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Principle and Method of Modern Agricultural Two-Dimension Optimization Engineering Experiment: A Case Study of Mu Us Sandy Land

Wang Yongsheng, Li Yuheng , Liu Yansui

Strategic Study of CAE 2019, Volume 21, Issue 2,   Pages 48-54 doi: 10.15302/J-SSCAE-2019.02.017

Abstract: Eliminating land use obstacles and improving crop living conditions are improtant for providing healthyand fertile soils for improved crop varieties.through land consolidation engineering experiments, including sandy land structuralization consolidation, cropvarieties optimized selection, and water and fertilizer precision management.

Keywords： land consolidation     modern agriculture     soil reconstruction     crop optimized selection     Mu Us Sandy Land    

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Application of fuzzy analytic hierarchy process model on determination of optimized pile-type

Lei MA, Shuilong SHEN, Jinhui ZHANG, Yang HUANG, Feng SHI

Frontiers of Structural and Civil Engineering 2010, Volume 4, Issue 2,   Pages 252-257 doi: 10.1007/s11709-010-0017-2

Abstract: Pile-type selection is a very important stage of foundation design, and there are many field factorsinfluencing the decision of pile-type selection.The results show that fuzzy AHP approach is an easy and efficient way for pile-type selection.

Keywords： pile type     fuzzy synthetic evaluation     analytic hierarchy process (AHP)     optimal selection    

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concentration of gluconic acid from an integrated fermentation and membrane process using response surface optimized

Parimal Pal, Ramesh Kumar, Subhamay Banerjee

Frontiers of Chemical Science and Engineering 2019, Volume 13, Issue 1,   Pages 152-163 doi: 10.1007/s11705-018-1721-z

Abstract: A response surface method was used to optimize the purification and concentration of gluconic acid from fermentation broth using an integrated membrane system. was used for the bioconversion of the glucose in sugarcane juice to gluconic acid (concentration 45 g?L ) with a yield of 0.9 g?g . The optimum operating conditions, such as trans-membrane pressure (TMP), pH, cross-flow rate (CFR) and initial gluconic acid concentration, were determined using response surface methodology. Five different types of polyamide nanofiltration membranes were screened and the best performing one was then used for downstream purification of gluconic acid in a flat sheet cross-flow membrane module. Under the optimum conditions (TMP= 12 bar and CFR= 400 L?h ), this membrane retained more than 85% of the unconverted glucose from the fermentation broth and had a gluconic acid permeation rate of 88% with a flux of 161 L?m ?h . Using response surface methods to optimize this green nanofiltration process is an effective way of controlling the production of gluconic acid so that an efficient separation with high flux is obtained.

Keywords： gluconic acid     optimized nanofiltration     green processing     process intensification    

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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

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Dynamic simulation based optimized design method of concrete production system for RCC dam

ZHAO Chunju, ZHOU Yihong

Frontiers of Structural and Civil Engineering 2007, Volume 1, Issue 4,   Pages 405-410 doi: 10.1007/s11709-007-0055-6

Abstract: The construction system of roller compacted concrete (RCC) dam is running according to a series of connected procedures which are highly impacted and interacted consisting with the resource level. Therefore, a dynamic simulation mode

Keywords： interacted     dynamic simulation     construction     resource     RCC    

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Review on ranking and selection: A new perspective

L. Jeff HONG, Weiwei FAN, Jun LUO

Frontiers of Engineering Management 2021, Volume 8, Issue 3,   Pages 321-343 doi: 10.1007/s42524-021-0152-6

Abstract: In this paper, we briefly review the development of ranking and selection (R&S) in the past 70 years,

Keywords： ranking and selection     hypothesis testing     dynamic programming     simulation    

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Control mode selection for modal control of long-span arch bridge

Zhengying LI, Zhengliang LI,

Frontiers of Structural and Civil Engineering 2009, Volume 3, Issue 4,   Pages 401-406 doi: 10.1007/s11709-009-0052-z

Abstract: As for the critical mode selection, an approach based on the maximum modal displacement was presented

Keywords： selection     reduced-order     excitation     long-span     simplified    

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LINKING CROP WATER PRODUCTIVITY TO SOIL PHYSICAL, CHEMICAL AND MICROBIAL PROPERTIES

Frontiers of Agricultural Science and Engineering 2021, Volume 8, Issue 4,   Pages 545-558 doi: 10.15302/J-FASE -2020349

Abstract: in the world, the increasing competition for water resources has led to an urgent need in increasing cropAs the medium for crop growth, soils and their properties are important in affecting crop water productivityThis review examines the effects of soil physical, chemical, and microbial properties on crop water productivity

Keywords： crop water productivity     crop yield     soil chemical properties     soil microbial properties     soil physical    

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IMPACTS OF CLIMATE CHANGE ON CROP PRODUCTION, PESTS AND PATHOGENS OF WHEAT AND RICE

Frontiers of Agricultural Science and Engineering 2022, Volume 9, Issue 1,   Pages 4-18 doi: 10.15302/J-FASE-2021432

Abstract: First, the direct effects of climate change on crop growth, yield formation, and geographic distribution
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INTEGRATING CROP AND LIVESTOCK PRODUCTION SYSTEMS—TOWARDS AGRICULTURAL GREEN DEVELOPMENT

Frontiers of Agricultural Science and Engineering 2021, Volume 8, Issue 1,

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the terrain adaptability of a multirobot cooperative transportation system via novel connectors and optimized

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 3, doi: 10.1007/s11465-023-0754-2

Abstract: Given limited terrain adaptability, most existing multirobot cooperative transportation systems (MRCTSs) mainly work on flat pavements, restricting their outdoor applications. The connectors’ finite deformation capability and the control strategies’ limitations are primarily responsible for this phenomenon. This study proposes a novel MRCTS based on tracked mobile robots (TMRs) to improve terrain adaptability and expand the application scenarios of MRCTSs. In structure design, we develop a novel 6-degree-of-freedom passive adaptive connector to link multiple TMRs and the transported object (the communal payload). In addition, the connector is set with sensors to measure the position and orientation of the robot with respect to the object for feedback control. In the control strategy, we present a virtual leader–physical follower collaborative paradigm. The leader robot is imaginary to describe the movement of the entire system and manage the follower robots. All the TMRs in the system act as follower robots to transport the object cooperatively. Having divided the whole control structure into the leader robot level and the follower robot level, we convert the motion control of the two kinds of robots to trajectory tracking control problems and propose a novel double closed-loop kinematics control framework. Furthermore, a control law satisfying saturation constraints is derived to ensure transportation stability. An adaptive control algorithm processes the wheelbase uncertainty of the TMR. Finally, we develop a prototype of the TMR-based MRCTS for experiments. In the trajectory tracking experiment, the developed MRCTS with the proposed control scheme can converge to the reference trajectory in the presence of initial tracking errors in a finite time. In the outdoor experiment, the proposed MRCTS consisting of four TMRs can successfully transport a payload weighing 60 kg on an uneven road with the single TMR’s maximum load limited to 15 kg. The experimental results demonstrate the effectiveness of the structural design and control strategies of the TMR-based MRCTS.

Keywords： multirobot system     cooperative transportation     terrain adaptability     trajectory tracking     collaborative paradigm     uneven road    

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RESEARCH AND APPLICATION OF CROP PEST MONITORING AND EARLY WARNING TECHNOLOGY IN CHINA

Frontiers of Agricultural Science and Engineering 2022, Volume 9, Issue 1,   Pages 19-36 doi: 10.15302/J-FASE-2021411

Abstract: ., fall armyworm), decreasing agricultural biodiversity, and other factors, a wide range of crop pestthe world’s largest country in terms of agricultural production, one of the primary victims of cropNevertheless, the use of science and technology in monitoring and early warning of major crop pests providesthe purpose of presenting the Chinese model as an example of how to promote regional management of crop

Keywords： China / law / early warning system and national crop pest monitoring / pest management / regulation and    

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A novel hybrid model for water quality prediction based on VMD and IGOA optimized for LSTM

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 7, doi: 10.1007/s11783-023-1688-y

Abstract:

● A novel VMD-IGOA-LSTM model has proposed for the prediction of water quality.

Keywords： Water quality prediction     Grasshopper optimization algorithm     Variational mode decomposition     Long short-term memory neural network    

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Uncertain and multi-objective programming models for crop planting structure optimization

Mo LI,Ping GUO,Liudong ZHANG,Chenglong ZHANG

Frontiers of Agricultural Science and Engineering 2016, Volume 3, Issue 1,   Pages 34-45 doi: 10.15302/J-FASE-2016084

Abstract: Crop planting structure optimization is a significant way to increase agricultural economic benefitsresources and environmental aspects, have led to the necessity of developing optimization models for cropIn this study, three single-objective programming models under uncertainty for crop planting structureIn addition, a multi-objective fractional programming model for crop structure optimization was alsowith the numerator representing maximum economic benefits and the denominator representing minimum crop

Keywords： crop planting structure     optimization model     uncertainty     multi-objective    

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Water quality soft-sensor prediction in anaerobic process using deep neural network optimized by Tree-structured

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 6, doi: 10.1007/s11783-023-1667-3

Abstract:

● Hybrid deep-learning model is proposed for water quality prediction.

Keywords： Water quality prediction     Soft-sensor     Anaerobic process     Tree-structured Parzen Estimator    

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Title Author Date Type Operation

Principle and Method of Modern Agricultural Two-Dimension Optimization Engineering Experiment: A Case Study of Mu Us Sandy Land

Wang Yongsheng, Li Yuheng , Liu Yansui

Journal Article

Application of fuzzy analytic hierarchy process model on determination of optimized pile-type

Lei MA, Shuilong SHEN, Jinhui ZHANG, Yang HUANG, Feng SHI

Journal Article

concentration of gluconic acid from an integrated fermentation and membrane process using response surface optimized

Parimal Pal, Ramesh Kumar, Subhamay Banerjee

Journal Article

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

Lu Song, Can Wang, Yizhu Wang

Journal Article

Dynamic simulation based optimized design method of concrete production system for RCC dam

ZHAO Chunju, ZHOU Yihong

Journal Article

Review on ranking and selection: A new perspective

L. Jeff HONG, Weiwei FAN, Jun LUO

Journal Article

Control mode selection for modal control of long-span arch bridge

Zhengying LI, Zhengliang LI,

Journal Article

LINKING CROP WATER PRODUCTIVITY TO SOIL PHYSICAL, CHEMICAL AND MICROBIAL PROPERTIES

Journal Article

IMPACTS OF CLIMATE CHANGE ON CROP PRODUCTION, PESTS AND PATHOGENS OF WHEAT AND RICE

Journal Article

INTEGRATING CROP AND LIVESTOCK PRODUCTION SYSTEMS—TOWARDS AGRICULTURAL GREEN DEVELOPMENT

Journal Article

the terrain adaptability of a multirobot cooperative transportation system via novel connectors and optimized

Journal Article

RESEARCH AND APPLICATION OF CROP PEST MONITORING AND EARLY WARNING TECHNOLOGY IN CHINA

Journal Article

A novel hybrid model for water quality prediction based on VMD and IGOA optimized for LSTM

Journal Article

Uncertain and multi-objective programming models for crop planting structure optimization

Mo LI,Ping GUO,Liudong ZHANG,Chenglong ZHANG

Journal Article

Water quality soft-sensor prediction in anaerobic process using deep neural network optimized by Tree-structured

Journal Article