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Accurate two-degree-of-freedom discrete-time current controller design for PMSM using complex vectors None

Meng WANG, Jia-qiang YANG, Xiang ZHANG, Chang-sheng ZHU

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 4,   Pages 569-581 doi: 10.1631/FITEE.1601390

Abstract: loop, the direct design method in the discrete-time domain is adopted using the accurate discrete-time complexvector model.Analysis is conducted by the robust root locus method via the complex vector root locus and sensitivity

Keywords： Permanent magnet synchronous machine (PMSM)     Discrete-time current controller     Complex vector    

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Liquefaction prediction using support vector machine model based on cone penetration data

Pijush SAMUI

Frontiers of Structural and Civil Engineering 2013, Volume 7, Issue 1,   Pages 72-82 doi: 10.1007/s11709-013-0185-y

Abstract: A support vector machine (SVM) model has been developed for the prediction of liquefaction susceptibilityThe effect of capacity factor ( ) on number of support vector and model accuracy has also been investigated

Keywords： earthquake     cone penetration test     liquefaction     support vector machine (SVM)     prediction    

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A modified neural learning algorithm for online rotor resistance estimation in vector controlled induction

A. CHITRA,S. HIMAVATHI

Frontiers in Energy 2015, Volume 9, Issue 1,   Pages 22-30 doi: 10.1007/s11708-014-0339-1

Abstract: Online estimation of rotor resistance is essential for high performance vector controlled drives.

Keywords： neural networks     back propagation (BP)     rotor resistance estimators     vector control     induction motor    

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Unconfined compressive strength prediction of soils stabilized using artificial neural networks and support vector

Alireza TABARSA, Nima LATIFI, Abdolreza OSOULI, Younes BAGHERI

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 2,   Pages 520-536 doi: 10.1007/s11709-021-0689-9

Abstract: Two artificial-intelligence-based models including artificial neural networks and support vector machinesThis study demonstrates the better performance of support vector machines in predicting the strengthThe type of kernel function used in support vector machine models contributed positively to the performance

Keywords： unconfined compressive strength     artificial neural network     support vector machine     predictive models     regression    

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GID complex regulates the differentiation of neural stem cells by destabilizing TET2

Frontiers of Medicine doi: 10.1007/s11684-023-1007-9

Abstract: interacts with the core subunits of the glucose-induced degradation-deficient (GID) ubiquitin ligase complex, an evolutionarily conserved ubiquitin ligase complex and is ubiquitinated by itself.The protein levels of GID complex subunits increased reciprocally with TET2 level upon NSC differentiationThe silencing of the core subunits of the GID complex, including WDR26 and ARMC8, attenuated the ubiquitinationOur results illustrated that the GID complex negatively regulates TET2 protein stability, further modulates

Keywords： TET2     GID complex     neural stem cells     differentiation of neurons    

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Efficiency of scalar and vector intensity measures for seismic slope displacements

Gang WANG

Frontiers of Structural and Civil Engineering 2012, Volume 6, Issue 1,   Pages 44-52 doi: 10.1007/s11709-012-0138-x

Abstract: efficiency of various single ground motion intensity measures (scalar ) or a combination of them (vectorVector can incorporate different characteristics of the ground motion and thus significantly improveAmong various vector considered, the spectral accelerations at multiple spectral periods achieve high

Keywords： seismic slope displacements     intensity measures     empirical prediction    

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Construction and identification of lentiviral RNA interference vector of rat leptin receptor gene

Zhengjuan LIU, Jie BIAN, Yuchuan WANG, Yongli ZHAO, Dong YAN, Xiaoxia WANG

Frontiers of Medicine 2009, Volume 3, Issue 1,   Pages 57-60 doi: 10.1007/s11684-009-0003-z

Abstract: The aim of the present study was to construct the lentiviral RNA interference (RNAi) vector of rat OBRb

Keywords： receptors     leptin     RNA interference     lentivirus vector    

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Construction of a universal recombinant expression vector that regulates the expression of human lysozyme

Shen LIU, Shengzhe SHANG, Xuezhen YANG, Huihua ZHANG, Dan LU, Ning LI

Frontiers of Agricultural Science and Engineering 2018, Volume 5, Issue 3,   Pages 382-389 doi: 10.15302/J-FASE-2018211

Abstract: A key component in the technology is the construction of an efficient milk expression vector.Here, we established a simple method to construct a milk expression vector, by a combination of homologous, and the human lysozyme gene (hLZ) was then inserted into the vector by a digestion-ligationThe final vector containing the 8.5 kb mWAP 5′ promoter, 4.8 kb hLZ genomic DNA, and 8.0that the resulting vector regulates the expression of hLZ in milk.

Keywords： BAC recombinant methods     gene expression     human lysozyme     transgenic mice     milk expression vector    

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bentonite/sepiolite plastic concrete compressive strength using artificial neural network and support vector

Ali Reza GHANIZADEH, Hakime ABBASLOU, Amir Tavana AMLASHI, Pourya ALIDOUST

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 1,   Pages 215-239 doi: 10.1007/s11709-018-0489-z

Abstract: aims to explore two machine learning algorithms including artificial neural network (ANN) and support vector

Keywords： bentonite/sepiolite plastic concrete     compressive strength     artificial neural network     support vector machine    

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Diagnosis of sewer pipe defects on image recognition of multi-features and support vector machine in

Xiangyang Ye, Jian’e Zuo, Ruohan Li, Yajiao Wang, Lili Gan, Zhonghan Yu, Xiaoqing Hu

Frontiers of Environmental Science & Engineering 2019, Volume 13, Issue 2, doi: 10.1007/s11783-019-1102-y

Abstract:

An image-recognition-based diagnosis system of pipe defect types was established.

1043 practical pipe images were gathered by CCTV robot in a southern Chinese city.

The overall accuracy of the system is 84% and the highest accuracy is 99.3%.

The accuracy shows positive correlation to the number of training samples.

Keywords： Sewer pipe defects     Defect diagnosing     Image recognition     Multi-features extraction     Support vector machine    

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A novel NN based rotor flux MRAS to overcome low speed problems for rotor resistance estimation in vector

Venkadesan ARUNACHALAM,Himavathi SRINIVASAN,A. MUTHURAMALINGAM

Frontiers in Energy 2016, Volume 10, Issue 4,   Pages 382-392 doi: 10.1007/s11708-016-0421-y

Abstract: model reference adaptive system (MRAS) to solve low speed problems for estimating rotor resistance in vectorflux estimator as the adaptive model (FLUX-MRAS) for rotor resistance estimation is popularly used in vector
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Footholds optimization for legged robots walking on complex terrain

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 2, doi: 10.1007/s11465-022-0742-y

Abstract: novel continuous footholds optimization method for legged robots to expand their walking ability on complexslipping or tripping on the edge of obstacles, and to improve its stability and safety when walking on compleximplemented the algorithm on a hexapod robot, and verified its feasibility in a walking experiment on a complex

Keywords： footholds optimization     legged robot     complex terrain adapting     hexapod robot     locomotion control    

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Vector quantization: a review Regular Papers

Ze-bin WU, Jun-qing YU

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 4,   Pages 507-524 doi: 10.1631/FITEE.1700833

Abstract:

Vector quantization (VQ) is a very effective way to save bandwidth and storage for speech coding andTraditional vector quantization methods can be divided into mainly seven types, tree-structured VQ, directSo, finding a vector quantization method that can strike a balance between speed and accuracy and consume

Keywords： Approximate nearest neighbor search     Image coding     Vector quantization    

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Damage assessment of laminated composite beam structures using damage locating vector (DLV) method

T. VO-DUY,N. NGUYEN-MINH,H. DANG-TRUNG,A. TRAN-VIET,T. NGUYEN-THOI

Frontiers of Structural and Civil Engineering 2015, Volume 9, Issue 4,   Pages 457-465 doi: 10.1007/s11709-015-0303-0

Abstract: In this paper, the damage locating vector (DLV) method using normalized cumulative energy ( ) is employed

Keywords： normalized cumulative energy     structural health monitoring (SHM)     damage locating vector method (DLV)     laminated    

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Special issue: Reliability management of complex system

Frontiers of Engineering Management 2021, Volume 8, Issue 4,   Pages 477-479 doi: 10.1007/s42524-021-0175-z

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Title Author Date Type Operation

Accurate two-degree-of-freedom discrete-time current controller design for PMSM using complex vectors

Meng WANG, Jia-qiang YANG, Xiang ZHANG, Chang-sheng ZHU

Journal Article

Liquefaction prediction using support vector machine model based on cone penetration data

Pijush SAMUI

Journal Article

A modified neural learning algorithm for online rotor resistance estimation in vector controlled induction

A. CHITRA,S. HIMAVATHI

Journal Article

Unconfined compressive strength prediction of soils stabilized using artificial neural networks and support vector

Alireza TABARSA, Nima LATIFI, Abdolreza OSOULI, Younes BAGHERI

Journal Article

GID complex regulates the differentiation of neural stem cells by destabilizing TET2

Journal Article

Efficiency of scalar and vector intensity measures for seismic slope displacements

Gang WANG

Journal Article

Construction and identification of lentiviral RNA interference vector of rat leptin receptor gene

Zhengjuan LIU, Jie BIAN, Yuchuan WANG, Yongli ZHAO, Dong YAN, Xiaoxia WANG

Journal Article

Construction of a universal recombinant expression vector that regulates the expression of human lysozyme

Shen LIU, Shengzhe SHANG, Xuezhen YANG, Huihua ZHANG, Dan LU, Ning LI

Journal Article

bentonite/sepiolite plastic concrete compressive strength using artificial neural network and support vector

Ali Reza GHANIZADEH, Hakime ABBASLOU, Amir Tavana AMLASHI, Pourya ALIDOUST

Journal Article

Diagnosis of sewer pipe defects on image recognition of multi-features and support vector machine in

Xiangyang Ye, Jian’e Zuo, Ruohan Li, Yajiao Wang, Lili Gan, Zhonghan Yu, Xiaoqing Hu

Journal Article

A novel NN based rotor flux MRAS to overcome low speed problems for rotor resistance estimation in vector

Venkadesan ARUNACHALAM,Himavathi SRINIVASAN,A. MUTHURAMALINGAM

Journal Article

Footholds optimization for legged robots walking on complex terrain

Journal Article

Vector quantization: a review

Ze-bin WU, Jun-qing YU

Journal Article

Damage assessment of laminated composite beam structures using damage locating vector (DLV) method

T. VO-DUY,N. NGUYEN-MINH,H. DANG-TRUNG,A. TRAN-VIET,T. NGUYEN-THOI

Journal Article

Special issue: Reliability management of complex system

Journal Article