Detection of the tagged or untagged photons in acousto-optic imaging of thick highly scattering media by photorefractive adaptive holography We propose an original adaptive wavefront holographic setup based on the photorefractive effect (PR), to make real-time measurements of acousto-optic signals in thick scattering media, with a high flux collection at high rates for breast tumor detection. W...

unknown noise and artifacts present in medical signals with  non-linear fuzzy filter will be estimate and then removed. an adaptive neuro-fuzzy interference system which has a nonlinear  structure presented  for the noise function prediction by before samples. this paper is about a neuro-fuzzy method to estimate unknown noise of electrocardiogram (ecg) signal. adaptive neural combined with fuzz...

Energy sense of adaptive double threshold joint spectrum perception algorithm using multiple cognitive, and after double threshold for comprehensive judgment, and threshold value with the discretion of the signal to noise ratio (SNR) adaptive adjustment, will eventually each SU decision data fusion center for spectrum using the information, make perception performance effectively improve. In th...

concrete bridge deck damage detection by measurement and monitoring variables related to vibration signatures is one of the main tasks of any bridge health monitoring system (bhms). generally damage puts some detectable/discoverable signs in the parameters of bridge vibration behavior. however, differences between frequency and mode shape before and after damage are not remarkable as vibration ...

Time-frequency analysis is commonly used for fault detection in induction motors. A variety of signal decomposition techniques have been proposed the literature, such as Wavelet transform, Empirical Mode Decomposition (EMD), Multiple Signal Classification (MUSIC), among others. They successfully many works related with topic. Nevertheless, studied signals present amplitude changes and chirp-typ...

intrusion detection in wireless networks has been a challenging researchproblem in network security for more than half a century. this paper presents anovel intrusion detection method based on received signal strength acceptancetest (rssat) to improve the ids capabilities in anomaly-based host-basedintrusion detection systems (hids). the new system can identify suspiciousbehaviors detecting ano...

Premature combustion that affects outputs, thermal efficiencies and lifetimes of internal combustion engine is called “knock effect”. However knock signal detection based on acoustic sensor is a challenging task due to existing of noise in the same frequency spectrum. Experimental results revealed that vibration signals, generated from knock, has certain frequencies related to vibration resonan...