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Ensemble unit and AI techniques for prediction of rock strain

Pradeep T; Pijush SAMUI; Navid KARDANI; Panagiotis G ASTERIS

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 7,   Pages 858-870 doi: 10.1007/s11709-022-0831-3

Abstract: Additionally, the ensemble unit (EnU) may be utilized to evaluate rock strain.

Keywords： prediction     strain     ensemble unit     rank analysis     error matrix    

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Robust ensemble of metamodels based on the hybrid error measure

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 3,   Pages 623-634 doi: 10.1007/s11465-021-0641-7

Abstract: In this work, a robust ensemble of metamodels (EMs) is proposed by combining three regression stand-alone

Keywords： metamodel     ensemble of metamodels     hybrid error measure     stochastic problem    

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Processing parameter optimization of fiber laser beam welding using an ensemble of metamodels and MOABC

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 4, doi: 10.1007/s11465-022-0703-5

Abstract: This study proposes a multi-objective optimization framework by combining an ensemble of metamodels (

Keywords： laser beam welding     parameter optimization     metamodel     multi-objective    

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Efficient Identification of water conveyance tunnels siltation based on ensemble deep learning

Xinbin WU; Junjie LI; Linlin WANG

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 5,   Pages 564-575 doi: 10.1007/s11709-022-0829-x

Abstract: This paper introduces the idea of ensemble deep learning.At the same time, the fully-connected network is applied as the meta-learner, and stacking ensemble learning

Keywords： water conveyance tunnels     siltation images     remotely operated vehicles     deep learning     ensemble learning    

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A solution to stochastic unit commitment problem for a wind-thermal system coordination

B. SARAVANAN,Shreya MISHRA,Debrupa NAG

Frontiers in Energy 2014, Volume 8, Issue 2,   Pages 192-200 doi: 10.1007/s11708-014-0306-x

Abstract: Unit commitment (UC) problem is one of the most important decision making problems in power system.The most important issue that needs to be addressed is the achievement of an economic unit commitmentThis paper proposes a hybrid approach to solve the stochastic unit commitment problem considering the

Keywords： unit commitment (UC)     randomness     wind generation     univariate     chance constrained    

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Solving unit commitment problem using a novel version of harmony search algorithm

Roozbeh MORSALI,Tohid JAFARI,Amirhossein GHODS,Mohammad KARIMI

Frontiers in Energy 2014, Volume 8, Issue 3,   Pages 297-304 doi: 10.1007/s11708-014-0309-7

Abstract: this context, a novel structure was proposed for improving harmony search (HS) algorithm to solve the unit

Keywords： generation scheduling     harmony search (HS) algorithm     intelligent technique     unit commitment    

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A solution to the unit commitment problem—a review

B. SARAVANAN, Siddharth DAS, Surbhi SIKRI, D. P. KOTHARI

Frontiers in Energy 2013, Volume 7, Issue 2,   Pages 223-236 doi: 10.1007/s11708-013-0240-3

Abstract: Unit commitment (UC) is an optimization problem used to determine the operation schedule of the generating

Keywords： unit commitment (UC)     optimization     deterministic load     stochastic load     evolutionary programming (EP)     hybrid    

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A novel ensemble model for predicting the performance of a novel vertical slot fishway

Aydin SHISHEGARAN, Mohammad SHOKROLLAHI, Ali MIRNOROLLAHI, Arshia SHISHEGARAN, Mohammadreza MOHAMMAD KHANI

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 6,   Pages 1418-1444 doi: 10.1007/s11709-020-0664-x

Abstract: We investigate the performance of a novel vertical slot fishway by employing finite volume and surrogate models. Multiple linear regression, multiple log equation regression, gene expression programming, and combinations of these models are employed to predict the maximum turbulence, maximum velocity, resting area, and water depth of the middle pool in the fishway. The statistical parameters and error terms, including the coefficient of determination, root mean square error, normalized square error, maximum positive and negative errors, and mean absolute percentage error were employed to evaluate and compare the accuracy of the models. We also conducted a parametric study. The independent variables include the opening between baffles ( ), the ratio of the length of the large and small baffles, the volume flow rate, and the angle of the large baffle. The results show that the key parameters of the maximum turbulence and velocity are the volume flow rate and .

Keywords： novel vertical slot fishway     parametric study     finite volume method     ensemble model     gene expression programming    

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Energy saving design of the machining unit of hobbing machine tool with integrated optimization

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 3, doi: 10.1007/s11465-022-0694-2

Abstract: The machining unit of hobbing machine tool accounts for a large portion of the energy consumption duringA comprehensive function of energy consumption of the machining unit is built to address this problemResults show that the energy consumption and tool displacement of the machining unit are reduced, indicating

Keywords： energy saving design     energy consumption     machining unit     integrated optimization     machine tool    

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Low crosstalk switch unit for dense piezoelectric sensor networks

Lei QIU, Shenfang YUAN,

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 4,   Pages 401-406 doi: 10.1007/s11465-009-0047-4

Abstract: sampling rate and limited quantity of signal amplifiers used in an integrated computer system, a switch unitfrequency and power of the lamb wave excitation signal, there exists a crosstalk signal in the switch unitThen a 24-switch channel low crosstalk switch unit based on a digital I/O board PCI7248 produced by Adlink, a general software program based on LabVIEW software platform is developed to control this switch unit

Keywords： structural health monitoring (SHM)     piezoelectric (PZT) sensor networks     switch unit     crosstalk signal    

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Ensemble enhanced active learning mixture discriminant analysis model and its application for semi-supervised Research Article

Weijun WANG, Yun WANG, Jun WANG, Xinyun FANG, Yuchen HE

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 12,   Pages 1814-1827 doi: 10.1631/FITEE.2200053

Abstract: As an indispensable part of process monitoring, the performance of relies heavily on the sufficiency of process knowledge. However, data labels are always difficult to acquire because of the limited sampling condition or expensive laboratory analysis, which may lead to deterioration of classification performance. To handle this dilemma, a new strategy is performed in which enhanced is employed to evaluate the value of each unlabeled sample with respect to a specific labeled dataset. Unlabeled samples with large values will serve as supplementary information for the training dataset. In addition, we introduce several reasonable indexes and criteria, and thus human labeling interference is greatly reduced. Finally, the effectiveness of the proposed method is evaluated using a numerical example and the Tennessee Eastman process.

Keywords： Semi-supervised     Active learning     Ensemble learning     Mixture discriminant analysis     Fault classification    

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Performance design of a cryogenic air separation unit for variable working conditions using the lumped

Jinghua XU, Tiantian WANG, Qianyong CHEN, Shuyou ZHANG, Jianrong TAN

Frontiers of Mechanical Engineering 2020, Volume 15, Issue 1,   Pages 24-42 doi: 10.1007/s11465-019-0558-6

Abstract: The designed value of net power consumption per unit of oxygen production (kW/(Nm O )) is reduced by

Keywords： performance design     air separation unit (ASU)     lumped parameter model (LPM)     variable working conditions    

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A distributed EEMDN-SABiGRU model on Spark for passenger hotspot prediction

夏大文,耿建,黄瑞曦,申冰琪,胡杨,李艳涛,李华青

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 9,   Pages 1316-1331 doi: 10.1631/FITEE.2200621

Abstract: imbalance problem between supply and demand for taxis and passengers, this paper proposes a distributed ensembledecomposition with normalization of spatial attention mechanism based bi-directional gated recurrent unit

Keywords： Passenger hotspot prediction     Ensemble empirical mode decomposition (EEMD)     Spatial attention mechanism     Bi-directional gated recurrent unit (BiGRU)     GPS trajectory     Spark    

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Multi-model ensemble deep learning method for intelligent fault diagnosis with high-dimensional samples

Xin ZHANG, Tao HUANG, Bo WU, Youmin HU, Shuai HUANG, Quan ZHOU, Xi ZHANG

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 2,   Pages 340-352 doi: 10.1007/s11465-021-0629-3

Abstract: Therefore, a multi-model ensemble deep learning method based on deep convolutional neural network (DCNN

Keywords： fault intelligent diagnosis     deep learning     deep convolutional neural network     high-dimensional samples    

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Variation characteristics of atmospheric methane and carbon dioxide in summertime at a coastal site in the South China Sea

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 11, doi: 10.1007/s11783-022-1574-z

Abstract:

● Diurnal patterns of CH4 and CO2 are clearly extracted using EEMD.

Keywords： Methane     Carbon dioxide     Diurnal pattern     Ensemble empirical mode decomposition     South China Sea     Sea    

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Title Author Date Type Operation

Ensemble unit and AI techniques for prediction of rock strain

Pradeep T; Pijush SAMUI; Navid KARDANI; Panagiotis G ASTERIS

Journal Article

Robust ensemble of metamodels based on the hybrid error measure

Journal Article

Processing parameter optimization of fiber laser beam welding using an ensemble of metamodels and MOABC

Journal Article

Efficient Identification of water conveyance tunnels siltation based on ensemble deep learning

Xinbin WU; Junjie LI; Linlin WANG

Journal Article

A solution to stochastic unit commitment problem for a wind-thermal system coordination

B. SARAVANAN,Shreya MISHRA,Debrupa NAG

Journal Article

Solving unit commitment problem using a novel version of harmony search algorithm

Roozbeh MORSALI,Tohid JAFARI,Amirhossein GHODS,Mohammad KARIMI

Journal Article

A solution to the unit commitment problem—a review

B. SARAVANAN, Siddharth DAS, Surbhi SIKRI, D. P. KOTHARI

Journal Article

A novel ensemble model for predicting the performance of a novel vertical slot fishway

Aydin SHISHEGARAN, Mohammad SHOKROLLAHI, Ali MIRNOROLLAHI, Arshia SHISHEGARAN, Mohammadreza MOHAMMAD KHANI

Journal Article

Energy saving design of the machining unit of hobbing machine tool with integrated optimization

Journal Article

Low crosstalk switch unit for dense piezoelectric sensor networks

Lei QIU, Shenfang YUAN,

Journal Article

Ensemble enhanced active learning mixture discriminant analysis model and its application for semi-supervised

Weijun WANG, Yun WANG, Jun WANG, Xinyun FANG, Yuchen HE

Journal Article

Performance design of a cryogenic air separation unit for variable working conditions using the lumped

Jinghua XU, Tiantian WANG, Qianyong CHEN, Shuyou ZHANG, Jianrong TAN

Journal Article

A distributed EEMDN-SABiGRU model on Spark for passenger hotspot prediction

夏大文,耿建,黄瑞曦,申冰琪,胡杨,李艳涛,李华青

Journal Article

Multi-model ensemble deep learning method for intelligent fault diagnosis with high-dimensional samples

Xin ZHANG, Tao HUANG, Bo WU, Youmin HU, Shuai HUANG, Quan ZHOU, Xi ZHANG

Journal Article

Variation characteristics of atmospheric methane and carbon dioxide in summertime at a coastal site in the South China Sea

Journal Article