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oblique load carrying capacity of batter pile groups using neural network, random forest regression and M5model tree

Tanvi SINGH, Mahesh PAL, V. K. ARORA

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 3,   Pages 674-685 doi: 10.1007/s11709-018-0505-3

Abstract: M5 model tree, random forest regression (RF) and neural network (NN) based modelling approaches wereM5 model tree provides simple linear relation which can be used for the prediction of oblique load for

Keywords： batter piles     oblique load test     neural network     M5 model tree     random forest regression     ANOVA    

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Estimation of flexible pavement structural capacity using machine learning techniques

Nader KARBALLAEEZADEH, Hosein GHASEMZADEH TEHRANI, Danial MOHAMMADZADEH SHADMEHRI, Shahaboddin SHAMSHIRBAND

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 5,   Pages 1083-1096 doi: 10.1007/s11709-020-0654-z

Abstract: In this study, three machine learning methods entitled Gaussian process regression, M5P model tree, and

Keywords： transportation infrastructure     flexible pavement     structural number prediction     Gaussian process regression     M5Pmodel tree     random forest    

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Fast and catalytic pyrolysis of xylan: Effects of temperature and M/HZSM-5 (M= Fe, Zn) catalysts on pyrolytic

Xifeng ZHU, Qiang LU, Wenzhi LI, Dong ZHANG,

Frontiers in Energy 2010, Volume 4, Issue 3,   Pages 424-429 doi: 10.1007/s11708-010-0015-z

Abstract: conducted to investigate the effects of temperature on pyrolytic products, and to reveal the effect of HZSM-5and M/HZSM-5 (M= Fe, Zn) zeolites on pyrolysis vapors.Catalytic cracking of pyrolysis vapors with HZSM-5 and M/HZSM-5 (M= Fe, Zn) catalysts significantly alteredM/HZSM-5 catalysts were more effective than HZSM-5 in reducing the oxygen-containing compounds, and therefore, they helped to produce higher contents of hydrocarbons than HZSM-5.

Keywords： xylan     fast pyrolysis     catalytic pyrolysis     Py-GC/MS     HZSM-5    

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Kd-tree and quad-tree decompositions for declustering of 2D range queries over uncertain space

Ahmet SAYAR,Süleyman EKEN,Okan ÖZTÜRK

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 2,   Pages 98-108 doi: 10.1631/FITEE.1400165

Abstract: We present a study to show the possibility of using two well-known space partitioning and indexing techniques, kd trees and quad trees, in declustering applications to increase input/output (I/O) parallelization and reduce spatial data processing times. This parallelization enables time-consuming computational geometry algorithms to be applied efficiently to big spatial data rendering and querying. The key challenge is how to balance the spatial processing load across a large number of worker nodes, given significant performance heterogeneity in nodes and processing skews in the workload.

Keywords： Kd tree     Quad tree     Space partitioning     Spatial indexing     Range queries     Query optimization    

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Deep convolutional tree-inspired network: a decision-tree-structured neural network for hierarchical

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 4,   Pages 814-828 doi: 10.1007/s11465-021-0650-6

Abstract: To address this issue, this paper explores a decision-tree-structured neural network, that is, the deepconvolutional tree-inspired network (DCTN), for the hierarchical fault diagnosis of bearings.proposed model effectively integrates the advantages of convolutional neural network (CNN) and decision treeoutput decision layer of CNN according to the hierarchical structural characteristics of the decision tree

Keywords： cross-severity fault diagnosis     hierarchical fault diagnosis     convolutional neural network     decision tree    

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Core designing of a new type of TVS-2M FAs: neutronics and thermal-hydraulics design basis limits

Saeed GHAEMI, Farshad FAGHIHI

Frontiers in Energy 2021, Volume 15, Issue 1,   Pages 256-278 doi: 10.1007/s11708-018-0583-x

Abstract: It is an independent study on the Russian new proposed FAs, called TVS-2M, which would be applied forThe TVS-2M FA contains gadolinium-oxide which is mixed with UO (for different Gd densities and U-235The new type TVS-2M Fas are modeled by the SARCS software package to find the PMAXS format for threeIn addition, the WIMS-D5 code is suggested for steady core modeling including TVS-2M FAs and/or TVS FAscorresponds to 1.18 MW d/kgU increase of burn-up) is the best improving aim of the new FA type called TVS-2M.

Keywords： TVS-2M FAs     core design basis limits     VVER-1000     analysis     mixture of uranium-gadolinium oxides fuels     thermal-hydraulics     PARCS     WIMS-D5    

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The strategy on the Tree Paeony ) Oil Industry in China

Li Yucai

Strategic Study of CAE 2014, Volume 16, Issue 10,   Pages 58-63

Abstract:

the seed of tree paeony native to china could be squeezed oil with highIt is very important to develop the tree paeony oil industry for the safety of Chinese food oil production

Keywords： Oil tree paeony     Tree oil plant     Engineering     Strategics    

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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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High-Efficiency Circularly Polarized Phased Array Based on 5 μm-Thick Nematic Liquid Crystals: Design Article

Xin Yu Wu,Fengshuo Wan,Hongyuan Feng,Shichao Jin,Chong Guo,Yu Wei,Dunge Liu,Yuqian Yang,Longzhu Cai,Zhi Hao Jiang,Wei Hong

Engineering 2024, Volume 32, Issue 1,   Pages 70-82 doi: 10.1016/j.eng.2023.08.013

Abstract: of 78.3°·dB−1 based on a liquid crystal layer with a thickness of only 5μm.

Keywords： Circularly polarized     Liquid crystal     Liquid-crystal-based phased array (LCPA)     Phase shifter     Over-the-air (OTA) calibration    

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Heuristic solution using decision tree model for enhanced XML schema matching of bridge structural calculation

Sang I. PARK, Sang-Ho LEE

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 6,   Pages 1403-1417 doi: 10.1007/s11709-020-0666-8

Abstract: optimal weight factors used in the matching process to maintain a high accuracy by introducing a decision treeThe decision tree model was built using the content elements stored in the SCD, design companies, bridgeThe inverse-calculation method was applied to extract the weight factors from the decision tree model

Keywords： structural calculation document     bridge structure     XML Schema matching     weight factor     data mining     decision tree    

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An innovative model for predicting the displacement and rotation of column-tree moment connection under

Mohammad Ali NAGHSH, Aydin SHISHEGARAN, Behnam KARAMI, Timon RABCZUK, Arshia SHISHEGARAN, Hamed TAGHAVIZADEH, Mehdi MORADI

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 1,   Pages 194-212 doi: 10.1007/s11709-020-0688-2

Abstract: this study, we carried out nonlinear finite element simulations to predict the performance of a column-treeEmploying the Taguchi method for variables 2–5 and their levels, 9 samples were designed for the parameter

Keywords： column-tree moment connection     Finite element model     parametric study     fire     regression models     gene expression    

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Salt-assisted synthesis of tree-like oriented SnO

Jinquan SUN, Zifeng YAN, Hongzhi CUI

Frontiers of Chemical Science and Engineering 2011, Volume 5, Issue 2,   Pages 227-230 doi: 10.1007/s11705-010-0566-x

Abstract: Tree-like SnO nanodendrites in large amounts have been prepared through two-step reactions.The nanoparticles used as the precursors have taken aggregation forming tree-like or string of nanodendrtieThere are different morphologies between tree-like SnO nanowhiskers and bunch of SnO nanorods.

Keywords： crystal morphology     nano-structures     nanodendrite    

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The secondary laticifer differentiation in rubber tree is induced by trichostatin A, an inhibitor of

Shixin ZHANG,Shaohua WU,Weimin TIAN

Frontiers of Agricultural Science and Engineering 2016, Volume 3, Issue 4,   Pages 357-362 doi: 10.15302/J-FASE-2016125

Abstract: The secondary laticifer, a specific tissue in the secondary phloem of rubber tree, is differentiatedThe number of the secondary laticifer in the trunk bark of rubber tree is positively correlated withsuggest that histone acetylation is essential for the secondary laticifer differentiation in rubber tree

Keywords： Hevea brasiliensis     histone acetylation     laticifer differentiation     trichostatin     vascular cambia    

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A cooperative heterogeneous vehicular clustering framework for efficiency improvement Research Articles

Iftikhar Ahmad, Rafidah Md Noor, Zaheed Ahmed, Umm-e-Habiba, Naveed Akram, Fausto Pedro García Márquez

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 9,   Pages 1247-1259 doi: 10.1631/FITEE.2000260

Abstract: Heterogeneous ing integrates multiple types of communication networks to work efficiently for various vehicular applications. One popular form of heterogeneous network is the integration of long-term evolution (LTE) and dedicated short-range communication. The of such a network infrastructure and the non- involved in sharing cost/data are potential problems to solve. A ing framework is one solution to these problems, but the framework should be formally verified and validated before being deployed in the real world. To solve these issues, first, we present a heterogeneous framework, named destination and interest-aware clustering, for ing that integrates vehicular ad hoc networks with the LTE network for improving road traffic efficiency. Then, we specify a model system of the proposed framework. The model is formally verified to evaluate its performance at the functional level using a model checking technique. To evaluate the performance of the proposed framework at the micro-level, a heterogeneous simulation environment is created by integrating state-of-the-art tools. The comparison of the simulation results with those of other known approaches shows that our proposed framework performs better.

Keywords： 车辆集群；异构性；协同；形式验证；系统模型    

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variations in leaf capturing of particulate matter, surface wettability and micromorphology in urban tree

Huixia WANG, Hui SHI, Yangyang LI, Ya YU, Jun ZHANG

Frontiers of Environmental Science & Engineering 2013, Volume 7, Issue 4,   Pages 579-588 doi: 10.1007/s11783-013-0524-1

Abstract: changes in leaf particulate matter (PM) accumulation, surface wettability and micromorphology in urban tree

Keywords： contact angle     particulate matter     retention amount    

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Title Author Date Type Operation

oblique load carrying capacity of batter pile groups using neural network, random forest regression and M5model tree

Tanvi SINGH, Mahesh PAL, V. K. ARORA

Journal Article

Estimation of flexible pavement structural capacity using machine learning techniques

Nader KARBALLAEEZADEH, Hosein GHASEMZADEH TEHRANI, Danial MOHAMMADZADEH SHADMEHRI, Shahaboddin SHAMSHIRBAND

Journal Article

Fast and catalytic pyrolysis of xylan: Effects of temperature and M/HZSM-5 (M= Fe, Zn) catalysts on pyrolytic

Xifeng ZHU, Qiang LU, Wenzhi LI, Dong ZHANG,

Journal Article

Kd-tree and quad-tree decompositions for declustering of 2D range queries over uncertain space

Ahmet SAYAR,Süleyman EKEN,Okan ÖZTÜRK

Journal Article

Deep convolutional tree-inspired network: a decision-tree-structured neural network for hierarchical

Journal Article

Core designing of a new type of TVS-2M FAs: neutronics and thermal-hydraulics design basis limits

Saeed GHAEMI, Farshad FAGHIHI

Journal Article

The strategy on the Tree Paeony ) Oil Industry in China

Li Yucai

Journal Article

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

Journal Article

High-Efficiency Circularly Polarized Phased Array Based on 5 μm-Thick Nematic Liquid Crystals: Design

Xin Yu Wu,Fengshuo Wan,Hongyuan Feng,Shichao Jin,Chong Guo,Yu Wei,Dunge Liu,Yuqian Yang,Longzhu Cai,Zhi Hao Jiang,Wei Hong

Journal Article

Heuristic solution using decision tree model for enhanced XML schema matching of bridge structural calculation

Sang I. PARK, Sang-Ho LEE

Journal Article

An innovative model for predicting the displacement and rotation of column-tree moment connection under

Mohammad Ali NAGHSH, Aydin SHISHEGARAN, Behnam KARAMI, Timon RABCZUK, Arshia SHISHEGARAN, Hamed TAGHAVIZADEH, Mehdi MORADI

Journal Article

Salt-assisted synthesis of tree-like oriented SnO

Jinquan SUN, Zifeng YAN, Hongzhi CUI

Journal Article

The secondary laticifer differentiation in rubber tree is induced by trichostatin A, an inhibitor of

Shixin ZHANG,Shaohua WU,Weimin TIAN

Journal Article

A cooperative heterogeneous vehicular clustering framework for efficiency improvement

Iftikhar Ahmad, Rafidah Md Noor, Zaheed Ahmed, Umm-e-Habiba, Naveed Akram, Fausto Pedro García Márquez

Journal Article

variations in leaf capturing of particulate matter, surface wettability and micromorphology in urban tree

Huixia WANG, Hui SHI, Yangyang LI, Ya YU, Jun ZHANG

Journal Article