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Histogram equalization using a reduced feature set of background speakers’ utterances for speaker recognition Article

Myung-jae KIM, Il-ho YANG, Min-seok KIM, Ha-jin YU

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 5,   Pages 738-750 doi: 10.1631/FITEE.1500380

Abstract: In addition, the proposed method is used as an i-vector normalization method in an i-vector-based probabilisticNational Institute of Standards and Technology (NIST) speaker recognition evaluation (SRE) corpus for the i-vector

Keywords： Speaker recognition     Histogram equalization     i-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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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: The BAC of mouse whey acidic protein gene (<i>mWAPi>) was modified twice by homologous recombinationto produce a universal expression vector, and the human lysozyme gene (<i>hLZi>) was then insertedinto the vector by a digestion-ligation method.The final vector containing the 8.5 kb <i>mWAPi> 5′ promoter, 4.8 kb <i>hLZi> 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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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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Direct field oriented control scheme for space vector modulated AC/DC/AC converter fed induction motor

F. BENCHABANE, A. TITAOUINE, O. BENNIS, K. YAHIA, D. TAIBI

Frontiers in Energy 2012, Volume 6, Issue 2,   Pages 129-137 doi: 10.1007/s11708-012-0183-0

Abstract: This paper investigates a Luenberger flux observer with speed adaptation for a direct field oriented control of an induction motor. An improved method of speed estimation that operates on the principle of speed adaptive flux and current observer has been proposed. An observer is basically an estimator that uses a plant model and a feedback loop with measured stator voltage and current. Simulation results show that the proposed direct field oriented control with the proposed observer provides good performance dynamic characteristics. The induction motor is fed by an indirect power electronics converter. This indirect converter is controlled by a sliding mode technique that enables minimization of harmonics introduced by the line converter, as well as the control of the power factor and DC-link voltage. The robustness of the overall system is studied using simulation for different operating modes and varied parameters.

Keywords： induction motor     direct filed oriented control     Luenberger observer     estimation     space vector modulation    

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Construction of lentiviral vector carrying Rab9 gene and its expression in mouse brain

Youguo HAO, Min ZHANG, Jinzhi XU, Bitao BU, Jiajun WEI

Frontiers of Medicine 2009, Volume 3, Issue 2,   Pages 141-147 doi: 10.1007/s11684-009-0041-6

Abstract: Rab proteins and their effectors facilitate vesicular transport by tethering donor vesicles to their respective target membranes. Rab9 mediates late endosome-to- -Golgi-network trafficking. To explore the possibility of Rab9-related gene therapy for neurodegenerative diseases, we packed Lentivirus encoding Rab9. The expressing plasmid pCDH1-MCF1-Rab9-EF1-copGFP was constructed by using molecular biological techniques. The Lentivirus encoding Rab9 cDNA was packed by Lifectamine-2000 mediated co-transfection of the plasmid pPACKH1- , pPACKH1- and pVSV- into 293T cells. DNA sequencing proved the successful construction of pCDH1-MCF1-Rab9-EF1-copGFP. After 72 hours, the expression of GFP could be detected in BV-2 cells. Western blotting revealed that the Rab9 gene expression in BALB/c mice brain was up-regulated significantly 4 weeks after injection with Lentivirus encoding Rab9, which evidenced a satisfactory increasing effect of this virus. Administration of Lenti-Rab9 to postnatal day 3 Niemann-Pick disease type C (NPC) mice reduced motor defects and prevented the weight loss associated with female NPC mice, as well as modulating the death rate of Purkinje neurons. It is concluded that the packaging of Lentivirus encoding Rab9 was successful. Lentivirus encoding Rab9 can increase the expression of Rab9 gene effectively, which might offer a novel means for the treatment of neurodegenerative diseases.

Keywords： Rab9     lentivirus     gene therapy     gene transfer    

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Generalization and application in time series forecasting of the least square support vector machine

Xiang Xiaodong

Strategic Study of CAE 2008, Volume 10, Issue 11,   Pages 89-92

Abstract: than historical data in time-series,the paper extends the prediction method of least square support vectormachine and obtains a more general prediction model of least square support vector machine,and developsis more effective.Therefore it improves the value of the prediction method of least square support vector

Keywords： least square support vector machine     generalization     time series     forecasting    

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Title Author Date Type Operation

Histogram equalization using a reduced feature set of background speakers’ utterances for speaker recognition

Myung-jae KIM, Il-ho YANG, Min-seok KIM, Ha-jin YU

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

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

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

Direct field oriented control scheme for space vector modulated AC/DC/AC converter fed induction motor

F. BENCHABANE, A. TITAOUINE, O. BENNIS, K. YAHIA, D. TAIBI

Journal Article

Construction of lentiviral vector carrying Rab9 gene and its expression in mouse brain

Youguo HAO, Min ZHANG, Jinzhi XU, Bitao BU, Jiajun WEI

Journal Article

Generalization and application in time series forecasting of the least square support vector machine

Xiang Xiaodong

Journal Article