Ziqiang Cui

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Electrical impedance tomography (EIT) is a technique for reconstructing the conductivity distribution by injecting currents at the boundary of a subject and measuring the resulting changes in voltage. Image reconstruction in EIT is a nonlinear and ill-posed inverse problem. The Tikhonov method with L(2) regularization is always used to solve the EIT(More)
—Two-phase flow measurement has attracted a major interest in the past four decades due to its wide range of applications in industry. This paper introduces a new method to separate the gas phase from the liquid phase through a blind source separation algorithm, without a separate device, based on the assumption that the two phases are separated and their(More)
Image reconstruction in electrical capacitance tomography requires a solution of an ill-posed inverse problem. This paper applies an accelerated proximal gradient (APG) singular value thresholding algorithm, which is originally proposed for the matrix completion problem, to image two-phase flow. Aiming to improve the image quality, a nuclear norm-based(More)
In air/oil lubrication systems, the flow parameters, e.g., flow pattern, liquid film thickness, and air/oil flow rate, are of great importance to the transportation efficiency. In most cases, the ongoing two-phase flow is annular flow with the oil moving along the tube wall and the air travelling at high speed in the center. This usually results in the(More)
One main goal of CSCW is to achieve efficient communication, collaboration and coordination of group activity. The present conceptual models are insufficient in their flexibility, support for concurrent and asynchronous transactions, or applicable extension in CSCW systems. This paper proposes a new conceptual mode, namely AAM, which is based on anonymous(More)
Electrical impedance tomography (EIT) calculates the internal conductivity distribution within a body using electrical contact measurements. The image reconstruction for EIT is an inverse problem, which is both non-linear and ill-posed. The traditional regularization method cannot avoid introducing negative values in the solution. The negativity of the(More)
Image quality assessment (IQA) evaluates the quality of an image by computing the difference between the reference and distorted images. This paper proposes an image quality metric (IQM) that uses the motif scan. Since edges often contain much information on an image and the human visual system is highly adapted for extracting structural information from a(More)
The algorithm is applied to the field of hand gesture recognition by Referencing the Bag of Feature (BoF) algorithm in the field of target recognition and image retrieval. First of all, this paper uses the HSV skin color adaptive method to segment the gesture's information from body and uses SURF algorithm to extract the feature of the image. After feature(More)
Electrical impedance tomography (EIT) aims to estimate the electrical properties at the interior of an object from current-voltage measurements on its boundary. It has been widely investigated due to its advantages of low cost, non-radiation, non-invasiveness, and high speed. Image reconstruction of EIT is a nonlinear and ill-posed inverse problem.(More)