All Outputs (170)

User Emotion Direction for Recommendation Systems-A Decade Review (2021)
Presentation / Conference Contribution
Chanrueang, S., Thammaboosadee, S., Goh, K., & Yu, H. (2021, September). User Emotion Direction for Recommendation Systems-A Decade Review. Presented at 2021 26th International Conference on Automation and Computing (ICAC), Portsmouth

Recommendation systems are rapidly gaining popularity in software development, including e-commerce, news, advertising, social networking, and entertainment. It filters appropriate information for user decisions. The most popular approaches of recomm... Read More about User Emotion Direction for Recommendation Systems-A Decade Review.

Electromyographic Signal Based Dynamic Hand Gesture Recognition Using Transfer Learning (2021)
Presentation / Conference Contribution
Song, S., Yang, L., Huo, B., Wu, M., Liu, Y., & Yu, H. Electromyographic Signal Based Dynamic Hand Gesture Recognition Using Transfer Learning. Presented at 2021 Chinese Intelligent Automation Conference, Zhanjiang, China

Recent years, the research of gesture recognition based on surface EMG signal has become an active topic. The conventional methods mainly focus on feature engineering, but the sEMG signal is non-stationary temporally, which makes proper feature desig... Read More about Electromyographic Signal Based Dynamic Hand Gesture Recognition Using Transfer Learning.

Observer-Based Adaptive Sliding Mode Control for Soft Actuators with Input Constraints (2021)
Presentation / Conference Contribution
Cao, G., Shi, H., Xia, D., Zheng, Y., Liu, Y., & Yu, H. Observer-Based Adaptive Sliding Mode Control for Soft Actuators with Input Constraints. Presented at 2021 Chinese Intelligent Automation Conference, Zhanjiang, China

Fabricated by superelastic materials, soft actuators are an emerging field to provide a solution of safe interaction with complicated, unstructured and frequently brittle work environments, while they also bear challenges in fragility and controlling... Read More about Observer-Based Adaptive Sliding Mode Control for Soft Actuators with Input Constraints.

Quantized model-free adaptive iterative learning bipartite consensus tracking for unknown nonlinear multi-agent systems (2021)
Journal Article
Zhao, H., Peng, L., & Yu, H. (2022). Quantized model-free adaptive iterative learning bipartite consensus tracking for unknown nonlinear multi-agent systems. Applied Mathematics and Computation, 412, Article 126582. https://doi.org/10.1016/j.amc.2021.126582

This paper considers the data quantization problem for a class of unknown nonaffine nonlinear discrete-time multi-agent systems (MASs) under repetitive operations to achieve bipartite consensus tracking. Here, a quantized distributed model-free adapt... Read More about Quantized model-free adaptive iterative learning bipartite consensus tracking for unknown nonlinear multi-agent systems.

Model-free adaptive consensus tracking control for unknown nonlinear multi-agent systems with sensor saturation (2021)
Journal Article
Zhao, H., Peng, L., & Yu, H. (2021). Model-free adaptive consensus tracking control for unknown nonlinear multi-agent systems with sensor saturation. International Journal of Robust and Nonlinear Control, 31(13), 6473-6491. https://doi.org/10.1002/rnc.5630

This article proposes a distributed model-free adaptive consensus tracking control (DMFACTC) approach for a class of unknown heterogeneous nonlinear discrete-time multi-agent systems (MASs) with sensor saturation and measurement disturbance to perfor... Read More about Model-free adaptive consensus tracking control for unknown nonlinear multi-agent systems with sensor saturation.

Interoperability of the future factory: an overview of concepts and research challenges (2020)
Journal Article
Xu, L., Vrieze, P. D., Yu, H., Phalp, K., & Bai, Y. (2020). Interoperability of the future factory: an overview of concepts and research challenges. International Journal of Mechatronics and Manufacturing Systems, 13(1), 3-27. https://doi.org/10.1504/ijmms.2020.108333

Interoperability is a key factor in implementing a virtual factory. In European Union context interoperability is the ability of organisations to interact towards mutually beneficial goals, involving the sharing of information and knowledge between t... Read More about Interoperability of the future factory: an overview of concepts and research challenges.

An Improved Genetic-Shuffled Frog-Leaping Algorithm for Permutation Flowshop Scheduling (2020)
Journal Article
Wu, P., Yang, Q., Chen, W., Mao, B., & Yu, H. (2020). An Improved Genetic-Shuffled Frog-Leaping Algorithm for Permutation Flowshop Scheduling. Complexity, 2020, Article 3450180. https://doi.org/10.1155/2020/3450180

Due to the NP-hard nature, the permutation flowshop scheduling problem (PFSSP) is a fundamental issue for Industry 4.0, especially under higher productivity, efficiency, and self-managing systems. This paper proposes an improved genetic-shuffled frog... Read More about An Improved Genetic-Shuffled Frog-Leaping Algorithm for Permutation Flowshop Scheduling.

A survey on underactuated robotic systems: Bio-inspiration, trajectory planning and control (2020)
Journal Article
Liu, P., Huda, M. N., Sun, L., & Yu, H. (2020). A survey on underactuated robotic systems: Bio-inspiration, trajectory planning and control. Mechatronics, 72, 102443. https://doi.org/10.1016/j.mechatronics.2020.102443

Underactuated robotic systems have become an important research topic aiming at significant improvement of the behavioural performance and energy efficiency. Adopting some bio-inspired ideas and properties, the self-organisation and main tasks of the... Read More about A survey on underactuated robotic systems: Bio-inspiration, trajectory planning and control.

Validity and Consistency of Concurrent Extraction of Gait Features Using Inertial Measurement Units and Motion Capture System (2020)
Journal Article
Anwary, A. R., Yu, H., Callaway, A., & Vassallo, M. (2021). Validity and Consistency of Concurrent Extraction of Gait Features Using Inertial Measurement Units and Motion Capture System. IEEE Sensors Journal, 21(2), 1625-1634. https://doi.org/10.1109/jsen.2020.3021501

Conditions causing gait abnormalities are very common and their treatment requires the detailed assessment of gait. Currently such assessments are carried out in gait laboratories and require the use of complex and expensive equipment. To increase av... Read More about Validity and Consistency of Concurrent Extraction of Gait Features Using Inertial Measurement Units and Motion Capture System.

An Improved Adaptive Genetic Algorithm for Mobile Robot Path Planning Analogous to the Ordered Clustered TSP (2020)
Presentation / Conference Contribution
Jiang, J., Yao, X., Yang, E., Mehnen, J., & Yu, H. (2020, July). An Improved Adaptive Genetic Algorithm for Mobile Robot Path Planning Analogous to the Ordered Clustered TSP. Presented at 2020 IEEE Congress on Evolutionary Computation (CEC), Glasgow, United Kingdom

The material transportation planning with a mobile robot can be regarded as the ordered clustered traveling salesman problem. To solve such problems with different priorities at stations, an improved adaptive genetic simulated annealing algorithm is... Read More about An Improved Adaptive Genetic Algorithm for Mobile Robot Path Planning Analogous to the Ordered Clustered TSP.

Data Driven Distributed Bipartite Consensus Tracking for Nonlinear Multiagent Systems via Iterative Learning Control (2020)
Journal Article
Zhao, H., Peng, L., & Yu, H. (2020). Data Driven Distributed Bipartite Consensus Tracking for Nonlinear Multiagent Systems via Iterative Learning Control. IEEE Access, 8, 144718-144729. https://doi.org/10.1109/access.2020.3014496

This article explores a data-driven distributed bipartite consensus tracking (DBCT) problem for discrete-time multi-agent systems (MASs) with coopetition networks under repeatable operations. To solve this problem, a time-varying linearization model... Read More about Data Driven Distributed Bipartite Consensus Tracking for Nonlinear Multiagent Systems via Iterative Learning Control.

Distributed Model-Free Bipartite Consensus Tracking for Unknown Heterogeneous Multi-Agent Systems with Switching Topology (2020)
Journal Article
Zhao, H., Peng, L., & Yu, H. (2020). Distributed Model-Free Bipartite Consensus Tracking for Unknown Heterogeneous Multi-Agent Systems with Switching Topology. Sensors, 20(15), Article 4164. https://doi.org/10.3390/s20154164

This paper proposes a distributed model-free adaptive bipartite consensus tracking (DMFABCT) scheme. The proposed scheme is independent of a precise mathematical model, but can achieve both bipartite time-invariant and time-varying trajectory trackin... Read More about Distributed Model-Free Bipartite Consensus Tracking for Unknown Heterogeneous Multi-Agent Systems with Switching Topology.

Analysis of a novel six-degree of freedom foldable parallel mechanism with optimized under-balance springs (2020)
Journal Article
Wang, C., Zhao, T., Yu, H., Li, E., Tian, X., & Ding, S. (2021). Analysis of a novel six-degree of freedom foldable parallel mechanism with optimized under-balance springs. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 235(4), 670-692. https://doi.org/10.1177/0954406220936728

The capacities of parallel mechanisms are limited by their height for the narrow space applications, such as the shipboard stability platforms, household simulators, aerospace mechanisms, etc. This paper proposes a novel foldable six-DOF parallel man... Read More about Analysis of a novel six-degree of freedom foldable parallel mechanism with optimized under-balance springs.

Gait quantification and visualization for digital healthcare (2020)
Journal Article
Anwary, A. R., Yu, H., & Vassallo, M. (2020). Gait quantification and visualization for digital healthcare. Health Policy and Technology, 9(2), 204-212. https://doi.org/10.1016/j.hlpt.2019.12.004

Gait abnormalities are common in clinical practice and there is a global imperative to improve technologies that facilitate their detection, evaluation, monitoring and management. Real time evaluation using digital technology supports the development... Read More about Gait quantification and visualization for digital healthcare.

The Impact of Assistive Software Application to Facilitate People with Dementia through Participatory Research (2020)
Journal Article
Asghar, I., Cang, S., & Yu, H. (2020). The Impact of Assistive Software Application to Facilitate People with Dementia through Participatory Research. International Journal of Human-Computer Studies, 143, Article 102471. https://doi.org/10.1016/j.ijhcs.2020.102471

Due to the ever-increasing number of people with dementia (PWD), the researchers are challenged with finding innovative ways for their wellbeing. This study explores the development and usability of a software application named the assistive brotherh... Read More about The Impact of Assistive Software Application to Facilitate People with Dementia through Participatory Research.

Modeling and Experimental Study of a Novel Multi-DOF Parallel Soft Robot (2020)
Journal Article
Zhang, J., Wei, H., Shan, Y., Li, P., Zhao, Y., Qi, L., & Yu, H. (2020). Modeling and Experimental Study of a Novel Multi-DOF Parallel Soft Robot. IEEE Access, 8, 62932-62942. https://doi.org/10.1109/access.2020.2983260

In view of the demand for flexible drive and large load of the soft robot in the practical application, a novel type of flexible-actuated multi-degree-of-freedom (multi-DOF) parallel soft robot is designed. The proposed robot in parallel combination... Read More about Modeling and Experimental Study of a Novel Multi-DOF Parallel Soft Robot.

Modelling and Motion Analysis of a Pill-Sized Hybrid Capsule Robot (2020)
Journal Article
Huda, M. N., Liu, P., Saha, C., & Yu, H. (2020). Modelling and Motion Analysis of a Pill-Sized Hybrid Capsule Robot. Journal of Intelligent and Robotic Systems, 100, 753–764. https://doi.org/10.1007/s10846-020-01167-3

This paper presents a miniature hybrid capsule robot for minimally invasive in-vivo interventions such as capsule endoscopy within the GI (gastrointestinal) tract. It proposes new modes of operation for the hybrid robot namely hybrid mode and anchori... Read More about Modelling and Motion Analysis of a Pill-Sized Hybrid Capsule Robot.

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.