Resource Type

Journal Article 206

Conference Videos 2

Year

2023 10

2022 12

2021 14

2020 11

2019 14

2018 16

2017 11

2016 15

2015 25

2014 11

2013 13

2012 14

2011 10

2010 3

2009 7

2008 5

2007 3

2006 4

2005 3

2003 1

open ︾

Keywords

index system 10

vector control 8

Support vector machine 4

Support vector machine (SVM) 3

harvest index 3

Artificial intelligence 2

Artificial neural network 2

China 2

Direct power control 2

Diversity index 2

Reactive oxygen species 2

active power 2

doubly fed induction generator (DFIG) 2

evaluation index 2

evaluation index system 2

index evaluation 2

induction motor 2

load growth 2

load models 2

open ︾

Search scope:

排序: Display mode:

Comparison of optimal capacitor placement methods in radial distribution system with load growth and ZIP load model

Veera Venkata Satya Naryana MURTY, Ashwani KUMAR

Frontiers in Energy 2013, Volume 7, Issue 2,   Pages 197-213 doi: 10.1007/s11708-013-0249-7

Abstract: In this paper, a combined power loss sensitivity (PLS) index-based approach is proposed to determinecapacitors in the radial distribution system (RDS) based on the real and reactive combined loss sensitivity indexThe results have been obtained with the existing methods of power loss index (PLI) and index vector (IV) method for comparison.

Keywords: load growth     load models     reactive power compensation     radial distribution system     power loss index (PLI)     power loss sensitivity (PLS)     index vector (IV)    

Vanadium(IV) solvent extraction enhancement in high acidity using di-(2-ethylhexyl)phosphoric acid with

Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 1,   Pages 56-67 doi: 10.1007/s11705-022-2185-8

Abstract: Separation of vanadium from black shale leaching solution at low pH is very meaningful, which can effectively avoid the generation of alkali neutralization slag and the resulting vanadium loss. In this study, coordination mechanism of vanadium in acid leaching solution at low pH was investigated with the intervention of chloride ions. Under the conditions of pH 0.8, di-(2-ethylhexyl)phosphoric acid concentration of 20%, phase ratio of 1:2, and extraction time of 8 min, the vanadium extraction could reach 80.00%. The Fourier transform infrared and electrospray ionization results reveal that, despite the fact that the chloride ion in the leachate could significantly promote vanadium extraction, the chloride ion does not enter the organic phase, indicating an intriguing phenomenon. Among Cl–V, SO42−–V, and H2O–V, the V–Cl bond is longer and the potential difference between coordinate ions and vanadium is smaller. Therefore, VO2+ gets easily desorbed with chloride ions and enter the organic phase. At the same time, the hydrogen ions of di-(2-ethylhexyl)phosphoric acid also enter the water phase more easily, which reduces the pH required for the extraction reaction.

Keywords: vanadium     black shale     solvent extraction     high acidity extraction    

Modeling of Ce(IV) transport through a dispersion flat combined liquid membrane with carrier P507

Liang PEI,Liming WANG,Zhanying MA

Frontiers of Environmental Science & Engineering 2014, Volume 8, Issue 4,   Pages 503-509 doi: 10.1007/s11783-013-0540-1

Abstract: A mathematical model for the transport of Ce(IV) from hydrochloric acid solutions through dispersionIn this work, the system is considered to be in a transient state, and chemical reaction between Ce(IVThe experimental and simulated Ce(IV) extractions showed similar tendencies for a high Ce(IV) concentrationand acidity case.The model results indicate that high initial Ce(IV) concentrations and acidity bothhave detrimental effects on Ce(IV) extraction and stripping.

Keywords: membrane (DFCLM)     dispersion phase     feed phase     2-ethyl hexyl phosphonic acid-mono-2-ethyl hexyl ester     Ce (IV    

Astragaloside IV suppresses post-ischemic natural killer cell infiltration and activation in the brain

Baokai Dou, Shichun Li, Luyao Wei, Lixin Wang, Shiguo Zhu, Zhengtao Wang, Zunji Ke, Kaixian Chen, Zhifei Wang

Frontiers of Medicine 2021, Volume 15, Issue 1,   Pages 79-90 doi: 10.1007/s11684-020-0783-8

Abstract: Astragaloside IV (ASIV) is the major bioactive ingredient of , a Chinese herbal medicine, and possesses

Keywords: astragaloside IV     brain ischemia     natural killer cells     histone deacetylase     nuclear factor-κB    

Visible light induces bacteria to produce superoxide for manganese oxidation

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 2, doi: 10.1007/s11783-023-1619-y

Abstract:

● Term of manganese-oxidizing microorganisms should be reconsidered.

Keywords: Mn(II) oxidation     Manganese-oxidizing bacteria     Reactive oxygen species     Mn(III/IV) oxides    

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    

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    

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    

Study on online monitoring method for flood discharge structure damage based on Hilbert-Huang Transform

Lian Jijian,Li Chengye,Liu Fang,Ma Bin

Strategic Study of CAE 2011, Volume 13, Issue 12,   Pages 38-44

Abstract: Firstly, after obtaining the HHT energy spectrum of measured responses, the energy distribution vector

Keywords: flood discharge structure     Hilbert-Huang Transform     the energy distribution vector     anomaly index     warning    

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    

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    

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    

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    

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    

Research on port ecological suitability evaluation index system and evaluation model

Yaofeng XIE,Xia LV,Ru LIU,Liuyan MAO,Xiaoxi LIU

Frontiers of Structural and Civil Engineering 2015, Volume 9, Issue 1,   Pages 65-70 doi: 10.1007/s11709-014-0258-6

Abstract: pointed out the characteristics of port ecological effects and the principles of selecting evaluation indexOn this basis, we constructed the port ecological suitability evaluation index.analytic hierarchy process, to meet the multi-level, multi-objective characteristics of evaluation indexThe evaluation index system and evaluation model can be used to analysis the ecological suitability of

Keywords: port     ecological suitability     press-state-response (PSR) model     evaluation index system    

Title Author Date Type Operation

Comparison of optimal capacitor placement methods in radial distribution system with load growth and ZIP load model

Veera Venkata Satya Naryana MURTY, Ashwani KUMAR

Journal Article

Vanadium(IV) solvent extraction enhancement in high acidity using di-(2-ethylhexyl)phosphoric acid with

Journal Article

Modeling of Ce(IV) transport through a dispersion flat combined liquid membrane with carrier P507

Liang PEI,Liming WANG,Zhanying MA

Journal Article

Astragaloside IV suppresses post-ischemic natural killer cell infiltration and activation in the brain

Baokai Dou, Shichun Li, Luyao Wei, Lixin Wang, Shiguo Zhu, Zhengtao Wang, Zunji Ke, Kaixian Chen, Zhifei Wang

Journal Article

Visible light induces bacteria to produce superoxide for manganese oxidation

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

Study on online monitoring method for flood discharge structure damage based on Hilbert-Huang Transform

Lian Jijian,Li Chengye,Liu Fang,Ma Bin

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

Research on port ecological suitability evaluation index system and evaluation model

Yaofeng XIE,Xia LV,Ru LIU,Liuyan MAO,Xiaoxi LIU

Journal Article