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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

Abstract: In this paper, a method is proposed to analyze the behavior of the human torso by using inertial and

Keywords: experimental biomechanics     human torso     analysis     inertial sensor     characterization    

Piezoelectric inertial robot for operating in small pipelines based on stick-slip mechanism: modeling

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 3, doi: 10.1007/s11465-022-0697-z

Abstract: A piezoelectric inertial pipeline robot using a “stick-slip” mechanism was proposed to address this requirementExperimental results show that the proposed pipeline robot with inertial stick-slip mechanism has a great

Keywords: pipeline robot     piezoelectric     inertial drive     stick-slip     large load capacity     dynamics model     small    

Modeling and analysis of controllable output property of cantilever-beam inertial sensors based on magnetic

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

Abstract: Magnetic fluid is first introduced into the traditional cantilever-beam senor. Based on the property of the cantilever-beam and the novel controllable mag-viscosity of magnetic fluid, the output of cantilever-beam sensors is under control so that the controllable output of the sensors can be realized. The mathematical model of the sensors is established and analyzed. The dynamic control function and the following educational results, which include the two curves of the displacement ratio and phase function with the different damping ratio and frequency ratio, are obtained based on the model. The result shows that it is valid to realize the controllable output of the sensors by controlling the viscosity of the magnetic fluid, and finally the expanded measurement range can be realized.

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

Abstract: The focus was particularly put on interpreting the technical strategies to innovate the biomedical sensor

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

Abstract: In this study, we propose a wireless smart toolholder with multi-sensor fusion for simultaneous sensing

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

Abstract: The micro flow sensor has merits of flexibility, structural simplicity, easy integrability with circuitsThe sensor, which adheres to an object surface, can detect the surface flow around the object.

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

Abstract: previous fault diagnosis methods only used vibration or pressure signal, and literatures related to multi-sensorThis paper presents an end-to-end multi-sensor data fusion method for the fault diagnosis of axial pistonResults show that the proposed multi-sensor data fusion method greatly improves the fault diagnosis of

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

Abstract: levitated optomechanics has gradually moved from basic research to application, especially in the field of inertialFinally, suggestions for developing the inertial sensing disruptive technology based on levitated optomechanicsare put forward, which can provide reference for the development planning of inertial sensing and quantum

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

Abstract: We report here a water-soluble metal cation sensor system based on the as-prepared or reduced form of

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

Abstract: This paper is concerned with inertial bidirectional associative memory neural networks with mixed delays

Keywords: Inertial neural networks     Anti-periodic solutions     Global exponential stability     Impulsive effect     Time-varying    

Method for a High-Acceleration Low-Load Mechanism Based on Optimal Spatial and Temporal Distribution of Inertial Article

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

Abstract: positioning of a high-acceleration mechanism based on optimal spatial and temporal distribution of inertialstatic loads method (ESLM), and then we selected the modified ESLM for optimal spatial distribution of inertial

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

Abstract:

● A cellphone-based colorimetric multi-channel sensor for in-field

Keywords: Colorimetric analysis     Multi-channel sensor     Cellphone     Water quality indexes     Environmental monitoring    

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    

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: Furthermore, to monitor large-scale structures, dense piezoelectric sensor networks are required, whichusually contain many piezoelectric sensor pairs called actuator-sensor channels.

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

A multi-sensor relation model for recognizing and localizing faults of machines based on network analysis

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 2, doi: 10.1007/s11465-022-0736-9

Abstract: Given the advantage of obtaining accurate diagnosis results, multi-sensor fusion has long been studiedproposing a global method to recognize fault types and localize fault sources with the help of multi-sensor

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

Biomedical sensor technologies on the platform of mobile phones

Lin LIU, Jing LIU

Journal Article

Development and testing of a wireless smart toolholder with multi-sensor fusion

Journal Article

Flexible micro flow sensor for micro aerial vehicles

Rong ZHU, Ruiyi QUE, Peng LIU

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

A multi-sensor relation model for recognizing and localizing faults of machines based on network analysis

Journal Article