the transmitter, and e) an AI / ML, Artificial Intelligence / Machine Learning, model. This allows for a reliable identification of injections of signal elements that are due to the capture effect. In particular, not only overshadow attacks, but also undershadow attacks or other injection attacks can be identified. By processing the received signals based on any identified injections of signal elements, the integrity of signals in the network can be increased.

The invention discloses a method for realizing signal acquisition and self-adaptive tracking based on a phased array, which is particularly suitable for a communication system, realizes accurate acquisition and real-time tracking of signals through wide and narrow beam conversion, and mainly comprises three parts of wide beam scanning, wide and narrow beam accurate acquisition and self-adaptive tracking. The phased-array antenna firstly performs preliminary signal scanning in a wide-beam mode to quickly cover a large-range area so as to capture potential target signals, and once the target signals are captured, the phased-array antenna is switched to a narrow-beam mode so as to improve the signal capture precision and the signal-to-noise ratio. Meanwhile, in the capturing process, the beam direction and shape of the phased-array antenna are adjusted in real time, target signals are continuously tracked, and the capturing effect is optimized. According to the invention, the practical problems of low signal acquisition precision, poor tracking real-time performance, easy interruption of a communication link and the like in a complex communication scene are solved.

This application relates to a method and system for detecting defects in steel-concrete composite pipes based on time-frequency domain audio signals. The method acquires time-series audio data from the surface of the steel-concrete composite pipe using an acoustic sensor array. Then, it extracts time-domain fused audio features and frequency-domain fused audio features from the audio time-series data. Based on a time-domain feature processing model, it performs dual feature analysis on the time-domain fused audio features, and also on the frequency-domain fused audio features using a frequency-domain feature processing model, capturing more defect features from the audio feature maps in different domains. Furthermore, the feature processing model is composed of multiple cascaded convolutional long short-term memory networks, enabling layer-by-layer feature extraction of audio signals and improving robustness to long-sequence signals. The time-frequency domain features extracted by the feature processing model are fused based on an attention module, and feature attention enhancement is applied to improve the expressive power of the features, enhance the defect feature capture effect, and improve the accuracy of defect detection.