The world's population is ageing, increasing the awareness of neurological and behavioural impairments that may arise from the human ageing. These impairments can be manifested by cognitive conditions or mobility ...
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ISBN:
(纸本)9789897583988
The world's population is ageing, increasing the awareness of neurological and behavioural impairments that may arise from the human ageing. These impairments can be manifested by cognitive conditions or mobility reduction. These conditions are difficult to be detected on time, there is a lack of routine screening which demands the development of solutions to better assist and monitor humanbehaviour. This study investigates the question of what we can learn about humanbehaviour patterns from the rich and pervasive mobile sensing data. Data was collected over 6 months, measuring two different human routines through human trajectory analysis and activity recognition comprising indoor and outdoor environment. A framework for modellinghumanbehaviour was developed using human motion features, extracted with and without previous knowledge of the user's behaviour. The human patterns were modelled through probability density functions and clustering approaches. Using the learned patterns, inferences about the current humanbehaviour were continuously quantified by an anomaly detection algorithm where distance measurements were used to detect significant changes in behaviour. Experimental results demonstrate the effectiveness of the proposed framework that revealed an increased potential to learn behavioural patterns and detect anomalies.
Load modelling has always been a key missing part in power system analysis especially in transient stability studies. In the Tasmanian power system, about half the load demand comes from industrial loads and some comp...
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ISBN:
(纸本)9789791884723
Load modelling has always been a key missing part in power system analysis especially in transient stability studies. In the Tasmanian power system, about half the load demand comes from industrial loads and some comprise large rotating machines. Therefore, modelling of these loads has to consider their behaviour during disturbances. This paper looks to develop a mathematical load response model for a paper mill connected to the power system. The developed model is based on component-based load modelling approach. A PSCAD model of the paper mill is constructed from available information on the types of loads within the mill. Simulations are then run to study its responses to disturbances. The load model is developed for both voltage and frequency changes but each of them is considered separately. Both voltage and frequency disturbances are then applied during simulations of the paper mill to investigate the combined effect of voltage and frequency disturbances. With this model, the source of each transient response can be easily identified, which can be useful for future mitigation work to avoid system instability issues.
Glass reinforced plastic (GRP) pipes are increasingly being used in the offshore industry and their behaviour in fire is studied using mathematical and numerical modelling. The thermochemical response of a single-skin...
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ISBN:
(纸本)1880653508
Glass reinforced plastic (GRP) pipes are increasingly being used in the offshore industry and their behaviour in fire is studied using mathematical and numerical modelling. The thermochemical response of a single-skinned GRP pipe exposed to hydrocarbon fires is modelled using the finite element technique. Axi-symmetric mathematical and numerical models are developed to quantify the fire performance of thin-walled and large diameter GRP pipes for seawater transport. The mathematical model is based on one-dimensional models developed for single-skinned GRP pipes and panels and include: (i) transient heat conduction;(ii) radial gas mass movement;(iii) mass loss and Arrhenius rate decomposition of resin material and (iv) endothermicity of the decomposition process. The numerical results are presented for a polyester-based GRP pipe with flowing seawater and thickness 1.09cm and compared with those for GRP panels and pipes with the same thicknesses but different boundary conditions. It is shown that for a given set of dimensions and boundary conditions, GRP pipes reach insulation failure (time to 160 degrees C) earlier than GRP panels. The results can be used, in conjunction with the author's previous work (Looyeh & Bettess, 1996), to assess the feasibility of using GRP for offshore pipes and pipelines where severe fire conditions may occur.
The studies of practical magnetic systems with hysteresis phenomenon are of great importance in electrical engineering. As an alternative to physical and empirical model, a qualitative model was constructed using adap...
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ISBN:
(纸本)9781424408900
The studies of practical magnetic systems with hysteresis phenomenon are of great importance in electrical engineering. As an alternative to physical and empirical model, a qualitative model was constructed using adaptive fuzzy logic called adaptive network fuzzy inference system (ANFIS). The proposed model demonstrates the modelling and accurate capability of a hybrid system to a nonlinear dynamic hysteresis. It has been used to model the hysteresis curve versus frequency. Firstly, mathematical modeling of the dynamic hysteresis is established and then, data gathered from this model is employed to create an ANFIS model of the system. Both mathematical and ANFIS model is compared, it is shown that the proposed model can restore hysteresis cycles with a little RMS error.
In the current scientific literature, particular attention is dedicated to the study of the mitral valve and to comprehension of the mechanisms that lead to its normal function, as well as those that trigger possible ...
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In the current scientific literature, particular attention is dedicated to the study of the mitral valve and to comprehension of the mechanisms that lead to its normal function, as well as those that trigger possible pathological conditions. One of the adopted approaches consists of computational modelling, which allows quantitative analysis of the mechanical behaviour of the valve by means of continuum mechanics theory and numerical techniques. However, none of the currently available models realistically accounts for all of the aspects that characterize the function of the mitral valve. Here, a new computational model of the mitral valve has been developed from in vivo data, as a first step towards the development of patient-specific models for the evaluation of annuloplasty procedures. A structural finite-element model of the mitral valve has been developed to account for all of the main valvular substructures. In particular, it includes the real geometry and the movement of the annulus and papillary muscles, reconstructed from four-dimensional ultrasound data from a healthy human subject, and a realistic description of the complex mechanical properties of mitral tissues. Preliminary simulations allowed mitral valve closure to be realistically mimicked and the role of annulus and papillary muscle dynamics to be quantified.
Since the end of the seventies, the utilisation of multi-agents simulations has spread out. A typical use of these simulations concerns the modelling of humanbehaviour. In this application case, a key point to ensure...
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The article represents the results of mathematicalmodelling of behaviour of the granular medium on an oscillating rough surface. Granular medium under the action of vibration is considered as a non-Newtonian (dilatan...
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The article represents the results of mathematicalmodelling of behaviour of the granular medium on an oscillating rough surface. Granular medium under the action of vibration is considered as a non-Newtonian (dilatant) fluid. The system of differential equations of continuum mechanics is solved using the modified large particles method. An algorithm for solving the problem for granular media with different properties under external influences is proposed.
Fracture healing is a complex biological process involving many cellular and molecular events. During fracture healing, biochemical signals play a regulatory role in promoting the healing process. Although many experi...
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Fracture healing is a complex biological process involving many cellular and molecular events. During fracture healing, biochemical signals play a regulatory role in promoting the healing process. Although many experiments have been conducted to study fracture healing, not all of the mechanisms are clearly understood. Over the past years, a lot of mathematical models and computational simulations have been established to investigate the fracture healing process. These models offer a powerful tool to study the interplay between cell behaviour, mechanical stimuli and biochemical signals and help design new treatment strategies. However, most of the mathematical models focus on the effect of mechanical stimuli and few models consider the important role of biochemical signals during fracture healing. In this review, we first emphasize the importance of biochemical signals during fracture healing. Then, existing bioregulatory and coupled mechanobioregulatory models are presented. Finally, some limitations and possible solutions are discussed. (C) 2017 IPEM. Published by Elsevier Ltd. All rights reserved.
A numerical model for simulating the transient behaviour of multi-fluid problems defined in 2D rectangular and cylindrical geometries is presented. The model uses a piecewise linear volume tracking scheme, and maintai...
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A numerical model for simulating the transient behaviour of multi-fluid problems defined in 2D rectangular and cylindrical geometries is presented. The model uses a piecewise linear volume tracking scheme, and maintains sharp interfaces and captures fine-scale flow phenomena such as fragmentation and coalescence. The numerical model was applied to four problems of pyrometallurgical relevance - entrainment of matte in the flow of slag during skimming operations, splash resulting from a drop impinging on a bath, bubble rise in a liquid bath, and top-submerged gas injection. The numerical predictions are in good agreement with the published experimental results. The simulation of top-submerged gas injection showed, in detail, the phenomena of bubble formation, bubble rise, and splash drop formation and recoalescence with the bath. Data useful for engineering purposes such as pressure traces and time-averaged flow fields were obtained, allowing assessment of splash behaviour for given gas injection conditions. The numerical model has been shown to be versatile in being able to adapt to a wide range of multi-phase flow problems. (C) 2002 Elsevier Science Inc. All rights reserved.
Robot simulators are useful tools for developing robot behaviour. They provide a fast and efficient means for testing robot control code at the convenience of the office desk. In all but the simplest cases though, due...
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Robot simulators are useful tools for developing robot behaviour. They provide a fast and efficient means for testing robot control code at the convenience of the office desk. In all but the simplest cases though, due to complexities of physical systems modelled in the simulator, there are considerable differences between the behaviour of the robot in the simulator and that in the real world environment. In this paper we present a novel method to create a robot Simulator using real sensor data. Logged sensor data are used to construct a mathematically explicit model (in the form of a NARMAX polynomial) of the robot's environment. The advantage Of Such a transparent model in contrast to opaque modelling methods such as artificial neural networks-is that it can be analysed to characterise the modelled system, using established mathematical methods. In this paper we compare the behaviour of the robot running a particular task in both the simulator and the real-world using qualitative and quantitative measures including statistical methods to investigate the faithfulness of the simulator. (C) 2008 Elsevier B.V. All rights reserved.
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