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Key factors affecting people's willingness to participate in water resource protection in the agricultural Ba River Basin – in the highlands of Vietnam

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Journal of Water and Climate Change 2025年第4期16卷 1225-1237页

作者： Anh, Nguyen Tuan Can, Le Duy Schmalz, Britta Luu, Tran Le Doctoral Training Program in Sustainable Urban Development Vietnamese-German University Vanh Dai 4 Quarter 4Binh Duong Province Ben Cat Viet Nam Nong Lam University of Ho Chi Minh City Gia Lai Campus Gia Lai Viet Nam Department of Mechatronics and Sensor Systems Technology Vietnamese-German University Vanh Dai 4 Quarter 4 Thoi Hoa Ward Binh Duong Province Ben Cat Viet Nam Engineering Hydrology and Water Management Technical University of Darmstadt Darmstadt Germany Master Program in Water Technology Reuse and Management Vietnamese-German University Vanh Dai 4 Quarter 4 Thoi Hoa Ward Binh Duong Province Ben Cat Viet Nam

Willingness to participate (WP) in community-based management depends on various factors such as a sense of community, perceptions, beliefs, and demographic characteristics. This study first evaluates the WP of locals (n = 100) in water management in the Ba River Basin – Highlands of Vietnam, where ethnic minority groups are living and working in the agricultural sector. The multivariable linear regression model is applied to explain WP through the factors including the sense of community (SC), dependance on river water (DW), perceptions of current water resource management (PW), level of income (IN), gender (GE), education levels (ED), and place of residence (PR). The results showed that the final regression model explains 67.9% of the variation in WP levels (R2 = 0.679, p 0.05) in this model. Sense of community and perceptions greatly influence community participation. To boost willingness, periodic training and campaigns are needed. Additionally, improving legal frameworks can encourage greater community involvement in water management programs. © 2025 The Authors.

关键词： Multiple linear regression

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A new adaptive hybrid pid controller for severe disturbance of bus suspension featuring smart damper 2nd

A new adaptive hybrid pid controller for severe disturbance ...

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2nd Annual International Conference on Material, Machines and Methods for Sustainable Development, MMMS 2020

作者： Do, Xuan Phu Department of Mechatronics and Sensor Systems Technology Vietnamese-German University Thu Dau Mot City Binh Duong Viet Nam

ISBN: (纸本)9783030696092

A new proposed control based on the modified Riccati-like equation is developed in this study. The interval type 2 fuzzy model is applied and embedded in the controller for control the uncertainty and also support for calculation progress of the proposed control. To design of the control, the first sliding surface based on the conventional model is established and its elements using for combine with the other elements of the Riccati-like equation. The robustness control is designed including three components of PID control and matrices of the traditional model of Riccati equation. Model of the proposed control is evaluated by applying to the bus suspension system. In the suspension, a magneto-rheological (MR in short) damper with its stiffness following the variation of applied current is used. The main input control is applied to change the value of the applied current. Belong to the magnitude of vibration, the current is also changed. The results of simulation of the proposed control are shown that the proposed control is better for control real system. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2021.

关键词： H-infinity technique Interval type 2 fuzzy control Hybrid control Magneto-rheological (MR) damper PID control Suspension control Vibration control

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Machine learning in design of optimization of mr actuators: A new view of solution 2nd

Machine learning in design of optimization of mr actuators: ...

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2nd Annual International Conference on Material, Machines and Methods for Sustainable Development, MMMS 2020

作者： Do, Xuan Phu Department of Mechatronics and Sensor Systems Technology Vietnamese-German University Thu Dau Mot city Binh Duong Viet Nam

ISBN: (纸本)9783030696092

In this study, a new progress of optimization of smart structure is carried out. The application of machine learning through neural networks brings a new view in design. The data using for optimization is collected from the simulation results, the real values of the closed structure with the proposed model. The combination of these data and the outstanding property of the neural networks helps improve the obtained variables, and then performance of the proposed structure is also improved. The proposed structure is built based on cantilever beam model. Smart material is covered outside of the beam based on magnetorheological elastomer (MRE in short). This model is used for evaluate the performance of the neural networks in optimization. Results of the progress show that this method can use in case of no specialize software, and satisfy the initial requirements. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2021.

关键词： Actuator Block-up phenomenon Machine learning Magneto-rheological elastomer (MRE) Neural networks optimization Valve optimization

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Green Synthesis of RuO2 Electrode for Electrochemical Water Treatment

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Journal of Environmental Science and Engineering(B) 2016年第7期5卷 335-341页

作者： Tran Le Luu Department of Mechatronics & Sensor Systems Technology Vietnamese German University Binh Duong Province Vietnam

Nowadays, the electrochemical water treatments are very important methods used for the removal of organic and inorganic impurities from fresh, drinking water and wastewater. The method consists of carrying out the oxidation reaction at the anode where pollutants are transferred into non-toxic substances, by decomposing into simpler compounds or transferring into oxidation form. RuO2-based Dimensional Stable Anode （DSA） is a technologically good and important electrode for water treatment because of its unique characteristics such as high thermal and chemical stability, low resistivity and low overpotential. This paper reviews the methods for fabricating RuO2-based electrodes that can be used in electrochemical water treatment. Depending on the different fabrication routes, RuO2 electrodes will possess the different electro-catalytic property and stability.

关键词： Electrocatalytic DSA RuO2 water treatment.

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A New Novel of Prescribed Optimal Control and Its Application for Smart Damping System

A New Novel of Prescribed Optimal Control and Its Applicatio...

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2023 International Conference on System Science and Engineering, ICSSE 2023

作者： Do, Xuan Phu Phan, Thi Truc Thao Nguyen, Khang H. V. Vietnamese German University Mechatronics and Sensor Systems Technology Binh Duong Viet Nam Ho Chi Minh City Industry and Trade College Department of Mechanical Engineering Thu Duc Viet Nam

ISBN: (纸本)9798350322941

This study presents a new development of optimal control based on the prescribed performance model. The prescribed performance is analyzed following the boundaries of the system. The classical optimal control model is modified based on the Riccati-like equation for the upper and lower boundary functions of the prescribed model. To robust the proposed model, the new modifications of the Kalman function are suggested and then embedded in the optimal model. After formulating, the proposed control is applied in the smart suspension system under severe disturbance. The simulation results show that the proposed controller obtains the outstanding properties in control and guarantees the stability of the system © 2023 IEEE.

关键词： Damping

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A new design of variable stiffness mechanism based on variation of magnetic of magnetorheological elastomer 2nd

A new design of variable stiffness mechanism based on variat...

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2nd Annual International Conference on Material, Machines and Methods for Sustainable Development, MMMS 2020

作者： Do, Xuan Phu Duc, Thinh Nguyen Department of Mechatronics and Sensor Systems Technology Vietnamese-German University Thu Dau Mot City Binh Duong Viet Nam Electrical Engineering and Information Technology Vietnamese-German University Thu Dau Mot city Binh Duong Viet Nam

ISBN: (纸本)9783030696092

In this study, a new design of variable stiffness mechanism based on magnetorheological elastomer is proposed. The variation of magnetic from the permanent magnet is formulated as main input for the proposed mechanism. Principle of the magnetic through the permanent magnet is applied for the design. The applied force for the mechanism is also find based on relation of vibration and the magnetic field of permanent magnet. In addition, the arrangement of MR elastomer blocks is suggested to find optimized shape for improve performance of the mechanism. The results of simulation show that the control of magnetic field with new calculation can improve and remain the stable of mechanism under severe vibration. This is also open a new direction for design of sensor in the future. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2021.

关键词： Actuator Block-up phenomenon Machine learning Magneto-rheological elastomer (MRE) Neural networks optimization Valve optimization

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Treatment of cake shop wastewater by pilot-scale Submerged Membrane Bioreactor (SMBR)

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Bioresource technology Reports 2018年 4卷 101-105页

作者： Phuong, Nguyen Thi Thanh Tien, Tran Tan Hoa, Pham Thi Thanh Van Nam, Thai Le Luu, Tran Institute of Environment and Natural Resources – Vietnam National University Ho Chi Minh City Viet Nam Department of Mechatronics and Sensor Systems Technology Vietnamese German University Binh Duong Viet Nam Faculty of Biotechnology & Environment Engineering HCMC University of Food Industry HCMC Viet Nam Faculty of Bio-Food Technology and Environment University of Technology Ho Chi Minh City Viet Nam

In this work, the treatment of cake shop wastewater using Submerged Membrane Bioreactor (SMBR) on pilot-scale has been studied. The commercial hollow fiber membrane was used with a total surface area of 0.609 m2. The experiment was set up with three different conditions as follows: model 1 - the SMBR system used suspended activated sludge;model 2 – the SMBR system was combined with the substrate inside;model 3 – the SMBR system was added with PAC (Poly Aluminium Chloride) excluding substrate. Effects of organic loading rates (OLR) were investigated to assess the performance of each model. The results showed that the optimal OLR of model 1 achieved at 11 kgCOD/*** and COD, TN, TP removal efficiencies were 97.93%, 71.04% and 79.04%, respectively. The optimal OLR of model 2 was 13.3 kgCOD/*** and the COD, TN, TP removal efficiencies were 98.04%, 82.35% and 84.59%, respectively. 11 kgCOD/*** was optimal OLR for model 3 with COD, TN, TP removal efficiencies 98.10%, 73.35% and 84.70%, respectively. Trans-membrane pressure (TMP) of the whole operation was in range of 20 to 55.5 CmHg and flux values were observed in the range of 35.86 to 333.24 L/m2.h. Depending on discharge requirements, an approximate processing model for cake shop wastewater treatment is chosen. © 2018 Elsevier Ltd

关键词： Wastewater treatment

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Iron-based subsurface arsenic removal by aeration (SAR) – results of a pilot-scale plant in Vietnam 7th

Iron-based subsurface arsenic removal by aeration (SAR) – r...

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7th International Congress and Exhibition Arsenic in the Environment, 2018

作者： Luong, V.T. Cañas Kurz, E.E. Hellriegel, U. Tran, L.L. Hoinkis, J. Bundschuh, J. Faculty of Health Engineering and Sciences University of Southern Queensland ToowoombaQLD Australia Department of Mechatronics and Sensor Systems Technology Vietnamese-German University Binh Duong Province Viet Nam Center of Applied Research Karlsruhe University of Applied Sciences Karlsruhe Germany

ISBN: (纸本)9781138486096

Arsenic contamination in groundwater is a critical issue and one that causes great concern around the world with many negative health impacts on the human body. In-situ subsurface arsenic immobilization by aeration has shown to be a promising, convenient technology with high treatment efficiency. In contrast to most of other As-remediation technologies, in-situ subsurface immobilization offers the advantage of negligible waste production and hence has the potential of being a long-term, sustainable treatment option. A pilot scale plant (capacity = 2 m3 d−1) for the subsurface arsenic removal (SAR) was tested in the Mekong Delta region in South Vietnam. Within the first two weeks of operation the initial concentrations of 81 ± 14 µgAs L−1 were successfully lowered to below the guideline value limit for drinking water recommended by the WHO of 10 µg L−1. Results indicated adsorption and co-precipitation with iron oxides as the principal mechanism responsible for the arsenic removal. Evaluation of the results demonstrates the feasibility of in-situ technology for arsenic mitigation. However, difficulties in manganese removal arose due to existing high ammonia concentrations and natural occurring geochemical reducing conditions. © 2018, CRC Press/Balkema. All rights reserved.

关键词： Potable water

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Arsenic removal from groundwater by capacitive deionization (CDI): Findings of laboratory studies with model water 7th

Arsenic removal from groundwater by capacitive deionization ...

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7th International Congress and Exhibition Arsenic in the Environment, 2018

作者： Cañas Kurz, E.E. Luong, V.T. Hellriegel, U. Hoinkis, J. Bundschuh, J. Center of Applied Research Karlsruhe University of Applied Sciences Karlsruhe Germany Faculty of Health Engineering and Sciences University of Southern Queensland ToowoombaQLD Australia Department of Mechatronics and Sensor Systems Technology Vietnamese-German University Binh Duong Province Viet Nam

ISBN: (纸本)9781138486096

The water supply of many countries in Southeast Asia has significant water problems and it is being affected, amongst others, by both high salinity and high arsenic concentrations in groundwater. This study presents an overview of a laboratory study using a lab-scale membrane capacitive deionization (MCDI) unit and arsenic-spiked model water. CDI is a novel technology for the electro-chemical desalination of brackish water with low energy consumption. In addition, removal performance of co-ions (NH+4;Mn2+) typically found in groundwater in the region, and that have a negative influence on other conventional arsenic removal technologies, were also studied with increasing concentrations of NaCl (0–2.0 g L−1). Results show a high dependency of the removal efficiency of selected ions on the TDS concentration, resulting in lower adsorption rates for substances in µg-range such as arsenic. © 2018, CRC Press/Balkema. All rights reserved.

关键词： Arsenic

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Applications of Hybrid Conditional Planning in Service Robotics

Applications of Hybrid Conditional Planning in Service Robot...

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International Conference on Robotics and Artificial Intelligence (ICRAI)

作者： Ahmed Nouman Muhammad Khurram Saleem Centre for Applied Autonomous Sensor Systems (AASS) Örebro University Örebro Sweden Mechatronics Engineering Department University of Engineering & Technology Taxila Pakistan

Hybrid planning computes task plans in full observability (a sequence of possible actuation actions) via the integration of low-level feasibility checks in classical planning approaches. Conditional planning extends the classical planning framework to account for plans under partial observability. We use a hybrid conditional planning approach to compute plans that include sensing and actuation actions in solving real-world problems by addressing uncertainties due to incomplete information at the planning phase. We generate a hybrid conditional plan of actions using parallel instances of a non-monotonic hybrid HCPLAN that supports defaults, integration of external computations, and non-deterministic actions. We show our hybrid conditional planning framework's HCPLAN applicability through service robotics scenarios with manipulation and navigation tasks. Furthermore, we evaluate the effect of parallel threads on the computation of hybrid conditional framework on different benchmark scenarios for the service robotics domains.

关键词： Uncertainty Service robots Navigation Knowledge based systems Robot sensing systems Hybrid power systems Planning

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