All Outputs (13)

Intelligent Control Interfaces Using Extenics Multidimensional Theory Applied on VIPRO Platforms for Developing the IT INDUSTRY 4.0 Concept (2019)
Journal Article
Vladareanu, L., Vladareanu, V., Yu, H., Mitroi, D., & Ciocîrlan, A.-C. (2019). Intelligent Control Interfaces Using Extenics Multidimensional Theory Applied on VIPRO Platforms for Developing the IT INDUSTRY 4.0 Concept. IFAC-PapersOnLine, 52(13), 922-927. https://doi.org/10.1016/j.ifacol.2019.11.312

The paper presents new concepts and approaches to achieving intelligent control interfaces for solving contradictory problems using Extenics multidimensional theory applied on VIPRO Versatile Intelligent Portable Platforms. VIPRO platform enables dev... Read More about Intelligent Control Interfaces Using Extenics Multidimensional Theory Applied on VIPRO Platforms for Developing the IT INDUSTRY 4.0 Concept.

How firms in emerging economies can learn industry 4.0 by extracting knowledge from their foreign partners? A view point from strategic management perspective (2019)
Presentation / Conference Contribution
Shamim, S., Cang, S., Yu, H., Li, Y., Chen, L. Y., & Yao, X. (2019, August). How firms in emerging economies can learn industry 4.0 by extracting knowledge from their foreign partners? A view point from strategic management perspective. Presented at 2019 International Conference on Advanced Mechatronic Systems (ICAMechS), Kusatsu, Shiga, Japan

This study offers a view point from a strategic management perspective which shows that firms in emerging economies can learn Industry 4.0 from their foreign partners operating from developed economies, by developing knowledge based dynamic capabilit... Read More about How firms in emerging economies can learn industry 4.0 by extracting knowledge from their foreign partners? A view point from strategic management perspective.

Design and Modelling of a Micro Swimming Robot (2019)
Presentation / Conference Contribution
Yuan, F., Hasan, M. S., & Yu, H. (2019, August). Design and Modelling of a Micro Swimming Robot. Presented at 2019 International Conference on Advanced Mechatronic Systems (ICAMechS), Kusatsu, Shiga, Japan

Swimming micro-robots i.e., micro-swimmers have many applications in various areas e.g., investigation, repair, rescue etc. for industrial equipment, space exploration, human body etc. Fortunately, the micro-swimmers can be regarded as swimming in lo... Read More about Design and Modelling of a Micro Swimming Robot.

Adaptive neural network tracking control for underactuated systems with matched and mismatched disturbances (2019)
Journal Article
Liu, P., Yu, H., & Cang, S. (2019). Adaptive neural network tracking control for underactuated systems with matched and mismatched disturbances. Nonlinear Dynamics, 98(2), 1447-1464. https://doi.org/10.1007/s11071-019-05170-8

This paper studies neural network-based tracking control of underactuated systems with unknown parameters and with matched and mismatched disturbances. Novel adaptive control schemes are proposed with the utilization of multi-layer neural networks, a... Read More about Adaptive neural network tracking control for underactuated systems with matched and mismatched disturbances.

An empirical study on assistive technology supported travel and tourism for the people with dementia (2019)
Journal Article
Asghar, I., Cang, S., & Yu, H. (2020). An empirical study on assistive technology supported travel and tourism for the people with dementia. Disability and Rehabilitation: Assistive Technology, 15(8), 933-944. https://doi.org/10.1080/17483107.2019.1629119

Purpose: Research shows that people with disabilities have same desire for travel and tourism as others, but many constraints prevent them from independent travelling. Although the disabled tourism market is expanding, still there is lack of empirica... Read More about An empirical study on assistive technology supported travel and tourism for the people with dementia.

A soft continuum robot, with a large variable-stiffness range, based on jamming (2019)
Journal Article
Zhao, Y., Shan, Y., Zhang, J., Guo, K., Qi, L., Han, L., & Yu, H. (2019). A soft continuum robot, with a large variable-stiffness range, based on jamming. Bioinspiration and Biomimetics, 14(6), Article 066007. https://doi.org/10.1088/1748-3190/ab3d1b

Inspired by the physiological structure of the hand capable of realizing the continuous change in finger stiffness when grasping objects of different masses, a self-locking soft continuum robot with a large variable-stiffness range based on particle... Read More about A soft continuum robot, with a large variable-stiffness range, based on jamming.

Single-Trial Classification of Different Movements on One Arm Based on ERD/ERS and Corticomuscular Coherence (2019)
Journal Article
Tang, Z., Yu, H., Lu, C., Liu, P., & Jin, X. (2019). Single-Trial Classification of Different Movements on One Arm Based on ERD/ERS and Corticomuscular Coherence. IEEE Access, 7, 128185-128197. https://doi.org/10.1109/ACCESS.2019.2940034

Electroencephalography (EEG)-based brain-machine interface (BMI) is widely applied to control external devices like a wheel chair or a robotic arm, to restore motor function. EEG is useful to distinguish between left arm and right arm movements, howe... Read More about Single-Trial Classification of Different Movements on One Arm Based on ERD/ERS and Corticomuscular Coherence.

Mutual information inspired feature selection using kernel canonical correlation analysis (2019)
Journal Article
Wang, Y., Cang, S., & Yu, H. (2019). Mutual information inspired feature selection using kernel canonical correlation analysis. Expert Systems with Applications, 4, Article 100014. https://doi.org/10.1016/j.eswax.2019.100014

This paper proposes a filter-based feature selection method by combining the measurement of kernel canonical correlation analysis (KCCA) with the mutual information (MI)-based feature selection method, named mRMJR-KCCA. The mRMJR-KCCA maximizes the r... Read More about Mutual information inspired feature selection using kernel canonical correlation analysis.

Design and Experimental Study of a New Flexible Driven Parallel Soft Massage Robot (2019)
Presentation / Conference Contribution
Zhao, Y., Wei, H., Li, P., Li, G., Qi, L., & Yu, H. (2019, August). Design and Experimental Study of a New Flexible Driven Parallel Soft Massage Robot. Presented at 12th International Conference, ICIRA 2019, Shenyang, China

In recent years, the demand for massage robots has increased dramatically in the field of Medical care. Traditional massage robots are mostly rigid robots. Compared with rigid robots, soft robots are more suitable for massage because of their softnes... Read More about Design and Experimental Study of a New Flexible Driven Parallel Soft Massage Robot.

Leader-following consensus for high-order stochastic multi-agent systems via dynamic output feedback control (2019)
Journal Article
You, X., Hua, C.-C., Yu, H.-N., & Guan, X.-P. (2019). Leader-following consensus for high-order stochastic multi-agent systems via dynamic output feedback control. Automatica, 107, 418-424. https://doi.org/10.1016/j.automatica.2019.06.006

This paper studies the leader-following consensus problem for high-order stochastic nonlinear multi-agent systems. Each agent is in the strict feedback form with nonlinear functions in drift and diffusion terms and admitting time-varying incremental... Read More about Leader-following consensus for high-order stochastic multi-agent systems via dynamic output feedback control.

A survey on wearable sensor modality centred human activity recognition in health care (2019)
Journal Article
Wang, Y., Cang, S., & Yu, H. (2019). A survey on wearable sensor modality centred human activity recognition in health care. Expert Systems with Applications, 137, 167-190. https://doi.org/10.1016/j.eswa.2019.04.057

Increased life expectancy coupled with declining birth rates is leading to an aging population structure. Aging-caused changes, such as physical or cognitive decline, could affect people's quality of life, result in injuries, mental health or the lac... Read More about A survey on wearable sensor modality centred human activity recognition in health care.

Intelligent swarm firefly algorithm for the prediction of China's national electricity consumption (2019)
Journal Article
Zhang, G., Chen, Y., Li, Y., Yu, H., Hu, H., & Wu, S. (2019). Intelligent swarm firefly algorithm for the prediction of China's national electricity consumption. International Journal of Bio-Inspired Computation, 13(2), 111-118. https://doi.org/10.1504/ijbic.2019.098407

China's energy consumption is the world's largest and is still rising, leading to concerns of energy shortage and environmental issues. It is, therefore, necessary to estimate the energy demand and to examine the dynamic nature of the electricity con... Read More about Intelligent swarm firefly algorithm for the prediction of China's national electricity consumption.

Performance Optimization of the IEEE 802.15.4-Based Link Quality Protocols for WBASNs/IoTs in a Hospital Environment Using Fuzzy Logic (2019)
Journal Article
Akbar, M. S., Yu, H., & Cang, S. (2019). Performance Optimization of the IEEE 802.15.4-Based Link Quality Protocols for WBASNs/IoTs in a Hospital Environment Using Fuzzy Logic. IEEE Sensors Journal, 19(14), 5865-5877. https://doi.org/10.1109/jsen.2019.2900009

The link quality protocols of the IEEE 802.15.4 show low performance in terms of reliability in a hospital environment. To achieve the optimal performance of these protocols, this paper proposes a fuzzy logic-based solution using a detailed empirical... Read More about Performance Optimization of the IEEE 802.15.4-Based Link Quality Protocols for WBASNs/IoTs in a Hospital Environment Using Fuzzy Logic.