It is different to detect defect in multilayer structure of an aging aircraft fuselage, pulsed eddy current (PEC) technique has been demonstrated to be capable of quantifying this defect. Based on theoretical analysis of PEC technique, the array probe is designed and the array PEC imaging technique has been supposed to detect corrosion in the multilayer structure. By selecting peak amplitude an...

introduction automatic human emotion recognition is one of the most interesting topics in the field of affective computing. however, development of a reliable approach with a reasonable recognition rate is a challenging task. the main objective of the present study was to propose a robust method for discrimination of emotional responses thorough examination of heart rate variability (hrv). in t...

In this research, a probabilistic estimation compensation (PEC) method for fixed-width Booth multiplier is proposed. According to the probabilistic analysis for the truncation part,a formula is obtained to calculate the compensation value easily. In the application of long bit width, the PEC method is implemented by a simple compensation circuit without the exhaustive simulation to achieve a hi...

one of the most common signals used for achieving high range resolution in radar is stepped-frequency signals. when a target is stationary in these radars, dft (discrete fourier transform) based processing is used to attain high range resolution profile (hrrp). however, in the case of moving target, due to spreading of the echo signal spectrum, dft based processing is not optimal and decreases ...

Although traditional signal-based structural health monitoring algorithms have been successfully employed for small structures, their application for large and complex bridges has been challenging due to non-stationary signal characteristics with a high level of noise. In this paper, a promising damage detection algorithm is proposed by incorporation of adaptive signal processing and Artificial...

background: this paper proposes a new emotional stress assessment system using multi-modal bio-signals. electroencephalogram (eeg) is the reflection of brain activity and is widely used in clinical diagnosis and biomedical research. methods: we design an efficient acquisition protocol to acquire the eeg signals in five channels (fp1, fp2, t3, t4 and pz) and peripheral signals such as blood volu...

Highly sensitive DNA methyltransferase (MTase) activity and inhibitor screening photoelectrochemical (PEC) assay was developed based on the exciton energy transfer (EET) effect coupled with site-specific cleavage of restriction endonuclease (HpaII). The assay was designed by integrating the Au nanoparticles (NPs) labeled probe DNA (pDNA-Au) with CdSe quantum dots (QDs). The strong EET effect be...

Intelligent Autonomous systems (IAS) continuously receive large streams of diverse data from numerous entities operating and interacting in their environment. It is vital that the learning models in IAS to scale up to the new and unknown data items that were not present in the training or testing datasets. Scalable learning is nothing but a method to achieve maximum classification without rejec...