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An improved artificial bee colony algorithm with MaxTF heuristic rule for two-sided assembly line balancing

Xiaokun DUAN, Bo WU, Youmin HU, Jie LIU, Jing XIONG

Frontiers of Mechanical Engineering 2019, Volume 14, Issue 2,   Pages 241-253 doi: 10.1007/s11465-018-0518-6

Abstract: Two-sided assembly line is usually used for the assembly of large products such as cars, buses, and trucksTwo-sided assembly line balancing with the objective of minimizing the cycle time is called TALBP-2.In the IABC algorithm, two neighborhood strategies are embedded to balance the exploitation and exploration

Keywords： two-sided assembly line balancing problem     artificial bee colony algorithm     heuristic rules     time boundary    

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Maximum independent set in planning freight railway transportation

Gainanov Damir N., Mladenovic NENAD, Rasskazova V. A.

Frontiers of Engineering Management 2018, Volume 5, Issue 4,   Pages 499-506 doi: 10.15302/J-FEM-2018031

Abstract:

This work is devoted to the problem of planning of freight railway transportation. We define a special conflict graph on the basis of a set of acceptable train routes. The investigation aims to solve the classical combinatorial optimization problem in relation to the maximum independent set of vertices in undirected graphs. The level representation of the graph and its tree are introduced. With use of these constructions, the lower and upper bounds for the number of vertices in the maximum independent set are obtained.

Keywords： independent set     algorithm     planning of transportation     two-sided estimate    

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Two-sided ultrasonic surface rolling process of aeroengine blades based on on-machine noncontact measurement

Shulei YAO, Xian CAO, Shuang LIU, Kaiming ZHANG, Xiancheng ZHANG, Congyang GONG, Chengcheng ZHANG

Frontiers of Mechanical Engineering 2020, Volume 15, Issue 2,   Pages 240-255 doi: 10.1007/s11465-019-0581-7

Abstract: This study presents a two-sided USRP (TS-USRP) machining for aeroengine blades on the basis of on-machine

Keywords： aeroengine blades     on-machine noncontact measurement     point cloud processing     path planning     surface strengthening    

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Anovel approach of noise statistics estimate using H∞ filter in target tracking

Xie WANG,Mei-qin LIU,Zhen FAN,Sen-lin ZHANG

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 5,   Pages 449-457 doi: 10.1631/FITEE.1500262

Abstract: Noise statistics are essential for estimation performance. In practical situations, however, a priori information of noise statistics is often imperfect. Previous work on noise statistics identification in linear systems still requires initial prior knowledge of the noise. A novel approach is presented in this paper to solve this paradox. First, we apply the H∞ filter to obtain the system state estimates without the common assumptions about the noise in conventional adaptive filters. Then by applying state estimates obtained from the H∞ filter, better estimates of the noise mean and covariance can be achieved, which can improve the performance of estimation. The proposed approach makes the best use of the system knowledge without a priori information with modest computation cost, which makes it possible to be applied online. Finally, numerical examples are presented to show the efficiency of this approach.

Keywords： Noise estimate     H∞     filter     Target tracking    

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An Estimate Method of Parametric in Reliability Engineering

Han Ming

Strategic Study of CAE 2003, Volume 5, Issue 3,   Pages 51-56

Abstract:

In this paper, the Bayesian method, an estimate method for parameter in reliability engineering isThe author gives definition of the new Bayesian estimate for failure probability and failure rate, andshows the estimate of the failure probability and the failure rate by new Bayesian method.

Keywords： reliability engineering     parameter estimate     new Bayesian estimate     failure probability    

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Development of an analytical model to estimate the churning losses in high-speed axial piston pumps

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 2, doi: 10.1007/s11465-021-0671-1

Abstract: design stage of high-speed axial piston pumps, but accurate analytical models are not available to estimate

Keywords： axial piston pump     rotating parts     high rotational speed     churning losses     drag torque    

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Fast scaling approach based on cavitation conditions to estimate the speed limitation for axial piston

Qun CHAO, Jianfeng TAO, Junbo LEI, Xiaoliang WEI, Chengliang LIU, Yuanhang WANG, Linghui MENG

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 1,   Pages 176-185 doi: 10.1007/s11465-020-0616-0

Abstract: This paper presents a scaling law derived from an analytical cavitation model to estimate the speed limitations

Keywords： axial piston pump     cavitation     speed limitation     scaling law    

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The use of Artificial Neural Networks to estimate seismic damage and derive vulnerability functions for

Tiago Miguel FERREIRA, João ESTÊVÃO, Rui MAIO, Romeu VICENTE

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 3,   Pages 609-622 doi: 10.1007/s11709-020-0623-6

Abstract: This paper discusses the adoption of Artificial Intelligence-based techniques to estimate seismic damage

Keywords： Artificial Neural Networks     seismic vulnerability     masonry buildings     damage estimation     vulnerability curves    

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A hybrid machine learning model to estimate self-compacting concrete compressive strength

Hai-Bang LY; Thuy-Anh NGUYEN; Binh Thai PHAM; May Huu NGUYEN

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 8,   Pages 990-1002 doi: 10.1007/s11709-022-0864-7

Abstract: This study examined the feasibility of using the grey wolf optimizer (GWO) and artificial neural network (ANN) to predict the compressive strength (CS) of self-compacting concrete (SCC). The ANN-GWO model was created using 115 samples from different sources, taking into account nine key SCC factors. The validation of the proposed model was evaluated via six indices, including correlation coefficient (R), mean squared error, mean absolute error (MAE), IA, Slope, and mean absolute percentage error. In addition, the importance of the parameters affecting the CS of SCC was investigated utilizing partial dependence plots. The results proved that the proposed ANN-GWO algorithm is a reliable predictor for SCC’s CS. Following that, an examination of the parameters impacting the CS of SCC was provided.

Keywords： artificial neural network     grey wolf optimize algorithm     compressive strength     self-compacting concrete    

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Suitability of common models to estimate hydrology and diffuse water pollution in North-eastern German

Muhammad WASEEM, Frauke KACHHOLZ, Jens TRÄNCKNER

Frontiers of Agricultural Science and Engineering 2018, Volume 5, Issue 4,   Pages 420-431 doi: 10.15302/J-FASE-2018243

Abstract:

Various process-based models are extensively being used to analyze and forecast catchment hydrology and water quality. However, it is always important to select the appropriate hydrological and water quality modeling tools to predict and analyze the watershed and also consider their strengths and weaknesses. Different factors such as data availability, hydrological, hydraulic, and water quality processes and their desired level of complexity are crucial for selecting a plausible modeling tool. This review is focused on suitable model selection with a focus on desired hydrological, hydraulic and water quality processes (nitrogen fate and transport in surface, subsurface and groundwater bodies) by keeping in view the typical lowland catchments with intensive agricultural land use, higher groundwater tables, and decreased retention times due to the provision of artificial drainage. In this study, four different physically based, partially and fully distributed integrated water modeling tools, SWAT (soil and water assessment tool), SWIM (soil and water integrated model), HSPF (hydrological simulation program– FORTRAN) and a combination of tools from DHI (MIKE SHE coupled with MIKE 11 and ECO Lab), have been reviewed particularly for the Tollense River catchment located in North-eastern Germany. DHI combined tools and SWAT were more suitable for simulating the desired hydrological processes, but in the case of river hydraulics and water quality, the DHI family of tools has an edge due to their integrated coupling between MIKE SHE, MIKE 11 and ECO Lab. In case of SWAT, it needs to be coupled with another tool to model the hydraulics in the Tollense River as SWAT does not include backwater effects and provision of control structures. However, both SWAT and DHI tools are more data demanding in comparison to SWIM and HSPF. For studying nitrogen fate and transport in unsaturated, saturated, and river zone, HSPF was a better model to simulate the desired nitrogen transformation and transport processes. However, for nitrogen dynamics and transformations in shallow streams, ECO Lab had an edge due its flexibility for inclusion of user-desired water quality parameters and processes. In the case of SWIM, most of the input data and governing equations are similar to SWAT but it does not include water bodies (ponds and lakes), wetlands and drainage systems. In this review, only the processes that were needed to simulate the Tollense River catchment were considered, however the resulted model selection criteria can be generalized to other lowland catchments in Australia, North-western Europe and North America with similar complexity.

Keywords： diffuse pollution     ECO Lab     HSPF     lowland catchment     MIKE 11     MIKE SHE     modeling tools     SWAT     SWIM     Tollense River     water quality    

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Carbon dots-based fluorescence sensor for two-photon imaging of pH in diabetic mice

Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 3,   Pages 298-306 doi: 10.1007/s11705-022-2212-9

Abstract: Finally, the CA-CDs has been successfully applied for two-photon imaging of the pH in liver and kidney

Keywords： carbon dots     two-photon imaging     pH     diabetic mice    

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New medical risks affecting obstetrics after implementation of the two-child policy in China

Qiang Li, Dongrui Deng

Frontiers of Medicine 2017, Volume 11, Issue 4,   Pages 570-575 doi: 10.1007/s11684-017-0552-5

Abstract:

China recently instituted a two-child policy in response to its aging population, declining workforce

Keywords： two-child policy     birth defects     cesarean delivery     placenta previa    

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Extended two-fluid model applied to analysis of bubbly flow in multiphase rotodynamic pump impeller

Zhiyi YU, Guoyu WANG, Shuliang CAO

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 1,   Pages 53-59 doi: 10.1007/s11465-009-0006-0

Abstract: This paper presents an extended two-fluid model based on the Navier-Stokes equations and the standardThe discrete equations are solved using a developed two-phase semi-implicit method for pressure-linkedSimulation is then carried out for the pure liquid flow and air-water two-phase flow with the inlet gas

Keywords： two-fluid model     multiphase rotodynamic pump     SIMPLEC algorithm     numerical simulation    

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Feasible workspace regions for general two-revolute manipulator

Conghui LIANG, Marco CECCARELLI

Frontiers of Mechanical Engineering 2011, Volume 6, Issue 4,   Pages 397-408 doi: 10.1007/s11465-011-0228-9

Abstract:

In this paper, a topology is presented for feasible workspace regions in general two-revolute manipulatorsThree general cases are analyzed in details to characterize workspace design capabilities for general two-revolute

Keywords： workspace     two-revolute manipulators     topology analysis     design    

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Offline motion planning and simulation of two-robot welding coordination

Tie ZHANG, Fan OUYANG

Frontiers of Mechanical Engineering 2012, Volume 7, Issue 1,   Pages 81-92 doi: 10.1007/s11465-012-0309-4

Abstract:

This paper focuses on the two-robot welding coordination of complex curve seam which means one robotgrasp the workpiece, the other hold the torch, the two robots work on the same workpiece simultaneouslypaper builds the dual-robot coordinate system at the beginning, and three point calibration method of twoslave scheme sets the poses versus time function of the point u on the workpiece, and calculates the two

Keywords： complex curve seam     two robots     coordinated welding     motion planning    

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Title Author Date Type Operation

An improved artificial bee colony algorithm with MaxTF heuristic rule for two-sided assembly line balancing

Xiaokun DUAN, Bo WU, Youmin HU, Jie LIU, Jing XIONG

Journal Article

Maximum independent set in planning freight railway transportation

Gainanov Damir N., Mladenovic NENAD, Rasskazova V. A.

Journal Article

Two-sided ultrasonic surface rolling process of aeroengine blades based on on-machine noncontact measurement

Shulei YAO, Xian CAO, Shuang LIU, Kaiming ZHANG, Xiancheng ZHANG, Congyang GONG, Chengcheng ZHANG

Journal Article

Anovel approach of noise statistics estimate using H∞ filter in target tracking

Xie WANG,Mei-qin LIU,Zhen FAN,Sen-lin ZHANG

Journal Article

An Estimate Method of Parametric in Reliability Engineering

Han Ming

Journal Article

Development of an analytical model to estimate the churning losses in high-speed axial piston pumps

Journal Article

Fast scaling approach based on cavitation conditions to estimate the speed limitation for axial piston

Qun CHAO, Jianfeng TAO, Junbo LEI, Xiaoliang WEI, Chengliang LIU, Yuanhang WANG, Linghui MENG

Journal Article

The use of Artificial Neural Networks to estimate seismic damage and derive vulnerability functions for

Tiago Miguel FERREIRA, João ESTÊVÃO, Rui MAIO, Romeu VICENTE

Journal Article

A hybrid machine learning model to estimate self-compacting concrete compressive strength

Hai-Bang LY; Thuy-Anh NGUYEN; Binh Thai PHAM; May Huu NGUYEN

Journal Article

Suitability of common models to estimate hydrology and diffuse water pollution in North-eastern German

Muhammad WASEEM, Frauke KACHHOLZ, Jens TRÄNCKNER

Journal Article

Carbon dots-based fluorescence sensor for two-photon imaging of pH in diabetic mice

Journal Article

New medical risks affecting obstetrics after implementation of the two-child policy in China

Qiang Li, Dongrui Deng

Journal Article

Extended two-fluid model applied to analysis of bubbly flow in multiphase rotodynamic pump impeller

Zhiyi YU, Guoyu WANG, Shuliang CAO

Journal Article

Feasible workspace regions for general two-revolute manipulator

Conghui LIANG, Marco CECCARELLI

Journal Article

Offline motion planning and simulation of two-robot welding coordination

Tie ZHANG, Fan OUYANG

Journal Article