Search | Engineering

Subscribe Submit

Home Journals Focus Achievement Fronts About Us 中文版

Resource Type

Journal Article 346

Conference Videos 29

Conference Information 1

Year

2023 28

2022 38

2021 52

2020 36

2019 21

2018 19

2017 25

2016 14

2015 12

2014 14

2013 15

2012 16

2011 6

2010 12

2009 6

2008 9

2007 4

2006 4

2005 5

2004 4

open ︾

Keywords

agriculture 13

food security 11

China 8

modern agriculture 6

precision agriculture 5

sustainable development 5

urban rail transit 5

Agriculture Green Development 4

Africa 2

Air pollution 2

Biomass burning 2

Carbon neutrality 2

Decision making 2

Decision network 2

Environmental flow 2

Geographic information system 2

Urban flooding 2

Urban river 2

Urban water system 2

open ︾

Search scope:

排序： Display mode:

Urban agriculture as nature-based solutions: Three key strategies to tackle emerging issues on food security

Frontiers of Engineering Management Pages 736-741 doi: 10.1007/s42524-023-0262-4

Abstract: Urban agriculture as nature-based solutions: Three key strategies to tackle emerging issues on food security

Keywords： key strategies tackle Urban agriculture nature challenges

HTML PDF Collect

The nature of cancer

Frontiers of Medicine 2023, Volume 17, Issue 4, Pages 796-803 doi: 10.1007/s11684-022-0975-5

Abstract: The nature of cancer

HTML PDF Collect

Occurrence and distribution of micro- and mesoplastics in the high-latitude nature reserve, northern

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 9, doi: 10.1007/s11783-022-1534-7

Abstract:

• The first study on micro(meso)plastics (MMPs) in the Liaohe River Reserve is reported.

Keywords： Microplastics Mesoplastics Water Sediment Characteristic Risk Assessment

HTML PDF Collect

China’s Agriculture Green Development: from Concept to Actions

Frontiers of Agricultural Science and Engineering doi: 10.15302/J-FASE-2023512

Abstract: ListItem>

● A target-threshold indicator evaluation system is proposed to measure China’s agriculture

Keywords： agricultural transformation Agriculture Green Development historical trend indicator system theoretical

HTML PDF Collect

Assessment of novel nature-inspired fuzzy models for predicting long contraction scouring and related

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 3, Pages 665-681 doi: 10.1007/s11709-021-0713-0

Abstract: The scouring phenomenon is one of the major problems experienced in hydraulic engineering. In this study, an adaptive neuro-fuzzy inference system is hybridized with several evolutionary approaches, including the ant colony optimization, genetic algorithm, teaching-learning-based optimization, biogeographical-based optimization, and invasive weed optimization for estimating the long contraction scour depth. The proposed hybrid models are built using non-dimensional information collected from previous studies. The proposed hybrid intelligent models are evaluated using several statistical performance metrics and graphical presentations. Besides, the uncertainty of models, variables, and data are inspected. Based on the achieved modeling results, adaptive neuro-fuzzy inference system–biogeographic based optimization (ANFIS-BBO) provides superior prediction accuracy compared to others, with a maximum correlation coefficient (R_test = 0.923) and minimum root mean square error value (RMSE_test = 0.0193). Thus, the proposed ANFIS-BBO is a capable cost-effective method for predicting long contraction scouring, thus, contributing to the base knowledge of hydraulic structure sustainability.

Keywords： long contraction scour prediction uncertainty ANFIS model meta-heuristic algorithm

HTML PDF Collect

Discussion on the Complex Nature of Modem Engineering Systems Development

Zhao Shaokui

Strategic Study of CAE 2005, Volume 7, Issue 2, Pages 1-8

Abstract:

The paper discussed the complex nature of development research on modern complex weaponry systems,thinking to use method of systematicism (systematics) to research and deal with problems of complex nature

Keywords： engineering system complex nature reductionism systematicism (systematics)

HTML PDF Collect

Policy options for Agriculture Green Development by farmers in China

Laurence E. D. SMITH

Frontiers of Agricultural Science and Engineering 2020, Volume 7, Issue 1, Pages 90-97 doi: 10.15302/J-FASE-2019290

Abstract: Agriculture Green Development (AGD) requires a transformation in farming from high resource consumption

Keywords： agriculture environment development incentives policy regulation

HTML PDF Collect

Agriculture Front 2023

Agriculture Project Team

Engineering Fronts 2023, Volume 7, Issue 1, Pages 181-208

HTML PDF Collect

HIGHLIGHTS OF THE SPECIAL ISSUE “CARBON NEUTRALITY AND A LOW CARBON ECONOMY FOR AGRICULTURE”

Frontiers of Agricultural Science and Engineering 2023, Volume 10, Issue 2, Pages 153-154 doi: 10.15302/J-FASE-2023497

Abstract: HIGHLIGHTS OF THE SPECIAL ISSUE “CARBON NEUTRALITY AND A LOW CARBON ECONOMY FOR AGRICULTURE”

Keywords： CARBON ISSUE NEUTRALITY HIGHLIGHTS AGRICULTURE

HTML PDF Collect

Incorporation of 3-dimensional lycopodium with hydrophobic nature and interconnected nano-channels into

Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 9, Pages 1162-1182 doi: 10.1007/s11705-022-2276-6

Abstract: salt rejection of the optimized membrane was related to the presence of lycopodium with hydrophobic nature

Keywords： lycopodium hydrophobicity vacuum membrane distillation desalination

HTML PDF Collect

Highlights of special issue on ‘Agriculture in Water-Limited Areas’

Pute WU

Frontiers of Agricultural Science and Engineering 2017, Volume 4, Issue 2, Pages 123-125 doi: 10.15302/J-FASE-2017147

HTML PDF Collect

noble metal nanoparticles toward hydrodechlorination: influence of catalyst electronic structure and nature

Man ZHANG,Feng HE,Dongye ZHAO

Frontiers of Environmental Science & Engineering 2015, Volume 9, Issue 5, Pages 888-896 doi: 10.1007/s11783-015-0774-1

Abstract: In this study, stabilized Pd, Pt and Au nanoparticles were successfully prepared in aqueous phase using sodium carboxymethyl cellulose (CMC) as a capping agent. These metal nanoparticles were then tested for catalytic hydrodechlorination toward two classes of organochlorinated compounds (vinyl polychlorides including trichloroethylene (TCE), tetrachloroethylene (PCE), and alkyl polychlorides including 1,1,1-trichloroethane (1,1,1-TCA), and 1,1,1,2-tetrachloroethane (1,1,1,2-TeCA)) to determine the rate-limiting steps and to explore the reaction mechanisms. The surface area normalized reaction rate constant, , showed a systematic dependence on the electronic structure (the density of states at the Fermi level) of the metals, suggesting that adsorption of organochlorinated reactants on the metal catalyst surfaces is the rate-limiting step for catalytic hydrodechlorination. Hydrodechlorination rates of 1,1,1-TCA and 1,1,1,2-TeCA agreed with the bond strength of the first (weakest) dissociated C-Cl bond, suggesting that C-Cl bond cleavage, which is the first step for dissociative adsorption of the alkyl polychlorides, controlled the catalytic hydrodechlorination rate. However, hydrodechlorination rates of TCE and PCE correlated with the adsorption energies of their molecular (non-dissociative) adsorption on the noble metals rather than with the first C-Cl bond strength, suggesting that molecular adsorption governs the reaction rate for hydrodechlorination of the vinyl polychlorides.

Keywords： catalytic hydrodechlorination electronic structure metal nanoparticles reaction mechanisms

HTML PDF Collect

Studies on Combination Evaluation Methods Based on Nature Differenc

Chen Yantai,Chen Guohong,Li Meijuan

Strategic Study of CAE 2005, Volume 7, Issue 8, Pages 56-59

Abstract:

This paper firstly defines a group of system evaluation methods of attributes difference. Secondly, it puts forward one new combination evaluation method , in order to solve the problem of inconsistencies in the conclusions, which is caused by adopting many different single methods to evaluate the same objective. This method is used to evaluate the comprehensive competitive power of 15 cities in western China .to make the system evaluation more scientific and useful.

Keywords： evaluation methods with different nature combination evaluation re-combination

HTML PDF Collect

foamed concrete compressive strength prediction using adaptive neuro-fuzzy inference system optimized by nature-inspired

Ahmad SHARAFATI, H. NADERPOUR, Sinan Q. SALIH, E. ONYARI, Zaher Mundher YASEEN

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 1, Pages 61-79 doi: 10.1007/s11709-020-0684-6

Abstract: Concrete compressive strength prediction is an essential process for material design and sustainability. This study investigates several novel hybrid adaptive neuro-fuzzy inference system (ANFIS) evolutionary models, i.e., ANFIS–particle swarm optimization (PSO), ANFIS–ant colony, ANFIS–differential evolution (DE), and ANFIS–genetic algorithm to predict the foamed concrete compressive strength. Several concrete properties, including cement content (C), oven dry density (O), water-to-binder ratio (W), and foamed volume (F) are used as input variables. A relevant data set is obtained from open-access published experimental investigations and used to build predictive models. The performance of the proposed predictive models is evaluated based on the mean performance (MP), which is the mean value of several statistical error indices. To optimize each predictive model and its input variables, univariate (C, O, W, and F), bivariate (C–O, C–W, C–F, O–W, O–F, and W–F), trivariate (C–O–W, C–W–F, O–W–F), and four-variate (C–O–W–F) combinations of input variables are constructed for each model. The results indicate that the best predictions obtained using the univariate, bivariate, trivariate, and four-variate models are ANFIS–DE– (O) (MP= 0.96), ANFIS–PSO– (C-O) (MP= 0.88), ANFIS–DE– (O–W–F) (MP= 0.94), and ANFIS–PSO– (C–O–W–F) (MP= 0.89), respectively. ANFIS–PSO– (C–O) yielded the best accurate prediction of compressive strength with an MP value of 0.96.

Keywords： foamed concrete adaptive neuro fuzzy inference system nature-inspired algorithms prediction of compressive