The patterns of ultrasonic backscattered echoes represent valuable information pertaining to the geometric shape, size, and orientation reflectors as well microstructure propagation path. Accurate estimation echo pattern is essential in determining object/propagation path properties. In this study, we model terms superimposed Gaussian corrupted by noise. Each a nonlinear function set parameters: bandwidth, arrival time, center frequency, amplitude, phase. These parameters are sensitive shape...

In ultrasonic imaging systems, the patterns of detected echoes correspond to shape, size, and orientation reflectors physical properties propagation path. However, these often are overlapped due closely spaced and/or microstructure scattering. The decomposition is a major challenging problem. Therefore, signal modeling parameter estimation nonstationary critical for image analysis, target detection, object recognition. this paper, successive algorithm based on chirplet transform presented....

Accurate estimation of the ultrasonic echo pattern leading to physical property object is desirable for NDE (nondestructive evaluation) applications. In Part I this study, we have presented a generalized parametric model, composed number Gaussian echoes corrupted by noise, and algorithms accurately estimating parameters. II explore merits model-based method in This produces high resolution accurate estimates parameters, i.e., time flight (TOF) amplitude, center frequency, bandwidth, phase....

A model for the grain signal is presented, which includes effect of frequency-dependent scattering and attenuation. This predicts that expected frequency increases with decreases Homomorphic processing was used spectral smoothing, selection parameters optimal performance examined. Experimental results are presented show both upward shift in boundary downward Furthermore, it shown can be correlated size material. It important to point out quantitative relationship between average (either or...

In this paper, we present a system using an Android smartphone that collects, displays sensor data on the screen and streams to central server simultaneously. Bluetooth wireless Internet connections are used for transmissions among devices. Also, Near Field Communication (NFC) technology, have constructed more efficient convenient mechanism achieve automatic connection application execution. This is beneficial body networks (BSN) developed medical healthcare applications. For demonstration...

The integration of artificial intelligence into daily life significantly enhances the autonomy and quality visually impaired individuals. This paper introduces Visual Impairment Spatial Awareness (VISA) system, designed to holistically assist users in indoor activities through a structured, multi-level approach. At foundational level, system employs augmented reality (AR) markers for positioning, neural networks advanced object detection tracking, depth information precise localization....

This paper presents the development and evaluation of a distributed system employing low-latency embedded field-programmable gate arrays (FPGAs) to optimize scheduling for deep learning (DL) workloads configure multiple accelerator (DLA) architectures. Aimed at advancing FPGA applications in real-time edge computing, this study focuses on achieving optimal latency computing system. A novel methodology was adopted, using configurable hardware examine clusters DLAs, varying architecture...

Grain size characterization using ultrasonic backscattered signals is an important problem in nondestructive testing of materials. In this paper, a heuristic model which relates the statistical characteristics measured signal to mean wavelet and attenuation coefficient different regions sample investigated. The losses are examined temporal averaging, correlation, probability distribution functions segmented data. Furthermore, homomorphic processing used novel application estimate (as it...

Ultrasonic detection and characterization of targets concealed by scattering noise is remarkably challenging. In this study, a neural network (NN) coupled to split-spectrum processing (SSP) examined for target echo visibility enhancement using experimental measurements with input signal-to-noise ratio around 0 dB. The SSP-NN system trainable consequently capable improving the target-to-clutter an average 40 proposed exceptionally robust outperforms conventional techniques such as minimum,...

This paper provides efficient and robust algorithms for real-time face detection recognition in complex backgrounds. The are implemented using a series of signal processing methods including Ada Boost, cascade classifier, Local Binary Pattern (LBP), Haar-like feature, facial image pre-processing Principal Component Analysis (PCA). Boost algorithm is classifier to train the eye detectors with accuracy. LBP descriptor utilized extract features fast detection. reduces false rate. detected then...

Ultrasonic imaging in medical and industrial applications often requires a large amount of data collection. Consequently, it is desirable to use compression techniques reduce facilitate the analysis remote access ultrasonic information. The precise representation paramount accurate shape, size, orientation reflectors, as well determination properties propagation path. In this study, successive parameter estimation algorithm based on modified version continuous wavelet transform (CWT)...

In this paper, we present the system architecture and design flow for remote user physiological data movement detection using wearable sensor fusion. Our utilizes an Android smartphone to integrate process multiple body enhance reliability health diagnosis. Various such as temperature, current geographical location, electrocardiography, posture fall are collected concurrent Bluetooth connections smartphone. application software is designed handle real-time analysis of determine status,...

With the advancements in computer vision technology, learning and using sign languages to communicate with deaf mute people has become easier. Exciting research is ongoing for providing a global platform communication different languages. In this paper, we present Deep Learning based approach recognize performed American Sign Language by capturing an image as input. The system can predict signs of 0 9 digits user. By utilizing processing convert RGB data grayscale images, efficient reduction...

Systemic vulnerabilities in the Internet of Things (IoT) pose a challenge for establishing robust cybersecurity strategies. These challenges leave IoT devices susceptible to infection, often falling victim far-reaching Botnets. To counter these risks, Intrusion Detection Systems (IDS) are designed detect attacks within network, mitigating dangers presented by architecturally vulnerable devices. However, IDS solutions operate at center requiring network traffic be forwarded inwards and...

Split-spectrum processing of broadband ultrasonic signals coupled with order statistic filtering has proven to be effective in improving the flaw-to-clutter ratio backscattered signals. It is shown that an optimal rank can obtained a prior knowledge and underlying distributions. The filter performs well where flaw clutter echoes have good statistical separation given quantile region representing particular (e.g. minimum, median, maximum). Order filters are analyzed for situation which...

When testing materials nondestructively with ultrasound, the grain scattering signal provides information that may be correlated to regional microstructure variation. Second and third-order autoregressive (AR) models are used evaluate spectral shift in signals by utilizing features such as resonating frequency, maximum energy or AR coefficients. Then, Euclidean distance, based on these features, is applied classify characteristics. Using both computer simulated data experimental results,...

Insonification of the microstructure materials results in a backscattered signal consisting multiple interfering echoes with random amplitudes and phases. Information pertaining to grain scattering cross section size distribution is an inherent property signal. A statistical model signals developed that describes spatial time averaged data, their relationship attenuation caused by absorption. Both temporal averaging permits estimation coefficient, which has been found be position dependent....

A real-time moment analysis was applied to multibreath nitrogen-washout dynamics of the lung. Because accounts for breathing pattern variations, subjects could perform washout with spontaneous breathing. The digital processing nitrogen and flow signals incorporates filtering, delay compensation, corrections effects gas composition temperature changes. In our study, evaluated 37 subjects: 6 normal nonsmokers, 4 “normal” smokers, asthmatics, 12 diffuse interstitial disease, 9 chronic...

Kinect is a recent technology used for motion detection and human body tracking designed video game console. In this study, we explore two different types of 3D image reconstruction methods to achieve new method faster higher quality images. Generating depth perception information using high stereo textures computationally heavy inefficient. On the other hand, can be obtained very fast but overall not refined it low resolution. Thus, in study combination images on webcam computation order...

In this paper, an improved fixed-point hardware design of QR decomposition, specifically optimized for Xilinx FPGAs is introduced. A Givens Rotation algorithm implemented by using a folded systolic array and the CORDIC algorithm, making very suitable high-speed or ASIC designs. We improve internal cell structure so that system can run at 246MHz with nearly 24M updates per second throughout on Virtex5 FPGA. The matrix size be easily scaled up.