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An experimental characterization of human torso motion
Daniele CAFOLLA,I-Ming CHEN,Marco CECCARELLI
Frontiers of Mechanical Engineering 2015, Volume 10, Issue 4, Pages 311-325 doi: 10.1007/s11465-015-0352-z
Keywords: experimental biomechanics human torso analysis inertial sensor characterization
Frontiers of Mechanical Engineering 2022, Volume 17, Issue 3, doi: 10.1007/s11465-022-0697-z
Keywords: pipeline robot piezoelectric inertial drive stick-slip large load capacity dynamics model small
Guixiong LIU, Peiqiang ZHANG, Chen XU
Frontiers of Mechanical Engineering 2009, Volume 4, Issue 2, Pages 129-133 doi: 10.1007/s11465-009-0035-8
Keywords: sensors magnetic fluid property of mag-viscosity controllable output
Biomedical sensor technologies on the platform of mobile phones
Lin LIU, Jing LIU
Frontiers of Mechanical Engineering 2011, Volume 6, Issue 2, Pages 160-175 doi: 10.1007/s11465-011-0216-0
Keywords: biomedical sensor pervasive technology mobile phone combined system health management
Development and testing of a wireless smart toolholder with multi-sensor fusion
Frontiers of Mechanical Engineering 2023, Volume 18, Issue 4, doi: 10.1007/s11465-023-0774-y
Keywords: wireless smart toolholder multi-sensor fusion circular runout dynamic balancing static stiffness
Flexible micro flow sensor for micro aerial vehicles
Rong ZHU, Ruiyi QUE, Peng LIU
Frontiers of Mechanical Engineering 2017, Volume 12, Issue 4, Pages 539-545 doi: 10.1007/s11465-017-0427-0
Keywords: micro flow sensor flexible sensor surface flow sensing aerodynamic parameter micro aerial vehicle (MAV
Fault diagnosis of axial piston pumps with multi-sensor data and convolutional neural network
Frontiers of Mechanical Engineering 2022, Volume 17, Issue 3, doi: 10.1007/s11465-022-0692-4
Keywords: axial piston pump fault diagnosis convolutional neural network multi-sensor data fusion
Inertial Sensing Disruptive Technology Based on Levitated Optomechanics
Hu Huizhu, Yin Zhangqi, Li Nan, Che Shuangliang, Shu Xiaowu, Liu Cheng
Strategic Study of CAE 2018, Volume 20, Issue 6, Pages 112-116 doi: 10.15302/J-SSCAE-2018.06.018
Keywords: optomechanics precision measurement inertial sensing disruptive technology
Reduced texaphyrin: A ratiometric optical sensor for heavy metals in aqueous solution
Harrison D. Root, Gregory Thiabaud, Jonathan L. Sessler
Frontiers of Chemical Science and Engineering 2020, Volume 14, Issue 1, Pages 19-27 doi: 10.1007/s11705-019-1888-y
Keywords: texaphyrin fluorescent sensor ion-sensing indium mercury
New results on impulsive type inertial bidirectional associativememory neural networks Research Articles
Chaouki AOUITI, Mahjouba Ben REZEG, Yang CAO
Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 2, Pages 324-339 doi: 10.1631/FITEE.1900181
Keywords: Inertial neural networks Anti-periodic solutions Global exponential stability Impulsive effect Time-varying
Xin Chen,Youdun Bai,Zhijun Yang,Jian Gao,Gongfa Chen
Engineering 2015, Volume 1, Issue 3, Pages 391-398 doi: 10.15302/J-ENG-2015063
Keywords: high-acceleration low-load mechanism precision positioning spatial and temporal distribution inertial
A cellphone-based colorimetric multi-channel sensor for water environmental monitoring
Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 12, doi: 10.1007/s11783-022-1590-z
● A cellphone-based colorimetric multi-channel sensor for in-field
Keywords: Colorimetric analysis Multi-channel sensor Cellphone Water quality indexes Environmental monitoring
Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 6, doi: 10.1007/s11783-023-1667-3
● Hybrid deep-learning model is proposed for water quality prediction.
Keywords: Water quality prediction Soft-sensor Anaerobic process Tree-structured Parzen Estimator
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
Keywords: structural health monitoring (SHM) piezoelectric (PZT) sensor networks switch unit crosstalk signal
Frontiers of Mechanical Engineering 2023, Volume 18, Issue 2, doi: 10.1007/s11465-022-0736-9
Keywords: fault recognition fault localization multi-sensor relations network analysis graph neural network
Title Author Date Type Operation
An experimental characterization of human torso motion
Daniele CAFOLLA,I-Ming CHEN,Marco CECCARELLI
Journal Article
Piezoelectric inertial robot for operating in small pipelines based on stick-slip mechanism: modeling
Journal Article
Modeling and analysis of controllable output property of cantilever-beam inertial sensors based on magnetic
Guixiong LIU, Peiqiang ZHANG, Chen XU
Journal Article
Fault diagnosis of axial piston pumps with multi-sensor data and convolutional neural network
Journal Article
Inertial Sensing Disruptive Technology Based on Levitated Optomechanics
Hu Huizhu, Yin Zhangqi, Li Nan, Che Shuangliang, Shu Xiaowu, Liu Cheng
Journal Article
Reduced texaphyrin: A ratiometric optical sensor for heavy metals in aqueous solution
Harrison D. Root, Gregory Thiabaud, Jonathan L. Sessler
Journal Article
New results on impulsive type inertial bidirectional associativememory neural networks
Chaouki AOUITI, Mahjouba Ben REZEG, Yang CAO
Journal Article
Method for a High-Acceleration Low-Load Mechanism Based on Optimal Spatial and Temporal Distribution of Inertial
Xin Chen,Youdun Bai,Zhijun Yang,Jian Gao,Gongfa Chen
Journal Article
A cellphone-based colorimetric multi-channel sensor for water environmental monitoring
Journal Article
Water quality soft-sensor prediction in anaerobic process using deep neural network optimized by Tree-structured
Journal Article
Low crosstalk switch unit for dense piezoelectric sensor networks
Lei QIU, Shenfang YUAN,
Journal Article