Search Results - "Huang, S N"

The mitochondrial type IB topoisomerase drives mitochondrial translation and carcinogenesis by Baechler, S. A., Factor, V. M., Dalla Rosa, I., Ravji, A., Becker, D., Khiati, S., Miller Jenkins, L. M., Lang, M., Sourbier, C., Michaels, S. A., Neckers, L. M., Zhang, H. L., Spinazzola, A., Huang, S. N., Marquardt, J. U., Pommier, Y.

“…Mitochondrial topoisomerase IB (TOP1MT) is a nuclear-encoded topoisomerase, exclusively localized to mitochondria, which resolves topological stress generated…”
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Robust adaptive numerical compensation for friction and force ripple in permanent-magnet linear motors by Tan, K.K., Huang, S.N., Lee, T.H.

“…This paper describes a robust adaptive compensation method for friction and force ripple present in the dynamics of permanent-magnet linear motors. The method…”
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Supercritical carbon dioxide extract exhibits enhanced antioxidant and anti-inflammatory activities of Physalis peruviana by Wu, S.J., Tsai, J.Y., Chang, S.P., Lin, D.L., Wang, S.S., Huang, S.N., Ng, L.T.

“…Physalis peruviana L. (PP) is a medicinal herb widely used in folk medicine. In this study, supercritical carbon dioxide (SFE-CO 2) method was employed to…”
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Nonlinear adaptive control of interconnected systems using neural networks by Huang, S.N., Tan, K.K., Lee, T.H.

“…In this letter, we solve the problem of decentralized adaptive asymptotic tracking for a class of large scale systems with significant nonlinearities and…”
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Tool wear detection and fault diagnosis based on cutting force monitoring by Huang, S.N., Tan, K.K., Wong, Y.S., de Silva, C.W., Goh, H.L., Tan, W.W.

“…In metal cutting processes, an effective monitoring system, which depends on a suitably developed scheme or set of algorithms can maintain machine tools in…”
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Functional significance of the Toll-like receptor 4 promoter gene polymorphisms in the Chinese Han population by Chen, Kehong, Wang, Yong-tang, Gu, Wei, Zeng, Ling, Jiang, Dong-po, Du, Ding-yuan, Hu, Ping, Duan, Zhao-xia, Liu, Qing, Huang, S N, Jiang, Jian-xin

“…OBJECTIVE:Toll-like receptor 4 is an important signaling receptor for lipopolysaccharide in mammals, and the variation of the promoter may affect the activity…”
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Decentralized control of a class of large-scale nonlinear systems using neural networks by Huang, S.N., Tan, K.K., Lee, T.H.

“…This paper designs a decentralized neural network (NN) controller for a class of nonlinear large-scale systems, in which strong interconnections are involved…”
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Automated Fault Detection and Diagnosis in Mechanical Systems by Huang, S.N., Tan, K.K., Lee, T.H.

“…In this work, a fault detection method is developed based on a neural network (NN) learning model. The robust observer is designed for monitoring fault,…”
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Adaptive motion control using neural network approximations by Huang, S.N., Tan, K.K., Lee, T.H.

“…In this paper, we present a new adaptive technique for tracking control of mechanical systems in the presence of friction and periodic disturbances. Radial…”
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Further result on a dynamic recurrent neural-network-based adaptive observer for a class of nonlinear systems by Huang, S.N., Tan, K.K., Lee, T.H.

“…In Kim et al. [(1997) A dynamic recurrent neural-network-based adaptive observer for a class of nonlinear systems. Automatica 33(8), 1539–1543], authors…”
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Geometrical Error Modeling and Compensation Using Neural Networks by Tan, K.K., Huang, S.N., Lim, S.Y., Leow, Y.P., Liaw, H.C.

“…This paper describes an approach based on neural networks (NNs) for geometrical error modeling and compensation for precision motion systems. A laser…”
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Prevalence and antimicrobial-resistance phenotypes and genotypes of Escherichia coli isolated from raw milk samples from mastitis cases in four regions of China by Yu, Z.N., Wang, J., Ho, H., Wang, Y.T., Huang, S.N., Han, R.W.

“…•Eighty-three E. coli strains were isolated from 750 mastitis milk samples.•No significant differences in E. coli numbers were observed between two seasons.•A…”
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Mechanisms of class I restricted immunopathology. A transgenic mouse model of fulminant hepatitis by ANDO, K, MORIYAMA, T, GUIDOTTI, L. G, WIRTH, S, SCHREIBER, R. D, SCHLICHT, H. J, SHAO-NAN HUANG, CHISARI, F. V

“…The molecular and cellular mechanisms responsible for cytotoxic T lymphocyte (CTL)-induced immunopathology are not well defined. Using a model in which…”
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Neural-network-based predictive learning control of ram velocity in injection molding by Huang, S.N., Tan, K.K., Lee, T.H.

“…In this paper, we develop a predictive learning controller for ram velocity of injection molding based on neural networks. We first introduce a model of…”
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Adaptive friction compensation using neural network approximations by Huang, S.N., Tan, K.K., Lee, T.H.

“…We present a new compensation technique for a friction model, which captures problematic friction effects such as Stribeck effects, hysteresis, stick-slip…”
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Protection of dopamine neurons by vibration training and up-regulation of brain-derived neurotrophic factor in a MPTP mouse model of Parkinson's disease by Zhao, L, He, L X, Huang, S N, Gong, L J, Li, L, Lv, Y Y, Qian, Z M

“…It is unknown whether the longer duration of vibration training (VT) has a beneficial effect on Parkinson's disease (PD). And also, the mechanisms underlying…”
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Combined PID and adaptive nonlinear control for servo mechanical systems by Tang, K.Z., Huang, S.N., Tan, K.K., Lee, T.H.

“…This paper presents a robust control method for servo mechanical systems, based on a mixed PID/adaptive algorithm. A second-order linear dominant model is…”
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Study of Nonlinear Wave Propagation Theory. 1. Dye Adsorption by Activated Carbon by Chern, Jia-Ming, Huang, Shi-Nian

“…The adsorption of red and yellow dyes by granular activated carbon from aqueous solution was studied. The Langmuir model, Freundlich model, and…”
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Autonomous cruise control using neural networks in platooning by Huang, S. N., Tan, K. K., Lee, T. H.

“…This paper presents a control algorithm for a platoon of vehicles. We employ the radial basis function neural networks (NNs) to approximate unknown vehicle…”
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Necessary and sufficient condition for convergence of iterative learning algorithm by Huang, S.N., Tan, K.K., Lee, T.H.

“…This correspondence is concerned with an iterative learning algorithm for MIMO linear time-varying systems. We provide a necessary and sufficient condition for…”
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