As a nondestructive, nonradioactive, and high temporal resolution technique, electrical impedance tomography (EIT) has potential applications in industrial biomedical imaging. A novel geometrically constrained boundary reconstructor (GCBR) is presented for EIT. It can directly calculate the of target inclusions embedded into homogeneous background conductivity robust to noise. The proposed GCBR depends on specially designed energy function, which consists residual term geometric constraints'...

Abstract Ultrasonic transmission tomography (UTT) is a crucial imaging modality for non-destructive testing and quality assessment in industrial settings. The reconstruction of high-quality images from limited, irregular, noisy measurement ultrasound measurements poses significant challenge due to the ill-posed nature inverse problem. Therefore, proposed method involves formulating UTT image problem into graph-based learning task. In this task, nodes symbolize locations on inspected object,...

A deep neural network is proposed for solving the dynamic image reconstruction problems in electrical impedance tomography (EIT), which can realize filtering, smoothing, and prediction of conductivity reconstruction. This framework includes a network, convolutional (CNN) encoder, recurrent (RNN) model, CNN decoder, thus termed by RCRC. The RCRC automatically learn prior spatial–temporal information from voltage-to-conductivity training dataset utilize it to enhance accuracy. Circular...

Abstract A novel soy‐based epoxy resin system was synthesized by the process of transesterification and epoxidation regular soy bean oil, which has potential to be widely usable in various composite manufacturing processes. Cure kinetics rheology are two chemical properties commonly required modeling. In this work, cure were measured means differential scanning calorimetry (DSC) viscometer. DSC used measure heat flow dynamic isothermal curing The models different formulations thus developed....

A shape-based statistical inversion method is proposed for Electrical Impedance Tomography (EIT) and Ultrasound Reflection (URT) dual-modality imaging. It promising to improve the imaging accuracy in inclusion detection problems. The image reconstruction based on shape framework. likelihood function derived from EIT URT forward models. prior distribution constructed using Markov random field (MRF) prior. measurement uncertainty modeled by conditional error model method. problem solved...

An image reconstruction method is proposed based on Lagrange-Newton for electrical impedance tomography (EIT) and ultrasound (UT) dual-modality imaging. Since the change in conductivity distribution usually accompanied with acoustic distribution, targets of EIT UT are unified to difference using same mesh model. Some background medium information obtained from transmission reflection measurements can be used construct a hard constraint about distribution. Then, EIT/UT inverse problem...

As a noninvasive and nonradiation imaging modality, ultrasonic transmission tomography (UTT) has gained much attention in process parameter detections, such as multiphase flow measurement combustion diagnosis. However, traditional static UTT image reconstruction methods suffer from the problems of smearing blurring when reconstructing time-varying parameters. To overcome this problem, nonstationary method is proposed based on Bayesian inversion framework, where inverse problem formulated...

In recent decades, process tomography has received widespread attentions in industrial multiphase flow monitoring. Traditional single-modality is usually sensitive to a specific physical parameter and widely used two-phase However, when the fluids are more than two phases, such as oil/gas/water three-phase flow, complexity of existence forms three brings challenge tomography. Multi-modality can obtain information, possessing unique advantages this paper, combinable multi-modality system...

Polymer matrix composites using renewable resources are currently of great interest. A novel soy-based resin system for pultrusion was synthesized at University Missouri-Rolla (UMR). Due to relatively low reactivity and short curing time pultrusion, it is important set up the process parameters properly in order obtain a high quality pultruded product. In present work, combination experimental numerical methods used investigate effect variables on cure composites. mathematical model has been...

The free-interface detection problem is normally seen in industrial or biological processes. Electrical impedance tomography (EIT) a non-invasive technique with advantages of high-speed and low cost, promising solution for problems. However, due to the ill-posed nonlinear characteristics, spatial resolution EIT low. To deal issue, an ultrasound guided proposed directly reconstruct geometric configuration target free-interface. In method, position central point interface measured by pair...

Poisson disk sampling is an important problem in computer graphics and has a wide variety of applications imaging, geometry, rendering, etc. In this paper, we propose novel algorithm based on packing. The key idea uses the observation that relatively dense packing layout naturally satisfies distribution property each point no closer to others than specified minimum distance, i.e., radius. We use relaxation achieves good balance between random uniform properties needed for distributions. Our...

Abstract The monitoring of multiphase flow distribution in industrial processes order to optimize production presents a challenge. Electrical resistance tomography (ERT) is technique used visualize the inner flow. Image reconstruction plays vital role ERT. However, nonlinearity and ill-posedness inverse problems make image ERT difficult. development advanced imaging algorithms has attracted much interest for this purpose. In work, an improved U-shaped deep learning model proposed, which...

As a non-invasive and radiation-free imaging modality, electrical impedance tomography (EIT) has attracted much attention in the field of industrial measurement. However, image reconstruction with EIT is non-linear ill-posed inverse problem, causing it to suffer from low spatial resolution high noise sensitivity. To overcome this point-constrained framework proposed guide inclusion boundary ultrasound point detection. The problem formulized an energy minimization approach. function consists...

A dynamic imaging method using electrical/ ultrasonic dual-modality tomography is proposed to reconstruct the time-varying distribution based on Bayesian inversion framework. The problems of electrical resistance (ERT) and transmission (UTT) are constructed a state-space model, formulating with state evolution observation update equations. solved by Kalman filter, accelerated spatial dimensionality reduction method. smoother used post-process filter results improve quality. logistic...

Electrical capacitance tomography (ECT) and electrical resistance (ERT) are promising techniques for multiphase flow imaging due to high-speed, low-cost, non-invasive visualization features. At present, ECT/ERT dual-mode is generally accomplished by the combination of ECT ERT sensors implemented through different electrodes arrays, with separate systems collect projection data, their sensing principles. To expand range ERT, a over wide frequency band based on dual-frequency response proposed...

Malware detection is an important topic in cyber security. The research presented this paper mainly studies on disassembly codes of Windows executable files, learns from the route bioinformatics and proposes concept software gene. A distance-based method also proposed to measure difference genes dimensionality reduction based a modified clustering algorithm biological phylogenetic model. Finally gene-inspired malware detector constructed using Random Forest gene extraction more flexible...

Multiphase distributions are common in industrial processes, such as the gas/oil/water three-phase flow, where visualization of three media is great significance for state monitoring and fault prediction production processes. Industrial process tomography possesses unique advantages non-invasive, non-radiation, low-cost multiphase distribution imaging, attracting more attention. Due to complexity physical parameters media, traditional single-modality technology usually difficult reconstruct...

The ultrasound/electrical dual-modality tomography utilizes the complementarity of ultrasound reflection (URT) and electrical impedance (EIT) to improve speed accuracy image reconstruction. Due its advantages no-invasive, no-radiation low-cost, has attracted much attention in field imaging many potential applications industrial biomedical imaging. However, data fusion URT EIT is difficult due their different theoretical foundations measurement principles. most commonly used strategy...

Electrical Impedance Tomography (EIT) and Ultrasound Transmission (UTT) are widely used in industrial process detection medical diagnosis. EIT has a higher sensitivity near the edge of sensitive domain, while UTT center domain. Based on point, high accuracy image reconstruction is feasible by fusing together. In paper, an adaptive local-weighted algorithm was proposed to solve EIT/UTT dual-modality imaging problem. method, segmentation introduced obtain high-contrast images, local weighted...