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629 results on '"Tan, C.-K."'

2. A Prepaid Energy Billing System with Credit Shortage Forecasting

Author

Abdul Ghani, M. F. F., Mohd Yusoff, M. A. F., Wong, H. L., Yip, S. C., Tan, C. K., Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Alfred, Rayner, editor, and Lim, Yuto, editor

Published
2022
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4. P579 Dietary beliefs, barriers, and acceptability of diet in IBD patients – a multi-centre survey from the Asia-Pacific region

Author

Tay, S, primary, Chan, P W W, additional, Wei, S C, additional, Tan, M, additional, Hilmi, I N, additional, Leong, J W H, additional, Tan, Y Y, additional, Lim, C T, additional, Ling, K L, additional, Tey, T T, additional, Tan, C K, additional, Leong, R W L, additional, Lim, W C, additional, Hartono, J L, additional, Shim, H H, additional, Ong, D, additional, Ooi, C J, additional, and Salazar, E, additional

Published
2024
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11. An investigation on the diagnostics and prognostic capabilities of acoustic emission (AE) on a spur gearbox

Author

Tan, C. K., Irving, Phil E., and Mba, David

Subjects
629.2
Abstract

The aim of this research project is to explore a new technique, Acoustic Emission (AE), on both the diagnostic and prognostic capabilities in monitoring gear teeth degradation (pitting), and compare with the more widely used techniques such as vibration monitoring and Spectrometric Oil Analysis (SOA). Furthermore, by employing the experimental results and past literature, a model in predicting the amount of gear surface pitting wear using AE activity level was proposed. The successful forinulation of this proposed model may be able to predict the remaining life of the gear after pitting has been detected, thereby allowing timely replacement to be carried out without the risk of catastrophic failure. A series of experimental tests which include seeded defect simulations, study on the effect of operating parameters over AE (under isothermal conditions), AE source determination tests and accelerated gear fatigue tests have been performed to investigate the diagnostics and prognostics capabilities of AE via a back-to-back gearbox set up. The experimental results achieved have highlighted some significant findings: (a) The variation in rotating speeds, change the AE levels in a much significant amount as compared to the same variation in applied load. (b) The prime source of AE was postulated to be asperity contact under rolling and sliding of the meshing gear teeth surfaces. (c) AE technique has a far better degradation (pitting) monitoring capability compared to vibration and SOA techniques. These findings have made a vast contribution in condition monitoring of gearbox using AE technique and the proposed model has also offered opportunity to make AE a potentially viable and effective tool in diagnosis and prognosis of gearbox or even other rotating machinery defects.

Published
2005

12. P711 Decreased steroid exposure and disease-related hospitalizations in patients with newly diagnosed inflammatory bowel disease in the era of newer biologic agents – A multi-centre experience in Singapore

Author

Yeo, G D D, primary, Qui, M, additional, Pak, W C W, additional, Tan, C K, additional, Tay, S W, additional, Lim, C T T, additional, Tan, T K M, additional, Ong, W C, additional, Lim, T G, additional, Ng, Y T V, additional, Wong, S Y A, additional, and Salazar, E, additional

Published
2023
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32. qFIBS: An Automated Technique for Quantitative Evaluation of Fibrosis, Inflammation, Ballooning, and Steatosis in Patients With Nonalcoholic Steatohepatitis

Author

Liu, F. Goh, G.B.-B. Tiniakos, D. Wee, A. Leow, W.-Q. Zhao, J.-M. Rao, H.-Y. Wang, X.-X. Wang, Q. Wan, W.-K. Lim, K.-H. Romero-Gomez, M. Petta, S. Bugianesi, E. Tan, C.-K. Harrison, S.A. Anstee, Q.M. Chang, P.-E.J. Wei, L.

Abstract

Background and Aims: Nonalcoholic steatohepatitis (NASH) is a common cause of chronic liver disease. Clinical trials use the NASH Clinical Research Network (CRN) system for semiquantitative histological assessment of disease severity. Interobserver variability may hamper histological assessment, and diagnostic consensus is not always achieved. We evaluate a second harmonic generation/two-photon excitation fluorescence (SHG/TPEF) imaging-based tool to provide an automated quantitative assessment of histological features pertinent to NASH. Approach and Results: Images were acquired by SHG/TPEF from 219 nonalcoholic fatty liver disease (NAFLD)/NASH liver biopsy samples from seven centers in Asia and Europe. These were used to develop and validate qFIBS, a computational algorithm that quantifies key histological features of NASH. qFIBS was developed based on in silico analysis of selected signature parameters for four cardinal histopathological features, that is, fibrosis (qFibrosis), inflammation (qInflammation), hepatocyte ballooning (qBallooning), and steatosis (qSteatosis), treating each as a continuous rather than categorical variable. Automated qFIBS analysis outputs showed strong correlation with each respective component of the NASH CRN scoring (P

Published
2020

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