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De-noising of radiation pressure signal generated by bubble oscillation based on ensemble empirical mode decomposition

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Journal of Hydrodynamics 2022年第5期34卷 849-863页

作者： xiang-hao Zheng Yu-ning Zhang Key Laboratory of Power Station Energy Transfer Conversion and System(Ministry of Education) School of EnergyPower and Mechanical EngineeringNorth China Electric Power UniversityBeijing102206China

The radiation pressure signals generated by the bubble oscillation are often utilized to recognize the characteristics of the target objects in many ***,these signals are easily contaminated by complex background *** order to accurately extract the effective components of the radiation pressure signal generated by the bubble oscillation,this paper proposes a de-noising procedure for the radiation pressure signal,based on the ensemble empirical mode decomposition(EEMD),the autocorrelation function and the modified wavelet soft-threshold de-noising *** order to verify the effectiveness of the procedure,the typical radiation pressure signal generated based on the Keller-Miksis model under the acoustic excitation is employed for the subsequent de-noising *** results of the qualitative analysis show that the amplitude and the period of the bubble oscillation can be clearly observed in the time-domain diagram of the de-noised signal based on the *** the quantitative analysis,the de-noised signal based on the EEMD has better performance with higher signal-to-noise ratio(SNR),smaller root-mean-square error,and larger correlation coefficient than that based on the wavelet transform(WT)and the empirical mode decomposition(EMD).Furthermore,with the increase of the complexity of the radiation pressure signal(e.g.,the increase of the dimensionless pressure amplitude of the acoustic wave and the decrease of the SNR of the input signal),the above three evaluation indexes of the de-noised signal based on the EEMD are all better than those based on the other two *** the signal is more complex,the de-noising capabilities of the WT,the EMD are greatly reduced,but the EEMD can still maintain the good de-noising capability,which shows the superiority of the signal de-noising procedure proposed in the present paper.

关键词： Radiation pressure cavitation bubble oscillation signal de-noising ensemble empirical mode decomposition(EEMD) autocorrelation function wavelet soft-threshold de-noising

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Electro-selective interconversion of living cationic and radical polymerizations

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Science China Chemistry 2019年第8期62卷 1023-1029页

作者： Jiannan Zhu xiang hao Qiang Yan State Key Laboratory of Molecular Engineering of Polymers Fudan University

Orchestrating conflicting polymerization mechanisms in a single polymerization process through one external stimulus is a prerequisite to achieve in-situ selective synthesis of different monomers. Here we report an electrochemically controlled mechanism transformation that enables selective activation of living cationic or radical polymerization via an alternating voltage and dual electrocatalysts. Using identical mixed-monomer condition, a variety of desired block copolymer structures, including diblock, multiblock, random, and tapered copolymers can be obtained by simply varying the periods or phases of the alternating potential. Moreover, merging this electro-interconverted polymerization with a flow-chemistry technique can streamline preparation of functional polymer materials with complex multiblock structure. This study would offer a new vision on large-scale electrochemical synthesis of sequence-defined polymers.

关键词： electrochemistry living polymerization mechanism interconversion radical cation

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Spectral imaging with deep learning

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Light(Science & Applications) 2022年第6期11卷 1040-1058页

作者： Longqian Huang Ruichen Luo Xu Liu xiang hao State Key Laboratory of Modern Optical Instrumentation College of Optical Science and TechnologyZhejiang UniversityHangzhou 310027China College of Computer Science and Technology Zhejiang UniversityHangzhou 310027China Jiaxing Key Laboratory of Photonic Sensing&Intelligent Imaging Jiaxing 314000China Intelligent Optics&Photonics Research Center Jiaxing Research Institute Zhejiang UniversityJiaxing 314000China

The goal of spectral imaging is to capture the spectral signature of a *** scanning method for spectral imaging suffers from large system volume and low image acquisition speed for large *** contrast,computational spectral imaging methods have resorted to computation power for reduced system volume,but still endure long computation time for iterative spectral ***,deep learning techniques are introduced into computational spectral imaging,witnessing fast reconstruction speed,great reconstruction quality,and the potential to drastically reduce the system *** this article,we review state-of-the-art deep-learning-empowered computational spectral imaging *** are further divided into amplitude-coded,phase-coded,and wavelength-coded methods,based on different light properties used for *** boost future researches,we've also organized publicly available spectral datasets.

关键词： resort signature boost

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Optimizing the Perceptual Quality of Time-Domain Speech Enhancement with Reinforcement Learning

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Tsinghua Science and Technology 2022年第6期27卷 939-947页

作者： xiang hao Chenglin Xu Lei Xie Haizhou Li School of Computer Science Northwestern Polytechnical UniversityXi'an 710000China Department of Electrical and Computer Engineering National University of SingaporeSingapore 710129Singapore

In neural speech enhancement,a mismatch exists between the training objective,i.e.,Mean-Square Error(MSE),and perceptual quality evaluation metrics,i.e.,perceptual evaluation of speech quality and short-time objective *** propose a novel reinforcement learning algorithm and network architecture,which incorporate a non-differentiable perceptual quality evaluation metric into the objective function using a dynamic filter *** the traditional dynamic filter implementation that directly generates a convolution kernel,we use a filter generation agent to predict the probability density function of a multivariate Gaussian distribution,from which we sample the convolution *** results show that the proposed reinforcement learning method clearly improves the perceptual quality over other supervised learning methods with the MSE objective function.

关键词： speech enhancement neural networks dynamic filter reinforcement learning

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Canonical Quantum Teleportation of Two-Particle Arbitrary State

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Communications in Theoretical Physics 2005年第2X期44卷 353-355页

作者： hao xiang ZHU Shi-Qun School of Physical Science and Technology Suzhou University Suzhou 215006 China

The canonical quantum teleportation of two-particle arbitrary state is realized by means of phase operator and number operator. The maximally entangled eigenstates between the difference of phase operators and the sum of number operators are considered as the quantum channels. In contrast to the standard quantum teleportation, the different unitary local operation of canonical teleportation can be simplified by a general expression.

关键词： canonical teleportation phase operator number operator general expression

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Multipartite Entanglement of a Tetrahedron Lattice

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Communications in Theoretical Physics 2006年第5X期46卷 863-872页

作者： ZHANG Rong ZHU Shi-Qun hao xiang School of Physical Science and Technology Suzhou University Suzhou 215006 China

Three-dimensional Heisenberg model in the form of a tetrahedron lattice is investigated. The concurrence and multipartite entanglement are calculated through 2-concurrence C and 4-concurrence C4. The concurrence C and multipartite entanglement G4 depend on different coupling strengths Ji and are decreased when the temperature T is increased. For a symmetric tetrahedron lattice, the concurrence C is symmetric about J1 when J~ is negative while the multipartite entanglement G4 is symmetric about J1 when J2 〈 2. For a regular tetrahedron lattice, the concurrence G of ground state is 1/3 for ferromagnetic case while G = 0 for antiferromagnetic ***. However, there is no multipartitc entanglement since C4=0 in a regular tetrahedron lattice. The external magnetic field 13 can increase the maximum value of the concurrence GB and induce two or three peaks in Cn. There is a peak in the multipartite entanglement G4 B when G4B is varied as a function of the temperature T. This peak is mainly induced by the magnetic field B.

关键词： multipartite entanglement concurrence three dimensions tetrahedron lattice

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Characterization of heat shock protein 90, 70 and their transcriptional expression patterns on high temperature in adult of Graphofita molesta （Busck）

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Insect Science 2014年第4期21卷 439-448页

作者： hao Chen xiang-Li Xu Yi-Ping Li Jun-xiang Wu Key Laboratory of Plant Protection Resources and Pest Management (Northwest A&F University) Ministry of Education Key Laboratoryof Appfied Entomology Northwest A&F University Yangling Shaanxi China

Grapholita molesta （Busck） is a worldwide insect pest damaging stone and pome fruits. High temperature can significantly affect insect survival, development and fecundity. Heat shock protein （Hsp） genes were speculated to possess a pivotal function in response to high temperature stress. In this study, two full-length Hsp genes, Gmhsp90 and GmhspTO, were cloned from G. molesta using rapid amplification of complementary DNA ends （RACE）. The open reading frames of Gmhsp90 and Gmhsp70 obtained were 2 148 bp and 1 998 bp in length, respectively. Their deduced amino acids showed high homology to Hsp genes of other species. Subsequently, the transcriptional expression of Gmhsp90 and Gmhsp70 in G. molesta adults exposed at various temperatures （26, 29, 32, 35, 38, 41 and 44℃） for 1 h and at 41℃ for various time duration （0, 15, 30, 45, 60, 75, 90 and 105 min） were investigated via real time quantitative polymerase chain reaction （qPCR）. The relative expression levels of Gmhsp90 and Gmhsp70 in G. molesta adults were both up-regulated with the rise of temperature and time duration. In addition, the Gmhsp70 usually showed a higher transcription accumulation than Gmhsp90. Interestingly, Gmhsp90 and Gmhsp 70 in female adults could be induced much earlier than that in males, and the effective induction temperature in females was also lower than that in males. The distinct expression profiles of Gmhsp90 and Gmhsp 70 indicated that Gmhsp90 and Gmhsp 70 may play important roles in G. molesta adults responding to a thermal threat, and there is difference on induction between sexes.

关键词： Grapholita molesta heat shock protein high temperature sex difference

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Average Fidelity of Teleportation in Quantum Noise Channel

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Communications in Theoretical Physics 2006年第5期45卷 802-806页

作者： hao xiang ZHANG Rong ZHU Shi-Qun School of Physical Science and Technology Suzhou University Suzhou 215006 China

The effects of amplitude damping in quantum noise channels on average fidelity of quantum teleportation are analyzed in Bloeh sphere representation for every stage of teleportation. When the quantum channels are varied from maximally entangled states to non-maximally entangled states, it is found that the effects of noise channels on the fidelity are nearly equivalent to each other for strong quantum noise. The degree of damage on the fidelity of non-maximally entangled channels is smaller than that of maximally entangled channels. The average fidelity of values larger than 2/3 may be one representation indirectly showing how much the unavoidable quantum noise is.

关键词： average fidelity teleportation quantum noise channel Bloch sphere

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HALONICKEL 2,4-DI-t-BUTYL-6-(QUINOLIN-8-YLIMINOMETHYL)PHENOLATES:SYNTHESIS,CHARACTERIZATION AND ETHYLENE REACTIVITY

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Chinese Journal of Polymer Science 2013年第5期31卷 769-777页

作者： Qi-song Shi xiang hao Carl Redshaw 孙文华 College of Materials Science and Engineering Beijing Institute of Petrochemical Technology Key Laboratory of Engineering Plastics and Beijing National Laboratory for Molecular Sciences Institute of ChemistryChinese Academy of Sciences Department of Chemistry University of Hull

A series of nickel halides bearing 2,4-di-t-butyl-6-（quinolin-8-yliminomethyl） phenolate ligands was synthesized and characterized by IR spectroscopy and elemental analysis. Molecular structures of C1 （R = H, X = Br） and C2 （R = H, X = C1） were further confirmed by single-crystal X-ray crystallographic studies, and revealed a distorted square planar geometry at nickel. Upon activation with diethylaluminum chloride （Et2AlCl）, all nickel pre-catalysts displayed good catalytic activity [up to 9.3 × 10^5 g mol-1（Ni） h-1] for ethylene oligomerization with major dimerization. In the presence of methylaluminoxane （MAO）, the nickel complex C1 was capable of ethylene polymerization under 3 MPa, and produced polyethylene products with narrow polydispersity （1.16-1.73） and molecular weights in the range of 2.6-4.95 kg/mol.

关键词： Nickel 2,4-Di-t-butyl-6-(quinolin-8-yliminomethyl)-phenolates Ethylene oligomerization Polymerization.

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Neural 3D reconstruction from sparse views using geometric priors

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Computational Visual Media 2023年第4期9卷 687-697页

作者： Tai-Jiang Mu hao-xiang Chen Jun-Xiong Cai Ning Guo BNRist Department of Computer Science and TechnologyTsinghua UniversityBeijing 100084China Academy of Military Sciences Beijing 100091China

Sparse view 3D reconstruction has attracted increasing attention with the development of neural implicit 3D *** methods usually only make use of 2D views,requiring a dense set of input views for accurate 3D *** this paper,we show that accurate 3D reconstruction can be achieved by incorporating geometric priors into neural implicit 3D *** method adopts the signed distance function as the 3D representation,and learns a generalizable 3D surface reconstruction model from sparse ***,we build a more effective and sparse feature volume from the input views by using corresponding depth maps,which can be provided by depth sensors or directly predicted from the input *** recover better geometric details by imposing both depth and surface normal constraints in addition to the color loss when training the neural implicit 3D *** demonstrate that our method both outperforms state-of-the-art approaches,and achieves good generalizability.

关键词： sparse views 3D reconstruction volume rendering geometric priors neural implicit 3D representation

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