In this paper, we propose a new methodology for crack detection and monitoring in concrete structures. This approach is based on multiresolution analysis of sample or specimen material subjected to several types solicitation. The image obtained by ultrasonic investigation processed customized wavelet analyzed at various scales order detect internal cracks initiation. ultimate objective work an automatic type identification scheme convolutional neural networks (CNN). context, propagation can...

Segmentation of brain tumor images, to refine the detection and understanding abnormal masses in brain, is an important research topic medical imaging. This paper proposes a new segmentation method, consisting three main steps, detect lesions using magnetic resonance imaging (MRI). In first step, parts image delineating skull bone are removed, exclude insignificant data. second which contribution this study, particle swarm optimization (PSO) technique applied, block that contains lesions....

In this paper, we propose a new methodology for crack monitoring in concrete structures. This approach is based on n cracks multi-resolution analysis of sample or specimen the studied material subjected to several types solicitation. The image obtained by ultrasonic investigation and processing dedicated wavelet will be analyzed according scales order detect internal initiation. ultimate goal work an automatic type identification scheme convolutional neural networks (CNN). context,...

This paper proposes an efficient methodology to monitor the formation of cracks in concrete after non-destructive ultrasonic testing a structure. The objective is be able automatically detect initiation early enough, i.e. well before they are visible on surface, order implement adequate maintenance actions civil engineering structures. key element this original approach wavelet-based multiresolution analysis signal received from sample or specimen studied material subjected several types...

Magnetic Resonance Imaging is a powerful technique that helps in the diagnosis of various medical conditions. MRI Image pre-processing followed by detection brain abnormalities, such as tumors, are considered this work. These images often corrupted noise from sources. The Discrete Wavelet Transforms (DWT) with details thresholding used for efficient removal edge and threshold segmentation denoised images. Segmented image features then extracted using morphological operations. finally to...

This paper is concerned with the stability and stabilization problem of a Takagi-Sugeno fuzzy (TSF) system. Using non-quadratic function (well-known integral Lyapunov candidate (ILF)) some lemmas, new sufficient conditions are established as linear matrix inequalities (LMIs), which solved stochastic fractal search (SFS). The main advantage technique used its small conservatives. Motivated by mean value theorem, state feedback controller based on designed. Unlike other approaches...

Application of a multivariable polynomial matrix model to the structural and parametric identification C-type pulverized fuel mill feeding furnace coal-fired power station is presented in this paper. Normal operating records are used relation between boiler master pressure, taken as output, primary air differential coal feeder speed, which were inputs, identified using model. Multi-Input Single Output (MISO) models fitted three parameter estimation algorithms correlation-based validity...

This article proposes two optimal controllers that stabilize the altitude, attitude, heading, and position of quadcopter in space. The first control method consists computing proportional controller gain by minimizing error between measured desired feature vector values, as opposed to classical visual servoing (VS) scheme requires a known value which is often chosen empirically. second relies on tuning PD gains applied loops. This, however, may lead convergence problem, overcome use an...

<title>Abstract</title> Renewable energy systems have replaced that use fossil fuels in many applications different regions of the world. This is seen increasing solar and wind as two most important sources for producing environment-friendly economically convenient electrical energy. The fluctuating unstable nature renewable makes this type complex to exploit, related research has therefore mainly focused on Control optimization. work proposes an optimized configuration hybrid designed a...

This paper introduces a decoupled unknown input observer (DUIO) for Takagi-Sugeno (T-S) systems, designed specifically the synchronous reluctance motor (SynRM). The proposed DUIO method demonstrates enhanced robustness and accuracy in state estimation by effectively decoupling influence of inputs from error dynamics. Furthermore, exhibits superior performance compared to proportional integral (PIO) multi-integral (PMIO) presented previous studies, without need prior knowledge form or...

In many Engineering applications, analog circuits present advantages over their digital counterparts and have recently been particularly used in a wide range of signal processor circuits. this paper, an non-linear function synthesizer is presented based on polynomial expansion model. The proposed model 10th order approximation any the required functions. approximations these functions can then be implemented using basic CMOS circuit blocks. simultaneously synthesize generate different...

Due to the dramatic growth in use of Wireless Sensor Network (WSN) applications ranging from environment and habitat monitoring tracking surveillance, network research WSN protocols has been very active last decade. With battery-powered sensors operating unattended environments, energy conservation becomes key technique for improving lifetimes. Medium Access Control (MAC) address awareness reduced duty cycles. The focus this study is investigate, through simulation, effect variations various...

The effect of a finite-distance signal source on the performance an Applebaum array has been studied extensively in literature. It concluded that unless is focused at exact location, degradation output signal-to-noise ratio (SNR) becomes unacceptable. automatic focusing technique (AFT), developed for long-wavelength imaging systems using nonadaptive linear arrays, extended here to focus adaptive arrays such as type. Thereafter, far-field steering vector used successfully form beam...