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  • A robust model for generation and transmission expansion planning with emission constraints
    Simulation (IF 1.455) Pub Date : 2020-05-18
    Abdollah Ahmadi; Hani Mavalizadeh; Ali Esmaeel Nezhad; Pierluigi Siano; Heidar Ali Shayanfar; Branislav Hredzak

    This paper presents the application of information gap decision theory (IGDT) to deal with uncertainties associated with load forecasting in dynamic, environment constrained, coordinated generation and transmission expansion planning. Traditionally, the gaseous emissions are constrained over the whole system. Conventional methods cannot guarantee a practical expansion plan since huge emissions can

  • Post-processing and visualization of large-scale DEM simulation data with the open-source VELaSSCo platform
    Simulation (IF 1.455) Pub Date : 2020-05-05
    John P. Morrissey; Prabhat Totoo; Kevin J. Hanley; Stefanos-Aldo Papanicolopulos; Jin Y. Ooi; Iván Cores Gonzalez; Bruno Raffin; Seyedmorteza Mostajabodaveh; Thomas Gierlinger

    Regardless of its origin, in the near future the challenge will not be how to generate data, but rather how to manage big and highly distributed data to make it more easily handled and more accessible by users on their personal devices. VELaSSCo (Visualization for Extremely Large-Scale Scientific Computing) is a platform developed to provide new visual analysis methods for large-scale simulations serving

  • Evaluating intensive care unit admission and discharge policies using a discrete event simulation model
    Simulation (IF 1.455) Pub Date : 2020-04-24
    Imran Hasan; Esmaeil Bahalkeh; Yuehwern Yih

    The efficient utilization and management of a scarce resource such as the intensive care unit (ICU) is critical to the smooth functioning of a hospital. This study investigates the impact of a set of operational policies on ICU behavior and performance. Specifically, the implemented policies are (a) wait time thresholds on how long patients can wait for an ICU bed, (b) the time windows during which

  • A simulation model for ergonomic design of industrial processes
    Simulation (IF 1.455) Pub Date : 2020-04-12
    Voratas Kachitvichyanukul; James R. Buck; Chee-Seng Ong

    This study examines the feasibility and potential benefits of using simulation to aid designers of large industrial processes. A demon stration of simulations is provided in the basic oxygen furnace shop and subsequent steel-making operations prior to rolling slabs. We explore three design situations: (1) a new processing technology, (2) the removal of bottlenecks in current operations, and (3) sensitivities

  • Linguistic dynamic simulation A new approach
    Simulation (IF 1.455) Pub Date : 2020-04-12
    António S. Câmara; Paula C. Antunes; Manuel Duarte Pinheiro; Maria Julia Fonseca de Seixas

    A new dynamic modeling methodology, SLIN, allows for the analysis of systems defined by linguistic variables. SLIN applies a set of logical rules which include base, tactical, strategic and structural change. To make the transition from qualitative to quantitative modes, logical rules are also used. SLIN is advanta geously implemented in a very high-level language such as PRO LOG. A simple ecological

  • Parameter optimization with ACSL models
    Simulation (IF 1.455) Pub Date : 2020-04-12
    Joseph R. Amyot; Gerard van Blokland

    A method whereby a parameter optimization program, written in FORTRAN, can be used in conjunction with ACSL (Advanced Continuous Simulation Language) models of dynamic systems is described. The optimization of a projectile's trajectory is used as an example.

  • Hierarchical, modular discrete-event modelling in an object-oriented environment
    Simulation (IF 1.455) Pub Date : 2020-04-12
    Bernard P. Zeigler

    Hierarchical, modular specification of discrete-event models of fers a basis for reusable model bases and hence for enhanced simulation of truly varied design alternatives. We describe an envi ronment which realizes the DEVS formalism developed in Zeigler (1984) for hierarchical, modular models. It is implemented in PC-Scheme, a powerful Lisp dialect for microcomputers contain ing an object-oriented

  • An Artificial Neural Networks approach to predict low-velocity impact forces in an elastomer material
    Simulation (IF 1.455) Pub Date : 2020-03-13
    Alejandro E Rodríguez-Sánchez

    The study of the impact phenomenon on rubber-like materials has been traditionally related to lumped parameter modeling or discrete Finite Element models that require experimentation associated with the material behavior at a level of constitutive modeling, and additional testing to validate their operation in case of engineering applications. This article presents an Artificial Neural Network approach

  • A quasi-Monte Carlo method based on the Karhunen–Loeve expansion for groundwater flow simulation
    Simulation (IF 1.455) Pub Date : 2020-03-03
    Liao Weihong; Jiao Anjia

    To study the effects of spatial variability on groundwater flow simulation, some stochastic methods are proposed in this study. The Karhunen–Loeve expansion is utilized to generate the random field of the parameter conductivity. The conventional and pseudo-random, Latin hypercube, and quasi-random sampling methods are employed to generate random vectors in the Karhunen–Loeve expansion. Various Monte

  • A novel parallel clock-driven algorithm for simulation of neuronal networks based on virtual synapse
    Simulation (IF 1.455) Pub Date : 2020-02-19
    Zhijie Wang; Xia Peng; Fang Han; Guangxiao Song

    The traditional clock-driven algorithm is very time-consuming when performed on large-scale neuronal networks due to the huge number of synaptic currents computation and low performance of the parallel implementation of the algorithm. We find in this paper that the conductance coefficients of all the synapses coming from the same presynaptic neuron (neuron i for example) does not need to be computed

  • Design of slip-based traction control system for EV and validation using co-simulation between Adams and Matlab/Simulink
    Simulation (IF 1.455) Pub Date : 2020-01-21
    Sudipta Saha; Syed Muhammad Amrr

    This paper focuses on controlling traction for a four-wheel electric vehicle by using the longitudinal slip ratio control technique. By keeping the slip ratio value inside an optimal limit, it can be ensured that the maximum driving force is obtainable by increasing the friction force between tire and road. The usefulness of the sliding mode control method is to provide robust performance from the

  • A multi-agent model of changes in urban safety livability
    Simulation (IF 1.455) Pub Date : 2020-01-21
    Pan Lihu; Li Xiaowen; Qin Shipeng; Zhang Yingjun; Yan Huimin

    Urban livability is an important factor in decisions regarding modern urban construction. Based on multi-agent modeling theory, a model of the changes in urban safety livability is proposed to analyze the present situation and the trends in urban safety livability in complex urban systems. Considering safety as an example, five environmental indicators, namely public security, fire protection, traffic

  • JigCell Model Connector: building large molecular network models from components.
    Simulation Pub Date : 2019-07-16
    Thomas C Jones,Stefan Hoops,Layne T Watson,Alida Palmisano,John J Tyson,Clifford A Shaffer

    The growing size and complexity of molecular network models makes them increasingly difficult to construct and understand. Modifying a model that consists of tens of reactions is no easy task. Attempting the same on a model containing hundreds of reactions can seem nearly impossible. We present the JigCell Model Connector, a software tool that supports large-scale molecular network modeling. Our approach

  • Distributed dynamic simulations of networked control and building performance applications.
    Simulation Pub Date : 2018-03-24
    Azzedine Yahiaoui

    The use of computer-based automation and control systems for smart sustainable buildings, often so-called Automated Buildings (ABs), has become an effective way to automatically control, optimize, and supervise a wide range of building performance applications over a network while achieving the minimum energy consumption possible, and in doing so generally refers to Building Automation and Control

  • A stochastic agent-based model of pathogen propagation in dynamic multi-relational social networks.
    Simulation Pub Date : 2015-04-11
    Bilal Khan,Kirk Dombrowski,Mohamed Saad

    We describe a general framework for modeling and stochastic simulation of epidemics in realistic dynamic social networks, which incorporates heterogeneity in the types of individuals, types of interconnecting risk-bearing relationships, and types of pathogens transmitted across them. Dynamism is supported through arrival and departure processes, continuous restructuring of risk relationships, and changes

  • DeMO: An Ontology for Discrete-event Modeling and Simulation.
    Simulation Pub Date : 2012-08-25
    Gregory A Silver,John A Miller,Maria Hybinette,Gregory Baramidze,William S York

    Several fields have created ontologies for their subdomains. For example, the biological sciences have developed extensive ontologies such as the Gene Ontology, which is considered a great success. Ontologies could provide similar advantages to the Modeling and Simulation community. They provide a way to establish common vocabularies and capture knowledge about a particular domain with community-wide

  • Discrete-Event Models of Mixed-Phenotype Plasmodium falciparum Malaria.
    Simulation Pub Date : 2008-08-14
    F Ellis McKenzie,Roger C Wong,William H Bossert

    We extend our basic discrete-event model of Plasmodium falciparum malaria to encompass circumstances in which multiple phenotypic variants of the parasite circulate within interacting human and mosquito populations, and we compare a version in which variants behave independently to one in which they interact through shared host immune responses. Relative to the standard hypothesis of statistical independence

  • Discrete-Event Simulation Models of Plasmodium falciparum Malaria.
    Simulation Pub Date : 2008-08-01
    F Ellis McKenzie,Roger C Wong,William H Bossert

    We develop discrete-event simulation models using a single "timeline" variable to represent the Plasmodium falciparum lifecycle in individual hosts and vectors within interacting host and vector populations. Where they are comparable our conclusions regarding the relative importance of vector mortality and the durations of host immunity and parasite development are congruent with those of classic

  • SIMCON-simulation control to optimize man-machine interaction.
    Simulation Pub Date : 1970-02-01
    Dennis U Anderson,Thomas J Knopp,James B Bassingthwaighte

    The fitting of mathematical models to physiological systems can be tedious and difficult, whether one uses analog or digital computer methods. Both methods have their pros and cons depending on the available hardware and software and on the type of modeling. In recent years many digital simulation languages have been written combining analog-like and digital features to facilitate modeling, but, for

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