Frequency Slice Wavelet Transform for Dynamic Signal Analysis

Zhongwei Jiang,Zhonghong Yan 대한전기학회 2010 정보 및 제어 심포지엄 논문집 Vol.2010 No.10

A new time-frequency analysis method, called frequency slice wavelet transform (FSWT), is introduced. The basic idea of FSWT comes from the short-time Fourier transform(STFT) by extension directly to frequency domain. The original signal can be decomposed by frequency slice function(FSF), which is similar to the wavelet base. Also the signal can be reconstructed by the FSWT representation in an easy way without the strict limitation in wavelet theory. In this paper, the basic theory of FSWT are described first. Tow application examples are demonstrated the efficiency of FSWT on structure dynamic analysis. First example shows how to identify or separate a complex impulse vibration signal. As the second example, FSWT is used to estimate the group velocity of A? Lamb wave in beam and to detect the reflection wave from a weak crack. The experimental result shows the accurate estimation of the arrival time of reflection wave from the crack and the group velocity with the aid of FSWT.

Requirements and Applications for Medical and Health Care with ICT

Zhongwei Jiang 대한기계학회 2012 대한기계학회 춘추학술대회 Vol.2012 No.6-2

Development of Digital Stethoscope Diagnosis System for Cardiac Disorders

Zhongwei JIANG,Kazuhiro YAMADA,Takashi FUJII,Masunori MATSUZAKI 제어로봇시스템학회 2001 제어로봇시스템학회 국제학술대회 논문집 Vol.2001 No.10

Looseness Estimation of Bolts on Truss Structure with PZT Patches

Zhongwei JIANG,Yasutaka TAKEUCHI 제어로봇시스템학회 2002 제어로봇시스템학회 국제학술대회 논문집 Vol.2002 No.10

Release Control of Drug-encapsulated Liposomes

Zhongwei Jiang,Guoming Chen,Takaaki Kawazu,Minoru Morita 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8

Liposomes as a drug delivery system has been an attracting interest to many researchers. This paper concerns with the study on how to control the release rate of the inner-substances from liposomes by the ultrasonic irradiation. Two kinds of ultrasonic control methods are tested for investigation of the efficiency of the release property of the liposomes. One control method is to increase the input power by fixing its frequency at the probe resonant frequency of 28.18kHz. Another method is to adjust the input frequency around the probe resonant frequency but fixing the input power. In the experiment, instead of the drug, calcein is enclosed into the liposomes and the release effect is evaluated from the fluorescence intensity changes which is measured by a spectrofluorometer. The experiment results showed that the efficient release property can be achieved both by control of the input power and input frequency, but adjusting the input frequency around the probe resonant frequency can get higher efficient release performance than that controlled by the input power.

Frequency Slice Wavelet Transform for Dynamic Siganal Analysis

Zhongwei Jiang,Zhonghong Yan 대한전기학회 2010 대한전기학회 학술대회 논문집 Vol.2010 No.10

A new time-frequency analysis method, called frequency slice wavelet transform (FSWT), is introduced. The basic idea of FSWT comes from the short-time Fourier transform(STFT) by extension sirectly to frequency domain. The original signal can be decomposed by frequency slice function(FSF), which is similar to the wavelet base. Also the signal can be reconstructed by the FSWT representation in an easy way without the strict limitation in wevelet theory. In this paper, the basic theory of FSWT are described first. Tow application examples are demonstrated the efficiency of FSWT on structure dynamic analysis. First example shows how to identify or separate a complex impulse vibration signal. As the second example, FSWT is used to estimate the group velocity of A0 Lamb wave in beam and to detect the reflection wave from a weak crack. The experimental result shows the accurate estimation of the arrival time of reflection wave from the crack and the group velocity with the aid of FSWT.

Protein corona on magnetite nanoparticles and internalization of nanoparticle-protein complexes into healthy and cancer cells

Jiang, Wen,Lai, Kuilin,Wu, Yao,Gu, Zhongwei 대한약학회 2014 Archives of Pharmacal Research Vol.37 No.1

Superparamagnetic magnetite nanoparticles (MNPs) of different surface properties are incubated in complicated living fluid, including fetal bovine serum solution, cell complete culture medium and cell culture system with/without serum, to investigate the alteration of protein corona and its impact on cell internalization. The MNPs prepared by co-precipitation method are functionalized with L-Lysine (Lys), Glucosamic acid (GA) to obtain amine, carboxyl and hydroxyl groups, separately. All the particles adsorb serum proteins to form MNPs-protein complexes with the surface charge changing into negative. 1D SDS/PAGE gel images analysis indicates that the composition and content of hard protein corona on the surface of NPs are related to their functional groups and agglomeration, and the total amount of protein in the medium. In cell culture system, particles not only adsorb serum proteins, but also associate with cytosolic proteins arising from HepG2 and L02 cells. GA modified MNPs (MNPs-GA) exhibit bovine serum albumin anti-adsorption capability because of the terminal hydroxyl and carboxyl groups. MNPs-GA also shows the highest cellular uptake and label efficiency compared with uncoated MNPs and Lys modified MNPs, due to larger aggregates formation and specific protein corona composition, rather than commonly approved electrostatic interaction between particles and cells. For the first time, our results provide visualized reports on previously neglected, but indispensable protein corona of the MNPs after interaction with both healthy and cancer cells, suggesting that cytosolic protein corona from cells and aggregation of particles are important factors needed to be account for on studying the nano-bio interface.

Protein corona on magnetite nanoparticles and internalization of nanoparticle–protein complexes into healthy and cancer cells

Wen Jiang,Kuilin Lai,Yao Wu,Zhongwei Gu 대한약학회 2014 Archives of Pharmacal Research Vol.37 No.1

Superparamagnetic magnetite nanoparticles(MNPs) of different surface properties are incubated incomplicated living fluid, including fetal bovine serumsolution, cell complete culture medium and cell culturesystem with/without serum, to investigate the alteration ofprotein corona and its impact on cell internalization. TheMNPs prepared by co-precipitation method are functionalizedwith L-Lysine (Lys), Glucosamic acid (GA) to obtainamine, carboxyl and hydroxyl groups, separately. All theparticles adsorb serum proteins to form MNPs–proteincomplexes with the surface charge changing into negative. 1D SDS/PAGE gel images analysis indicates that thecomposition and content of hard protein corona on thesurface of NPs are related to their functional groups andagglomeration, and the total amount of protein in themedium. In cell culture system, particles not only adsorbserum proteins, but also associate with cytosolic proteinsarising from HepG2 and L02 cells. GA modified MNPs(MNPs-GA) exhibit bovine serum albumin anti-adsorptioncapability because of the terminal hydroxyl and carboxylgroups. MNPs-GA also shows the highest cellular uptakeand label efficiency compared with uncoated MNPs andLys modified MNPs, due to larger aggregates formationand specific protein corona composition, rather than commonlyapproved electrostatic interaction between particles and cells. For the first time, our results provide visualizedreports on previously neglected, but indispensable proteincorona of the MNPs after interaction with both healthy andcancer cells, suggesting that cytosolic protein corona fromcells and aggregation of particles are important factorsneeded to be account for on studying the nano–biointerface.

Automatic sleep-wake stages classifier based on ECG

Mourad Adnane,Zhongwei Jiang 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8

Sleep-wake stages discrimination is an important task in the study of cardiorespiratory diseases. Usually this is done by processing physiological signals such as electroencephalogram (EEG) that are, exclusively, recorded in hospitals using polysomnography (PSG) systems. In this paper, we report a simple automatic sleep-wake stages classifier using only RR series obtained from electrocardiogram (ECG). Seven features were extracted from the RR series by three methods, the heart rate variability (HRV), the detrended fluctuation analysis (DFA) and a proposed windowed detrended fluctuation analysis (WDFA). A subject-specific scheme was used where 20% of a subject’ data was used to train the classifier and 80% for the classification. The method was tested on the MIT/BIH Polysomnographic Database (MITBPD) using support vector machine (SVM). Finally, the sleep efficiency Seff was calculated for evaluation of sleep condition.

Safety Evaluation of Underground Gas Pipe under Blasting of Subway Connected Aisle: A Case Study

Yumin Yang,Zhongwei Cai,Nan Jiang,Chuanbo Zhou,Haibo Li 대한토목학회 2022 KSCE JOURNAL OF CIVIL ENGINEERING Vol.26 No.2

How to ensure the underground gas pipe’s safety under blasting construction of subway connected aisles is a key problem in tunnel construction. Based on the blasting excavation project of Wuhan Rail Transit Line 8 phase II, the numerical model whose reliability is verified by field monitoring data is established by ANSYS/LS-DYNA to analyze the dynamic underground gas pipe’s dynamic characteristics under blasting excavation of the connected aisle. According to the piping design code, the allowable effective stress control standard of underground pipe is proposed to evaluate the underground pipe’s safety under the blasting. The results show that: with the advance of blasting excavation, the position of the most dangerous section will change constantly and the pipe’s peak particle velocity (PPV) will appear an obvious amplification phenomenon in both sides of metro tunnels. The pipe’s PPV is greater than the ground surface’s PPV. A mathematical model is established to predict the pipeline’s PPV based on the linear relationship between the pipeline and the ground surface. According to the correlation between PPV and von-Mises stress of gas pipeline, a mathematical model between the pipe’s von-Mises stress and distance is established to predict the pipeline’s safety, which can provide guidance for actual blasting engineering.