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A Fidelity-Embedded Regularization Method for Robust Electrical Impedance Tomography
Lee, Kyounghun,Woo, Eung Je,Seo, Jin Keun IEEE 2018 IEEE transactions on medical imaging Vol.37 No.9
<P>Electrical impedance tomography (EIT) provides functional images of an electrical conductivity distribution inside the human body. Since the 1980s, many potential clinical applications have arisen using inexpensive portable EIT devices. EIT acquires multiple trans-impedance measurements across the body from an array of surface electrodes around a chosen imaging slice. The conductivity image reconstruction from the measured data is a fundamentally ill-posed inverse problem notoriously vulnerable to measurement noise and artifacts. Most available methods invert the ill-conditioned sensitivity or the Jacobian matrix using a regularized least-squares data-fitting technique. Their performances rely on the regularization parameter, which controls the trade-off between fidelity and robustness. For clinical applications of EIT, it would be desirable to develop a method achieving consistent performance over various uncertain data, regardless of the choice of the regularization parameter. Based on the analysis of the structure of the Jacobian matrix, we propose a fidelity-embedded regularization (FER) method and a motion artifact reduction filter. Incorporating the Jacobian matrix in the regularization process, the new FER method with the motion artifact reduction filter offers stable reconstructions of high-fidelity images from noisy data by taking a very large regularization parameter value. The proposed method showed practical merits in experimental studies of chest EIT imaging.</P>
The Effectiveness of Capital Controls and Macroprudential Measures
JUNYONG LEE,KYOUNGHUN LEE,오동철 한국개발연구원 2023 KDI Journal of Economic Policy (KDI JEP) Vol.45 No.4
We review the literature on the effectiveness of capital controls and macroprudential measures. First, we explain the purposes and examples of capital controls and macroprudential policies. We then analyze various theoretical models and empirical findings from prior studies that investigate the effectiveness of each instrument. Moreover, we review several studies that directly compare the two instruments and discuss whether policymakers should implement capital controls or macroprudential measures to overcome financial crises. Finally, based on a discussion of the findings of previous studies, we suggest several possible avenues for future research.
RFID-based Supply Chain Process Mining for Imported Beef
Kang, Yong-Shin,Lee, Kyounghun,Lee, Yong-Han,Chung, Ku-Young Korean Society for Food Science of Animal Resource 2013 한국축산식품학회지 Vol.33 No.4
Through the development of efficient data collecting technologies like RFID, and inter-enterprise collaboration platforms such as web services, companies which participate in supply chains can acquire visibility over the whole supply chain, and can make decisions to optimize the overall supply chain networks and processes, based on the extracted knowledge from historical data collected by the visibility system. Although not currently active, the MeatWatch system has been developed, and is used in part for this purpose, in the imported beef distribution network in Korea. However, the imported beef distribution network is too complicated to analyze its various aspects using ordinary process analysis approaches. In this paper, we suggest a novel approach, called RFID-based supply chain process mining, to automatically discover and analyze the overall supply chain processes from the distributed RFID event data, without any prior knowledge. The proposed approach was implemented and validated, by using a case study of the imported beef distribution network in Korea. Specifically we demonstrated that the proposed approach can be successfully applied to discover supply chain networks from the distributed event data, to simplify the supply chain networks, and to analyze anomaly of the distribution networks. Such novel process mining functionalities can reinforce the capability of traceability services like MeatWatch in the future.