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Author

Rui Yang

Bio: Rui Yang is an academic researcher from Xi'an Jiaotong-Liverpool University. The author has contributed to research in topics: Computer science & Fault (power engineering). The author has an hindex of 11, co-authored 50 publications receiving 527 citations. Previous affiliations of Rui Yang include National University of Singapore & Shandong University of Science and Technology.


Papers
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Journal ArticleDOI
TL;DR: Four main methods of transfer learning are described and their practical applications in EEG signal analysis in recent years are explored.

184 citations

Journal ArticleDOI
TL;DR: In this article, the number of SPT terms allocated to a coefficient is determined by the statistical quantization step-size of that coefficient and the sensitivity of the frequency response of the filter to that coefficient.
Abstract: It is well known that if each coefficient value of a digital filter is a sum of signed power-of-two (SPT) terms, the filter can be implemented without using multipliers. In the past decade, several methods have been developed for the design of filters whose coefficient values are sums of SPT terms. Most of these methods are for the design of filters where all the coefficient values have the same number of SPT terms. It has also been demonstrated recently that significant advantage can be achieved if the coefficient values are allocated with different number of SPT terms while keeping the total number of SPT terms for the filter fixed. In this paper, we present a new method for allocating the number of SPT terms to each coefficient value. In our method, the number of SPT terms allocated to a coefficient is determined by the statistical quantization step-size of that coefficient and the sensitivity of the frequency response of the filter to that coefficient. After the assignment of the SPT terms, an integer-programming algorithm is used to optimize the coefficient values. Our technique yields excellent results but does not guarantee optimum assignment of SPT terms. Nevertheless, for any particular assignment of SPT terms, the result obtained is optimum with respect to that assignment.

145 citations

Journal ArticleDOI
TL;DR: This study used short time fourier transform (STFT) to transform the residual signal of different sensor faults to the corresponding time-frequency map and a convolutional neural network was used to extract the feature of the map and the fault diagnosis of the UAV sensors was implemented.

84 citations

Journal ArticleDOI
TL;DR: A novel method for the synthesis of very sharp half-band filter using the frequency response masking technique is introduced.
Abstract: An important property of a half-band filter is that half of its coefficient values are trivial. This yields significant advantage in terms of its computational complexity. Nevertheless, the complexity of a half-band filter is still very high if its transition-width is very narrow. In this letter, we introduce a novel method for the synthesis of very sharp half-band filter using the frequency response masking technique. >

65 citations

Journal ArticleDOI
TL;DR: The experiment results illustrate that the proposed method can provide more accurate results than both single encoder measurement and existing sensor fusion methods including ordinary RBF neural network and Kalman filter based multi-sensor approach.

65 citations


Cited by
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Journal ArticleDOI
TL;DR: A review and roadmap to systematically cover the development of IFD following the progress of machine learning theories and offer a future perspective is presented.

1,173 citations

Journal ArticleDOI
TL;DR: In this paper, the authors give an overview on the current state of the art of multiple material AM technologies and their practical applications, and the advantages and disadvantages of each process, recent progress, challenging technological obstacles, the possible strategies to overcome these barriers, and future trends are also discussed.
Abstract: Interest in multifunctional structures made automatically from multiple materials poses a challenge for today's additive manufacturing (AM) technologies; however the ability to process multiple materials is a fundamental advantage to some AM technologies. The capability to fabricate multiple material parts can improve AM technologies by either optimising the mechanical properties of the parts or providing additional functions to the final parts. The objective of this paper is to give an overview on the current state of the art of multiple material AM technologies and their practical applications. In this paper, multiple material AM processes have been classified and the principles of the key processes have been reviewed comprehensively. The advantages and disadvantages of each process, recent progress, challenging technological obstacles, the possible strategies to overcome these barriers, and future trends are also discussed.

423 citations

Journal ArticleDOI
TL;DR: This paper provides a review on NN mechanism, types, models, and classifiers that use different algorithms to process hyperspectral data, and introduces NN techniques for rapid development of SDI.

237 citations

Journal ArticleDOI
TL;DR: The problem foundation of manipulator control and the theoretical ideas on using neural network to solve this problem are analyzed and then the latest progresses on this topic in recent years are described and reviewed in detail.

209 citations

Journal ArticleDOI
TL;DR: The fabrication process development and adaptation of microfluidic devices for the creation of an in vitro pharmacokinetic model for drug screening and toxicology, and characterization of 3D tissue constructs with predictable cell viability/proliferation outcomes and enhanced functionality over traditional culture methods are detailed.
Abstract: A novel targeted application of tissue engineering is the development of an in vitro pharmacokinetic model for drug screening and toxicology. An in vitro pharmacokinetic model is needed to realistically and reliably predict in vivo human response to drug administrations and potential toxic exposures. This paper details the fabrication process development and adaptation of microfluidic devices for the creation of such a physiologically relevant pharmacokinetic model. First, an automated syringe-based, layered direct cell writing (DCW) bioprinting process creates a 3D microorgan that biomimics the cell's natural microenvironment with enhanced functionality. Next, soft lithographic micropatterning techniques are used to fabricate a microscale in vitro device to house the 3D microorgan. This paper demonstrates the feasibility of the DCW process for freeform biofabrication of 3D cell-encapsulated hydrogel-based tissue constructs with defined reproducible patterns, direct integration of 3D constructs onto a microfluidic device for continuous perfusion drug flow, and characterization of 3D tissue constructs with predictable cell viability/proliferation outcomes and enhanced functionality over traditional culture methods.

195 citations