检索结果-南通市图书馆

Predicting soil erosion hazard in Lattakia Governorate(W Syria)

International Journal of Sediment Research 2021年第2期36卷 207-220页

作者： Mohammed Safwan Khallouf Alaa Alshiehabi Omran Bao Pham Quoc Thi Thuy Linh Nguyen Nam Thai Van tran anh duong Harsányi Endre Institution of Land Utilization Technology and Regional Planning Faculty of Agricultural and Food Sciences and Environmental Management University of Debrecen Administration of Natural Resources Management General Commission for Scientific Agricultural Research (GCSAR) 3. Department of Soil Sciences and Land Reclamation Faculty of Agriculture Al-Baath University Department of Soil and Environment Swedish University of Agricultural Sciences (SLU) Institute of Research and Development Duy Tan University Faculty of Environmental and Chemical Engineering Duy Tan University Faculty of Water Resource Engineering Thuyloi University Ho Chi Minh City University of Technology (HUTECH) Sustainable Management of Natural Resources and Environment Research Group Faculty of Environment and Labour Safety Ton Duc Thang University

The main objective of this study is to predict soil erosion in the Lattakia Governorate(W Syria) using the Water Erosion Prediction Project model(WEPP) and to compare the result with that of the RUSLE. Field survey and data collection were carried out, and 44 soil samples were analyzed. In addition, all the necessary input files were prepared for use in the WEPP model and RUSLE. Results show that more than of 80% of the locations studied experience slight to moderate erosion(less than 5 t/ha/y), whereas the rest of the locations experience severe soil erosion hazard. Moreover, the volume of runoff estimated by the WEPP model is in the range of 51 e321 mm, and the R~2 between the simulated soil erosion and the predicted runoff reached 0.68. Interestingly, the R~2 between the WEPP model and RUSLE is 0.56, which indicates a good correlation between the two models.

关键词： Soil erosion Run-off WEPP RUSLE Syria

来源：

同方期刊数据库评论

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Profiling of Urban Noise Using Artificial Intelligence

引用

Computer Systems Science & Engineering 2023年第5期45卷 1309-1321页

作者： Le Quang Thao duong Duc Cuong tran Thi Tuong anh tran Duc Luong Ph.D.Faculty of Physics VNU University of ScienceHanoi100000Vietnam University of Science Vietnam National UniversityHanoi100000Vietnam The International School of Penang(Uplands) PenangMalaysia Alpha School Hanoi100000Vietnam

Noise pollution tends to receive less awareness compared to other types of pollution,however,it greatly impacts the quality of life for humans such as causing sleep disruption,stress or hearing *** urban sound through the identification of noise sources in cities could help to benefit livability by reducing exposure to noise pollution through methods such as noise control,planning of the soundscape environment,or selection of safe living *** this paper,we proposed a self-attention long short-term memory(LSTM)method that can improve sound classification compared to previous *** attention mechanism will be designed solely to capture the key section of an audio data *** is practical as we only need to process important parts of the data and can ignore the rest,making it applicable when gathering information with long-term *** dataset used is the Urbansound8k dataset which specifically pertains to urban environments and data augmentation was applied to overcome imbalanced data and dataset *** audio sources in the dataset were normalized to mono *** the dataset above,an experiment was conducted to confirm the suitability of the proposed model when applied to the mel-spectrogram and MFCC(Mel-Frequency Cepstral Coefficients)datasets transformed from the original *** the classification accuracy depends on the machine learning models as well as the input data,therefore we have evaluated different class models and extraction methods to find the best *** combining data augmentation techniques and various extraction methods,our classification model has achieved state-of-the-art performance,each class accuracy is up to 98%.

关键词： Urban noise noise classification mel-spectrogram MFCC LSTM self-attention

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Deep learning long short-term memory combined with discrete element method for porosity prediction in gravel-bed rivers

引用

International Journal of Sediment Research 2023年第1期38卷 128-140页

作者： duong tran anh Ahad Hasan Tanim Daniel Prakash Kushwaha Quoc Bao Pham Van Hieu Bui HUTECH University Center for River Harbor and Landslide Research Chittagong University of Engineering & Technology Govind Ballabh Pant University of Agriculture and Technology Institute of Applied Technology Thu Dau Mot University Faculty of Mechanical Engineering Thuyloi University

The porosity of gravel riverbed material often is an essential parameter to estimate the sediment transport rate, groundwater-river flow interaction, river ecosystem, and fluvial geomorphology. Current methods of porosity estimation are time-consuming in simulation. To evaluate the relation between porosity and grain size distribution(GSD), this study proposed a hybrid model of deep learning Long Short-Term Memory(LSTM) combined with the Discrete Element Method(DEM). The DEM is applied to model the packing pattern of gravel-bed structure and fine sediment infiltration processes in threedimensional(3D) space. The combined approaches for porosity calculation enable the porosity to be determined through real time images, fast labeling to be applied, and validation to be done. DEM outputs based on the porosity dataset were utilized to develop the deep learning LSTM model for predicting bed porosity based on the GSD. The simulation results validated with the experimental data then segregated into 800 cross sections along the vertical direction of gravel pack. Two DEM packing cases, i.e., clogging and penetration are tested to predict the porosity. The LSTM model performance measures for porosity estimation along the z-direction are the coefficient of determination(R~2), root mean squared error(RMSE), and mean absolute error(MAE) with values of 0.99, 0.01, and 0.01 respectively, which is better than the values obtained for the Clogging case which are 0.71, 0.14, and 0.03, respectively. The use of the LSTM in combination with the DEM model yields satisfactory results in a less complex gravel pack DEM setup, suggesting that it could be a viable alternative to minimize the simulation time and provide a robust tool for gravel riverbed porosity prediction. The simulated results showed that the hybrid model of the LSTM combined with the DEM is reliable and accurate in porosity prediction in gravel-bed river test samples.

关键词： Numerical modeling Discrete element method LSTM Bed porosity Gravel-bed river

来源：

同方期刊数据库评论

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Comparative analysis on the fuel consumption prediction model for bulk carriers from ship launching to current states based on sea trial data and machine learning technique

引用

Journal of Ocean Engineering and Science 2021年第4期6卷 317-339页

作者： Tien anh tran Faculty of Marine Engineering Vietnam Maritime UniversityHaiphong 180000Vietnam Marine Research Institute Vietnam Maritime UniversityHaiphong 180000Vietnam

MARPOL 73/78,Chapter IV is considered to reveal the emission control engineering on *** probability model of the fuel oil consumption is established based on the machine learning *** proposed methods are applied into this research in order to establish the probability model of fuel oil *** combination of Monte Carlo(MC)simulation method with Artificial Neural Networks(ANNs)is an optimal solution to deal the fuel consumption of marine main diesel *** sample data has been established based on the Monte Carlo simulation *** model of fuel oil consumption is designed by Artificial Neural Network *** proposed prediction model of fuel oil consumption is based on a back-propagation training algorithm of ANNs *** research results of proposed model have been verified with the actual operation data that have been collected from a certain bulk carrier of VINIC shipping transportation company in *** collected data is the actual operation parameters from the noon-log report of voyage during two years of the *** probability model of fuel oil consumption for main diesel engine is very useful in the field of ships energy efficiency management with higher accurancy than the other previous models.

关键词： Shipping transportation Fuel consumption Monte Carlo method Artificial neural network Marpol 73/78

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Investigate the energy efficiency operation model for bulk carriers based on Simulink/Matlab

引用

Journal of Ocean Engineering and Science 2019年第3期4卷 211-226页

作者： Tien anh tran Faculty of Marine Engineering Vietnam Maritime UniversityHaiphong 180000Vietnam Marine Research Institute Vietnam Maritime UniversityHaiphong 180000Vietnam

The world is facing great challenges regarding the energy crisis and environmental *** of the main challenges is the increasing number of ships with a lot of different types and *** this research,it is essential to analyze the operational energy efficiency of sea-going ships since the previous studies have concentrated on the inland river *** working is carried out by analyzing of the energy efficiency operation for large size ships such as bulk carriers,container ships,*** on the resistance characteristics of different navigation environment factors.A numerical model of main engine energy efficiency operation was considered using the energy efficiency measure of IMO(International Maritime Organization),in particular using the Energy Efficiency Operational Indicator(EEOI)as a monitoring tool in this *** EEOI numerical model was established and simulated through Simulink/Matlab and verified by the collected data from a certain vessel in *** EEOI model was simulated under the different navigation environment conditions including various engine speed,wind speed,wave height,and water *** that,the simulation results of this research will be compared with experimental database of a certain bulk carrier namely M/V NSU JUSTICE 250,000 *** results indicated that it is important to consider the main engine speed appropriately in ship operation in order to save energy onboard and reduce the greenhouse gas emission problem.

关键词： Ship energy efficiency Bulk carrier Navigation environment EEOI IMO

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

A research on the energy efficiency operational indicator EEOI calculation tool on M/V NSU JUSTICE of VINIC transportation company,Vietnam

引用

Journal of Ocean Engineering and Science 2017年第1期2卷 55-60页

作者： Tien anh tran School of Energy and Power Engineering Wuhan University or TechnologyWuhan 430063PR China Vietnam Maritime University 484 Lach TrayNgo QuyenHai PhongViet Nam

Nowadays,the development of science and technology brings the innovations and resolutions in aims with increasing the benefits and incomes for companies and ***,the development of nation’s economic associates with environmental *** the field of shipping transportation,the increasing in a number of ships operates then International Maritime Organization IMO’s regulations become gradually more tightly about the environmental ***-Energy Efficiency Operational Indicator is an operational measure tool for assessing the ship energy efficiency and CO 2 emission to the ***,the research status is about ships energy efficiency management also has the optimistic trends and more *** the world,there are a lot of ships energy efficiency researches in aim with enhancing the energy efficiency and environmental *** instance,the voyage optimization,increasing the propulsion efficiency of ships,reducing the resistances,***,in Vietnam,there are a lot of shipping transportation companies with different types of ship but the number of research about ships energy efficiency management also *** this research was carried out and applied the energy efficiency measure tool of International Maritime Organization(IMO)for assessing all ships in *** above workings were conducted by EEOI calculation tool for a certain ship with name M/V NSU JUSTICE 250,000 DWT of the VINIC Shipping transportation Company,Vietnam.

关键词： Ship energy efficiency EOI SEEMP IMO Bulk carrier

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Simulation and analysis on the ship energy efficiency operational indicator for bulk carriers by Monte Carlo simulation method

引用

International Journal of Modeling, Simulation, and Scientific Computing 2020年第4期11卷 201-223页

作者： Tien anh tran Faculty of Marine Engineering Vietnam Maritime University Haiphong 180000Vietnam Marine Research Institute Vietnam Maritime University Haiphong 180000Vietnam trantienanhvimaru@***

The ship energy efficiency management is an important topic in the field of the energy management onboard and the exhaust gases emission *** advanced model plays a vital role to improve the ship energy efficiency management when considering the variable *** establishment of the ship energy efficiency model through energy efficiency operational indicator(EEOI)index has been conducted through Monte Carlo simulation method along with using the operation data of a bulk carrier.A bulk carrier is chosen,namely,M/V NSU JUSTICE 250,000 DWT of VINIC Shipping transportation Company in *** research uses the real operational data to perform a statistical methodology which calculates the various factors used to calculate *** method is supported by Matlab program through the curve fitting *** normal distribution estimation and the kernel density estimation method are used for the parametric curve fitting and non-parametric curve fitting,*** average weather condition(wind speed and wave height)and the fouling condition of hull have been investigated and compared with the research *** validation of the proposed methods has been conducted through the study of the external factors influencing the research *** research result shows the optimal operational data for the fuel consumption at each certain *** paper is useful for the ship-owners and the ship-operators in the field of the ship energy efficiency management.

关键词： Energy efficiency of ships simulation and analysis bulk carrier Monte Carlo simulation EEOI.

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

BTEX pollution caused by motorcycles in the megacity of HoChiMinh

引用

Journal of Environmental Sciences 2013年第2期25卷 348-356页

作者： tran Thi Ngoc Lan Pham anh Minh University of Science Vietnam National University227 Nguyen Van CuHoChiMinh 70000Vietnam

Monitoring of benzene, toluene and xylenes （BTEX） was conducted along with traffic counts at 17 roadside sites in urban areas of HoChiMinh. Toluene was the most abundant substance, followed by p,m-xylenes, benzene, o-xylene and ethylbenzene. The maximum observed hour-average benzene concentration was 254 μg/m3 . Motorcycles contributed to 91% of the traffic fleet. High correlations among BTEX species, between BTEX concentrations and the volume of on-road motorcycles, and between inter-species ratios in air and in gasoline indicate the motorcycle-exhaust origin of BTEX species. Daily concentrations of benzene, toluene, ethylbenzene, p,m-xylenes and o-xylene were 56, 121, 21, 64 and 23 μg/m 3 , respectively. p,m-xylenes possess the highest ozone formation potential among the BTEX family.

关键词： air pollution benzene BTEX HoChiMinh motorcycle exhaust

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

The topology of foliations formed by the generic K-orbits of a subclass of the indecomposable MD_5-groups

引用

Science China Mathematics 2009年第2期52卷 351-360页

作者： VU Le anh HOA duong Quang Department of Mathematics and Informations University of Pedagogy Ho Chi Minh CityDistrict 5 Vietnam

The paper is a continuation of the authors' works in 2007. We consider the MD_5-foliations associated to connected and simply connected MD_5-groups such that their Lie algebras have 4-dimensional commutative derived ideals. In this study, we give a topological classification of all considered MD_5-foliations. A description of these foliations by certain fibrations or suitable actions of R2 and the Connes' C*-algebras of the foliations which come from fibrations are also given.

关键词： Lie group Lie algebra MD_5-group MD_5-algebra K-orbits foliation measured foliation

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

An Efficient Differential Evolution for Truss Sizing Optimization Using AdaBoost Classifier

引用

Computer Modeling in Engineering & Sciences 2023年第1期134卷 429-458页

作者： tran-Hieu Nguyen anh-Tuan Vu Hanoi University of Civil Engineering Hanoi100000Vietnam

Design constraints verification is the most computationally expensive task in evolutionary structural optimization due to a large number of structural analyses thatmust be *** a surrogatemodel to approximate the behavior of structures instead of the exact structural analyses is a possible solution to tackle this ***,most existing surrogate models have been designed based on regression *** paper proposes a novel method,called CaDE,which adopts a machine learning classification technique for enhancing the performance of the Differential Evolution(DE)*** proposed method is separated into two *** the first optimization stage,the original DE is implemented as usual,but all individuals produced in this phase are stored as inputs of the training *** on design constraints verification,these individuals are labeled as“safe”or“unsafe”and their labels are saved as outputs of the training *** collecting enough data,an AdaBoost model is trained to evaluate the safety state of *** model is then used in the second stage to preliminarily assess new individuals,and unpromising ones are rejected without checking design *** method reduces unnecessary structural analyses,thereby shortens the optimization *** benchmark truss sizing optimization problems are solved using the proposed method to demonstrate its *** obtained results show that the CaDE finds good optimal designs with less structural analyses in comparison with the original DE and four other DE *** reduction rate of five examples ranges from 18 to over 50%.Moreover,the proposed method is applied to a real-size transmission tower design problem to exhibit its applicability in practice.

关键词： Structural optimization machine learning surrogate model differential evolution AdaBoost classifier

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：