Resource Type

Journal Article 244

Year

2023 25

2022 26

2021 21

2020 13

2019 10

2018 11

2017 16

2016 17

2015 9

2014 5

2013 11

2012 5

2011 7

2010 7

2009 16

2008 7

2007 11

2006 3

2005 3

2004 2

open ︾

Keywords

prediction 20

Machine learning 8

earthquake prediction 4

life prediction 4

machine learning 4

ANOVA 3

Artificial intelligence 3

Deep learning 3

artificial neural network 3

reliability prediction 3

ANFIS 2

ANN 2

Artificial neural network 2

COVID-19 2

Electric vehicles 2

Feature selection 2

Human mobility 2

Wenchuan Earthquake 2

artificial neural network (ANN) 2

open ︾

Search scope:

排序: Display mode:

Research on Active Handoff Mechanism in Micro-Mobility Protocols

Zhao Aqun

Strategic Study of CAE 2004, Volume 6, Issue 8,   Pages 50-56

Abstract:

Aiming at the disadvantages of current handoff mechanisms in micro-mobility protocols, active handoffThis mechanism takes advantage of mobility prediction technique to predict the next cell a mobile hostTo guarantee the implementation of active handoff mechanism, a mobility prediction algorithm is proposed

Keywords: micro-mobility protocols     active handoff mechanism     mobility prediction     performance evaluation    

Social media and mobility landscape: Uncovering spatial patterns of urban human mobility with multi source

Yilan Cui, Xing Xie, Yi Liu

Frontiers of Environmental Science & Engineering 2018, Volume 12, Issue 5, doi: 10.1007/s11783-018-1068-1

Abstract:

Check-in and survey data are explored to identify personal activity-specific places.

Ways for detecting and moderating sample bias of Weibo check-in data is proposed.

A graphic representation of urban activity intensity in Beijing, China is presented.

The potential application of Weibo check-in data for urban analysis is introduced.

Keywords: Social media     Human mobility     Population bias     Sample reconstruction     Data integration    

On the potential of iPhone significant location data to characterize individual mobility for air pollution

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 5, doi: 10.1007/s11783-022-1542-7

Abstract:

● We evaluated the accuracy of iPhone data in capturing time-activity patterns.

Keywords: Air pollution exposure     Human mobility     iPhone     Significant Location     Smartphone data    

A visual graphic approach for mobility analysis of parallel mechanisms

Xu PEI, Jingjun YU

Frontiers of Mechanical Engineering 2011, Volume 6, Issue 1,   Pages 92-95 doi: 10.1007/s11465-011-0213-3

Analysis of the kinematic characteristics of a high-speed parallel robot with Schönflies motion: Mobility

Fugui XIE,Xin-Jun LIU

Frontiers of Mechanical Engineering 2016, Volume 11, Issue 2,   Pages 135-143 doi: 10.1007/s11465-016-0389-7

Abstract: A line graph method based on Grassmann line geometry is used to investigate the mobility characteristicsThe mobility analysis, inverse kinematics modeling, and singularity analysis conducted in this study

Keywords: parallel robot     mobility     inverse kinematics     singularity     transmission performance    

Erratum to: On the potential of iPhone significant location data to characterize individual mobility

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 9, doi: 10.1007/s11783-022-1556-1

PM-support interfacial effect and oxygen mobility in Pt, Pd or Rh-loaded (Ce,Zr,La)O catalysts

Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 4, doi: 10.1007/s11783-020-1369-z

Abstract:

• Pt/CZL exhibits the optimum catalytic performance for HC and NOx elimination.

Keywords: Precious metal-loaded (Ce     Zr     La)O2 catalysts     Oxygen mobility     Catalytic performance    

Microbial responses to the use of NaClO in sediment treatment

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 2, doi: 10.1007/s11783-021-1451-1

Abstract:

• Chlorine addition enhanced the release of TOC, TN from the sediment.

Keywords: Sediment chlorination     Substance mobility     Microbial response     Community composition     Function    

Development Strategy of Shared Mobility for Smart Cities in the Future

Chen Yisong, Zhao Junwei, Liu Yongtao

Strategic Study of CAE 2019, Volume 21, Issue 3,   Pages 114-121 doi: 10.15302/J-SSCAE-2019.03.009

Abstract: justify;">This paper first analyzes the development environment, trends, and opportunities for shared mobility, and elaborates the symbiotic relationship between shared mobility and smart city.The typical development mode and practical experiences of shared mobility in China are summarized andThen, new concepts for shared mobility development are expounded from three dimensions of new technologyFinally, the concept of shared mobility ecology in future smart cities in China is conceived.

Keywords: smart city     shared mobility     development mode     path analysis     ecology conception    

Integrated Network Design and Demand Forecast for On-Demand Urban Air Mobility Article

Zhiqiang Wu, Yu Zhang

Engineering 2021, Volume 7, Issue 4,   Pages 473-487 doi: 10.1016/j.eng.2020.11.007

Abstract:

Urban air mobility (UAM) is an emerging concept proposed in recent years that uses electric verticalan alternative way of transporting passengers and goods in urban areas with significantly improved mobility

Keywords: Advanced air mobility     Skyport     Travel mode choice     Low-altitude airspace     Unmanned systems    

Statistical Energy Analysis for Complicated Coupled System and Its Application in Engineering

Sheng Meiping

Strategic Study of CAE 2002, Volume 4, Issue 6,   Pages 77-84

Abstract:

The new SEA method developed in this dissertation is the integration of virtues from the mobility

Keywords: power flow     statistical energy analysis(SEA)     mobility     coupling    

Current research, key performances and future development of search and rescue robots

LIU Jinguo, WANG Yuechao, LI Bin, MA Shugen

Frontiers of Mechanical Engineering 2007, Volume 2, Issue 4,   Pages 404-416 doi: 10.1007/s11465-007-0070-2

Abstract: learned from applications, the five key performances of a search and rescue robot are survivability, mobility

Keywords: national development     communicability     mobility     national     intelligent network    

Spatial prediction of soil contamination based on machine learning: a review

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 8, doi: 10.1007/s11783-023-1693-1

Abstract:

● A review of machine learning (ML) for spatial prediction of soil

Keywords: Soil contamination     Machine learning     Prediction     Spatial distribution    

Hybrid deep learning model for risk prediction of fracture in patients with diabetes and osteoporosis

Frontiers of Medicine 2022, Volume 16, Issue 3,   Pages 496-506 doi: 10.1007/s11684-021-0828-7

Abstract: The fracture risk of patients with diabetes is higher than those of patients without diabetes due to hyperglycemia, usage of diabetes drugs, changes in insulin levels, and excretion, and this risk begins as early as adolescence. Many factors including demographic data (such as age, height, weight, and gender), medical history (such as smoking, drinking, and menopause), and examination (such as bone mineral density, blood routine, and urine routine) may be related to bone metabolism in patients with diabetes. However, most of the existing methods are qualitative assessments and do not consider the interactions of the physiological factors of humans. In addition, the fracture risk of patients with diabetes and osteoporosis has not been further studied previously. In this paper, a hybrid model combining XGBoost with deep neural network is used to predict the fracture risk of patients with diabetes and osteoporosis, and investigate the effect of patients’ physiological factors on fracture risk. A total of 147 raw input features are considered in our model. The presented model is compared with several benchmarks based on various metrics to prove its effectiveness. Moreover, the top 18 influencing factors of fracture risks of patients with diabetes are determined.

Keywords: XGBoost     deep neural network     healthcare     risk prediction    

Position-varying surface roughness prediction method considering compensated acceleration in milling

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 4,   Pages 855-867 doi: 10.1007/s11465-021-0649-z

Abstract: Aiming at surface roughness prediction in the machining process, this paper proposes a position-varyingsurface roughness prediction method based on compensated acceleration by using regression analysis.i>R-square proving the effectiveness of the filtering features, is selected as the input of the predictionMoreover, the prediction curve matches and agrees well with the actual surface state, which verifies

Keywords: surface roughness prediction     compensated acceleration     milling     thin-walled workpiece    

Title Author Date Type Operation

Research on Active Handoff Mechanism in Micro-Mobility Protocols

Zhao Aqun

Journal Article

Social media and mobility landscape: Uncovering spatial patterns of urban human mobility with multi source

Yilan Cui, Xing Xie, Yi Liu

Journal Article

On the potential of iPhone significant location data to characterize individual mobility for air pollution

Journal Article

A visual graphic approach for mobility analysis of parallel mechanisms

Xu PEI, Jingjun YU

Journal Article

Analysis of the kinematic characteristics of a high-speed parallel robot with Schönflies motion: Mobility

Fugui XIE,Xin-Jun LIU

Journal Article

Erratum to: On the potential of iPhone significant location data to characterize individual mobility

Journal Article

PM-support interfacial effect and oxygen mobility in Pt, Pd or Rh-loaded (Ce,Zr,La)O catalysts

Journal Article

Microbial responses to the use of NaClO in sediment treatment

Journal Article

Development Strategy of Shared Mobility for Smart Cities in the Future

Chen Yisong, Zhao Junwei, Liu Yongtao

Journal Article

Integrated Network Design and Demand Forecast for On-Demand Urban Air Mobility

Zhiqiang Wu, Yu Zhang

Journal Article

Statistical Energy Analysis for Complicated Coupled System and Its Application in Engineering

Sheng Meiping

Journal Article

Current research, key performances and future development of search and rescue robots

LIU Jinguo, WANG Yuechao, LI Bin, MA Shugen

Journal Article

Spatial prediction of soil contamination based on machine learning: a review

Journal Article

Hybrid deep learning model for risk prediction of fracture in patients with diabetes and osteoporosis

Journal Article

Position-varying surface roughness prediction method considering compensated acceleration in milling

Journal Article