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A new method of continuous blood pressure monitoring using multichannel sensing signals on the wrist

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Microsystems & Nanoengineering 2023年第5期9卷 141-150页

作者： Liangqi wang Shuo Tian rong Zhu State Key Laboratory of Precision Measurement Technology and Instrument Department of Precision InstrumentTsinghua University100084 BeijingChina

Hypertension is a worldwide health problem and a primary risk factor for cardiovascular *** monitoring of blood pressure has important clinical value for the early diagnosis and prevention of cardiovascular ***,existing technologies for wearable continuous blood pressure monitoring are usually inaccurate,rely on subject-specific calibration and have poor generalization across individuals,which limit their practical ***,we report a new blood pressure measurement method and develop an associated wearable device to implement continuous blood pressure monitoring for new *** wearable device detects cardiac output and pulse waveform features through dual photoplethysmography(PPG)sensors worn on the palmar and dorsal sides of the wrist,incorporating custom-made interface sensors to detect the wearing contact pressure and skin *** detected multichannel signals are fused using a machine-learning algorithm to estimate continuous blood pressure in real *** dual PPG sensing method effectively eliminates the personal differences in PPG signals caused by different people and different wearing *** proposed wearable device enables continuous blood pressure monitoring with good generalizability across individuals and demonstrates promising potential in personal health care applications.

关键词： multichannel continuous method

LINEAR REGRESSION OF INTERVAL-VALUED DATA BASED ON COMPLETE INFORMATION IN HYPERCUBES

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Journal of Systems Science and Systems Engineering 2012年第4期21卷 422-442页

作者： Huiwen wang rong GUAN Junjie WU Beijing Key Laboratory of Emergency Support Simulation Technologies for City Operations School of Economics and ManagementBeihang University

Recent years have witnessed an increasing interest in interval-valued data analysis. As one of the core topics, linear regression attracts particular attention. It attempts to model the relationship between one or more explanatory variables and a response variable by fitting a linear equation to the interval-valued observations. Despite of the well-known methods such as CM, CRM and CCRM proposed in the literature, further study is still needed to build a regression model that can capture the complete information in interval-valued observations. To this end, in this paper, we propose the novel Complete Information Method （CIM） for linear regression modeling. By dividing hypercubes into informative grid data, CIM defines the inner product of interval-valued variables, and transforms the regression modeling into the computation of some inner products. Experiments on both the synthetic and real-world data sets demonstrate the merits of CIM in modeling interval-valued data, and avoiding the mathematical incoherence introduced by CM and CRM.

关键词： Interval-valued data linear regression complete information method (CIM) hypercubes

Numerical simulation of compaction parameters for sand-filled embankment using large thickness sand-filling technique in Jianghan Plain district

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Frontiers of Structural and Civil Engineering 2018年第4期12卷 568-576页

作者： Wentao wang Chongzhi TU rong LUO National Center for Materials Service Safety University of Science and Technology BeijingBeijing 100083China Sehool of Transportation Wuhan University of TechnologyWuhan 430063China

The study uses the finite element method to simulate a new technique of highway sand embankment filling in Jianghan Plain district, which can raise the thickness of sand-filled layer from 30 cm to 70 cm and can significantly shorten the construction period based on the guarantee of sand embankment construction quality. After simulating the three compacting proposals carried out on the field test, the study uses COMSOL software to research on the compacting effects of sand-filled layers in larger thicknesses by 22 ton vibratory roller alone, and then to investigate the steady compacting effect of 12 ton vibratory roller. The simulation results indicate that the sand-filled layer thickness of 70 cm is suitable for the new sand filling technique, and the sand-filled embankment project with tight construction period is suggested to choose the 12 ton vibration roller for steady compaction.

关键词： sand embankment compaction in large thickness numerical simulation small size vibratory roller steady compaction

Controlled growth of Au/Ni bimetallic nanocrystals with different nanostructures

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Rare Metals 2017年第4期36卷 229-235页

作者： Si-Bin Duan rong-Ming wang School of Mathematics and Physics University of Science and Technology Beijing Beijing 100083 China

Bimetallic nanomaterials are of great signifi- cance to both fundamental research and industrial appli- cations. Their physicochemical performances are critically dependent on their architectures and electronic structures. Here, it was reported a controlled synthesis of Au/Ni bimetallic nanocrystals with different nanostructures, i.e., dumbbell, core@shell and alloyed nanostructures in a one- pot synthesis procedure. Detailed structural characteriza- tions were conducted with the combination of transmission electron microscopy （TEM） and X-ray diffraction （XRD）. Even there is a large lattice mismatch between Au and Ni, Au@Ni core@shell nanocrystals are obtained with the seeded growth method. The growth mechanism was deeply investigated. Triphenylphosphine is demonstrated to be an effective capping agent to modify the interfacial energy to form core@shell nanocrystals, and the higher temperature is proved to be a key role in obtaining alloyed nanocrystals.

关键词： Bimetallic nanomaterials Au/Ni nanocrystals Interfacial energy Core@shell structure

VCR-LFM-BPSK signal design for countering advanced interception technologies

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Journal of Systems Engineering and Electronics 2021年第2期32卷 380-388页

作者： wang Shanshan LIU Zheng XIE rong wang Jingjing National Laboratory of Radar Signal Processing Xidian UniversityXi’an 710071China

The hybrid waveform of linear frequency modulation and binary phase shift keying(LFM-BPSK)can take advantages of the LFM and BPSK signals,and reduce the defects of ***,with the development of interception technology for the LFM-BPSK signal,the application of the signal is *** this paper,to improve the anti-interception performance of the hybrid waveform,a new waveform of LFM-BPSK with the varying chirp rate(denoted as VCR-LFM-BPSK)is *** this design,based on the working principle of the interception frame for the LFM-BPSK signal,different chirp rates are introduced in different sub-pulses to prevent the signal from being intercepted by the ***,to further improve the anti-interception performance of the VCR-LFM-BPSK signal,the chirp rates are optimized by minimizing the interception capability of the ***,based on the VCR-LFM-BPSK signal with the optimized chirp rates,the binary phases are designed via a multiobjective Pareto optimization to improve the capabilities of autocorrelation and *** results demonstrate that the designed VCR-LFM-BPSK signal outperforms the traditional LFM-BPSK signal in countering the advanced interception technologies.

关键词： hybrid waveform waveform design anti-interception optimization

Energy budget of cosmological first-order phase transition in FLRW background

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Science China(Physics,Mechanics & Astronomy) 2018年第8期61卷 33-53页

作者： rong-Gen Cai Shao-Jiang wang Key Laboratory of Theoretical Physics Institute of Theoretical PhysicsChinese Academy of SciencesBeijing 100190China Department of Physics Helsinki Institute of PhysicsUniversity of HelsinkiHelsinki F1-00014Finland School of Physical Sciences University of Chinese Academy of SciencesBeijing 100049China

We study the hydrodynamics of bubble expansion in cosmological first-order phase transition in the Fdedmann-LemMtre- Robertson-Walker （FLRW） background with probe limit. Different from previous studies for fast first-order phase transition in flat background, we find that, for slow first-order phase transition in FLRW background with a given peculiar velocity of the bubble wall, the efficiency factor of energy transfer into bulk motion of thermal fluid is significantly reduced, thus decreasing the previously-thought dominated contribution from sound wave to the stochastic gravitational-wave background.

关键词： cosmological first-order phase transition bubble expansion hydrodynamics

A Continuum Percolation Model for Stock Price Fluctuation as a Lévy Process

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Journal of Systems Science & Complexity 2015年第1期28卷 175-189页

作者： wang Ning rong Ximin DONG Guanghua College of Management and Economics Tianjin University Department of Science and Technology of Information Tianjin University of Finance and Economics School of Science Tianjin University Center for Applied Mathematics of Tianjin University Department of Mathematics Tianjin Polytechnic University

This paper concerns with two reasons for stock price fluctuation, the instinctive stochastic fluctuation and the fluctuation caused by the spread of information. They are constructed by compound Poisson process and continuum percolation model separately. Combining the two models, the authors get a Levy process for the price fluctuation that can explain the fat-tail phenomenon in stock market. The fat-tails axe also presented in numerical simulations.

关键词： Compound Poisson process continuum percolation fat-tail phenomenon Levy process.

Internal structural optimization of hollow fan blade based on sequential quadratic programming algorithm

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航空动力学报 2011年第4期26卷 787-793页

作者： YANG Jian-qiu wang Yan-rong School of Jet Propulsion Beijing University of Aeronautics and Astronautics Beijing 100191 China

Several structural design parameters for the description of the geometric features of a hollow fan blade were determined.A structural design optimization model of a hollow fan blade which based on the strength constraint and minimum mass was established based on the finite element method through these ***,the sequential quadratic programming algorithm was employed to search the optimal *** groups of value for initial design variables were chosen,for the purpose of not only finding much more local optimal results but also analyzing which discipline that the variables according to could be benefit for the convergence and *** surface method and Monte Carlo simulations were used to analyze whether the objective function and constraint function are sensitive to the variation of variables or *** the robust results could be found among a group of different local optimal solutions.

关键词： hollow fan blade structural optimization sequential quadratic algorithm finite element method Monte Carlo simulations

Interpretable Tourism Demand Forecasting with Two-Stage Decomposition and Temporal Fusion Transformers

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系统科学与复杂性学报（英文版） 2024年第6期37卷 2654-2679页

作者： WU Binrong wang Lin ZENG Yu-rong Business School Hohai UniversityNanjing 211100China School of Management Huazhong University of Science and TechnologyWuhan 430074China School of Information Engineering Hubei University of EconomicsWuhan 430205China

This paper proposes a novel interpretable tourism demand forecasting framework that considers the impact of the COVID-19 pandemic by using multi-source heterogeneous data,namely,historical tourism volume,newly confirmed cases in tourist origins and destinations,and search engine *** paper introduces newly confirmed cases in tourist origins and tourist destinations to forecast tourism demand and proposes a new two-stage decomposition method called ensemble empirical mode decomposition-variational mode decomposition to deal with the tourist arrival *** solve the problem of insufficient interpretability of existing tourism demand forecasting,this paper also proposes a novel interpretable tourism demand forecasting model called JADE-TFT,which utilizes an adaptive differential evolution algorithm with external archiving(JADE)to intelligently and efficiently optimize the hyperparameters of temporal fusion transformers(TFT).The validity of the proposed prediction framework is verified by actual cases based on Hainan and Macau tourism data *** interpretable experimental results show that newly confirmed cases in tourist origins and tourist destinations can better reflect tourists'concerns about travel in the post-pandemic era,and the two-stage decomposi-tion method can effectively identify the inflection point of tourism prediction,thereby increasing the prediction accuracy of tourism demand.

关键词： COVID-19 interpretable deep learning search engine data tourism demand forecasting