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Research on the data processing methods of airborne vector gravimetry using SINS/GNSS

Ning Jinsheng

Strategic Study of CAE 2014, Volume 16, Issue 3,   Pages 4-13

Abstract:

Airborne vector gravimetry is an advanced and efficient technology to determine high frequency informationand satellite gravimetry.The principle of airborne vector gravimetry using SINS(strapdown inertial navigation system)/GNSS(globalvector gravimetry.It provides the support for the development of airborne vector gravimetry in our country.

Keywords: airborne vector gravimetry     SINS/GNSS data fusion     earth gravity field     geoid    

Erratum to: Optimized determination of airborne tetracycline resistance genes in laboratory atmosphere

Lu Song, Can Wang, Yizhu Wang

Frontiers of Environmental Science & Engineering 2020, Volume 14, Issue 6, doi: 10.1007/s11783-020-1289-y

Advances in airborne microorganisms detection using biosensors: A critical review

Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 3, doi: 10.1007/s11783-021-1420-8

Abstract: Airborne microorganisms can cause airborne infectious diseases, which spread rapidly and extensively,In recent years, the detection technology for airborne microorganisms has developed rapidly; it can be

Keywords: Biosensor     Airborne microorganisms     Microbiological detection technology    

The size distribution of airborne bacteria and human pathogenic bacteria in a commercial composting plant

Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 3, doi: 10.1007/s11783-020-1356-4

Abstract:

•Bacterial concentrations from eight stages were 104–105copies/m3.

Keywords: Size distribution     Airborne bacteria     Biological diversity     Human pathogenic bacteria     Composting plants    

Optimized determination of airborne tetracycline resistance genes in laboratory atmosphere

Lu Song, Can Wang, Yizhu Wang

Frontiers of Environmental Science & Engineering 2020, Volume 14, Issue 6, doi: 10.1007/s11783-020-1274-5

Abstract: . • Operational process to detect airborne ARGs was optimized. • Providing research basis to controlAirborne ARGs transmission presents the public health threat.airborne particulate matter and the low biological content of samples.In this study, an optimized protocol for collecting and detecting airborne ARGs was presented.The highest concentrations of airborne ARGs were detected with 1.4 µL/mm2 buffer wash.

Keywords: Airborne tetracycline resistance genes     Filter sampling     Capture loading     Membrane pretreatment     Indoor laboratory    

Airborne Wind Energy Prepares for Take Off

Peter Weiss

Engineering 2020, Volume 6, Issue 2,   Pages 107-109 doi: 10.1016/j.eng.2019.12.002

Airborne bacteria associated with particulate matter from a highly urbanised metropolis: A potential

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 9, doi: 10.1007/s11783-022-1552-5

Abstract:

• The airborne bacteria of Mexico City are representative of urban environments

Keywords: Airborne bacteria     Urbanisation     PM10     Mexico City     Microbiome    

Erratum to “After Highflyer Crashes, Airborne Wind Energy Regroups” [Engineering 7 (2021) 277–279]

Peter Weiss

Engineering 2021, Volume 7, Issue 10,   Pages 1506-1506 doi: 10.1016/j.eng.2021.08.004

A CFD study of the transport and fate of airborne droplets in a ventilated office: The role of droplet

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 3, doi: 10.1007/s11783-021-1465-8

Abstract:

• Coulomb and Lennard−Jones forces were considered for droplet interactions.

Keywords: Droplet interactions     Aerosols     Colloids     CFD     Transport     Fate    

Effects of heavy rainfall on the composition of airborne bacterial communities

Gwang Il Jang, Chung Yeon Hwang, Byung Cheol Cho

Frontiers of Environmental Science & Engineering 2018, Volume 12, Issue 2, doi: 10.1007/s11783-018-1008-0

Abstract: Thus, after rainfall, these two mechanisms are expected to cause changes in airborne bacterial communityIn particular, the absolute and relative abundances of airborne always increased after rainfall, whereasthose of airborne , including and , consistently decreased.Rainfall events seemed to affect airborne BCCs by the combined action of the two mechanisms, with potentially

Keywords: Aerosol     Bacteria     Community composition     Pyrosequencing     Rain    

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    

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    

Title Author Date Type Operation

Research on the data processing methods of airborne vector gravimetry using SINS/GNSS

Ning Jinsheng

Journal Article

Erratum to: Optimized determination of airborne tetracycline resistance genes in laboratory atmosphere

Lu Song, Can Wang, Yizhu Wang

Journal Article

Advances in airborne microorganisms detection using biosensors: A critical review

Journal Article

The size distribution of airborne bacteria and human pathogenic bacteria in a commercial composting plant

Journal Article

Optimized determination of airborne tetracycline resistance genes in laboratory atmosphere

Lu Song, Can Wang, Yizhu Wang

Journal Article

Airborne Wind Energy Prepares for Take Off

Peter Weiss

Journal Article

Airborne bacteria associated with particulate matter from a highly urbanised metropolis: A potential

Journal Article

Erratum to “After Highflyer Crashes, Airborne Wind Energy Regroups” [Engineering 7 (2021) 277–279]

Peter Weiss

Journal Article

A CFD study of the transport and fate of airborne droplets in a ventilated office: The role of droplet

Journal Article

Effects of heavy rainfall on the composition of airborne bacterial communities

Gwang Il Jang, Chung Yeon Hwang, Byung Cheol Cho

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