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An experimental characterization of human torso motion
Daniele CAFOLLA,I-Ming CHEN,Marco CECCARELLI
《机械工程前沿(英文)》 2015年 第10卷 第4期 页码 311-325 doi: 10.1007/s11465-015-0352-z
The torso plays an important role in the human-like operation of humanoids. In this paper, a method is proposed to analyze the behavior of the human torso by using inertial and magnetic sensing tools. Experiments are conducted to characterize the motion performance of the human torso during daily routine operations. Furthermore, the forces acting on the human body during these operations are evaluated to design and validate the performance of a humanoid robot.
关键词: experimental biomechanics human torso analysis inertial sensor characterization
《机械工程前沿(英文)》 2022年 第17卷 第3期 doi: 10.1007/s11465-022-0697-z
关键词: pipeline robot piezoelectric inertial drive stick-slip large load capacity dynamics model small pipeline
Guixiong LIU, Peiqiang ZHANG, Chen XU
《机械工程前沿(英文)》 2009年 第4卷 第2期 页码 129-133 doi: 10.1007/s11465-009-0035-8
关键词: sensors magnetic fluid property of mag-viscosity controllable output
Biomedical sensor technologies on the platform of mobile phones
Lin LIU, Jing LIU
《机械工程前沿(英文)》 2011年 第6卷 第2期 页码 160-175 doi: 10.1007/s11465-011-0216-0
Biomedical sensors have been widely used in various areas of biomedical practices, which play an important role in disease detection, diagnosis, monitoring, treatment, health management, and so on. However, most of them and their related platforms are generally not easily accessible or just too expensive or complicated to be kept at home. As an alternative, new technologies enabled from the mobile phones are gradually changing such situations. As can be freely available to almost everyone, mobile phone offers a unique way to improve the conventional medical care through combining with various biomedical sensors. Moreover, the established systems will be both convenient and low cost. In this paper, we present an overview on the state-of-art biomedical sensors, giving a brief introduction of the fundamental principles and showing several new examples or concepts in the area. The focus was particularly put on interpreting the technical strategies to innovate the biomedical sensor technologies based on the platform of mobile phones. Some challenging issues, including feasibility, usability, security, and effectiveness, were discussed. With the help of electrical and mechanical technologies, it is expected that a full combination between the biomedical sensors and mobile phones will bring a bright future for the coming pervasive medical care.
关键词: biomedical sensor pervasive technology mobile phone combined system health management
Development and testing of a wireless smart toolholder with multi-sensor fusion
《机械工程前沿(英文)》 2023年 第18卷 第4期 doi: 10.1007/s11465-023-0774-y
关键词: wireless smart toolholder multi-sensor fusion circular runout dynamic balancing static stiffness dynamic inherent frequency
Flexible micro flow sensor for micro aerial vehicles
Rong ZHU, Ruiyi QUE, Peng LIU
《机械工程前沿(英文)》 2017年 第12卷 第4期 页码 539-545 doi: 10.1007/s11465-017-0427-0
This article summarizes our studies on micro flow sensors fabricated on a flexible polyimide circuit board by a low-cost hybrid process of thin-film deposition and circuit printing. The micro flow sensor has merits of flexibility, structural simplicity, easy integrability with circuits, and good sensing performance. The sensor, which adheres to an object surface, can detect the surface flow around the object. In our study, we install the fabricated micro flow sensors on micro aerial vehicles (MAVs) to detect the surface flow variation around the aircraft wing and deduce the aerodynamic parameters of the MAVs in flight. Wind tunnel experiments using the sensors integrated with the MAVs are also conducted.
关键词: 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
《机械工程前沿(英文)》 2022年 第17卷 第3期 doi: 10.1007/s11465-022-0692-4
关键词: axial piston pump fault diagnosis convolutional neural network multi-sensor data fusion
胡慧珠,尹璋琦,李楠,车双良,舒晓武,刘承
《中国工程科学》 2018年 第20卷 第6期 页码 112-116 doi: 10.15302/J-SSCAE-2018.06.018
悬浮光力学是光力学与量子光学结合的产物,为微纳机械振子的控制和测量提供了一种全新的量子方法,这种方法具有前所未有的观测精度,可接近甚至突破标准量子极限,具有广阔的发展和应用前景。目前国际上已在室温下利用此系统实现了力、力矩、位移、加速度等多个物理量的极高灵敏度测量。本文综述了悬浮光力学的研究现状及国内外在精密传感与测量方面的进展。作为近年来发展起来的一种前沿技术,悬浮光力学已逐渐从基础研究走向应用,特别是对惯性传感与精密测量领域有重要的应用前景。最后提出了发展基于悬浮光力学的惯性传感颠覆性技术的建议,为我国惯性传感与量子精密测量技术发展规划的制定提供参考。
Reduced texaphyrin: A ratiometric optical sensor for heavy metals in aqueous solution
Harrison D. Root, Gregory Thiabaud, Jonathan L. Sessler
《化学科学与工程前沿(英文)》 2020年 第14卷 第1期 页码 19-27 doi: 10.1007/s11705-019-1888-y
关键词: texaphyrin fluorescent sensor ion-sensing indium mercury
脉冲型惯性双向联想记忆神经网络新解 Research Articles
Chaouki AOUITI, Mahjouba Ben REZEG, Yang CAO
《信息与电子工程前沿(英文)》 2020年 第21卷 第2期 页码 324-339 doi: 10.1631/FITEE.1900181
基于惯性能时空最优分布的高加速轻载机构精密定位方法 Article
陈新,白有盾,杨志军,高健,陈贡发
《工程(英文)》 2015年 第1卷 第3期 页码 391-398 doi: 10.15302/J-ENG-2015063
高速运动精密定位是微电子封装设备中高加速轻载执行机构的基本运动需求。本文推导了高加速机构瞬态非线性动力学响应方程,揭示了刚度、频率、阻尼 (与材料空间布局相关) 和驱动频率 (与运动规划相关) 是主要影响因素。据此,在满足高加速机构精密定位的条件下,笔者提出了一种基于最优非线性动力学响应的结构优化和速度规划新方法。在结构优化中,首先分析了目前流行的基于等效静态载荷的柔性多体动力学优化方法未充分考虑惯性载荷的不足,然后提出了基于等效模态的柔性多体动力学最优动态响应优化新方法;在速度规划上,针对传统的几何光滑方法不能反映系统动态特性的缺陷,提出了基于变边界条件非线性动力学响应优化的速度规划新方法。将所提方法应用到高速固晶焊头的优化设计中,通过结构优化,降低振幅超过20%,再经非对称变加速规划,缩短定位时间超过40%。本文提出的方法为微电子封装类装备等高加速轻载机构精密定位的实现提供了有效的理论支撑和解决途径。
A cellphone-based colorimetric multi-channel sensor for water environmental monitoring
《环境科学与工程前沿(英文)》 2022年 第16卷 第12期 doi: 10.1007/s11783-022-1590-z
● A cellphone-based colorimetric multi-channel sensor for in-field detection.
关键词: Colorimetric analysis Multi-channel sensor Cellphone Water quality indexes Environmental monitoring
《环境科学与工程前沿(英文)》 2023年 第17卷 第6期 doi: 10.1007/s11783-023-1667-3
● Hybrid deep-learning model is proposed for water quality prediction.
关键词: Water quality prediction Soft-sensor Anaerobic process Tree-structured Parzen Estimator
Low crosstalk switch unit for dense piezoelectric sensor networks
Lei QIU, Shenfang YUAN,
《机械工程前沿(英文)》 2009年 第4卷 第4期 页码 401-406 doi: 10.1007/s11465-009-0047-4
关键词: structural health monitoring (SHM) piezoelectric (PZT) sensor networks switch unit crosstalk signal
《机械工程前沿(英文)》 2023年 第18卷 第2期 doi: 10.1007/s11465-022-0736-9
关键词: fault recognition fault localization multi-sensor relations network analysis graph neural network
标题 作者 时间 类型 操作
An experimental characterization of human torso motion
Daniele CAFOLLA,I-Ming CHEN,Marco CECCARELLI
期刊论文
Piezoelectric inertial robot for operating in small pipelines based on stick-slip mechanism: modeling
期刊论文
Modeling and analysis of controllable output property of cantilever-beam inertial sensors based on magnetic
Guixiong LIU, Peiqiang ZHANG, Chen XU
期刊论文
Reduced texaphyrin: A ratiometric optical sensor for heavy metals in aqueous solution
Harrison D. Root, Gregory Thiabaud, Jonathan L. Sessler
期刊论文
Water quality soft-sensor prediction in anaerobic process using deep neural network optimized by Tree-structured
期刊论文