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Application of Instantaneous Rotational Speed to Detect Gearbox Faults Based on Double Encoders

and detection. Guanghua Xu, born in 1964, is currently a professor at School of Mechanical Engineering, Xi’an Jiaotong University, and State Key Laboratory for Manufacturing Systems Engineering, Xi’an

Brain response to luminance-based and motion-based stimulation using inter-modulation frequencies

would like to thank the subjects for participating in these experiments and the anonymous reviewers for their helpful comments. Author Contributions Conceptualization: Xin Zhang, Guanghua Xu. Data ... curation: Xin Zhang. Formal analysis: Xin Zhang, Xun Zhang. Funding acquisition: Guanghua Xu. 16 / 18 Investigation: Xin Zhang, Jun Xie. Methodology: Xin Zhang, Jun Xie. Project administration: Guanghua

Human action recognition based on kinematic similarity in real time

Conceptualization: Qingqiang Wu, Guanghua Xu. Investigation: Ailing Luo. Methodology: Guanghua Xu. Software: Qingqiang Wu, Longting Chen. Supervision: Sicong Zhang. Writing ± original draft: Qingqiang Wu

Social-ecological transformations of Inner Mongolia: a sustainability perspective

information Guanghua Xu, Assistant Professor in School of Environmental & Resource Sciences, Zhejiang A&F University. Interested fields include system ecology, landscape ecology, and sustainability science

Klebsiella pneumoniae NdpA suppresses ERK pathway-mediated host early inflammatory responses and is degraded through the ubiquitin-proteasome pathway

Sciences, Beijing, China), Lingqiang Zhang (Beijing Institute of Radiation Medicine) and Youjun Feng (Zhejiang University) for providing our plasmids. Guanghua Xu, Jing Wang, and Cui Hua Liu declare that

Evaluation of stiffness feedback for hard nodule identification on a phantom silicone model

Haptic information in robotic surgery can significantly improve clinical outcomes and help detect hard soft-tissue inclusions that indicate potential abnormalities. Visual representation of tissue stiffness information is a cost-effective technique. Meanwhile, direct force feedback, although considerably more expensive than visual representation, is an intuitive method of...

Effects of Mental Load and Fatigue on Steady-State Evoked Potential Based Brain Computer Interface Tasks: A Comparison of Periodic Flickering and Motion-Reversal Based Visual Attention

Steady-state visual evoked potentials (SSVEP) based paradigm is a conventional BCI method with the advantages of high information transfer rate, high tolerance to artifacts and the robust performance across users. But the occurrence of mental load and fatigue when users stare at flickering stimuli is a critical problem in implementation of SSVEP-based BCIs. Based on...

Steady-State Motion Visual Evoked Potential (SSMVEP) Based on Equal Luminance Colored Enhancement

Steady-state visual evoked potential (SSVEP) is one of the typical stimulation paradigms of brain-computer interface (BCI). It has become a research approach to improve the performance of human-computer interaction, because of its advantages including multiple objectives, less recording electrodes for electroencephalogram (EEG) signals, and strong anti-interference capacity...

An Adaptive Support Vector Regression Machine for the State Prognosis of Mechanical Systems

Due to the unsteady state evolution of mechanical systems, the time series of state indicators exhibits volatile behavior and staged characteristics. To model hidden trends and predict deterioration failure utilizing volatile state indicators, an adaptive support vector regression (ASVR) machine is proposed. In ASVR, the width of an error-insensitive tube, which is a constant in...

Manifold Learning with Self-Organizing Mapping for Feature Extraction of Nonlinear Faults in Rotating Machinery

A new method for extracting the low-dimensional feature automatically with self-organization mapping manifold is proposed for the detection of rotating mechanical nonlinear faults (such as rubbing, pedestal looseness). Under the phase space reconstructed by single vibration signal, the self-organization mapping (SOM) with expectation maximization iteration algorithm is used to...

The Study of Object-Oriented Motor Imagery Based on EEG Suppression

Motor imagery is a conventional method for brain computer interface and motor learning. To avoid the great individual difference of the motor imagery ability, object-oriented motor imagery was applied, and the effects were studied. Kinesthetic motor imagery and visual observation were administered to 15 healthy volunteers. The EEG during cue-based simple imagery (SI), object...

Evaluation of Pseudo-Haptic Interactions with Soft Objects in Virtual Environments

This paper proposes a pseudo-haptic feedback method conveying simulated soft surface stiffness information through a visual interface. The method exploits a combination of two feedback techniques, namely visual feedback of soft surface deformation and control of the indenter avatar speed, to convey stiffness information of a simulated surface of a soft object in virtual...

Simulating Society Transitions: Standstill, Collapse and Growth in an Evolving Network Model

We developed a model society composed of various occupations that interact with each other and the environment, with the capability of simulating three widely recognized societal transition patterns: standstill, collapse and growth, which are important compositions of society evolving dynamics. Each occupation is equipped with a number of inhabitants that may randomly flow to...

Insights into battles between Mycobacterium tuberculosis and macrophages

. COMPLIANCE WITH ETHICS GUIDELINES Guanghua Xu, Jing Wang, George Fu Gao, and Cui Hua Liu declare that they have no conflict of interest. This article does not contain any studies with human or animal subjects

Addition of visual noise boosts evoked potential-based brain-computer interface

University, Xi'an 710049, ChinaJun Xie, Guanghua Xu, Jing Wang, Sicong Zhang, Feng Zhang, Yeping Li, Chengcheng Han & Lili LiState Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong ... University, Xi'an 710049, ChinaGuanghua Xu AuthorsSearch for Jun Xie in:Nature Research journals • PubMed • Google ScholarSearch for Guanghua Xu in:Nature Research journals • PubMed • Google ScholarSearch for

Steady-State Motion Visual Evoked Potentials Produced by Oscillating Newton's Rings: Implications for Brain-Computer Interfaces

In this study, we utilize a special visual stimulation protocol, called motion reversal, to present a novel steady-state motion visual evoked potential (SSMVEP)-based BCI paradigm that relied on human perception of motions oscillated in two opposite directions. Four Newton's rings with the oscillating expansion and contraction motions served as visual stimulators to elicit...