Business process models have become an effective way of examining business practices to identify areas for improvement. While common information gathering approaches are generally efficacious, they can be quite time c...
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Business process models have become an effective way of examining business practices to identify areas for improvement. While common information gathering approaches are generally efficacious, they can be quite time consuming and have the risk of developing inaccuracies when information is forgotten or incorrectly interpreted by analysts. In this study, the potential of a role-playing approach to process elicitation and specification has been examined. This method allows stakeholders to enter a virtual world and role-play actions similarly to how they would in reality. As actions are completed, a model is automatically developed, removing the need for stakeholders to learn and understand a modelling grammar. An empirical investigation comparing both the modelling outputs and participant behaviour of this virtual world role-play elicitor with an S-BPM process modelling tool found that while the modelling approaches of the two groups varied greatly, the virtual world elicitor may not only improve both the number of individual process task steps remembered and the correctness of task ordering, but also provide a reduction in the time required for stakeholders to model a process view. (C) 2016 Elsevier Ltd. All rights reserved.
In this paper a suggested control system for a solenoid coil is proposed. This control model is based on the employment of the electrical part of the solenoid with a conventional proportional, integral, and derivative...
In this paper a suggested control system for a solenoid coil is proposed. This control model is based on the employment of the electrical part of the solenoid with a conventional proportional, integral, and derivative (PID) controller unit to investigate the performance of the control system. A mathematical model of the system has been derived, and the entire control system simulated via the MATLAB software package. The simulation process included tuning the gain parameters of the controller unit to achieve best behaviour of the system. In the computer simulation, two mathematical models of the electrical part of the solenoid coil were implemented; the first one involved the typical transfer functions of the coil, while the second dealt with an approximate model. The obtained results showed that the control system using the approximate model of the electrical part of the solenoid coil provides a more stable system and can thus be applied with acceptable response.
This work is focused on development of model for unbalanced rotor bearing system to predict system behaviour in dynamic environment. In this model, nonlinearity is introduced due to two factors, namely, clearance of b...
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ISBN:
(纸本)9780791850206
This work is focused on development of model for unbalanced rotor bearing system to predict system behaviour in dynamic environment. In this model, nonlinearity is introduced due to two factors, namely, clearance of bearing and localized bearing races defects. The contact between the races and balls is considered as Hertzian contact which results in nonlinear restoring force due to elastic deformation in contact zone. In the mathematical formulation, the shaft is considered as rotating Timoshenko beam, supported on two ball bearings. After modelling of shaft corresponding equations representing the system behaviour has been formulated. The governing equations of motion are solved by Sixth order Runge-Kutta method. Bifurcation plots have been plotted to understand the state of the system in healthy condition and due to localized defects on races of the bearings. The Frequency spectrum and phase trajectory diagrams are also plotted for better understanding of the system response.
Water supply networks (WSNs) represent an important part of urban technical infrastructure. Recently, the resilience of water distribution networks facing different physical and cyber threats has gained increasing att...
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Water supply networks (WSNs) represent an important part of urban technical infrastructure. Recently, the resilience of water distribution networks facing different physical and cyber threats has gained increasing attention. In order to improve the operation of complex water distribution systems under both, extreme and normal hydraulic conditions, mathematical simulation models are indispensable tools for engineers, network planners, network operators and decision makers. Especially, in the case of extremely disruptive events that might be caused by natural hazards or deliberate malevolent attacks by humans, the proper operation of the system for maintaining the supply of drinking water to at least parts of the population is a very challenging task. Resilient behaviour can be reached only by adaptive system operation including isolation of parts of the network and control of pressure and flows in the system. For that purpose, different kinds of control devices are used that may be remotely controlled or which are operated in the field. Existing hydraulic simulation software often fails to calculate reliable results for systems under control and pressure insufficiency. A mathematical framework for the simulation of the steady-state flow in reticulation water supply networks with special consideration of feedback control devices and pressure dependent demands is proposed in this paper. First, the importance of the steady-state calculation in the face of disruptive events is stressed and a brief review of synthetic and analytical methods for the hydraulic steadystate calculation is given. In this paper, the well-known content model is extended by the content of pressure dependent outflows. The nonlinear consumption functions in combination with linear inequality constraints (box constraints) replace the constant demands of demand driven analysis. It is also shown that the range of solvable problems in combination with flow control devices is enlarged by the relaxation
Expanding agricultural activities and industrial operations have resulted in the accumulation of toxic chemicals in our environment, and have become a potential threat to human health as well as to the flora and fauna...
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ISBN:
(纸本)9780987214379
Expanding agricultural activities and industrial operations have resulted in the accumulation of toxic chemicals in our environment, and have become a potential threat to human health as well as to the flora and fauna in our ecosystems. The assessment of contamination risk to our environment mainly relies on mathematical models that estimate the contaminant concentrations and the leaching rates into aquifers. The contaminant level is commonly determined by comparing the concentrations predicted by models against a threshold concentration, and the ecosystem is considered at risk if the predicted contaminant concentration is above a threshold value. Although environmental models can describe contaminant transport and adsorption processes relatively well, most of these models do not take into account the capability of microorganisms to degrade toxic contaminants into less toxic or non-toxic molecules. Many experimental and in-situ studies have shown that soil microbial activity can result in a relatively fast rate of contaminant degradation, therefore implying that the time required to "clean-up" a contaminated site may be substantially shorter in the presence of receptive microorganisms. Hence, ecological risk assessments not accounting for microbial load and specific catabolic processes can overstate the risks and lead to the making of policies and management strategies only partly suitable to specific contaminated ecosystems. In this study, we integrated the biodegradation potential ψB of a contaminant into ecological risk assessment index through the specific biomass affinity . We focused on atrazine (ATZ), one of the most extensively used herbicides in Australia, as the model contaminant using data from la Cecilia and Maggi (2017), and the Hazard Quotient as the modeled ecological risk index (Suter II, 2007). Model parameters were estimated from laboratory experiments, while simulations were extended to a 60-year time scale to analyze the Hazard Quotient of ATZ co
mathematical models of human operator play a very important role in the human-in-the-Loop manual control system. For several decades, modeling human operator's dynamic has been an active research area. The traditi...
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ISBN:
(纸本)9780791857199
mathematical models of human operator play a very important role in the human-in-the-Loop manual control system. For several decades, modeling human operator's dynamic has been an active research area. The traditional classical human operator models are usually developed using the Quasi-linear transfer function method, the optimal control theory method, and so on. The human operator models established by the above methods have deficiencies such as complicated and over parameterized, even for basic control elements. In this paper, based on the characteristics of human brain and behaviour, two kinds of fractional order mathematical models for describing human operator behavior are proposed. Through validation and comparison by the actual data, the best_fit model with smallest root mean squared error (RMSE) is obtained, which has simple structure with only few parameters, and each parameter has definite physical meaning.
Some recent developments regarding the application of analytical modelling of systems susceptible to interactive buckling are presented. The aim of the current work is to highlight some advantages of mathematical mode...
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ISBN:
(纸本)9781315641645;9781138029279
Some recent developments regarding the application of analytical modelling of systems susceptible to interactive buckling are presented. The aim of the current work is to highlight some advantages of mathematicalmodelling for interpreting the mechanical response of practical nonlinear problems in structural engineering and mechanics. Two applications where prestressing is combined with nonlinear instability are presented. The presented cases have been used to validate numerical simulations and allow insights into the fundamental parameters that control large deflection behaviour.
Assessing the condition of water pipes is a complex task, partly due to scarcity of complete maintenance records and field observations. This makes it harder to identify the factors determining pipe condition and thei...
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ISBN:
(纸本)9781509054442
Assessing the condition of water pipes is a complex task, partly due to scarcity of complete maintenance records and field observations. This makes it harder to identify the factors determining pipe condition and their probabilistic relationships with the deterioration process. A challenge facing water utilities is to find an effective and reliable tool for assessing their pipelines and taking prompt decisions regarding repair and maintenance to extend the service life and keep them safe from sudden failures. This paper presents research on a new fuzzy-based methodology for modelling water pipe condition prediction. It proposes a hierarchical fuzzy rule-based model that uses a simplified and effective method for supporting the elicitation of the fuzzy rules and adapting uncertainty propagation that can be intuitively understood by human experts. The results of applying the model to the water pipes domain shows the plausibility of extending the approach to other knowledge domains based on human expertise.
In this present paper a model with media coverage and vaccination is proposed on the spread of H7N9 influenza. We worked out the disease-free equilibrium and basic reproductive number by mathematical method and analyz...
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In this present paper a model with media coverage and vaccination is proposed on the spread of H7N9 influenza. We worked out the disease-free equilibrium and basic reproductive number by mathematical method and analyzed the sensitivity and uncertainty of the basic reproductive number by random sampling. At the same time, we also make some simulation on the stability of the disease-free equilibrium and the influence of the media coverage on the spread of the disease. These conditions can be used to gain important insights into the effect of media coverage and treatment on the prevention and control of influenza. The simulations are also conducted to confirm and extend the analytic results.
In this paper a model suitable for representing the electrical dynamic behaviour of Sodium Metal Halides Batteries (SMHBs) has been reported. In particular, the Thevenin circuit approach has been investigated consider...
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In this paper a model suitable for representing the electrical dynamic behaviour of Sodium Metal Halides Batteries (SMHBs) has been reported. In particular, the Thevenin circuit approach has been investigated considering the equivalent circuit parameters depending on the State Of Charge (SOC). The proposed SMHB model has been developed referring to the experimental tests conducted on a commercial module with a capacity of 23.5 kWh and a rated discharge power of 7.8 kW. In order to develop the identification of the Thevenin circuit parameters, a numerical processing of the specific measurements of a SMHB test-bench, considering the dynamic analytic solution of Thevenin circuit battery voltage, has been carried out and discussed in detail. The proposed approach allows a significant reduction of steady state errors respect to the numerical fitting procedure. Finally, the optimization of the first step identification process has been performed obtaining a very small variation in the values of the identified parameters by means of the proposed approach. The comparison between the experimental and simulation results has confirmed the good accuracy of the proposed model in a defined SOC range.
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