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This study shows the Simulation of an Agent Based Model for Land Use Change (SIMBACUS) developed on the Netlogo platform (Wilensky, 1999) for the period of 2010–2030. The model studies the interaction of individual behavior with environmental characteristics considering socioeconomic, demographic, climate and public policy aspects of Pachuca de Soto (Hidalgo). The simulation's dynamism is based on...
Modelling and simulation assist in decision support or planning activities by allowing efficient exploration of multiple scenarios in a situation where testing in a real setting is impractical. This exploration is often done by varying numerical parameters in the model such as physical dimensions or speed in order to find the optimal configuration. However, for certain problems, in order to find optimal...
Equation-based, object-oriented simulation of dynamical systems, first introduced in the '90, has now reached a state of maturity, and is widely used in a number of engineering domains, such as automotive, mechatronics. The talk will give an overview of the object-oriented modelling paradigm and of successful applications, with particular reference to the Modelica language and tools. It will also...
Agent-based Modeling (ABM) has become quite popular to the simulation community for its usability and wide area of applicability. However, speed is not usually a trait that ABM tools are characterized of attaining. This paper presents HLogo, a parallel variant of the NetLogo ABM framework, that seeks to increase the performance of ABM by utilizing Software Transactional Memory and multi-core CPUs,...
This paper describes a hybrid simulation model that integrates the System Dynamic approach with discrete time control to formulate the projections of population evolution. The study relies on historical demographic data and the officially formulated scenarios for the most likely population projections developed for the region. The results of the simulation experiments provide valuable insights into...
We explored a possible new method for prediction of activating mutations in cancer-related proteins. This method is based on elucidation of flexibility of proteins associated in activating complexes. Based on the theory of intermediate binding complexes, the binding process is not only related to the three-dimensional structure of proteins, but also to the four-dimensional set of possible conformations...
A practical application of multi-physics simulations was presented. In order to analyse thermal stability of MEMS micro scanner, multi-physics simulation procedure was proposed and then verified by comparing the simulated results to the measured data. The proposed procedure started from defining simulation parameters and was verified stepwise by comparing the interim results with the related experimental...
Recently, a framework has been developed to automate the training of prediction algorithms but has only been tested on one system. In order to generalize the approach a few key functions must be performed. One of these functions is load generation. Unfortunately, a valid load generator has not been developed for a Microsoft Windows active directory environment. In this paper we introduce and detail...
High level hardware simulation and modeling techniques matured significantly over the last years and have become more and more important in practice, e.g., in the industrial hardware development and automotive domain. Yet, there are many other challenging application areas such as numerical solvers for environmental or disaster prediction problems, e.g., tsunami and storm surge simulations, that could...
A new rational quartic interpolating spline based on function values is constructed. The rational quartic interpolating spline curves have simple and explicit representation with parameters. The monotonicity-preserving, C2 continuity and boundedness of rational quartic interpolating spline curves are confirmed. Function value control and derivative value control of rational quartic interpolation spline...
Regional cities in Japan have a lot of social issues. Various measures are being considered to solve these social issues, but it is difficult to ascertain and implement practical and effective measures to address them. In this study, we proposed a method for selecting indicators that have a causal relation to solve the social issues based on a causal inference. If there was a causal relation between...
Following a number of studies that have interrogated the usability of an autoencoder neural network in various classification and regression approximation problems, this manuscript focuses on its usability in water demand predictive modelling, with the Gauteng Province of the Republic of South Africa being chosen as a case study. Water demand predictive modelling is a regression approximation problem...
Research in behavior-based design faces many challenges regarding the aids in conceptual design of biorobots, representation of a biological system's behavior in a well formed modeling tool and therefore providing systematic transformation of this behavior into robot design. This paper reports a research that focuses on the development of a Petri Net model to represent a biological system's behavior...
Health Care (HC) organizational structure and related management policies are essential factors of HC system. They can be tested through simulations in order to improve HC performance. To simplify the design of these simulations we have proposed a modelling approach based on an additional structure. The modelling approach considers the complexity of the modelling process, where in the various models...
We consider generalized resistive systems, comprising linear Kirchhoff equations and non-linear element equations, depending on the flow through the element and on two adjacent nodal variables. The derivatives of the element equation should possess a special signature. For such systems we prove the global non-degeneracy of the Jacobi matrix and the applicability of globally convergent solution tracing...
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