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Economic Sustainability Assessment of Groundwater Resources： Case Study of Hanoi, Vietnam

Journal of Environmental Science and Engineering(B) 2017年第12期6卷 624-633页

作者： Nuong Thi Bui Akira Kawamura Hideo Amaguchi Duong Du Bui Ngoc Tu Truong hoang nam nguyen Department of Civil and Environmental Engineering Tokyo Metropolitan University Tokyo 192-0397 Japan Water Resources Monitoring Department National Center for Water Resources Planning and Investigation Hanoi 100000 Vietnam The State Key Laboratory of Bioreactor Engineering East China University of Science & Technology Shanghai 200237 China Faculty of Urban and Environmental Natural Resource Economics & Management National Economics University Hanoi Vietnam

The most useful indicators should be established, designed and customized based on local issues of a target area. In order to establish groundwater sustainability indicators for the Vietnam capital, Hanoi, in this study, the sustainability assessment framework of groundwater resources from an economic perspective is proposed for the first time with the focus of Hanoi current groundwater problems. An AHP （Analytical Hierarchy Process） approach is employed to generate the main components （aspects and indicators） of this framework, because development of composite indicators is considered to be a best approach for sustainability evaluation. To do this, the current problems of Hanoi groundwater resources were carefully reviewed and explored to propose three main aspects （quantity, quality and management） and appropriately construct their 9 MESIs （Macroeconomic Sustainability Indicators）. As for the results, the sustainability indices of the quantity, quality and management aspects were appropriately assessed as good, excellent and good sustainability levels, respectively. As a result, the sustainability of Hanoi groundwater resources development is economically good, indicating that there has been a big effort to improve the groundwater sustainability from both sides, the local government and communities.

关键词： Groundwater MESI sustainability assessment AHP Hanoi.

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Investigating the customer trust in artificial intelligence: The role of anthropomorphism, empathy response, and interaction

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CAAI Transactions on Intelligence Technology 2023年第1期8卷 260-273页

作者： nguyen Thi Khanh Chi nam hoang Vu Foreign Trade University HanoiVietnam Faculty of International Economics Foreign Trade UniversityHanoiVietnam

Artificial intelligence(AI)applications are observed in different industries including the services,where the impressive changing pace is boosted by the technological advances in *** use of AI in the daily work of individuals and in shaping the relationship between firms and customers has resulted in increased efficiency and a higher degree of fascination in *** are,however,customers'fears related to the use of ***,understanding how AI affects customer trust is worth *** study focuses on the AI applications and their impact on communication quality and customer *** features of AI applications investigated in this study include anthropomorphism,empathy response and interaction.A model was first empirically validated through Confirmatory Factor Analysis and tested using Covariance-Based Structural Equation *** were then collected from a survey of 507 customers of two banks and two big telecommunication firms in *** results indicate that anthropomorphism and interaction do not play critical roles in generating customer trust in AI unless they create communication quality with *** ability of empathy response makes customers trust in various service *** application seems to be a good solution for service firms to enhance their relationship with customers in difficult circumstances,including a pandemic *** study delivers implications for enhancing AI adoption in the service firms that intend to innovate their future operations.

关键词： AI anthropomorphism empathy response future orientation interaction

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Novel Soft ComputingModel for Predicting Blast-Induced Ground Vibration in Open-Pit Mines Based on the Bagging and Sibling of Extra Trees Models

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Computer Modeling in Engineering & Sciences 2023年第3期134卷 2227-2246页

作者： Quang-Hieu Tran hoang nguyen Xuan-nam Bui Department of Surface Mining Mining FacultyHanoi University of Mining and GeologyHanoi100000Vietnam Innovations for Sustainable and Responsible Mining(ISRM)Research Group Hanoi University of Mining and GeologyHanoi100000Vietnam

This study considered and predicted blast-induced ground vibration(PPV)in open-pit mines using bagging and sibling techniques under the rigorous combination of machine learning ***,four machine learning algorithms,including support vector regression(SVR),extra trees(ExTree),K-nearest neighbors(KNN),and decision tree regression(DTR),were used as the base models for the purposes of combination and PPV initial *** bagging regressor(BA)was then applied to combine these base models with the efforts of variance reduction,overfitting elimination,and generating more robust predictive models,abbreviated as BA-ExTree,BAKNN,BA-SVR,and *** is emphasized that the ExTree model has not been considered for predicting blastinduced ground vibration before,and the bagging of ExTree is an innovation aiming to improve the accuracy of the inherently ExTree model,as *** addition,two empirical models(i.e.,USBM and Ambraseys)were also treated and compared with the bagging models to gain a comprehensive *** this aim,we collected 300 blasting events with different parameters at the Sin Quyen copper mine(Vietnam),and the produced PPV values were also *** were then compiled as the dataset to develop the PPV predictive *** results revealed that the bagging models provided better performance than the empirical models,except for the BA-DTR *** those,the BA-ExTree is the best model with the highest accuracy(i.e.,88.8%).Whereas,the empirical models only provided the accuracy from 73.6%–76%.The details of comparisons and assessments were also presented in this study.

关键词： Mine blasting blast-induced ground vibration environmentally friendly blasting peak particle velocity bagging extra trees

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Predicting roof displacement of roadways in underground coal mines using adaptive neuro-fuzzy inference system optimized by various physics-based optimization algorithms

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Journal of Rock Mechanics and Geotechnical Engineering 2021年第6期13卷 1452-1465页

作者： Chengyu Xie hoang nguyen Xuan-nam Bui Van-Thieu nguyen Jian Zhou School of Environment and Resources Xiangtan UniversityXiangtan411105China Mining Faculty Hanoi University of Mining and GeologyHanoi100000Viet Nam Innovations for Sustainable and Responsible Mining(ISRM)Group Hanoi University of Mining and GeologyHanoi100000Viet Nam Artificial Intelligence Independent Research Group Hanoi100000Viet Nam School of Resources and Safety Engineering Central South UniversityChangsha410083China

Due to the rapid industrialization and the development of the economy in each country,the demand for energy is increasing *** coal mines have to pace up the mining operations with large production to meet the energy *** requirement has led underground coal mines to go deeper with more difficult conditions,especially the mining hazards,such as large deformations,rockburst,coal burst,roof collapse,to name a ***,this study aims at investigating and predicting the stability of the roadways in underground coal mines exploited by longwall mining method,using various novel intelligent techniques based on physics-based optimization algorithms(***-verse optimizer(MVO),equilibrium optimizer(EO),simulated annealing(SA),and Henry gas solubility optimization(HGSO)) and adaptive neuro-fuzzy inference system(ANFIS),named as MVO-ANFIS,EO-ANFIS,SA-ANFIS and HGSOANFIS ***,162 roof displacement events were investigated based on the characteristics of surrounding rocks,such as cohesion,Young’s modulus,density,shear strength,angle of internal friction,uniaxial compressive strength,quench durability index,rock mass rating,and tensile *** MVO-ANFIS,EO-ANFIS,SA-ANFIS and HGSO-ANFIS models were then developed and evaluated based on this dataset for predicting roof displacements in roadways of underground *** results indicated that the proposed intelligent techniques could accurately predict the roof displacements in roadways of underground mines with an accuracy in the range of 83%-92%.Remarkably,the SA-ANFIS model yielded the most dominant accuracy(i.e.92%).Based on the accurate predictions from the proposed techniques,the reinforced solutions can be timely suggested to ensure the stability of roadways during exploiting coal,especially in the underground coal mines exploited by the longwall mining.

关键词： Roof displacement Longwall mining Underground mine Physics-based optimization Risk assessment Mining hazards

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Predicting rock size distribution in mine blasting using various novel soft computing models based on meta-heuristics and machine learning algorithms

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Geoscience Frontiers 2021年第3期12卷 458-472页

作者： Chengyu Xie hoang nguyen Xuan-nam Bui Yosoon Choi Jian Zhou Thao nguyen-Trang School of Environment and Resources Xiangtan UniversityXiangtan 411105China Institute of Research and Development Duy Tan UniversityDa Nang 550000Viet Nam Department of Surface Mining Mining FacultyHanoi University of Mining and Geology18 Pho VienDuc Thang wardBac Tu Liem districtHanoi 100000Viet Nam Center for Mining Electro-Mechanical researchHanoi University of Mining and Geology18 Pho VienDuc Thang wardBac Tu Liem districtHanoi 100000Viet Nam Department of Energy Resources Engineering Pukyong National UniversityBusan 48513Republic of Korea School of Resources and Safety Engineering Central South UniversityChangsha 410083HunanChina Division of Computational Mathematics and Engineering Institute for Computational ScienceTon Duc Thang UniversityHo Chi Minh City 700000Viet Nam Faculty of Mathematics and Statistics Ton Duc Thang UniversityHo Chi Minh City 700000Viet Nam

Blasting is well-known as an effective method for fragmenting or moving rock in open-pit *** evaluate the quality of blasting,the size of rock distribution is used as a critical criterion in blasting operations.A high percentage of oversized rocks generated by blasting operations can lead to economic and environmental ***,this study proposed four novel intelligent models to predict the size of rock distribution in mine blasting in order to optimize blasting parameters,as well as the efficiency of blasting operation in open ***,a nature-inspired algorithm(i.e.,firefly algorithm-FFA)and different machine learning algorithms(i.e.,gradient boosting machine(GBM),support vector machine(SVM),Gaussian process(GP),and artificial neural network(ANN))were combined for this aim,abbreviated as FFA-GBM,FFA-SVM,FFA-GP,and FFA-ANN,***,predicted results from the abovementioned models were compared with each other using three statistical indicators(e.g.,mean absolute error,root-mean-squared error,and correlation coefficient)and color intensity *** developing and simulating the size of rock in blasting operations,136 blasting events with their images were collected and analyzed by the Split-Desktop *** which,111 events were randomly selected for the development and optimization of the ***,the remaining 25 blasting events were applied to confirm the accuracy of the proposed ***,blast design parameters were regarded as input variables to predict the size of rock in blasting ***,the obtained results revealed that the FFA is a robust optimization algorithm for estimating rock fragmentation in bench *** the models developed in this study,FFA-GBM provided the highest accuracy in predicting the size of fragmented *** other techniques(i.e.,FFA-SVM,FFA-GP,and FFA-ANN)yielded lower computational stability and ***,the FFA-GBM model can be used as a powerful

关键词： Mine blasting Rock fragmentation Artificial intelligence Hybrid model Gradient boosting machine Meta-heuristic algorithm

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Blockchain for Education:Verification and Management of Lifelong Learning Data

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Computer Systems Science & Engineering 2022年第11期43卷 591-604页

作者： Ba-Lam Do Van-Thanh nguyen hoang-nam Dinh Thanh-Chung Dao BinhMinh nguyen School of Information and Communication Technology Hanoi University of Science and TechnologyHanoiVietnam

In recent years,blockchain technology has been applied in the educational domain because of its salient advantages,i.e.,transparency,decentralization,and *** systems typically use public blockchain networks such as Ethereum and Bitcoin to store learning ***,the cost of writing data on these networks is significant,making educational institutions limit data sent to the target network,typically containing only hash codes of the issued *** this paper,we present a system based on a private blockchain network for lifelong learning data authentication and management named B4E(Blockchain For Education).B4E stores not only certificates but also learners’training data such as transcripts and educational programs in order to create a complete record of the lifelong education of each user and verify certificates that they have *** a result,B4E can address two types of fake certificates,i.e.,certificates printed by unlawful organizations and certificates issued by educational institutions for learners who have not met the training *** addition,B4E is designed to allow all participants to easily deploy software packages to manage,share,and check stored information without depending on a single point of *** such,the system enhances the transparency and reliability of the stored *** experiments show that B4E meets expectations for deployment in reality.

关键词： Training data certificate verification and management private blockchain

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Fabrication and Characterization of Multi-layer Heat Mirror with Photocatalytic Properties

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Chinese Physics Letters 2009年第11期26卷 152-155页

作者： Tran Le Tuan Tran Huu Chi nguyen Dac Ngoc Son Luu Minh nam hoang Dinh Quan nguyen Department of Applied Physics College of Natural Science National University of He Chi Mirth City 227 Nguyen Van Cu District 5 Ward 4 He Chi Minh City Vietnam Department of Chemical Engineering College of Technology National University of He Chi Minh City 168 Ly Thuong Kiet District 10 Ho chi Minh City Vietnam

A novel TiO2（5）/TiO2（buffer）/Ti（4）/Ag（3）/Ti（2）/TiO2（1） multi-layer film coating with corning glass is designed and fabricated by a dc magnetron sputtering method as a renovation of the well-known TiO2/Ti/Ag/Ti/TiO2 system in order to obtain a heat mirror system with photocatalytic properties due to sufficient thickness of the Ti02 layer. The outer TiO2 layer is fabricated in two steps, possibly claimed as two layers TiO2（5） and TiO2（buuer）, among which TiO2（buffer） the 70-nm-thick layer deposited in poor oxygen effectively minimizes the oxidation toward its neighbor Ti（4） layer. The optimal total thickness of the TiO2（5） and TiO（buffer） di-layer is found to be 300nm to yield a highly photo-catalytic property of the film without affecting the optical properties considerably. This multi-layer film can transmit light of above 75-85% in the visible spectrum （380 ≤ λ≤ 760 nm） and reflect radiation of above 90% in the infrared spectrum （ λ≥760 nm）. Such multi-layer coatings are strongly recommended not only as promising transparent heat mirrors but also as photo-catalytic films for architectural window coatings.

关键词： Condensed matter: electrical magnetic and optical Surfaces interfaces and thin films Chemical physics and physical chemistry

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Cr/nanodiamond composite plating with cobalt cation additive

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中国有色金属学会会刊：英文版 2009年第4期19卷 975-978页

作者： Viet-Hue nguyen Thi-nam hoang Ngoc-Phong nguyen Sik-Chol KWON Man KIM Joo-Yul LEE Institute of Materials Science Korea Institute of Materials Science

The effect of cationic additive on Cr/nanodiamond plating was *** plating was performed in Sargent *** of deposit was observed by scanning electron microscope(SEM);microhardness by hardness tester;wear rate by tribometer;amount of diamond in deposit by combustion method and passivity by potentiodynamic *** results show that in the presence of cobalt cation,the amount of nanodiamond particle in the deposit is *** increasing diamond particle amount,the metallurgical,mechanical and electrochemical properties of Cr/nanodiamond deposit are ***,this improvement seems to be *** the presence of 10 g/L of nanodiamond powder and 2.5 g/L of cobalt cation in the bath,the amount of diamond particle in deposit is increased by 4 times;and wear rate of Cr-Co/nanodiamond deposit is decreased by 2-3 times as compared with pure Cr/*** passive current of Cr-Co/nanodiamond composite deposit is decreased from 18 to 8 μ*** morphology of Cr/nanodiamond is smooth remarkably in the presence of cobalt cation.

关键词：纳米金刚石粉复合镀层钴离子镀铬添加剂金刚石颗粒扫描电子显微镜形态观察

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Evaluation of the calibration factors of neutron dose rate meters in a 241Am–Be neutron field

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Nuclear Science and Techniques 2019年第9期30卷 18-23页

作者： Thiem Ngoc Le Sy Minh Tuan hoang Quynh Ngoc nguyen Hoai-nam Tran Institute for Nuclear Science and Technology VINATOM 179 Hoang Quoc Viet Hanoi Vietnam Institute of Fundamental and Applied Sciences Duy Tan University Ho Chi Minh City Vietnam

Calibrations were performed for three types of neutron ambient dose equivalent rate meters, i.e., Aloka TPS-451C (Hitachi), KSAR1U.06 (Baltic Scientific Instruments), and Model 12-4 (Ludlum), using a standard field of a 241Am–Be source. The measured total neutron ambient dose equivalent rates, H*(10)' tot, were analyzed to obtain the direct neutron ambient dose equivalent rates, H*(10)' dir, using the ISO 8529-2-recommended generalized- fit method, semiempirical fit method, and reducedfitting method (RFM) fit methods. The calibration factor (CF), defined as the ratio between the conventional true value of the neutron ambient dose equivalent rates in a free field, H*(10)' FF, and H*(10)' dir, was evaluated as one of the important characteristics of the neutron meters in the present work. The fitting results show that the H*(10)' dir values of the meters are in good agreement within the theoretical data within 4%. The averaged CFs of the three neutron meters were evaluated as 0:99 ± 0:01, 1:00 ± 0.03;and 0:99 ± 0:08, respectively. The largest standard uncertainty of these values was determined to be approximately 18.47%(k =1). The standard uncertainty of the CFs obtained using the RFM method was less than 4.23%(k=1), which is the smallest uncertainty among the three methods.

关键词： Neutron meter Calibration factor ^241 Am–Be source

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Green synthesis of three-dimensional magnesium ferrite/titanium dioxide/reduced graphene from Garcinia mangostana extract for crystal violet photodegradation and antibacterial activity

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Journal of Semiconductors 2023年第12期44卷 111-124页

作者： Tong hoang Lin Che Quang Cong nguyen Thanh Hoai nam hoang An nguyen Duy Hai Ton That Buu Thoi Le Nhat Binh hoang Le Minh Lam Thanh Ngan hoang Thuy Kim Ngan Du Chi Vi Ta Dang Khoa nguyen Huu Hieu VNU-HCM Key Laboratory of Chemical Engineering and Petroleum Processing(Key CEPP Lab)Ho Chi Minh City University of Technology(HCMUT)268 Ly Thuong Kiet StreetDistrict 10Ho Chi Minh CityVietnam Faculty of Chemical Engineering Ho Chi Minh City University of Technology(HCMUT)268 Ly Thuong Kiet StreetDistrict 10Ho Chi Minh CityVietnam Vietnam National University Ho Chi Minh City(VNU-HCM) Linh Trung WardThu Duc CityVietnam

In this study,three-dimensional porous magnesium ferrite/titanium dioxide/reduced graphene oxide(Mg Fe_2O_(4)-GM/TiO_(2)/rGO(MGTG))was successfully synthesized via green and hydrothermal-supported co-precipitation methods using the extract of Garcinia mangostana(***)as a reducing *** characterization results indicate the successful formation of the nano/micro Mg Fe_(2)O_(4)(MFO)and TiO_(2) on the structure of the reduced graphene oxide(rGO),which can also act as efficient support,alleviating the agglomeration of the nano/micro MFO and TiO_(2).The synergic effects of the adsorption and photodegradation activity of the material were investigated according to the removal of crystal violet(CV)under ultraviolet *** effects of catalyst dosage,CV concentration,and p H on the CV removal efficiency of the MGTG were also *** to the results,the CV photodegradation of the MGTG-200 corresponded to the pseudo-first-order kinetic *** reusability of the material after 10 cycles also showed a removal efficiency of 92%.This happened because the materials can easily be recollected using external *** addition,according to the effects of different free radicals·O_(2)^(-),h^(+),and·OH on the photodegradation process,the photocatalysis mechanism of the MGTG was also thoroughly *** antibacterial efficiency of the MGTG was also evaluated according to the inhibition of the Gram-positive bacteria strain Staphylococcus aureus(***).Concurrently,the antibacterial mechanism of the fabricated material was also *** results confirm that the prepared material can be potentially employed in a wide range of applications,including wastewater treatment and antibacterial activity.

关键词： magnesium ferrite titanium dioxide reduced graphene oxide Garcinia mangostana photodegradation antibacterial

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