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Your search keyword '"Tan, F"' showing total 73 results
Start Over Author "Tan, F" Publisher elsevier bv
73 results on '"Tan, F"'

9. MA07.07 Detecting Stage I Lung Cancer with High Sensitivity Using Genome-wide Multi-dimensional Fragmentomic Profiles of Cell Free DNA

Author

Guo, W., primary, Liang, N., additional, Ma, Q., additional, Chen, X., additional, Liu, R., additional, Wu, S., additional, Bao, H., additional, Wu, X., additional, Shao, Y., additional, Qiu, B., additional, Wang, D., additional, Tan, F., additional, Gao, Y., additional, Xue, Q., additional, and Gao, S., additional

Published
2021
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12. Nanoscale Modification of Magnetic Properties for Effective Domain Wall Pinning

Author

Jin, T., Tan, F., Law, W. C., Gan, W., Soldatov, I., Schäfer, R., Ma, C., Liu, X., Lew, W. S., Piramanayagam, S. N., Jin, T., Tan, F., Law, W. C., Gan, W., Soldatov, I., Schäfer, R., Ma, C., Liu, X., Lew, W. S., and Piramanayagam, S. N.

Abstract

Magnetic domain wall memory technology, wherein the information is stored in magnetic domains of multiple magnetic nanowires, is a potential concept proposed to store the large amount of digital data in the near future, which is generated due to the widespread use of social media and computing devices. However, one of the technological challenges which remains to be solved in domain wall memory is the controllable pinning of the domain walls at the nanometer scale. Here, we demonstrate the possibility to stabilize domain walls with nanoscale modification of magnetic properties by using thermal diffusion of elements from crossbar configuration. We have inspected and evaluated the magnetic properties of the nanowires using Kerr microscopy. The pinning field induced by Cr diffusion of our Ni80Fe20 nanowire was estimated to be about 8 kA/m as determined from minor loop (magnetoresistance vs. magnetic field) measurements. The proposed concept can potentially be used in future domain wall memory applications. © 2018 Elsevier B.V.

Published
2019

15. Portable and integrated solar-driven desalination system using membrane distillation for arid remote areas in Saudi Arabia

Author

Mansour N. Al-Otaibi, Tan F. Lai, Choo Fook Hoong, Manoharan Prabu, Saeed M. Al-Zahrani, and Achmad Chafidz

Subjects
Engineering, Waste management, business.industry, Mechanical Engineering, General Chemical Engineering, Photovoltaic system, General Chemistry, Geothermal desalination, Membrane distillation, Solar energy, Desalination, Renewable energy, law.invention, law, ComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMS, General Materials Science, Solar desalination, business, Water Science and Technology, Heat pump
Abstract

We have developed an integrated solar-driven desalination system that uses membrane distillation process to produce potable water. The system encompasses the sources of both water and energy. The system is an integrated (self-contained) system that utilizes solar energy for its operation by combining solar photovoltaic (PV) and solar thermal collectors. The system is intended for autonomous operation in arid remote areas of Saudi Arabia where electricity and potable water are not readily available. Due to its portability, the system can be used in emergency situations in which potable water is essential for survival, such as natural disasters. The system has three major components: the solar-thermal system, solar-PV system, and membrane distillation system. A well-characterized memsys Vacuum Multi-Effect Membrane Distillation (V-MEMD) module was used as the core of the system. In addition, a heat pump was integrated into the system to improve the performance of the system. The novelty of the system is the engineered design of a portable and efficient integrated system that is reliable and easy to maintain. The system could be referred to as an environmentally friendly and sustainable desalination technology. The paper describes the design, configuration, and performance of the solar-driven desalination system.

Published
2014

24. OA03.08 Activity of Ensartinib after Second Generation Anaplastic Lymphoma Kinase (ALK) Tyrosine Kinase Inhibitors (TKI)

Author

Horn, L., primary, Leal, T.A., additional, Oxnard, G., additional, Wakelee, H., additional, Blumenschein, G.R., additional, Waqar, S., additional, Gandhi, L., additional, Chiappori, A.A., additional, Dukart, G., additional, Harrow, K., additional, Liang, C., additional, Tan, F., additional, Gockerman, J.P., additional, and Reckamp, K., additional

Published
2017
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28. Optimization of generalized mean square error in signal processing and communication

Author

William W. Hager, Tan F. Wong, and Yong Liu

Subjects
Optimization, Trace (linear algebra), Optimization problem, Determinant, Wireless communication, 010103 numerical & computational mathematics, 02 engineering and technology, Generalized permutation matrix, Permutation matrix, 01 natural sciences, MIMO systems, Combinatorics, Permutation, MSE, 0202 electrical engineering, electronic engineering, information engineering, Applied mathematics, Discrete Mathematics and Combinatorics, 0101 mathematics, Eigenvalues and eigenvectors, Mathematics, Numerical Analysis, Algebra and Number Theory, Capacity, Partial permutation, Bit-reversal permutation, Mean square error, 020206 networking & telecommunications, Geometry and Topology, Trace
Abstract

Two matrix optimization problems are analyzed. These problems arise in signal processing and communication. In the first problem, the trace of the mean square error matrix is minimized, subject to a power constraint. The solution is the training sequence, which yields the best estimate of a communication channel. The solution is expressed in terms of the eigenvalues and eigenvectors of correlation and covariance matrices describing the communication, and an unknown permutation. Our analysis exhibits the optimal permutation when the power is either very large or very small. Based on the structure of the optimal permutation in these limiting cases, we propose a small class of permutations to focus on when computing the optimal permutation for arbitrary power. In numerical experiments, with randomly generated matrices, the optimal solution is contained in the proposed permutation class with high probability. The second problem is connected with the optimization of the sum capacity of a communication channel. The second problem, which is obtained from the first by replacing the trace operator in the objective function by the determinant, minimizes the product of eigenvalues, while the first problem minimizes the sum of eigenvalues. For small values of the power, both problems have the same solution. As the power increases, the solutions are different, since the permutation matrix appearing in the solution of the trace problem is not present in the solution of the determinant problem. For large power, the ordering of the eigenvectors in the solution of the trace problem is the opposite of the ordering in the determinant problem.

Published
2006
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29. Nonparametric log spectrum estimation using disconnected regression splines and genetic algorithms

Author

Thomas C. M. Lee and Tan F. Wong

Subjects
Mathematical optimization, Multivariate adaptive regression splines, Model selection, Nonparametric statistics, Spectral density estimation, Statistical model, Regression analysis, Density estimation, Control and Systems Engineering, Signal Processing, Kernel smoother, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Algorithm, Software, Mathematics
Abstract

This article proposes a new nonparametric procedure for estimating log spectra. This procedure consists of three major components: (1) a novel statistical model for modelling the unknown target log spectrum, (2) an AIC-based model selection criterion for choosing a 'best' fitting model, and (3) a genetic algorithm for effectively searching the 'best' fitting model. Numerical experiments are conducted to evaluate and compare the practical performance of the proposed procedure with some other common log spectral estimation procedures appearing in the literature. These other procedures include wavelet techniques, kernel smoothing and regression spline fitting. Empirical results suggest that the proposed procedure compares favourably against all these procedures, especially when the unknown log spectrum contains inhomogeneous structures.

Published
2003

30. First-line icotinib versus cisplatine/pemetrexed plus pemetrexed maintenance therapy in lung adenocarcinoma patients with EGFR mutation (CONVINCE)

Author

Shi, Y.-K., primary, Wang, L., additional, Han, B., additional, Li, W., additional, Yu, P., additional, Liu, Y., additional, Ding, C., additional, Song, X., additional, Ma, Z., additional, Ren, X., additional, Feng, J., additional, Zhang, H., additional, Chen, G., additional, Wu, N., additional, Han, X., additional, Yao, C., additional, Song, Y., additional, Zhang, S., additional, Ding, L., additional, and Tan, F., additional

Published
2016
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49. A Comparison of Simultaneously Integrated Boost using Intensity-modulated Radiation Therapy and Conventional Radiation Therapy in the Setting of Concomitant Carboplatin and 5-Fluorouracil for Locally Advanced Oropharyngeal Carcinoma

Author

Clavel, S., primary, Nguyen, D.H.A., additional, Fortin, B., additional, Després, P., additional, Donath, D., additional, Coulombe, G., additional, Soulières, D., additional, Charpentier, D., additional, Guertin, L., additional, and Nguyen-Tan, F., additional

Published
2009
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