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Fault tolerant control strategy for modular PWM current source inverter

Frontiers in Energy 2023, Volume 17, Issue 2,   Pages 228-238 doi: 10.1007/s11708-022-0852-6

Abstract: harmonic current feedback is proposed after analyzing the influence of the transformer ferromagnetic resonanceIt has been demonstrated that the proposed method effectively suppresses the resonance caused by the

Keywords： current source converter (CSC)     fault-tolerant control     space vector modulation     active damping     resonancesuppression     power quality    

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Identification of cadmium-induced genes in maize seedlings by suppression subtractive hybridization

Quanlin DAI, Baifei HUANG, Zhongyi YANG, Jiangang YUAN, Junzhi YANG

Frontiers of Environmental Science & Engineering 2010, Volume 4, Issue 4,   Pages 449-458 doi: 10.1007/s11783-010-0250-x

Abstract: In this paper, the technique of suppression subtractive hybridization (SSH) was used to isolate and identify

Keywords： cadmium (Cd)     suppression subtractive hybridization    

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Electromagnetic interference modeling and suppression techniques in variable-frequency drive systems

Le YANG, Shuo WANG, Jianghua FENG

Frontiers of Mechanical Engineering 2018, Volume 13, Issue 3,   Pages 329-353 doi: 10.1007/s11465-018-0466-1

Abstract: EMI noise suppression techniques, including passive filter, Wheatstone bridge balance, active filter,

Keywords： variable-frequency drive (VFD)     electromagnetic interference (EMI)     motor drive modeling     EMI noise suppression    

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Vibration suppression of speed-controlled robots with nonlinear control

Paolo BOSCARIOL,Alessandro GASPARETTO

Frontiers of Mechanical Engineering 2016, Volume 11, Issue 2,   Pages 204-212 doi: 10.1007/s11465-016-0380-3

Abstract: The capability of achieving improved trajectory tracking and vibration suppression is shown through experimental

Keywords： industrial robot     nonlinear control     vibration damping     model-free control     motion control    

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Study on concoction and water mist fire suppression performance of new composite additives

Liu Jianghong,Jin Xiang,Liao Guangxuan

Strategic Study of CAE 2010, Volume 12, Issue 9,   Pages 58-62

Abstract:

Water mists for fire suppression and control have widely received considerableA new composite additive was concocted and its effectiveness to water mist's fire suppression performanceResults showed that this additive can greatly improve the fire suppression efficiency of water mist andThe fire suppression mechanism of water mist with this additive was combined with physical and chemicalHowever, the surface cooling and fuel isolation were considered to be the crucial suppression mechanism

Keywords： water mist     additive     concoction     fire suppression performance    

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Multi-harmonic forced vibration and resonance of simple beams to moving vehicles

Frontiers of Structural and Civil Engineering   Pages 981-993 doi: 10.1007/s11709-023-0979-5

Abstract: of a linear elastic simple Euler–Bernoulli beam, and investigated the forced modal oscillation and resonanceThe analysis revealed that a moving load induces high-harmonic forced resonance amplification when theTo verify the occurrence of high-harmonic forced resonance, numerical tests were conducted on single-spanThe forced resonance amplification characteristics of the fundamental mode for beam response estimationThe results reveal that the high-harmonic forced resonance may be significant for the investigated beams

Keywords： forced vibration     linear Euler beam     moving load     harmonic structure     frequency modulation     end restraints    

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Sectional model test study on vortex-excited resonance of vehicle-bridge system of Shanghai Bridge over

Li ZHOU, Yaojun GE

Frontiers of Structural and Civil Engineering 2009, Volume 3, Issue 1,   Pages 67-72 doi: 10.1007/s11709-009-0007-4

Abstract: It is necessary to study how vehicles influence the vortex-excited resonance of vehicle-bridge systems, because lock-in wind speed is low and vortex-excited resonance is sensitive to any change in the mainBased on the Shanghai Bridge over the Yangtse River, the vortex-excited resonance of a 1∶60 scale sectionalThe result indicates that: 1) for the bridge with vehicles, the vertical vortex-excited resonance isTherefore, the influence of vehicles on vortex-excited resonance performance of vehicle-bridge systems

Keywords： vehicle-bridge system     sectional mode     vortex-excited resonance     wind tunnel test     mode shape correction    

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Discovery of the mechanisms of acupuncture in the treatment of migraine based on functional magnetic resonance

Frontiers of Medicine   Pages 993-1005 doi: 10.1007/s11684-023-0989-7

Abstract: The functional magnetic resonance imaging (fMRI) data were analyzed for investigating brain changes induced

Keywords： acupuncture     migraine     fMRI     metabolome     proteome    

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Extended stochastic resonance (SR) and its applications in weak mechanical signal processing

Niaoqing HU, Min CHEN, Guojun QIN, Lurui XIA, Zhongyin PAN, Zhanhui FENG,

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 4,   Pages 450-461 doi: 10.1007/s11465-009-0072-3

Abstract: This paper presents a method based on stochastic resonance (SR) to detect weak fault signal.

Keywords： extended stochastic resonance (SR)     stability analysis of SR     scale transform     weak signal detection     incipient    

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A convolutional neural network based approach to sea clutter suppression for small boat detection

Guan-qing Li, Zhi-yong Song, Qiang Fu,liguanqing09@nudt.edu.cn,songzhiyong08@nudt.edu.cn

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 10,   Pages 1413-1534 doi: 10.1631/FITEE.1900523

Abstract: In this paper we propose a novel convolutional neural network based dual-activated clutter suppressionSecond, we obtain the suppression coefficients by mapping the CAM inversely to the sea clutter spectrum
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Improvement of engine performance with high compression ratio based on knock suppression using Miller

Haiqiao WEI, Jie YU, Lei ZHOU

Frontiers in Energy 2019, Volume 13, Issue 4,   Pages 691-706 doi: 10.1007/s11708-019-0621-3

Abstract: In theory, high compression ratio has the potential to improve the thermal efficiency and promote the power output of the SI engine. However, the application of high compression ratio is substantially limited by the knock in practical working process. The objective of this work is to comprehensively investigate the application of high compression ratio on a gasoline engine based on the Miller cycle with boost pressure and split injection. In this work, the specific optimum strategies for CR10 and CR12 were experimentally investigated respectively on a single cylinder DISI engine. It was found that a high level of Miller cycle with a higher boost pressure could be used in CR12 to achieve an effective compression ratio similar to CR10, which could eliminate the knock limits at a high compression ratio and high load. To verify the advantages of the high compression ratio, the fuel economy and power performance of CR10 and CR12 were compared at full and partial loads. The result revealed that, compared with CR10, a similar power performance and a reduced fuel consumption of CR12 at full load could be achieved by using the strong Miller cycle and split injection. At partial load, the conditions of CR12 had very superior fuel economy and power performance compared to those of CR10.

Keywords： high compression ratio     knock     Miller cycle     split injection     engine performance    

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Growth suppression of colorectal cancer expressing S492R EGFR by monoclonal antibody CH12

Qiongna Dong, Bizhi Shi, Min Zhou, Huiping Gao, Xiaoying Luo, Zonghai Li, Hua Jiang

Frontiers of Medicine 2019, Volume 13, Issue 1,   Pages 83-93 doi: 10.1007/s11684-019-0682-z

Abstract: Furthermore, mAb CH12 showed significantly stronger growth suppression activities and induced a more

Keywords： S492R EGFR ectodomain mutation     colorectal cancer     mAb CH12     immunnotherapy    

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Design of hydraulic resonance of pulsed water - jet

Pu Jianing,Chen Ming

Strategic Study of CAE 2009, Volume 11, Issue 2,   Pages 36-42

Abstract: conduit respectively , and elaborately structuring conditions of water jet system , a strong hydraulic resonanceThe conditions of desirable resonance are searched by direct search algorithm of Matlab .

Keywords： pulsed water- jet     hydraulic resonance     method of characteristics     variable time step method     Matlab    

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Machine learning for detecting mesial temporal lobe epilepsy by structural and functional neuroimaging

Baiwan Zhou, Dongmei An, Fenglai Xiao, Running Niu, Wenbin Li, Wei Li, Xin Tong, Graham J Kemp, Dong Zhou, Qiyong Gong, Du Lei

Frontiers of Medicine 2020, Volume 14, Issue 5,   Pages 630-641 doi: 10.1007/s11684-019-0718-4

Abstract: Mesial temporal lobe epilepsy (mTLE), the most common type of focal epilepsy, is associated with functional and structural brain alterations. Machine learning (ML) techniques have been successfully used in discriminating mTLE from healthy controls. However, either functional or structural neuroimaging data are mostly used separately as input, and the opportunity to combine both has not been exploited yet. We conducted a multimodal ML study based on functional and structural neuroimaging measures. We enrolled 37 patients with left mTLE, 37 patients with right mTLE, and 74 healthy controls and trained a support vector ML model to distinguish them by using each measure and the combinations of the measures. For each single measure, we obtained a mean accuracy of 74% and 69% for discriminating left mTLE and right mTLE from controls, respectively, and 64% when all patients were combined. We achieved an accuracy of 78% by integrating functional data and 79% by integrating structural data for left mTLE, and the highest accuracy of 84% was obtained when all functional and structural measures were combined. These findings suggest that combining multimodal measures within a single model is a promising direction for improving the classification of individual patients with mTLE.

Keywords： mesial temporal lobe epilepsy     functional magnetic resonance imaging     structural magnetic resonance imaging    

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Metabolomics in human type 2 diabetes research

Jingyi Lu, Guoxiang Xie, Weiping Jia, Wei Jia

Frontiers of Medicine 2013, Volume 7, Issue 1,   Pages 4-13 doi: 10.1007/s11684-013-0248-4

Abstract:

The high prevalence of diabetes and diabetic complications has caused a huge burden on the modern society. Although scientific advances have led to effective strategies for preventing and treating diabetes over the past several decades, little progress has been made toward curing the disease or even getting it under control, from a public health and overall societal standpoint. There is still a lack of reliable biomarkers indicative of metabolic alterations associated with diabetes and different drug responses, highlighting the need for the development of early diagnostic and prognostic markers for diabetes and diabetic complications. The emergence of metabolomics has allowed researchers to systemically measure the small molecule metabolites, which are sensitive to the changes of both environmental and genetic factors and therefore, could be regarded as the link between genotypes and phenotypes. During the last decade, the progression made in metabolomics has provided insightful information on disease development and disease onset prediction. Recent studies using metabolomics approach coupled with statistical tools to predict incident diabetes revealed a number of metabolites that are significantly altered, including branched-chain and aromatic amino acids, such as isoleucine, leucine, valine, tyrosine and phenylalanine, as diagnostic or highly-significant predictors of future diabetes. This review summarizes the current findings of metabolomic studies in human investigations with the most common form of diabetes, type 2 diabetes.

Keywords： metabolomics     type 2 diabetes     metabolic pathway     mass spectrometry     nuclear magnetic resonance (NMR)    

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Title Author Date Type Operation

Fault tolerant control strategy for modular PWM current source inverter

Journal Article

Identification of cadmium-induced genes in maize seedlings by suppression subtractive hybridization

Quanlin DAI, Baifei HUANG, Zhongyi YANG, Jiangang YUAN, Junzhi YANG

Journal Article

Electromagnetic interference modeling and suppression techniques in variable-frequency drive systems

Le YANG, Shuo WANG, Jianghua FENG

Journal Article

Vibration suppression of speed-controlled robots with nonlinear control

Paolo BOSCARIOL,Alessandro GASPARETTO

Journal Article

Study on concoction and water mist fire suppression performance of new composite additives

Liu Jianghong,Jin Xiang,Liao Guangxuan

Journal Article

Multi-harmonic forced vibration and resonance of simple beams to moving vehicles

Journal Article

Sectional model test study on vortex-excited resonance of vehicle-bridge system of Shanghai Bridge over

Li ZHOU, Yaojun GE

Journal Article

Discovery of the mechanisms of acupuncture in the treatment of migraine based on functional magnetic resonance

Journal Article

Extended stochastic resonance (SR) and its applications in weak mechanical signal processing

Niaoqing HU, Min CHEN, Guojun QIN, Lurui XIA, Zhongyin PAN, Zhanhui FENG,

Journal Article

A convolutional neural network based approach to sea clutter suppression for small boat detection

Guan-qing Li, Zhi-yong Song, Qiang Fu,liguanqing09@nudt.edu.cn,songzhiyong08@nudt.edu.cn

Journal Article

Improvement of engine performance with high compression ratio based on knock suppression using Miller

Haiqiao WEI, Jie YU, Lei ZHOU

Journal Article

Growth suppression of colorectal cancer expressing S492R EGFR by monoclonal antibody CH12

Qiongna Dong, Bizhi Shi, Min Zhou, Huiping Gao, Xiaoying Luo, Zonghai Li, Hua Jiang

Journal Article

Design of hydraulic resonance of pulsed water - jet

Pu Jianing,Chen Ming

Journal Article

Machine learning for detecting mesial temporal lobe epilepsy by structural and functional neuroimaging

Baiwan Zhou, Dongmei An, Fenglai Xiao, Running Niu, Wenbin Li, Wei Li, Xin Tong, Graham J Kemp, Dong Zhou, Qiyong Gong, Du Lei

Journal Article

Metabolomics in human type 2 diabetes research

Jingyi Lu, Guoxiang Xie, Weiping Jia, Wei Jia

Journal Article