Results 31 to 40 of about 9,953 (259)

A Digital Twin-Based Platform towards Intelligent Automation with Virtual Counterparts of Flight and Air Traffic Control Operations

Applied Sciences, 2021
Automation technologies have been deployed widely to boost the efficiency of production and operations, to trim the complicated process, and to reduce the human error involved.
Cho Yin Yiu, Kam K. H. Ng, Ching-Hung Lee, Chun Ting Chow, Tsz Ching Chan, Kwok Chun Li, Ka Yeung Wong   +6 more
doaj   +1 more source

Australian cardiac sonographers' use of industry guidelines when performing a transthoracic echocardiogram

Sonography, Volume 9, Issue 4, Page 156-165, December 2022., 2022
Abstract Introduction Clinical practice guidelines (CPG) are a component of evidence‐based practice allowing standardisation across departments and individuals' skill levels. Australian Cardiac Sonographers (ACS) are not obliged to follow specific CPG when performing a transthoracic echocardiogram (TTE).
Amy Maree Clark, Ann Elizabeth Quinton, Jennifer Alphonse   +2 more
wiley   +1 more source

The Advances of Immersive Virtual Reality Interventions for the Enhancement of Stress Management and Relaxation among Healthy Adults: A Systematic Review

Applied Sciences, 2022
The rapid changes in human contacts due to the COVID-19 crisis have not only posed a huge burden on the population’s health but may have also increased the demand for evidence-based psychological programs delivered through digital technology.
Maria Velana, Sabrina Sobieraj, Jan Digutsch, Gerhard Rinkenauer   +3 more
doaj   +1 more source

Estimation of Foot Plantar Center of Pressure Trajectories with Low-Cost Instrumented Insoles Using an Individual-Specific Nonlinear Model

Sensors, 2018
Postural control is a complex skill based on the interaction of dynamic sensorimotor processes, and can be challenging for people with deficits in sensory functions.
Xinyao Hu, Jun Zhao, Dongsheng Peng, Zhenglong Sun, Xingda Qu   +4 more
doaj   +1 more source

Continuous decision‐making for autonomous driving at intersections using deep deterministic policy gradient

IET Intelligent Transport Systems, 2022
Intersections have been identified as the most complex and accident‐prone traffic scenarios on road. Making appropriate decisions at intersections for driving safety, efficiency, and comfort become a challenging task for autonomous vehicles (AVs).
Guofa Li, Shenglong Li, Shen Li, Xingda Qu   +3 more
doaj   +1 more source

Restricted Kinematics in Children With Autism in the Execution of Complex Oscillatory Arm Movements

Frontiers in Human Neuroscience, 2021
Restricted and repetitive behavior is a core symptom of autism spectrum disorder (ASD) characterized by features of restrictedness, repetition, rigidity, and invariance.
Zhong Zhao, Xiaobin Zhang, Haiming Tang, Xinyao Hu, Xingda Qu, Jianping Lu, Qiongling Peng   +6 more
doaj   +1 more source

Analysis of interactive manufacturing systems: Towards a performance‐based assessment methodology

IET Collaborative Intelligent Manufacturing, Volume 4, Issue 4, Page 286-298, December 2022., 2022
Abstract Current manufacturing systems are forced to meet the most dynamic market demands under sustainable factors. However, not only technical transformations will address the challenge but, to fully cover social needs, the analysis of the human role in highly interactive systems is still decisive, following a socially sustainable approach.
Jose Antonio Mulet alberola, Irene Fassi
wiley   +1 more source

ML-ANet: A Transfer Learning Approach Using Adaptation Network for Multi-label Image Classification in Autonomous Driving

Chinese Journal of Mechanical Engineering, 2021
To reduce the discrepancy between the source and target domains, a new multi-label adaptation network (ML-ANet) based on multiple kernel variants with maximum mean discrepancies is proposed in this paper.
Guofa Li, Zefeng Ji, Yunlong Chang, Shen Li, Xingda Qu, Dongpu Cao   +5 more
doaj   +1 more source

Bibliometric analysis of human factors in aviation accident using MKD

IET Image Processing, EarlyView., 2021
Abstract This study aims to provide a better understanding of human factors and human performance mechanism in aviation accident analysis by visualisation and taxonomy analysis using mapping knowledge domain (MKD). An overview of aviation accident analysis involving human factors is first conducted, followed by an introduction of several conceptual ...
Ming Wan, Ying Liang, Lixin Yan, Tuqiang Zhou   +3 more
wiley   +1 more source

The Effect of Time Window Length on EEG-Based Emotion Recognition

Sensors, 2022
Various lengths of time window have been used in feature extraction for electroencephalogram (EEG) signal processing in previous studies. However, the effect of time window length on feature extraction for the downstream tasks such as emotion recognition
Delin Ouyang, Yufei Yuan, Guofa Li, Zizheng Guo   +3 more
doaj   +1 more source