Electrical capacitance tomography digital processing platform (ECT-DPU)

Allam, Atef; Deabes, Wael

doi:10.1109/iecon.2016.7793297

Cited by 6 publications

(8 citation statements)

References 17 publications

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“…Differences between the calculated and the actual measurements are multiplied by S T to calculate pixels errors 4. The difference between the previous image and the pixel errors represents the new image (5) The termination is reached when the difference in step 3 reaches a certain acceptable value.…”

Section: G = S T C ð4þmentioning

confidence: 99%

“…The core of the image reconstruction algorithm module (IR-alg) is a matrix processing realizing the three iLBP algorithm steps in Equation (5). Memory and buffering blocks required to store the input measured the electrode capacitance, the constant sensitivity matrix, and the computed The main DPU controller (DPU-C) is the interface to the external LCD and the wireless base station peripherals connected to the ECT-DPU system.…”

Section: Systemmentioning

confidence: 99%

“…The ECT system consists of three main components, capacitance sensors, data acquisition unit, and ECT digital processing unit (ECT-DPU) as shown in Figure 1 [4]. Measured capacitance data are sent wirelessly to a base station attached to ECT-DPU where an image reconstruction algorithm is imple-mented to produce an image describing the material distribution inside the imaging area [5,6].…”

Section: Introductionmentioning

confidence: 99%

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Model-Based Hardware-Software Codesign of ECT Digital Processing Unit

Allam

Deabes

2021

Modelling and Simulation in Engineering

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Image reconstruction algorithm and its controller constitute the main modules of the electrical capacitance tomography (ECT) system; in order to achieve the trade-off between the attainable performance and the flexibility of the image reconstruction and control design of the ECT system, hardware-software codesign of a digital processing unit (DPU) targeting FPGA system-on-chip (SoC) is presented. Design and implementation of software and hardware components of the ECT-DPU and their integration and verification based on the model-based design (MBD) paradigm are proposed. The inner-product of large vectors constitutes the core of the majority of these ECT image reconstruction algorithms. Full parallel implementation of large vector multiplication on FPGA consumes a huge number of resources and incurs long combinational path delay. The proposed MBD of the ECT-DPU tackles this problem by crafting a parametric segmented parallel inner-product architecture so as to work as the shared hardware core unit for the parallel matrix multiplication in the image reconstruction and control of the ECT system. This allowed the parameterized core unit to be configured at system-level to tackle large matrices with the segment length working as a design degree of freedom. It allows the trade-off between performance and resource usage and determines the level of computation parallelism. Using MBD with the proposed segmented architecture, the system design can be flexibly tailored to the designer specifications to fulfill the required performance while meeting the resources constraint. In the linear-back projection image reconstruction algorithm, the segmentation scheme has exhibited high resource saving of 43% and 71% for a small degradation in a frame rate of 3% and 14%, respectively.

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Section: G = S T C ð4þmentioning

confidence: 99%

Section: Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Model-Based Hardware-Software Codesign of ECT Digital Processing Unit

Allam

Deabes

2021

Modelling and Simulation in Engineering

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“…These disadvantages of the X-ray tomography drived manufacturers to look for a novel feasible technology that can capture the flow of the molten metal during the casting process. Recently, because of the advantages of the ECT system compared with the inferred and X-ray technologies, the LFC process implements the ECT system for imaging the metal during the casting process [25].…”

Section: Lost Foam Casting (Lfc)mentioning

confidence: 99%

Application of Electrical Capacitance Tomography for Imaging Conductive Materials in Industrial Processes

et al. 2019

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This paper presents highly robust, novel approaches to solving the forward and inverse problems of an Electrical Capacitance Tomography (ECT) system for imaging conductive materials. ECT is one of the standard tomography techniques for industrial imaging. An ECT technique is nonintrusive and rapid and requires a low burden cost. However, the ECT system still suffers from a soft-field problem which adversely affects the quality of the reconstructed images. Although many image reconstruction algorithms have been developed, still the generated images are inaccurate and poor. In this work, the Capacitance Artificial Neural Network (CANN) system is presented as a solver for the forward problem to calculate the estimated capacitance measurements. Moreover, the Metal Filled Fuzzy System (MFFS) is proposed as a solver for the inverse problem to construct the metal images. To assess the proposed approaches, we conducted extensive experiments on image metal distributions in the lost foam casting (LFC) process to light the reliability of the system and its efficiency. The experimental results showed that the system is sensible and superior.

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“…The hardware component comprises of sensors and data control system. Signal reconstruction system and the display and interpretation facilities are the software component used in the system for imaging and data processing [3].…”

Section: Introductionmentioning

confidence: 99%

Planar Imaging of Stagnant and Hydrodynamic Fluid using Miniaturized ECT Device

Leow

2018

IJIE

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Electrical capacitance tomography digital processing platform (ECT-DPU)

Cited by 6 publications

References 17 publications

Model-Based Hardware-Software Codesign of ECT Digital Processing Unit

Model-Based Hardware-Software Codesign of ECT Digital Processing Unit

Application of Electrical Capacitance Tomography for Imaging Conductive Materials in Industrial Processes

Planar Imaging of Stagnant and Hydrodynamic Fluid using Miniaturized ECT Device

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