Article
Engineering, Biomedical
Chiara Di Vece, Cristian Luciano, Elena De Momi
Summary: The study developed a novel VR and haptic surgical simulator for trainees to learn VN insertion, showing good learning effects and popularity in the experiment. Two implementations focus on training of psychomotor skills and visualization of surgical environment respectively.
INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY
(2021)
Review
Chemistry, Multidisciplinary
Hedan Bai, Shuo Li, Robert F. Shepherd
Summary: The article explores the development and challenges of virtual and augmented reality technologies, particularly in the field of haptics. It suggests that soft robotics may offer potential solutions to overcome the difficulties in developing soft haptic output and input devices.
ADVANCED FUNCTIONAL MATERIALS
(2021)
Review
Chemistry, Multidisciplinary
Kaushik Parida, Hyunwoo Bark, Pooi See Lee
Summary: In the rapidly advancing field of augmented reality/virtual reality, thermal technology plays a crucial role in enhancing realism and user experience, allowing for improved object recognition and discrimination through thermal stimulation or sensing.
ADVANCED FUNCTIONAL MATERIALS
(2021)
Article
Computer Science, Artificial Intelligence
Vishawash Kumar, Sahil Gulati, Bhargab Deka, Himangshu Sarma
Summary: In this article, the development and use of a VR based teaching-learning system for crystal structures are discussed. The study results showed that VR based learning approach is more effective compared to traditional book/video studies, with an average score of 93.81% in comparison to 56.74% for traditional methods. Participants found the VR experience interactive, motivating, and helpful to learn elusive concepts.
ADVANCED ENGINEERING INFORMATICS
(2021)
Article
Surgery
Anishan Vamadevan, Lars Konge, Morten Stadeager, Flemming Bjerrum
Summary: The study investigated the effect of adding haptic simulators to a proficiency-based laparoscopy training program. The results showed that haptic simulators reduced the time to reach proficiency compared to non-haptic simulators. However, the acquired skills were not transferable to the conventional non-haptic setting.
SURGICAL ENDOSCOPY AND OTHER INTERVENTIONAL TECHNIQUES
(2023)
Article
Computer Science, Interdisciplinary Applications
Josef Wolfartsberger, Robert Zimmermann, Gabriele Obermeier, Daniel Niedermayr
Summary: Virtual Reality (VR) in industry has the potential to reduce costs, maintain product quality, and shorten the time to production. It can also be used for training simulations. However, there is a lack of scientific findings on the effectiveness of virtual learning and training in industrial applications. This article investigates the impact of VR-supported training on learning outcomes compared to traditional on-the-job training.
COMPUTERS IN INDUSTRY
(2023)
Article
Engineering, Biomedical
Hui Yan, Philippe S. Archambault
Summary: This study found that providing augmented feedback in a virtual reality environment is effective for improving motor learning and transfer of appropriate manual wheelchair propulsion technique. Different feedback delivery schedules have some impact on the outcomes, but the differences are not significant.
JOURNAL OF NEUROENGINEERING AND REHABILITATION
(2021)
Article
Mechanics
Tuong Phuoc Tho, Nguyen Truong Thinh
Summary: This paper presents a study on modeling, analysis, and control of an over-constrained Cable-Driven Parallel Robot, considering the deformation of the cable transmission system and the tension distribution. The research focuses on designing a nonlinear cable length controller with tension feedback to improve the accuracy of motion control.
MECHANICS BASED DESIGN OF STRUCTURES AND MACHINES
(2023)
Article
Multidisciplinary Sciences
Omur Kaya Kalkan, Sener Karabulut, Gurhan Hoke
Summary: This study shows that a VR-based training method can improve industrial product assembly performance and quality, reduce training time, and lower assembly flaw rates effectively. It also demonstrates the lasting impact of VR training in complex industrial maintenance and assembly tasks.
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
(2021)
Article
Engineering, Marine
Kwang-Phil Park, Seung-Ho Ham, Woo-Yong Lee, Byeong-Woo Yoo
Summary: A transporter training simulator based on virtual reality is developed in this study, allowing transporter operators to be trained anytime, anywhere without actual equipment and training place. The simulator includes models of the transporter and the shipyard, implementation of transporter operations, vehicle dynamics model, network function, and scenario module.
INTERNATIONAL JOURNAL OF NAVAL ARCHITECTURE AND OCEAN ENGINEERING
(2023)
Article
Engineering, Marine
Rui Tao, Hongxiang Ren, Yi Zhou
Summary: In response to the lack of comprehensive understanding of ship firefighting equipment operation among marine students, we developed a ship firefighting training simulator. The simulator features multi-sensory human-computer interaction and utilizes three-dimensional modeling technology for ship models. We also proposed a new smoke simulation method to enhance the realism of training scenarios.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2022)
Article
Medicine, General & Internal
Alan Kawarai Lefor, Saul Alexis Heredia Perez, Atsushi Shimizu, Hung-Ching Lin, Jan Witowski, Mamoru Mitsuishi
Summary: The value of kinematic data for skill assessment was investigated using a virtual reality simulator developed for liver surgery. The simulator differentiated between expert surgeons and novices, showing that simulation can be an effective way to obtain kinematic data.
JOURNAL OF CLINICAL MEDICINE
(2022)
Article
Computer Science, Software Engineering
Miki Matsumuro, Shohei Mori, Yuta Kataoka, Fumiaki Igarashi, Fumihisa Shibata, Asako Kimura
Summary: In a virtual reality environment, users' perceptions of the haptic features of their seats can be changed by shifting the position and angle of their viewpoints. This creates a feeling of pseudo-softness or flexibility, different from the actual rigidity and inflexibility, although it may cause strong discomfort.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2023)
Article
Computer Science, Software Engineering
Miki Matsumuro, Shohei Mori, Yuta Kataoka, Fumiaki Igarashi, Fumihisa Shibata, Asako Kimura
Summary: The study aimed to change the haptic perception of a chair in virtual reality by shifting the users' viewpoint. The results showed that by moving the viewpoint, users perceived the seat as softer and the backrest as more flexible, although this change also caused discomfort.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2023)
Article
Engineering, Biomedical
Ma Angeles Alamilla, Charles Barnouin, Richard Moreau, Florence Zara, Fabrice Jaillet, Herve Tanneguy Redarce, Fabienne Coury
Summary: The design and development of a simulator based on Haptics and Virtual Reality for training medical students in joint and soft tissue puncture skills is presented in this paper. The prototype combines mechanical models, haptic rendering, and ultrasound image rendering to provide a realistic experience for students in the learning process.
IEEE TRANSACTIONS ON MEDICAL ROBOTICS AND BIONICS
(2022)
Article
Materials Science, Multidisciplinary
A. Francisco G. Tenreiro, Antonio M. Lopes, Lucas F. M. da Silva, Joao D. P. Amorim
Summary: Adhesive joints are susceptible to damage and difficult to detect using Nondestructive Testing. Structural Health Monitoring techniques enable continuous monitoring and early detection of structural defects. Developing efficient damage detection algorithms requires simulations of adhesive structures with elastic and damping properties in the high frequency range. Tests were conducted on crash-resistant and silicone adhesives, with numerical simulations compared to experimental impedance measurements. Results diverged for Single Lap Joints (SLJ) with silicone adhesive.
MECHANICS OF ADVANCED MATERIALS AND STRUCTURES
(2023)
Article
Engineering, Multidisciplinary
Ahmed Z. Amin, Antonio M. Lopes, Ishak Hashim
Summary: A numerical approach based on the shifted Chebyshev-Gauss collocation method is proposed to solve the nonlinear variable-order fractional Bagley-Torvik differential equation (VO-FBTE). The solution of the VO-FBTE is approximated using a truncated series of shifted Chebyshev polynomials, with the interpolation nodes chosen as the shifted fractional Chebyshev-Gauss collocation points. The accuracy of the proposed method is confirmed through numerical examples and compared against other methods.
INTERNATIONAL JOURNAL OF NONLINEAR SCIENCES AND NUMERICAL SIMULATION
(2023)
Article
Materials Science, Characterization & Testing
Pedro R. Lopes, Luis Moreira, Ricardo Lopes, Antonio M. Lopes
Summary: This study proposes a solution for gravity offloading testing of space devices using industrial robots. By taking advantage of collaborative robots and custom auxiliary subsystems, successful gravity compensation was achieved.
JOURNAL OF TESTING AND EVALUATION
(2023)
Article
Computer Science, Artificial Intelligence
Liping Chen, Panpan Gu, Antonio M. Lopes, Yi Chai, Shuiqing Xu, Suoliang Ge
Summary: This study focuses on the stability of a class of incommensurate fractional-order neural networks (FONN). By comparing the stability of multi-order fractional-order nonlinear systems with incommensurate fractional-order linear systems, an asymptotic stability criterion for FONN is established. The proposed method is applicable for investigating the stability and synchronization of uncertain FONN and FOMNN with multi-order.
NEURAL PROCESSING LETTERS
(2023)
Article
Education, Scientific Disciplines
Antonio M. Lopes, Lucas F. M. da Silva
Summary: This paper analyzes the research and teaching performance of the teaching staff of the Integrated Master in Mechanical Engineering (MIEM) at the Faculty of Engineering of the University of Porto (FEUP). The research performance is measured by publications and their impact, while teaching performance is evaluated through student questionnaires. The results show that the teaching staff has good publication ratings and is highly appreciated by the students. However, there are variations in research indicators and not correlation between research and teaching data.
INTERNATIONAL JOURNAL OF MECHANICAL ENGINEERING EDUCATION
(2023)
Article
Mathematics, Applied
Mahboubeh Molavi-Arabshahi, Jafar Azizpour, Omid Nikan, Abdolmajid Naderi Beni, Antonio M. Lopes
Summary: Most time series from real-world processes are stained with noise, so it is important to focus on data noise removal techniques. In this study, the power of the wavelet method in removing noise from time series data is investigated using the family of biorthogonal wavelet, high-pass, and low-pass filters. The variability of precipitation and sea surface temperature in a southern region of the Caspian Sea is analyzed using wavelet discrete transformation. The previous wave is decomposed into two waves at each stage of decomposition, reducing the amount of data.
Article
Chemistry, Analytical
Xiaohua Zhang, Haolin Li, Wenfeng Zhang, Antonio M. Lopes, Xiaobo Wu, Liping Chen
Summary: To improve the model accuracy of lithium-ion batteries (LIBs), this paper introduces a complex-order beetle swarm optimization (CBSO) method, which combines complex-order (CO) operator concepts and mutation into the traditional beetle swarm optimization (BSO). The study establishes a fractional-order equivalent circuit model of LIBs based on electrochemical impedance spectroscopy (EIS), and uses CBSO for model parameters' identification and simulation experiments to verify the model accuracy. The optimization metrics of root-mean-square error (RMSE) and maximum absolute error (MAE) demonstrate the superiority of CBSO over fractional-order BSO in terms of model accuracy.
Article
Chemistry, Multidisciplinary
Gabriel M. F. Ramalho, Antonio M. Lopes, Ricardo J. C. Carbas, Lucas F. M. Da Silva
Summary: In this paper, nondestructive testing techniques based on Lamb wave data and artificial intelligence algorithms are proposed to detect weak adhesion in adhesive joints. Results show that feedforward neural networks and gated recurrent unit networks can effectively detect up to 20 different levels of weak adhesion. This approach provides a new framework for further research on nondestructive damage detection and localization in adhesive joints.
APPLIED SCIENCES-BASEL
(2023)
Article
Mathematics
Mohammed M. Al-Shomrani, Mohamed A. Abdelkawy, Antonio M. Lopes
Summary: This paper investigates a two-dimensional multi-term time fractional viscoelastic non-Newtonian fluid model using two autonomous consecutive spectral collocation strategies. A modified spectral approach is employed to obtain an approximate symmetric solution for the model, leading to an algebraic system of equations. Numerical examples demonstrate the effectiveness of the technique in terms of accuracy and convergence.
Article
Mathematics, Applied
Nahid Jafari, Antonio M. Lopes
Summary: A new fault detection and identification approach is proposed, which involves the application of KPCA for dimensionality reduction, statistical indices for fault occurrence determination, K-means clustering for data analysis and clustering, and LSTM neural network for fault type determination. The proposed technique is compared with PCA method and three other machine learning techniques, namely SVM, KNN, and decision trees. The results demonstrate the superior performance of the suggested methodology in both early fault detection and fault identification.
Article
Health Care Sciences & Services
Jose Carlos Rodrigues, Paulo Menezes, Maria Teresa Restivo
Summary: Human emotions are valuable in human-computer interaction, and the use of emotional triggers can influence user acceptance. This study proposes a collaborative robot and augmented reality system for rehabilitation, incorporating gamification to enhance the rehabilitation experience. User surveys and expert evaluations show positive usability and user experience, encouraging further development of the system.
FRONTIERS IN DIGITAL HEALTH
(2023)
Article
Mathematics, Interdisciplinary Applications
Yang Liu, Liping Chen, Xiaobo Wu, Antonio M. Lopes, Fengqi Cui, YangQuan Chen
Summary: Recent research has found that ideal capacitors and inductors do not exist in reality, and that the behavior of real devices can be accurately described using fractional-order mathematical models. This study focuses on a class of 2 x n order RC cobweb fractional-order circuit network with a central node. Using Kirchhoff's laws, impedance magnitude and phase between two points in the network are derived using difference equations and matrix transformations. Three impedance expressions are deduced and their accuracy is verified through numerical analysis and simulations. The study also investigates the impact of various parameters such as resistance, capacitance, number of circuit units, frequency, and fractional order on the impedance. Furthermore, physical experiments are conducted for the first time to compare the performance of fractional-order and integer-order circuit networks in describing the impedance of actual physical circuits. These experiments confirm that fractional-order circuit network models outperform integer-order models in representing the characteristics of impedance magnitude and phase.
CHAOS SOLITONS & FRACTALS
(2023)
Article
Mathematics, Applied
Liping Chen, Xiaobo Wu, Antonio M. Lopes, Xin Li, Penghua Li, Ranchao Wu
Summary: In this paper, a novel complex-order equivalent circuit model (Co-ECM) is proposed for lithium-ion battery state of charge (SOC) estimation. The Co-ECM considers the nonlinear characteristics and temporal behavior of the system by using complex derivatives. Experimental results demonstrate that the Co-ECM achieves high accuracy in SOC estimation across different temperatures, and exhibits strong robustness against noisy information.
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION
(2023)
Article
Mathematics, Applied
Reza Chaharpashlou, Ehsan Lotfali Ghasab, Antonio M. Lopes
Summary: This article introduces the concepts of extended Menger probabilistic b-metric space and extended rectangular Menger probabilistic b-metric space, and obtains new fixed-point results for single-valued and multi-valued mappings in both spaces. In addition, we present two applications involving integral and fractional differential equations, proving the existence of solutions.
COMPUTATIONAL & APPLIED MATHEMATICS
(2023)
Article
Multidisciplinary Sciences
Akeel A. AL-saedi, Omid Nikan, Zakieh Avazzadeh, Antonio M. Lopes
Summary: This paper proposes a numerical approach for computing the solitary wave solutions of the generalized Rosenau-Kawahara-RLW model. The approach transforms the PDE into a nonlinear ODEs system using radial kernels and discretizes the system using a high-order ODE solver. It reduces the computational burden and produces precise and efficient results.
