Performance of electronic sensors used for physical measurements is highly depends upon the operating conditions. Environmental changes e.g., temperature variations do affect the sensor outputs especially for those wh...
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ISBN:
(纸本)9781479956869
Performance of electronic sensors used for physical measurements is highly depends upon the operating conditions. Environmental changes e.g., temperature variations do affect the sensor outputs especially for those which are used for very precise measurement. The effect of temperature variation from ambient to the harsh drastically degrades the electronic sensor output performance e.g., piezoelectric sensor in our case. It is very hard to model the output variation of piezoelectric sensor whose output is non-deterministic or random in nature and it also change with temperature. Normal mathematicalmodelling techniques to correct error are very difficult to implement due to complexity and nonlinearity. Data has been acquired from piezoelectric sensor used for pressure measurement whose output variation is random in nature with respect to the temperature variations. The scope of this paper is to study the behaviour of piezoelectric sensor output signal taking into consideration the different varying temperature profiles. Artificial intelligence technique like Fuzzy is used to minimize the error up to desirable amount. The novelty in our work is that Fuzzy approach has been implemented on this kind of engineering problem. Results have been compared with mathematical technique i.e., curve fitting based upon the error correction criterion. Fuzzy approach has shown significant improvement in error minimization of piezoelectric sensor as compared to the mathematical techniques.
Measurements of blood rheology indicate that human blood has a yield shear stress. Transport of oxygen in the aorta or a vein depends on blood flow rate. Therefore, it is interesting to find out how blood yield shear ...
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Urban planning practice and architectural design increasingly adopt agent-based models and simulations to support decision-making for spatial design. Nonetheless, although essential, a reliable representation of human...
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ISBN:
(纸本)9783030608156;9783030608163
Urban planning practice and architectural design increasingly adopt agent-based models and simulations to support decision-making for spatial design. Nonetheless, although essential, a reliable representation of human spatial behaviour in a socially rich context is still challenging. The study presents a framework built on a Dynamic Network Visualization of space use patterns based on a Post Occupancy Evaluation in the case study of a hospital ward, which is intended to develop an agent-based spatial analysis. A functional and organizational redesign of the ward plan is proposed following the analysis of social and spatial behaviour of agents. The outlined methodology aims to prepare the development of a multi-agent software simulation to validate the proposed redesign from a human-centred perspective. Findings indicate the relevance of the proposed approach starting from organizational contexts with complex workflows where cooperation between agents is widely exist, such as in healthcare environments. The framework is structured as a methodology to support the practice of architectural design and urban planning for the realization of more efficient and sustainable cities.
As the society is already permeated by data, a data-driven approach to inform design for sustainable behaviour can help to identify misbehaviours and target sustainable behaviours to achieve, as well as to select and ...
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High-fat effluents of edible oil industries have been treated successfully in the biofilm reactor leading to generation of biogas as a potential source of energy with simultaneous removal of COD from waste stream. Und...
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High-fat effluents of edible oil industries have been treated successfully in the biofilm reactor leading to generation of biogas as a potential source of energy with simultaneous removal of COD from waste stream. Under present investigation bioremediation of lipid rich wastewater has been carried out in a laboratory scale packed bed bioreactor. Energy efficiency of the bioconversion process has also been calculated on the basis of mustard oil in the feed stream as the main energy source. We developed a mathematical model based on Monod kinetics to predict the system behaviour satisfactorily.] (C) 2015 Elsevier Ltd. All rights reserved.
This document aims to present a method of maintenance modelling in the case of in-development complex systems. This one leads to compute maintenance indicators, such as maintenance costs and operations frequencies. It...
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ISBN:
(纸本)9780415447867
This document aims to present a method of maintenance modelling in the case of in-development complex systems. This one leads to compute maintenance indicators, such as maintenance costs and operations frequencies. It provides criteria during technological decision-making process, under constraints of limiting uncertainties. Based on the application of Bayesian Networks, this method can be divided into three different tasks. Firstly, a standard degradation model, based on comparable systems behaviours, is built up by using the Object Oriented Dynamical Bayesian Networks theory. Then, this network is fitted to the behaviour of a specific system. Lastly, this mathematical tool is updated by adding new variables in order to compute maintenance modelling.
The present paper aims at studying the flow behaviour of magnesium alloys under different conditions in terms of temperature, deformation velocities and deformation. The modelling approach was based on a proposed equa...
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We argue that traditional systems engineering (TSE) is inadequate for engineering complex systems. This inadequacy becomes particularly problematic when the system in question is a System of Systems (SoS) whose behavi...
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ISBN:
(纸本)9789806560598
We argue that traditional systems engineering (TSE) is inadequate for engineering complex systems. This inadequacy becomes particularly problematic when the system in question is a System of Systems (SoS) whose behaviour depends on how human users of the component systems, anticipating the consequences of their own behaviour, interact with those systems and with each other. Considering its users to be part of the SoS renders such a system anticipative, and therefore necessarily complex. To be effective, the designer of an SoS must incorporate an understanding of its users' models of their contexts of use. However, the process of design then becomes reflexive, since it must include within itself models of its users' anticipations of its relation to the SoS's environment, including those of its designers. As a result, complex systems engineering (CSE) has to become a distinct discipline, involving explicit processes that occur at the time of use of an SoS, not only for negotiating shared meaning between component systems within peer-to-peer relationships, but also for considering the dynamic effects of differing uses of component systems on the behaviour of the SoS as a whole. By modeling users' relations to demand as well as to the behaviour and organisation of component systems, triply articulated modeling supports the negotiation of shared meaning and accommodates the reflexivity required of a CSE regimen.
Modified Quadruple conical tank system is benchmark a laboratory setup for testing of various linear and nonlinear control algorithms for the multivariable control system. This novel arrangement of quadruple conical t...
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Several types of tube-like fibre-reinforced tissue, including arteries and veins, different kinds of muscles, biological tubes as well as plants and trees, grow in an axially symmetric manner that preserves their own ...
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Several types of tube-like fibre-reinforced tissue, including arteries and veins, different kinds of muscles, biological tubes as well as plants and trees, grow in an axially symmetric manner that preserves their own shape as well as the direction and, hence, the shape of their embedded fibres. This study considers the general, three-dimensional, axisymmetric mass-growth pattern of a finite tube reinforced by a single family of fibres growing with and within the tube, and investigates the influence that the preservation of fibre direction exerts on relevant mathematicalmodelling, as well on the physical behaviour of the tube. Accordingly, complete sets of necessary conditions that enable such axisymmetric tube patterns to take place are initially developed, not only for fibres preserving a general direction, but also for all six particular cases in which fibres grow normal to either one or two of the cylindrical polar coordinate directions. The implied conditions are of kinematic character but independent of the constitutive behaviour of the growing tube material. Because they hold in addition to and simultaneously with standard kinematic relations and equilibrium equations, they describe growth by an overdetermined system of equations. In cases of hyperelastic mass-growth, the additional information they thus provide enables identification of specific classes of strain energy densities for growth that are admissible and, therefore, suitable for the implied type of axisymmetric tube mass-growth to take place. The presented analysis is applicable to many different particular cases of axisymmetric mass-growth of tube-like tissue, though admissible classes of relevant strain energy densities for growth are identified only for a few example applications. These consider and discuss cases of relevant hyperelastic mass-growth which (i) is of purely dilatational nature, (ii) combines dilatational and torsional deformation, (iii) enables preservation of shape and direction
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