Article
Chemistry, Multidisciplinary
Ying Zhou, Zhongxing Li, Wenhao Yu, Yi Yu
Summary: This paper introduces a novel interconnected air suspension system and designs a cooperative control between interconnected mode activation and outsourced mode activation to improve ride comfort. The simulation and experimental results demonstrate that the proposed control strategy significantly enhances ride comfort under different conditions.
APPLIED SCIENCES-BASEL
(2022)
Article
Engineering, Mechanical
Vikas Tiwari, Satish C. Sharma, S. P. Harsha
Summary: This paper investigates the performance of suspension systems of high-speed passenger vehicles in a deflated state. A dynamic model with 13 degrees of freedom is developed and the influence of vibration on ride comfort and quality is assessed using Sperling's ride index method. The study focuses on the modelling of the air spring with a laminated rubber isolator. It is concluded that the vehicle should move at a slower speed when the air spring is deflated to maintain passenger comfort.
VEHICLE SYSTEM DYNAMICS
(2023)
Article
Engineering, Mechanical
Ruolan Hao, Hongbin Wang, Shuang Liu, Mengke Yang, Zhijian Tian
Summary: This paper proposes a new multi-objective command filtered adaptive control strategy for active suspension systems with nonlinear hydraulic actuators. The strategy effectively eliminates the impact of complexity explosion on hydraulic suspension systems and achieves good control results with small control forces by designing command filters and error compensation signals.
NONLINEAR DYNAMICS
(2021)
Article
Acoustics
Cengiz Ozbek, Recep Burkan, Nurkan Yagiz
Summary: Robust control law is proposed to improve ride comfort of a 7 degree-of-freedom full-car suspension system with parameterized and unparameterized uncertainties. Extensive numerical analysis and comparison with previous controllers and passive suspension system are conducted to evaluate the effectiveness of the proposed controller. The results show that the proposed method enhances ride comfort and road holding of a vehicle with reasonable power consumption values.
JOURNAL OF VIBRATION AND CONTROL
(2023)
Article
Automation & Control Systems
Chun-Yu Hsiao, Yu-Hsien Wang
Summary: This paper utilizes a self-tuning fuzzy sliding mode controller to design a damper for vibration isolation in a suspension system, with experimental results showing improvements in vehicle vibration suppression and ride quality. The comfort riding time and ride comfort level were evaluated based on ISO standards.
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS
(2022)
Article
Engineering, Mechanical
Liqin Sun, Li Su, Zhongxing Li, Xuefeng Jiao
Summary: This paper designs a quasi-zero stiffness suspension with an air spring and a magnetic spring in parallel to improve vehicle ride comfort. The study shows that the proposed suspension significantly reduces vehicle body acceleration and improves ride comfort.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING
(2022)
Review
Engineering, Mechanical
Bartlomiej Franczyk, Michal Maniowski, Janusz Goldasz
Summary: This study demonstrates the effectiveness of frequency-dependent technology in passenger vehicles and reviews various FD valve structures offered by automotive damper suppliers. Through subjective evaluation and simulation results, directions for further development are proposed.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING
(2023)
Article
Computer Science, Information Systems
Iljoong Youn, Ejaz Ahmad
Summary: This study aims to demonstrate how to compute the damping coefficient of a continuously variable damper for semi-active preview control suspensions while considering the sprung-mass jerk and the controller's performance advantage. The study found that despite reducing body acceleration, semi-active suspensions with preview control display an increase in body jerk. However, an optimal preview jerk controller can improve ride comfort without degrading road holding.
Article
Engineering, Mechanical
Liufeng Xu, Difu Pan, Kun Han
Summary: This paper proposes a novel method for modeling lateral stiffness of air springs and verifies its accuracy through experiments and sensitivity analysis, showing that it is more precise and reliable than the FEM model.
VEHICLE SYSTEM DYNAMICS
(2021)
Article
Engineering, Mechanical
Xing Xu, Xinwei Jiang, Lei Chen, Feng Wang, Vincent Akolbire Atindana
Summary: This paper proposes a new configuration of semi-active quasi-zero stiffness air suspension (QZSAS) with net-work communication architecture, and a matching dynamic output feedback control (DOFC) strategy considering event-triggered mechanism to improve the multi-objective vibration isolation performance of commercial vehicles and save network resource occupation. The semi-active QZSAS is mainly composed of a positive stiffness air spring, a pair of negative stiffness double-acting cylinders, and two continuous damping controlled (CDC) dampers. Results from co-simulation and hardware-in-the-loop (HiL) tests demonstrate that the presented new semi-active QZSAS structure and the DOFC method considering event-triggered mechanism can significantly improve the multi-objective performance of commercial vehicles under different driving conditions with significantly reducing the network communication burden.
NONLINEAR DYNAMICS
(2023)
Article
Automation & Control Systems
Jayu Kim, Taehoon Lee, Cheol-Joong Kim, Kyongsu Yi
Summary: This paper presents a data-based model predictive control method for a semi-active suspension system. The method utilizes a continuous damping controller and a stiffness controller to improve ride comfort and reduce vehicle pitch motion. Gaussian process regression is also used to compensate for model parameter uncertainties. The algorithm has been verified through computer simulations and vehicle tests, demonstrating its effectiveness and robustness.
CONTROL ENGINEERING PRACTICE
(2024)
Article
Multidisciplinary Sciences
Truong Manh Hung
Summary: This paper introduces the application of genetic algorithms method to optimize the parameters of the air spring element, and determines the bounds of seven optimized parameters through experiments. The results show that using the optimal parameters can improve both ride comfort and road safety.
Article
Computer Science, Information Systems
Mohamed Essam Shalabi, Ahmed M. R. Fath Elbab, Haitham El-Hussieny, A. A. Abouelsoud
Summary: This study investigates the performance of air suspension system, finding that increasing air volume can reduce sprung mass acceleration to improve ride comfort and handling. Implementing a Neuro-Fuzzy controller with Fuzzy logic control further reduces sprung mass acceleration, maintaining road holding.
Letter
Chemistry, Analytical
Rongchen Zhao, Wei Xie, Jin Zhao, Pak Kin Wong, Carlos Silvestre
Summary: This paper investigates the nonlinear height tracking control of an automobile active air suspension with output state constraints and time-varying disturbances. The proposed control strategy ensures that the ride height stays within a predefined range and compensates for time-varying disturbances, achieving robust performance. Simulation results demonstrate the efficiency of the proposed control methodology.
Article
Engineering, Mechanical
Pak Kin Wong, Hang Wang, Jing Zhao
Summary: In this paper, a robust control algorithm is proposed to achieve finite-time vehicle height and posture control in an electronically controlled air suspension (ECAS) system with actuator faults and uncertainties under non-stationary condition. Synchronization errors between corners are used to form a synchronization control strategy for simultaneous position control of the vehicle's four corners. Finite-time stability constraint and strategically designed H-infinity index are applied to improve system convergence speed and robustness. The proposed fault-tolerant control methodology considers actuator fault and uncertain parameters due to degradation of solenoid valves in the ECAS system. Road disturbance is applied to provide a non-stationary condition. Software-in-the-loop tests and hardware-in-the-loop tests are conducted to demonstrate the effectiveness of the proposed controller.
NONLINEAR DYNAMICS
(2023)
Article
Health Policy & Services
Alison R. McClean, Katherine W. Kooij, Jason Trigg, Monica Ye, Paul Sereda, Taylor McLinden, Nicanor Bacani, Niloufar Aran, Rejean Thomas, Alexander Wong, Marina B. Klein, Mark Hull, Curtis Cooper, Kate Salters, Robert S. Hogg
Summary: The study found an association between current smoking and unfavorable immunologic and virologic responses, which became non-significant after adjusting for a history of injection drug use.
AIDS CARE-PSYCHOLOGICAL AND SOCIO-MEDICAL ASPECTS OF AIDS/HIV
(2022)
Article
Chemistry, Analytical
Hamid Aghamohammadi, Seied Ali Hosseini, Sanjana Srikant, Alexander Wong, Mahla Poudineh
Summary: This paper introduces a computational model for the rational design and optimization of immunobead-based assays in microfluidic mixing channels. The model examines various factors affecting the efficiency of analyte capture on the surface of microbeads and is validated experimentally. It can be adapted to a wide range of target molecules and different device designs.
ANALYTICAL CHEMISTRY
(2022)
Article
Geochemistry & Geophysics
Yifan Wu, Linlin Xu, Yuhao Chen, Alexander Wong, David A. Clausi
Summary: This paper proposes a topography-aware multi-resolution fusion learning strategy for enhanced building footprint extraction. By introducing a topography-aware loss (TAL) and a multi-resolution fusion architecture, the high-resolution segmentation performance is improved, and a novel metric called average thresholded contour accuracy (tCA) is introduced to measure the accuracy of segmentation boundaries.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Article
Geochemistry & Geophysics
Yuan Fang, Yuxian Wang, Linlin Xu, Rongming Zhuo, Alexander Wong, David A. Clausi
Summary: This article presents a Bayesian fully convolutional hyperspectral unmixing network (BCUN) that addresses the challenges in spectral unmixing, such as accurate estimation of noise effect, endmembers, and spatial correlation effect. The proposed BCUN integrates a deep image prior, a Mahalanobis distance-based loss, and a spectral mixture model into a coherent Bayesian framework. Experimental results demonstrate its superior performance compared to other classical and state-of-the-art methods in both endmember estimation and abundance estimation.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Letter
Pediatrics
Ediane De Queiroz Andrade, Katie J. Bayfield, Anneliese Blaxland, Alexander Wong, Patricia De Gouveia Belinelo, Peter D. Sly, Adam Collison, Vanessa E. Murphy, Peter Gibson, Joerg Mattes, Paul D. Robinson
PEDIATRIC PULMONOLOGY
(2022)
Meeting Abstract
Clinical Neurology
Alexander Wong, Saif Baig, Chen Zejia, David Volders, Thien Huynh
Article
Hematology
Brendan Beaton, Sarah C. Sasson, Katherine Rankin, Juliette Raedemaeker, Alexander Wong, Priyanka Hastak, Chansavath Phetsouphanh, Andrew Warden, Vera Klemm, C. Mee Ling Munier, Alexandra Carey Hoppe, Fiona Tea, Aleha Pillay, Alberto Ospina Stella, Anupriya Aggarwal, Orly Lavee, Ian D. Caterson, Stuart Turville, Anthony D. Kelleher, Fabienne Brilot, Judith Trotman
Summary: Patients with indolent lymphoma undergoing B cell suppression treatment are at risk of severe COVID-19. A study found that after receiving two doses of BNT162b2 vaccine, patients had lower levels of anti-spike IgG, which correlated with lymphocyte count and treatment time. However, all cohorts showed functional T cell responses.
AMERICAN JOURNAL OF HEMATOLOGY
(2023)
Article
Substance Abuse
Charlotte Laniece Delaunay, Mathieu Maheu-Giroux, Gayatri Marathe, Sahar Saeed, Valerie Martel-Laferriere, Curtis L. Cooper, Sharon Walmsley, Joseph Cox, Alexander Wong, Marina B. Klein
Summary: The study found that HCV treatment uptake and outcomes have improved among HIV-HCV coinfected PWID in Canada, but they still face drug-related harms. Gaps exist in engagement in harm reduction programs and efforts are needed to enhance these measures to improve overall health outcomes for this population.
INTERNATIONAL JOURNAL OF DRUG POLICY
(2022)
Article
Transplantation
Justin P. Rosenheck, David J. Ross, Mena Botros, Alexander Wong, Jonathan Sternberg, Yen-An Chen, Nathan Liang, Amy Baer, Ebad Ahmed, Ryan Swenerton, Bernhard G. Zimmermann, Gordon Fehringer, Zachary P. Demko, Michael Olymbios, Paul R. Billings, Brian C. Keller
Summary: This study validates a clinical plasma dd-cfDNA assay for the detection of acute rejection and other forms of allograft injury in lung transplant patients. The results demonstrate that this assay has a high sensitivity and specificity for detecting acute rejection and allograft injury.
TRANSPLANTATION DIRECT
(2022)
Article
Health Care Sciences & Services
Gayatri Marathe, Erica E. M. Moodie, Marie-Josee Brouillette, Joseph Cox, Curtis Cooper, Charlotte Laniece Delaunay, Brian Conway, Mark Hull, Valerie Martel-Laferriere, Marie-Louise Vachon, Sharon Walmsley, Alexander Wong, Marina B. Klein
Summary: Depression is common in HIV-HCV co-infected individuals. Predicting depressive symptoms and identifying important predictors using machine learning can be useful in research settings to identify those at risk for clinical depression.
BMC MEDICAL RESEARCH METHODOLOGY
(2022)
Article
Engineering, Electrical & Electronic
Hajar Abedi, Jennifer Boger, Plinio P. Morita, Alexander Wong, George Shaker
Summary: This paper presents a corridor or hallway gait monitoring system based on radar signal processing, unsupervised learning, and subject detection, association, and tracking method. The algorithm is capable of capturing human gait in a cluttered environment without the need for radar antenna alteration. The results show that the proposed algorithm can accurately monitor gait in hallways.
IEEE SENSORS JOURNAL
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
James Ren Hou Lee, Maya Pavlova, Mahmoud Famouri, Alexander Wong
Summary: This study introduces Cancer-Net SCa, a suite of deep neural network designs tailored for the detection of skin cancer, which achieves high accuracy and low complexity. The proposed designs perform well on the International Skin Imaging Collaboration dataset, striking a balance between computation and architectural efficiency. The open source release of Cancer-Net SCa aims to encourage further research and application by researchers and clinicians.
BMC MEDICAL IMAGING
(2022)
Article
Computer Science, Interdisciplinary Applications
Mohammadamin Soltani-Sarvestani, Zohreh Azimifar, Alexander Wong
Summary: In this paper, a new centrality calculation method called Variable Centrality (VC) is proposed to optimize decision making in network-based problems. By manipulating controller parameters, the VC method can generate a wide variation of centrality measures based on predefined requirements and scenarios. The method is justified using numerical experiments and compared with state-of-the-art centrality methods using different metrics such as correlation coefficients and SIR.
JOURNAL OF COMPUTATIONAL SCIENCE
(2022)
Article
Medicine, General & Internal
Maya Pavlova, Naomi Terhljan, Audrey G. Chung, Andy Zhao, Siddharth Surana, Hossein Aboutalebi, Hayden Gunraj, Ali Sabri, Amer Alaref, Alexander Wong
Summary: This study introduces COVID-Net CXR-2, an enhanced deep convolutional neural network designed for COVID-19 detection from CXR images. It uses a larger and more diverse set of patients than the original COVID-Net. The study also creates a new benchmark dataset of 19,203 CXR images from 16,656 patients in at least 51 countries, making it the largest and most diverse open access COVID-19 CXR dataset. The COVID-Net CXR-2 network achieves high sensitivity and positive predictive value, and the critical factors it uses align with radiologist interpretations.
FRONTIERS IN MEDICINE
(2022)
Article
Engineering, Electrical & Electronic
Yuan Fang, Linlin Xu, Yuhao Chen, Wei Zhou, Alexander Wong, David A. Clausi
Summary: In this article, a Bayesian deep image prior (BDIP) approach is proposed to estimate high-resolution soil moisture (SM) from satellite products. The approach formulates the high-resolution SM estimation as a maximum a posteriori problem and solves it using a neural network consisting of a deep fully convolutional neural network (FCNN) and a forward model. Experimental results show that the proposed method provides more detailed spatial information and closely matches in situ measurements.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2022)
