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Study on Algorithm A* Based on Dynamic Representation of Binary Tree for Environment and Robotic

Tang Ping,Yang Yimin

Strategic Study of CAE 2002, Volume 4, Issue 9,   Pages 50-53

Abstract:

This paper deals with a way of representing dynamic environment based on binary-tree.With the soccer game's environments represented by dynamic binary-tree, optimal results were obtained

Keywords： dynamic binary-tree     algorithm A*     path planning    

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Binary neural networks for speech recognition Regular Papers

Yan-min QIAN, Xu XIANG

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 5,   Pages 701-715 doi: 10.1631/FITEE.1800469

Abstract: In this work, binary neural networks for speech recognition are developed to reduce the computationalA fast implementation of binary matrix multiplication is introduced.floating-point model to the compressed binary model is explored.Experiments on the standard Switchboard speech recognition task show that the proposed binary neuralWith the knowledge distillation from the normal floating-point models, the binary DNNs or binary convolutional

Keywords： Speech recognition     Binary neural networks     Binary matrix multiplication     Knowledge distillation     Population    

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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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Experimental investigation on mechanical properties of binary and ternary blended pervious concrete

Rekha SINGH, Sanjay GOEL

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 1,   Pages 229-240 doi: 10.1007/s11709-019-0597-4

Abstract: The purpose of the investigation was to study the effect of binary and ternary blends of cement on theStandard cube specimens of size 150 mm × 150 mm × 150 mm of binary and ternary blends of mineral admixture

Keywords： mineral admixture     ternary     compressive strength     split tensile strength     pervious concrete     ultrasonic pulse velocity    

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Comparing the adsorption behaviors of Cd, Cu and Pb from water onto Fe-Mn binary oxide, MnO

Wei XU,Huachun LAN,Hongjie WANG,Hongming LIU,Jiuhui QU

Frontiers of Environmental Science & Engineering 2015, Volume 9, Issue 3,   Pages 385-393 doi: 10.1007/s11783-014-0648-y

Abstract: The adsorption potential of FMBO, FeOOH, MnO for the removal of Cd , Cu and Pb in aqueous systems was investigated in this study. Comparing to FMBO and FeOOH, MnO offered a much higher removal capacity towards the three metal ions. The maximal adsorption capacity of MnO for Cd , Cu and Pb were 1.23, 2.25 and 2.60 mmol·g , respectively. And that for FMBO were 0.37, 1.13, and 1.18 mmol·g and for FeOOH were 0.11, 0.86 and 0.48 mmol·g , respectively. The adsorption behaviors of the three metal ions on the three adsorbents were all significantly affected by pH values and heavy metal removal efficiency increased with pH increased. The Langmuir and Freundlich adsorption models were used to describe the adsorption equilibrium of the three metal ions onto the three adsorbents. Results showed that the adsorption equilibrium data fitted well to Langmuir isotherm and this indicated that adsorption of metal ions occurred on the three metal oxides adsorbents limited to the formation of a monolayer. More negative charged of MnO surface than that of FMBO and FeOOH could be ascribed by lower pH of MnO than that of FMBO and FeOOH and this could contribute to more binding sites on MnO surface than that of FMBO and FeOOH. The higher metal ions uptake by MnO than FMBO and FeOOH could be well explained by the surface charge mechanism.

Keywords： heavy metals     Fe-Mn binary oxide     manganese dioxide     ferric hydroxide     adsorption    

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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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Comprehensive performance analysis and optimization of 1,3-dimethylimidazolylium dimethylphosphate-water binary

Gorakshnath TAKALKAR, Ahmad K. SLEITI

Frontiers in Energy 2022, Volume 16, Issue 3,   Pages 521-535 doi: 10.1007/s11708-021-0720-9

Abstract: The energy and exergy analyses of the absorption refrigeration system (ARS) using H O-[mmim][DMP] mixture were investigated for a wide range of temperature. The equilibrium Dühring ( - - ) and enthalpy ( - - ) of mixture were assessed using the excess Gibbs free non-random two liquid (NRTL) model for a temperature range of 20°C to 140°C and from 0.1 to 0.9. The performance validation of the ARS cycle showed a better coefficient of performance (COP) of 0.834 for H O-[mmim][DMP] in comparison to NH -H O, H O-LiBr, H O-[emim][DMP], and H O-[emim][BF4]. Further, ARS performances with various operating temperatures of the absorber ( ), condenser ( ), generator ( ), and evaporator ( ) were simulated and optimized for a maximum COP and exergetic COP (ECOP). The effects of from 50°C to 150°C and and from 30°C to 50°C on COP and ECOP, the , , and circulation ratio (CR) of the ARS were evaluated and optimized for from 5°C to 15°C. The optimization revealed that needed to achieve a maximum COP which was more than that for a maximum ECOP. Therefore, this investigation provides criteria to select low grade heat source temperature. Most of the series flow of the cases of cooling water from the condenser to the absorber was found to be better than the absorber to the condenser.

Keywords： ionic liquid driven absorption cycle     H2O-[mmim][DMP]     coefficient of performance (COP)     exergy analysis     thermodynamics mixture property    

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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-tree

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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Experimental study on saturated flow boiling heat transfer of R290/R152a binary mixtures in a horizontal

Xin ZOU, Maoqiong GONG, Gaofei CHEN, Zhaohu SUN, Jianfeng WU

Frontiers in Energy 2010, Volume 4, Issue 4,   Pages 527-534 doi: 10.1007/s11708-010-0109-7

Abstract: An experimental study on the saturated flow boiling heat transfer for a binary mixture of R290/R152aA modified correlation for the binary mixture is proposed based on the authors’ previous work on pool

Keywords： flow boiling     heat transfer     binary mixture     R290/R152a    

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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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An investigation into the properties of ternary and binary cement pastes containing glass powder

Marcelo Frota BAZHUNI, Mahsa KAMALI, Ali GHAHREMANINEZHAD

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 3,   Pages 741-750 doi: 10.1007/s11709-018-0511-5

Abstract: The properties of binary and ternary cement pastes containing glass powder (GP) were examined.The binary paste with slag showed the highest hydration activity compared to the binary pastes with GPThe results indicated that the pozzolanic behavior of the binary paste with GP was less than that ofthe binary pastes with slag or FA at late ages.An increase in the electrical resistivity and compressive strength of the binary paste with GP compared

Keywords： cement paste     glass powder     pozzolanic reaction     supplementary cementitious material    

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Title Author Date Type Operation

Study on Algorithm A* Based on Dynamic Representation of Binary Tree for Environment and Robotic

Tang Ping,Yang Yimin

Journal Article

Binary neural networks for speech recognition

Yan-min QIAN, Xu XIANG

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

Experimental investigation on mechanical properties of binary and ternary blended pervious concrete

Rekha SINGH, Sanjay GOEL

Journal Article

Comparing the adsorption behaviors of Cd, Cu and Pb from water onto Fe-Mn binary oxide, MnO

Wei XU,Huachun LAN,Hongjie WANG,Hongming LIU,Jiuhui QU

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

Comprehensive performance analysis and optimization of 1,3-dimethylimidazolylium dimethylphosphate-water binary

Gorakshnath TAKALKAR, Ahmad K. SLEITI

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

Experimental study on saturated flow boiling heat transfer of R290/R152a binary mixtures in a horizontal

Xin ZOU, Maoqiong GONG, Gaofei CHEN, Zhaohu SUN, Jianfeng WU

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

An investigation into the properties of ternary and binary cement pastes containing glass powder

Marcelo Frota BAZHUNI, Mahsa KAMALI, Ali GHAHREMANINEZHAD

Journal Article