A5042094604- Fault Detection and Control Systems
- Adaptive Control of Nonlinear Systems
- EEG and Brain-Computer Interfaces
- Machine Fault Diagnosis Techniques
- COVID-19 epidemiological studies
- Control Systems and Identification
- Healthcare Systems and Public Health
- Economic, Social, and Public Health Issues in Russia and Globally
- COVID-19 Pandemic Impacts
- Advanced Control Systems Optimization
- Blind Source Separation Techniques
- IoT-based Smart Home Systems
- Neural Networks and Applications
- Robot Manipulation and Learning
- Fractal and DNA sequence analysis
- ECG Monitoring and Analysis
- Stability and Control of Uncertain Systems
- SARS-CoV-2 and COVID-19 Research
- Biosensors and Analytical Detection
- Forecasting Techniques and Applications
- Image Enhancement Techniques
- Machine Learning in Bioinformatics
- Viral Infections and Outbreaks Research
- Non-Invasive Vital Sign Monitoring
- Hydraulic and Pneumatic Systems
Monash University Malaysia
2013-2025
University of Ulster
2017-2024
National Yang Ming Chiao Tung University
2024
CeNTI (Portugal)
2021
Linköping University
2015-2020
Monash University
2006-2012
Indiana Department of Transportation
2011
Purdue University West Lafayette
2011
ABSTRACT Currently, industrial sludge is generated in large amounts. Industrial a solid or semi‐solid material consisting of all compounds removed from wastewater, as well any substances added to the biological and chemical operation units during treatment process. The composition may vary considerably. Furthermore, distinctive disposal methods are necessary produced different industries has characteristics. Therefore, processing disposing challenging complex environmental problem....
In existing work of sliding mode observers (SMOs) for descriptor systems, a necessary condition is that the system must be infinitely observable. This paper presents scheme circumvents condition, by reformulating as reduced-order where certain structures in matrix are manipulated and states treated unknown inputs. Following that, an SMO implemented on state fault estimation can achieved. Necessary sufficient conditions this also presented. Finally, simulation example shows effectiveness...
Abstract This paper presents a robust actuator fault reconstruction scheme for linear uncertain systems using sliding mode observers. In existing work, via observers is limited to either certain subject unknown inputs, relative degree one or specific class of two systems. new method that applicable wider with higher than one, and can also be used more inputs outputs. The uses in cascade. Signals from the first observer are processed drive second observer. Overall, this results being feasible...
To evaluate the dynamics and longevity of humoral immune response to SARS-CoV-2 infection assess performance professional use UK-RTC AbC-19 Rapid Test lateral flow immunoassay (LFIA) for target condition spike protein IgG antibodies.Nationwide serological study.Northern Ireland, UK, May 2020-February 2021.Plasma samples were collected from a diverse cohort individuals general public (n=279), Northern Ireland healthcare workers (n=195), pre-pandemic blood donations research studies (n=223)...
Compartment-based infectious disease models that consider the transmission rate (or contact rate) as a constant during course of an epidemic can be limiting regarding effective capture dynamics disease. This study proposed novel approach based on dynamic time-varying with control governing speed spread, which may associated information related to intervention. Integration multiple sources data modelling has potential improve performance. Taking global mobility trend vehicle driving available...
Abstract This paper presents a novel scheme for estimating states and faults class of infinitely unobservable descriptor systems using sliding mode observers (SMOs). Treating certain the original system as unknown inputs results in reduced‐order that is observable. Then by designing SMO based on system, state estimation fault reconstruction achieved, thus relaxing infinite observability requirement system. The necessary sufficient conditions terms matrices are also investigated. A simulation...
Cardiovascular Disease (CVD) is amongst the leading cause of death globally, which calls for rapid detection and treatment. Biosensing devices are used diagnosis cardiovascular disease at point-of-care (POC), with lateral flow assays (LFAs) being particularly useful. However, due to their low sensitivity, most LFAs have been shown difficulties detecting analytic concentrations. Breakthroughs in artificial intelligence (AI) image processing reduced this constraint improved diagnosis. This...
Accident prevention systems have recently been a part of many modern cars to reduce injuries and casualties on the road. However, high cost components equipment limited such safety higher-end luxury vehicles. This paper proposes an economical method using smartphone application for real-time lane detection rearend collision warning system drivers The Android-based uses image-processing algorithms coupled with monoscopic camera as main sensor perform vehicle detections. novelty this work lies...
A hybrid diagnosis system design is proposed that combines model-based and data-driven methods for fault isolation. set of residuals are used to detect if there a in the consistency-based isolation algorithm compute all candidates can explain triggered residuals. To improve isolation, ranked by evaluating using one-class support vector machines trained data from different faults. The evaluated simulations model describing air-flow an internal combustion engine.
SUMMARY This paper presents a functional observer scheme using two sliding mode observers in cascade. A coordinate transformation is performed on the system such that existing theory can be directly applied to achieve state estimation. The necessary and sufficient existence conditions for (in terms of original matrices) are also investigated, they found less stringent than earlier work estimation one observer; this could have benefits cost simplicity. numerical example verifies effectiveness...
This article presents the assessment of time-dependent national-level restrictions and control actions their effects in fighting COVID-19 pandemic. By analysing transmission dynamics during first wave country, effectiveness various levels taken to flatten curve can be better quantified understood. turn help relevant authorities plan for subsequent waves To achieve this, a deterministic population model pandemic is firstly developed take into consideration characteristics parameters,...
Impedance cardiography (ICG) is a low-cost, non-invasive technique that enables the clinical assessment of haemodynamic parameters, such as cardiac output and stroke volume (SV). Conventional ICG recordings are taken from patient's thorax. However, access to vital signs upper-arm brachial artery (as an associated surrogate) can enable user-convenient wearable armband sensor devices provide attractive option for gathering trend-based indicators general health, which offers particular...
Smart homes and Internet of Things are emerging concepts in modern society, with intelligent lighting being an important part it. Besides providing visual satisfaction through its color-rendering properties, also has other effects on human well-being. In order to exploit the full potential a smartly lit home, systems need be equipped accurate controllers that can control spectrum color characteristics light addition conventional ON-OFF dimming control. However, current commercial smart...
Remote control of autonomous robots/vehicles has been an interesting research area with many ongoing developments being done. However, most implementation methods either require additional hardware or involve certain trained individuals to operate the system. This paper aims present a convenient method wirelessly remote car mounted BlackWidow 1.0 microcontroller using iPhone, software written on iOS SDK platform. A Wi-Fi standard 802.11b broadcast from was used for experimentation.
Abstract This paper investigates and presents conditions that guarantee disturbance decoupled fault reconstruction using sliding mode observers, which are less stringent than those of previous work, show is not necessary. An aircraft model validates the ideas proposed in this paper. Copyright © 2010 John Wiley Sons Asia Pte Ltd Chinese Automatic Control Society
Epilepsy, a nervous system disorder, is charac-terised by unprovoked, unpredictable, and recurrent seizures. To diagnose epileptic seizures, electroencephalography (EEG) frequently used in medical settings. Effective automated detection classification strategies are needed because visual analysis interpretation of EEG signals consume time call for specialised expertise. The main objective this paper to examine the effectiveness multiple rebalancing techniques address problem asynchronously...