A5069916821- Fuzzy Logic and Control Systems
- Advanced Control Systems Optimization
- Fault Detection and Control Systems
- Metallurgy and Material Forming
- Neural Networks and Applications
- Anesthesia and Sedative Agents
- Advanced machining processes and optimization
- Hemodynamic Monitoring and Therapy
- Heart Rate Variability and Autonomic Control
- Non-Invasive Vital Sign Monitoring
- Mineral Processing and Grinding
- Advanced Multi-Objective Optimization Algorithms
- Manufacturing Process and Optimization
- Rough Sets and Fuzzy Logic
- Healthcare Technology and Patient Monitoring
- Respiratory Support and Mechanisms
- Metaheuristic Optimization Algorithms Research
- Metal Forming Simulation Techniques
- EEG and Brain-Computer Interfaces
- Aluminum Alloy Microstructure Properties
- Electrical and Bioimpedance Tomography
- Metallurgical Processes and Thermodynamics
- Advanced Machining and Optimization Techniques
- Evolutionary Algorithms and Applications
- Air Traffic Management and Optimization
University of Sheffield
2015-2024
Insigneo
2015
Brunel University of London
2007
Centre de Recherche en Automatique de Nancy
2006
Centre National de la Recherche Scientifique
2006
Institute for Physics of Microstructures
2004
Universidade do Porto
2003
University of Manchester
1997
This paper proposes a new framework for the online monitoring and adaptive control of automation in complex safety-critical human-machine systems using psychophysiological markers relating to humans under mental stress. The starting point this relates assessment so-called operator functional state measures. An fuzzy model linking heart-rate variability task load index with subjects' optimal performance has been elicited validated offline via series experiments involving process tasks...
ABSTRACT Determining the optimal heat treatment regimen and required weight percentages for chemical composites to obtain desired mechanical properties of steel is a challenging problem industry. To tackle what in essence an optimization problem, several neural network-based models, which were developed early stage this research work, are used predict such as tensile strength (TS), reduction area (ROA), elongation. Because these predictive models generally data driven, predictions should be...
The residual stresses induced during shaping and machining play an important role in determining the integrity durability of metal components. An issue producing safety critical components is to find parameters that create compressive surface or minimize tensile stresses. In this article, a systematic data-driven fuzzy modeling methodology proposed, which allows constructing transparent models considering both accuracy interpretability attributes systems. new method employs hierarchical...
Manufacturing is usually performed as a sequence of operations such forming, machining, inspection, and assembly. A new challenge in manufacturing to move towards Industry 4.0 (the fourth Industrial revolution) concerning the full integration machines production systems with machine learning methods enable for intelligent multistage manufacturing. This paper discusses Multistage Processes (MMPs) develops probabilistic model based on Bayesian linear regression estimate results final...
This paper evaluates the use of fuzzy k-means clustering method for files 2D chemical structures. Simulated property prediction experiments with Starlist file logP values demonstrate that can, in some cases, yield results are superior to those obtained conventional and Ward's method. Clustering several small sets agrochemical compounds ability highlight multicluster membership identify outlier compounds, although former can be difficult interpret cases.
Thoracic electrical impedance tomography (EIT) is a noninvasive, radiation-free monitoring technique whose aim to reconstruct cross-sectional image of the internal spatial distribution conductivity from measurements made by injecting small alternating currents via an electrode array placed on surface thorax. The purpose this paper discuss fundamentals EIT and demonstrate principles mechanical ventilation, lung recruitment, imaging comprehensive physiological model, which combines model...
Manufacturing processes usually consist of multiple different stages, each which is influenced by a multitude factors. Therefore, variations in product quality at certain stage are contributed to the errors generated current, as well preceding, stages. The high cost production manufacture high-quality products has stimulated drive towards decreasing volume non-added value such inspection. This paper presents new method for what authors have referred 'inspection exception' – principle...
The well-known generalized predictive control (GPC) algorithm is used to derive a discrete-time non-linear controller for muscle relaxant anaesthesia, which has Wiener structure representation, and normally exhibits strong non-linearities as well varying dead-time lag dynamics owing patient-topatient variability. proposed minimizes the GPC quadratic performance index, taking into account output predictions obtained using of linear part inferred inverse function. minimization problem solved...
The Sheffield Intelligent Ventilator Advisor is a hybrid knowledge-and-model-based advisory system designed for intensive care ventilator management. It consists of top-level fuzzy rule-based module to give the qualitative component advice, and lower-level model-based quantitative advice. structured offer adaptive patient-specific decision support. can be operated in either invasive or noninvasive modes depending on availability data from clinical measurements. user choose between...
Multiobjective optimization using a Reduced Space Searching Algorithm (RSSA) is employed to optimally design titanium alloys suitable for prosthetic applications, i.e., with high strength, low elastic modulus, adequate biocompatibility, and costs. The objectives in question are conflicting nature, thus multiobjective the ideal candidate approaching this problem. latter was formulated such way that it necessary develop three separate objective functions economic biocompatibility issue...