SIMULTECH 2021 Abstracts


Area 1 - Simulation Methodologies

Full Papers
Paper Nr: 16
Title:

Simulation Runtime Prediction Approach based on Stacking Ensemble Learning

Authors:

Yuhao Xiao, Yiping Yao, Feng Zhu and Kai Chen

Abstract: Many technologies in complex system simulation (CSM), such as resource scheduling and load balancing, largely rely on historical data with different characteristics to predict the future. The accuracy of runtime prediction has a significant impact on scheduling performance. However, with cloud computing becoming the main infrastructure for deploying CSM applications, the current prediction methods are difficult to adapt to the dynamic changes of cloud computing resources. Insufficient computing resource allocation will be difficult to support the efficient operation of simulation. In addition, excessive computing resource allocation will lead to higher computing and data communication costs. Therefore, a simulation runtime prediction approach based on stacking ensemble learning has been proposed, which uses the characteristic variables of simulation applications (such as the number of simulation entities, the number of simulation events, the simulation time, etc.) and the performance monitoring data of computing resources (such as CPU utilization, memory utilization, etc.) as the characteristic inputs. The machine learning algorithms such as XBG, SVG, MLP are integrated by stacking model, and the performance of the integrated learning algorithm is comprehensively evaluated by mean absolute error (MAE), accuracy (ACC), root mean square error (RMSE) and coefficient of determination (R2). Experimental results show that the proposed algorithm improve the prediction accuracy by 3% - 24% when compared with existing machine learning prediction methods.
Download

Paper Nr: 18
Title:

Dynamics Modelling and Simulation of Super Truss Element based on Non-linear Beam Element

Authors:

Lingchong Gao, Xiaobing Dai, Michael Kleeberger and Johannes Fottner

Abstract: A mobile crane equipped with a lattice boom system is widely used to lift the heavy load on construction sites. Even though the lattice structure can provide strong support with limited mass, the inertia force of the lattice boom is still not neglectable, so is the heavy lifting load. Therefore, the dynamic response of the lattice boom is important but also time-consuming due to a large number of degrees of freedom. In engineering, the truss beam is often simplified as a continuous beam, but because of the noncontinuity of the truss, this direct modelling method cannot truly reflect the actual dynamics of the truss. In this paper, a detailed Super Truss Element formulation for nonlinear truss elements is proposed to reduce the number of degrees of freedom. The formulation uses nonlinear spatial Timoshenko Beam based on co-rotational coordinate and dynamic condensation approach with three assumptions. After parameterizing the characteristics of the Super Truss Element, a nonlinear method for the calculation of the mass matrix and force vector in a large displacement and rotation is developed. A dynamic simulation of the spatial motion of the lattice boom crane is performed and the results are analysed.
Download

Paper Nr: 43
Title:

Simulating a Random Vector Conditionally to a Subvariety: A Generic Dichotomous Approach

Authors:

Frédéric Dambreville

Abstract: The problem of sampling a random vector conditionally to a subvariety within a box (actually, a small volume around the subvariety) is addressed. The approach is generic, in the sense that the subvariety may be defined by an isosurface related to any (computable) continuous function. Our approach is based on a dichotomous method. As a result, the sampling process is straightforward, accurate and avoids the use of Markov chain Monte Carlo. Our implementation relies on the evaluation of the matching with the subvariety at each dichotomy step. By using interval analysis techniques for evaluating the matching, our method has been applied up to dimension 11. Perspectives are evoked for improving the sampling efficiency on higher dimensions. An example of application of this simulation technique to black-box function optimization is detailed.
Download

Short Papers
Paper Nr: 20
Title:

Real Cockpit Proposal for Flight Simulation with Airbus A32x Models: An Overview Description

Authors:

José Carvalho, André C. Mendes, Thadeu Brito and José Lima

Abstract: This paper describes the several steps to build an elaborate flight simulator cockpit, where the hardware is designed based on Mechatronic principles and the proposed software was developed using agile methodologies to create a Cyber-Physical System (CPS). Furthermore, this research attempts to simulate the real environment from an aircraft as close as possible with a real scale developed cockpit. Based on this, the presented paper contributions include: (1) The implementation of a complex dynamic system such as a CPS, where the Mechatronic system is part of it; (2) The deployment of a scale model of an Airbus A32x aircraft (one of the most used), integrating into a mathematical model adapted to the operation of an aircraft flight simulation system, regarding the physical forces involved. This project is also used to captivate the students’ motivation to the areas of technology such as electronics and programming and permits its development as a student project and thesis. Results allow validating the proposed cockpit.
Download

Paper Nr: 47
Title:

Novel Method for the Three-Dimensional Simulation of Mechanical Ageing of Battery Modules

Authors:

Tolga Bozalp, Muhammad R. Siddiqui, Holger Opfer and Thomas Vietor

Abstract: This study introduces a novel method for modelling the mechanical ageing behavior of battery modules over lifetime, based on a simplified, mathematical approach. The focus is placed on the force displacement behavior of battery modules due to the swelling of its cells in the course of electrochemical ageing. In the first step, the development of a proper modelling method is conducted, before the implementation of the single-domain model is carried out. Multiple size scales are included in this model, since cell and battery module level are considered. The model implementation is realized with two different approaches for examination of simulation trade-offs regarding accuracy and computing time. In the first approach, the module is modelled using the Finite-Element-Analysis (FEA) with a high number of elements. In an alternative, more simplified approach, the module model in form of a mathematical, analogous model is implemented with a significantly fewer number of elements. In both cases, the model layout is similar. Finally, both the approaches are validated with experimental measurements and compared regarding accuracy and computing time, amongst other parameter.
Download

Paper Nr: 49
Title:

Comparison of Different Radial Basis Functions in Dynamical Systems

Authors:

Carlos Argáez, Peter Giesl and Sigurdur Hafstein

Abstract: In this paper we study the impact of using different radial basis functions for the computation of complete Lyapunov function candidates using generalised interpolation. We compare the numerical well-posedness of the discretised problem, condition numbers of the collocation matrices, and the quality of the solutions for Wendland functions ψ3,1 and ψ5,3, Gaussians, Inverse quadratics and Inverse multiquadrics, and Matérn kernels ψ(n+3)/2 and ψ(n+5)/2.
Download

Paper Nr: 54
Title:

Mixed Discrete-Continuous Simulation for Digital Twins

Authors:

Neha Karanjkar and Subodh M. Joshi

Abstract: The advent of Digital Twins has precipitated the need for an open and flexible simulation framework with unique design considerations. A key requirement of such a framework is the ability to simulate systems containing a mix of discrete and continuous processes that may interact with each other. In this paper, we propose a framework for mixed discrete-continuous simulations particularly targeted for Digital Twin applications. The framework is based on SimPy, a popular discrete-event simulation library in Python. We first present a systematic approach by which continuous process simulations can be integrated within the event-stepped engine of SimPy. We illustrate the approach using an example. We then discuss the features of the proposed framework and the roadmap for its implementation.
Download

Paper Nr: 60
Title:

On the Implementation of Simulation-based on Representation by Rules Methodology to Plan Port Logistics Operation

Authors:

Anibal Tavares de Azevedo

Abstract: This paper proposes a fast and agile methodology that enables easy incorporation of different business rules for planning port logistics operations. The rules could be embedded in a simplified discrete-event and multi-agent simulation scheme that clearly shows the impacts of different rules in each part of the port operation. Furthermore, the developed approach enables an analysis of how operational decisions in one port could affect subsequent ports.
Download

Paper Nr: 64
Title:

Modelling Social Protests in the Republic of Belarus in 2020 based on Diffusion Equations

Authors:

Alexandr Y. Petukhov and Dmitry I. Kaminchenko

Abstract: In this article, we propose a model of social activity based on diffusion equations and a comparison of the modeling results with real data of protest activity (based on data in social networks) in Belarus in 2020. A model uses the diffusion Langevin equation. The model is based on the idea that individuals interact in society through a communicative field - h. Besides, the control is introduced into the system through the dissipation function. Protest data indicators were collected using the authors' content analysis of the main hashtags associated with Belarusian protests. Then the results of modeling were compared with the obtained data and analyzed. Based on the modeling we have revealed a general similarity in dynamics and characteristic patterns as well as have made a forecast for the development of the situation in 2021.
Download

Paper Nr: 38
Title:

Simulating Live Cloud Adaptations Prior to a Production Deployment using a Models at Runtime Approach

Authors:

Johannes Erbel, Alexander Trautsch and Jens Grabowski

Abstract: The utilization of distributed resources, especially in the cloud, has become a best practice in research and industry. However, orchestrating and adapting running cloud infrastructures and applications is still a tedious and error-prone task. Especially live adaptation changes need to be well tested before they can be applied to production systems. Meanwhile, a multitude of approaches exist that support the development of cloud applications, granting developers a lot of insight on possible issues. Nonetheless, not all issues can be discovered without performing an actual deployment. In this paper, we propose a model-driven concept that allows developers to assemble, test, and simulate the deployment and adaptation of cloud compositions without affecting the production system. In our concept, we reflect the production system in a runtime model and simulate all adaptive changes on a locally deployed duplicate of the model. We show the feasibility of the approach by performing a case study which simulates a reconfiguration of a computation cluster deployment. Using the presented approach, developers can easily assess how the planned adaptive steps and the execution of configuration management scripts affect the running system resulting in an early detection of deployment issues.
Download

Area 2 - Simulation Tools and Platforms

Full Papers
Paper Nr: 8
Title:

Reduced Order Modeling for Thermal Problems with Temperature-dependent Conductivities using Matrix Interpolation

Authors:

Meinhard Paffrath

Abstract: In this paper model order reduction of thermal problems with temperature dependent material parameters is considered. It is assumed that the full thermal problem is set up by a commercial solver where the user has only limited access to internal datastructures. For the full problem an approximation based on matrix interpolation is proposed which is applicable to commercial solvers like Simcenter Thermal Flow where system matrices can be extracted for given temperature fields. Model order reduction for the approximated problem is achieved by POD and DEIM.
Download

Paper Nr: 13
Title:

Modeling MCPTT and User Behavior in ns-3

Authors:

Wesley Garey, Thomas R. Henderson, Yishen Sun, Richard Rouil and Samantha Gamboa

Abstract: To support the advancement of public safety communications technology, the Third Generation Partnership Project (3GPP) has created several standards to define Mission Critical Push-To-Talk (MCPTT) over Long Term Evolution (LTE) networks. As this is a new service that can be used in dire situations, it is imperative that the behavior and performance meet the expectations of first responders. This paper introduces an extension to the network simulator, ns-3, that models MCPTT and user Push-To-Talk (PTT) activity, so that researchers can gain insights and evaluate the performance of this service. In this paper we will describe MCPTT based on 3GPP definitions, the implementation of the MCPTT model in ns-3, and some results, including Key Performance Indicators (KPIs), that can be extracted from this model.
Download

Paper Nr: 23
Title:

A Novel Technique for Modeling Vehicle Crash using Lumped Parameter Models

Authors:

Gulshan Noorsumar, Svitlana Rogovchenko, Kjell G. Robbersmyr, Dmitry Vysochinskiy and Andreas Klausen

Abstract: This paper presents a novel technique for modeling a full frontal vehicle crash. The crash event is divided into two phases; the first until maximum crush and the second part when the vehicle starts pitching forward. This novel technique will help develop a three degrees of freedom (DOF) lumped parameter model (LPM) for crash and support in the vehicle development process. The paper also highlights the design process for reducing vehicle pitching in occupant protection load cases. The model has been validated against a finite element (FE) simulation of a full frontal crash of a Chevrolet Silverado developed by the National Highway Traffic Safety Administration (NHTSA), and the LPM shows good correlation with the FE test data.
Download

Paper Nr: 35
Title:

Characterization of a Vertical Submersible Six-stage Pump: Accounting for the Induced Forces and Stresses

Authors:

Patrick Zito Malonda, Guyh Dituba Ngoma, Walid Ghié, Fouad Erchiqui and Python Kabeya

Abstract: This study deals with the numerical investigation on the shaft behavior of a vertical submersible multistage pump in terms of the axial and radial forces, and the stresses due to the liquid flow through the pump while taking into account different conditions of operation, the gap between the impeller and the diffuser, the rotating speed and the number of stages. This is to improve the pump performances while selecting the bearings and/or the bushes of the submersible pumps in a suitable manner with a long operational life and high reliability. From an existing vertical submersible six-stage pump, a pump model is developed. The continuity, the Navier-Stokes, the stresses and the strains equations are applied to obtain by means of the ANSYS-codes the fields of the liquid flow velocity and the pressure, the stresses, the strains, so as the axial and radial forces. Numerical simulations are carried out to analyze the shaft behavior. The results obtained for the pump head and the stress are validated using the experimental results of the pump head and the results from the classical equations of stresses.
Download

Paper Nr: 41
Title:

Routing Optimization in Dynamic Networks based on a New Entropy Metric

Authors:

Mauro Tropea and Peppino Fazio

Abstract: A key role in the modern telecommunication networks is played by routing aspects as the great number of works present in literature proves. In particular, in the mobile ad-hoc networks routing is a fundamental aspects because the mobile devices nature and their elevate dynamism. In fact, it is important to have the possibility of finding the minimum overhead for connectivity in the network and, calculate the communication potential through the analysis of different parameters. The focus of this paper is represented by the analysis of the entropy in this type of mobile networks. The entropy gives the possibility of studying and predicting the dynamics of mobile nodes. The knowledge of these aspects can help to optimise some key features of wireless mobile communications, such as nodes stability, channel failures, and routing costs. Many simulation campaigns have been carried out by taking into account the movement of the real nodes, obtaining beneficial results, which confirm the effectiveness of the proposed study.
Download

Paper Nr: 52
Title:

A Universal Mechanism for Implementing Functional Mock-up Units

Authors:

Christian M. Legaard, Daniella Tola, Thomas Schranz, Hugo D. Macedo and Peter G. Larsen

Abstract: Producing independent simulation units that can be used in a Functional Mock-Up Interface (FMI) setting is challenging. In some cases, a modelling tool may be available that provides the exact capabilities needed by exporting such units. However, there may be cases where existing tools are not suitable, or the cost is prohibitive, thus it may be necessary to implement a Functional Mock-up Unit (FMU) from scratch. Correctly implementing an FMU from scratch requires a deep technical understanding of the FMI specification and the technologies it is built upon. A consequence of FMI being a C-based standard is that an FMU must, generally, be implemented in C or a compiled language that offers a binary-compatible with C such as C++, Rust, or Fortran. In this paper we present UniFMU, a tool that makes it possible to implement FMUs in any language, by writing an adapter that can be plugged in to our modular approach. UniFMU also provides both a graphical user interface and command-line interface feature for generating new FMUs from a selection of programming languages. We expect our tool and approach to be useful for the simulation community both when porting simulators written in languages without FMI support, and when implementing or re-implementing such support.
Download

Paper Nr: 53
Title:

Modelling Renewable Energy Sources for Harmonic Assessments in DIgSILENT PowerFactory: Comparison of Different Approaches

Authors:

Zhida Deng, Grazia Todeschini, Kah L. Koo and Maxwell Mulimakwenda

Abstract: With the increasing number of Renewable Energy Sources connected to the power grid, the impact on system operation is becoming more evident. To assess this impact, accurate computer models are required for both the power system and the devices connected to it. Various types of system integration studies need to be performed in order to study both steady-state and abnormal operation. Among the steady-state analyses, power quality studies assess the impact of Renewable Energy Sources on parameters such as voltage levels and harmonic content. Harmonic studies are gaining more attention because of the nature of renewable energy sources which are mainly connected to the power grid through electronic power converters, thus producing undesirable harmonics. This paper analyses various settings, solvers and harmonic source models in a commercial software – DIgSILENT PowerFactory – to ensure accurate calculation and correct interpretation of harmonic assessment. A simple model comprising seven harmonic devices is used for the analysis of various case studies. Their results are then compared with the standard IEC model and recommendations are proposed on how to appropriately model the RESs depending on the specific application considered.
Download

Paper Nr: 65
Title:

Viscoelastic Fluid Simulation based on the Combination of Viscous and Elastic Stresses

Authors:

Nobuhiko Mukai, Ren Morooka, Takuya Natsume and Youngha Chang

Abstract: It is one of the challenging issues to simulate and visualize liquid behavior, especially the behavior of the viscoelastic fluid because it has both characteristics of viscosity and elasticity. Although Newtonian fluid, which sharing stress is proportional to the velocity gradient, is often analyzed with the ordinal governing equations that are Navier-Stokes equation and the equation of continuity, viscoelastic fluid behavior is so complex that there are no established governing equations, especially for the constitutive equation. Then, some studies used the Finite Element Method, and others developed a point-based method. In addition, the viscoelastic fluid has a unique characteristic called “Spinnability”. The fluid is stretched so long like a string and shrinks very fast when it is ruptured. Therefore, we have been performing viscoelastic fluid simulations based on Cauchy’s equation of motion by devising the stress term in the constitutive equation. In this paper, we report a viscoelastic fluid simulation based on the combination of viscous and elastic stresses.
Download

Short Papers
Paper Nr: 1
Title:

What Makes an Industrial Control System Security Testbed Credible and Acceptable? Towards a Design Consideration Framework

Authors:

Uchenna D. Ani and Jeremy M. Watson

Abstract: The convergence of Industrial Control System (ICS) with Information Technologies (IT) coupled with the resulting and widely publicized cyber security incidents have made ICS security and resilience issues of critical concern to operators and governments. The inability to apply traditional IT security practice to ICSs further complicates the challenges of effectively securing critical industrial systems. To investigate these challenges without impacting upon live system operations, testbeds are being widely used as viable options to explore, develop and assess security risks and controls. However, how an ICS testbed is designed, and its attributes, can directly impact not only on its viability but also its credibility and acceptance for use as a whole. Through a systematic review and analysis of ICS security testbed design factors, a novel outline conceptual mapping of design factors for building credibility and acceptance is proposed. These design considerations include: design objectives, implementation approach, architectural component coverage, core operational characteristics, and evaluation approach.
Download

Paper Nr: 4
Title:

PyLogo: A Python Reimplementation of (Much of) NetLogo

Authors:

Russ Abbott and Jung S. Lim

Abstract: In the world of Agent-Based Modeling (ABM), NetLogo reigns as the most widely used platform. The NetLogo world of agents interacting in a two-dimensional space seems to provide just the right level of simplicity and abstraction for a wide range of models. Regrettably, the NetLogo language makes model development more painful than necessary. This combination—widespread popularity accompanied by unnecessary coding pain—motivated the development of PyLogo, a NetLogo-like modeling and simulation environment in which developers write their models in Python. Although other NetLogo-like systems exist, as far as we know PyLogo is the only NetLogo-like system in Python at this level of completeness. This paper examines a number of issues with the NetLogo language and offers a simple, illustrative PyLogo example model. PyLogo is open source and is available at this GitHub repository. We welcome collaborators.
Download

Paper Nr: 7
Title:

MMR: Multiple Majority Rule Model with Bias

Authors:

Sancho R. Corrales, Edwin Armas, Martin King, Joshua Moorehead, Omar N. Mourad and Salem Othman

Abstract: The Galam Majority Rule model describes how an opinion can spread in a network of nodes with no pre-existing edges. The model is used to describe opposing opinions that are represented in two states (Susceptible or Infected). This paper introduces a Multiple Majority Rule model (MMR) that improves the cons surrounding the Galam Majority Rule model by allowing opinion bias and adding a third state (undecided). The paper presents a comparative study between both models’ behavior and performance. Lastly, the paper analyzes the impact of the bias in the consensus of a majority.
Download

Paper Nr: 19
Title:

Development of a Framework for a Functional-Structural Seagrass Transplantation Simulation using GAMA Platform

Authors:

Therese A. Rollan, Ariel Blanco and Edgardo Macatulad

Abstract: A massive decrease in seagrass coverage in the Philippines has been observed in the past several years due to coastal eutrophication and typhoons. It is key to observe the changes and probable damage in seagrass habitat and develop a way to scientifically back up recovery strategies such as transplantation to increase the probability of rehabilitation success. This study describes the framework development of a transplantation scenario evaluation tool that performs Thalassia hemprichii growth simulation within an uproot site in Palawan as a case study. The growth parameters used include shoot leaf area, spacer length, plastochrone interval, and life expectancy, and horizontal apex density. Base scenario and three scenarios with varying combinations of transplantation density and distribution were applied to the three 4 x 4 grid plots with 24 x 24 cm cell size from classified drone imagery. Results show that transplantation distribution has a greater weight than density with respect to the percent cover responses. Based on the mean and standard deviation of percent cover responses, scenario 1 having 4 transplants with 24 cm intervals is the most suitable for plots 1 and 2, while scenario 2 having 8 transplants (2 per cell) with 24 cm intervals for plot 3.
Download

Paper Nr: 26
Title:

TEdit: A Distributed Tetrahedral Mesh Editor with Immediate Simulation Feedback

Authors:

D. Ströter, U. Krispel, J. S. Mueller-Roemer and D. W. Fellner

Abstract: The cycle of computer aided design and verification via physics simulation is often burdened by the use of separate tools for modeling and simulation, which requires conversion between formats, e.g. meshing for finite element simulation. This separation is often unavoidable because the tools contain specific domain knowledge which is mandatory for the task, for example a specific CAD modeling suite. We propose a distributed application that allows interactive modification of tetrahedral meshes, derived from existing CAD models. It provides immediate simulation feedback by offloading resource-intensive tasks onto multiple machines thereby enabling fast design cycles for individualized versions of mass-produced parts.
Download

Paper Nr: 31
Title:

Multi-domain Modeling and Simulation of an Oximeter: PVT Variations Impact of Opto-electronic Devices on the SpO2 Quantification

Authors:

Songlin Li, Julien Denoulet, Olivier Tsiakaka and Sylvain Feruglio

Abstract: Oxygen concentration quantification in the blood (SpO2) has been used as a mean to diagnose and prevent critical medical conditions thanks to pulse oximetry. In spite of its theoretical precision, this method suffers from intrinsic deviations from the components used in such monitoring devices (PVT) that can lead to SpO2 measurement errors. In this paper, we propose a multi-domain modeling of a NIRS-based blood oxygen saturation monitoring system and its biological environment using SystemC(-AMS) for virtual prototyping, to analyze the impact of PVT variations of opto-electrical components, thanks to Monte-Carlo simulation correlated with transient analysis. We simulated the blood flow of the finger tissue and the dynamic attenuation of the red and infrared light passing through the tissue. The Monte-Carlo simulation method was used to analyze different PVT parameters that may cause measurement deviations separately. Finally, we found that the red/IR LED peak wavelength deviation and the temperature of the system have an important impact on the SpO2 quantification, especially red LED peak wavelength deviation. This result shows that the choice of the red-light source is of prime importance for accurate SpO2 quantification.
Download

Paper Nr: 34
Title:

Robot@Factory Lite Competition: A Digital Twin Approach for the AGV

Authors:

João Braun, José Lima, Paulo Costa and António Moreira

Abstract: Robotics competitions are environments that foster teamwork, AI, and technology development by encouraging students, researchers, and academics to test their solutions against each other. These competitions often challenge the competitors’ prototypes with tasks specifically designed to benchmark them with the current optimal solutions. During the prototype stages of a robot, the development costs and time spent are often higher than other stages, as changes in the prototype are frequent. Simulation is often used to reduce these variables as it allows flexibility in all development stages before transitioning to the real scenario. However, a digital twin can be used to increase even further flexibility and effectiveness. Digital twins are virtual representations of real assets, providing replication and prediction of real scenario events, and real-time monitoring of the real object. Thus, this paper presents the development of a digital twin of an automatic guided vehicle (AGV) to the Robot@Factory Lite competition and the tests performed to validate the approach.
Download

Paper Nr: 36
Title:

Numerical Investigation of the Lateral Dynamic Behaviour of the Anaconda

Authors:

Python Kabeya Tshibamba, Guyh Dituba Ngoma and Fouad Erchiqui

Abstract: This paper deals with the study of a particular single track vehicle, named Anaconda. Numerical simulations are performed to assess the vehicle’s linear dynamic behavior. Indeed, multibody models of each component of the Anaconda and the one of the entire vehicle are developed and linearized around stationary states. The out-of-plane linearized sub-models are then used to have more insight in the lateral behaviour of the Anaconda and the influence of one of its component, the pedal module, on this behaviour is outlined. These tasks are carried out within the EasyDyn framework, an open source multibody library. Informative observations on the simulation results help to find out some features of the Anaconda concerning its linear dynamic behaviour; and some comment are made on the possibility of controlling its unstable eigenmodes.
Download

Paper Nr: 39
Title:

Parallel and Distributed Agent-based Simulation of Large-scale Socio-technical Systems with Loosely Coupled Virtual Machines

Authors:

Stefan Bosse

Abstract: Agent-based systems are inherently distributed and parallel by a distributed memory model, but agent-based simulation is often characterised by a shared memory model. This paper discusses the challenges of and solution for large-scale distributed agent-based simulation using virtual machines. Simulation of large-scale multi-agent systems with more than 10000 agents on a single processor node requires high computational times that can be far beyond the constraints set by the users, e.g., in real-time capable simulations. Parallel and distributed simulation involves the transformation of shared to a communication-based distributed memory model that can create a significant communication overhead. In this work, instead distributing an originally monolithic simulator with visualisation, a loosely coupled distributed agent process platform cluster network performing the agent processing for simulation is monitored by a visualisation and simulation control service. A typical use case of traffic simulation in smart city context is used for evaluation the performance of the proposed DSEJAMON architecture.
Download

Paper Nr: 50
Title:

Motorcycle Riding Simulator Controllability and Simulator Sickness: A Proof-of-Concept System

Authors:

Pauline Michel, Stéphane Espié and Samir Bouaziz

Abstract: Driving a motorcycle relies on the feedback provided by several human sensory systems, on the one hand, and anticipation of the consequences of control actions, on the other hand. Driving simulators aim to create the illusion of driving by stimulating the driver’s sensory systems. However, a significant number of drivers experience simulator sickness, which hinders the usefulness of driving simulators in their applications, such as driving behavior research or training / re-training. Simulator sickness occurrence is often attributed to sensory conflict. In this work, we propose an approach to understanding simulator sickness by considering the need for coherence between the complexity of the vehicle model and the complexity of the simulator from a hardware point-of-view, which constrains the fidelity of the reproduced sensory stimuli. We then describe the design of a proof-of-concept system that considers the particular issue of haptic feedback for the handlebars of a motorcycle-riding simulator. We will use this system in further experiments to demonstrate the impact of the coherence or mismatch of those two aspects on controllability and simulator sickness occurrence.
Download

Paper Nr: 51
Title:

A Distributed Mesh Generation Study Case through a Customizable Platform as a Service Framework

Authors:

Francesc Costa-Majó, Paloma Barreda and Sergio Iserte

Abstract: The quality of a mesh can determine the accuracy of a Computational Fluid Dynamics (CFD) simulation. In fact, meshing is not only a user highly time-consuming endeavor but also demands a lot of computational power. The need for powerful and useful tools for meshing can have a real impact on productivity and the final result. In this paper, a customizable platform as a service for meshing, named Evoker, is presented and evaluated to assist users to work over different types of geometries and accelerate the generation of meshes. Evoker is a zero-installation tool with a web Graphical User Interface (Web-GUI), which cloud-server runs OpenFOAM in order to provide a friendly interface to its meshing utilities. Evoker also manages cloud computing resources to distribute the mesh generation among different processors. Through the presented use case, Evoker demonstrates to be a versatile meshing solution that can help to save a lot of time for their users.
Download

Paper Nr: 9
Title:

Using Meta-heuristics to Optimize the Parameterization of Algorithms in Simulation Models

Authors:

Chabi Babatounde, Bastien Poggi, Thierry Antoine-Santoni and Antoine Aiello

Abstract: The research topic of the laboratory Science Pour l’Environnement (SPE) and the laboratory STELLA MARE of Université de Corse, focus on solving the environmental problems of our time. Various research teams focus their work on modeling and simulation of complex systems and behavioral modeling of species. Generally, in this modeling process (abstractions from the real world), we observe that the parameterization of the models is usually very tedious, carried out in an empirical or intuitive way based on assumptions specific to each modeler. There are also several modeling techniques which are generally parameterized intuitively and empirically. We have therefore proposed an approach to optimize the parameterization of models based on the algorithms of these models. This approach uses meta-heuristics, a class of optimization algorithms inspired by nature for which we obtain remarkable results. The use of meta-heuristics in this approach is justified by the nature of the problem to be solved. Indeed, the parameterization of models can be considered as a complex problem with a very large solution space that needs to be explored in an intelligent way. The risk of a combinatorial explosion is also very high because of the number of variables to be optimized. The advantage of this approach that we propose is that it allows an evolutive optimization of the model parameterization as the data arrives. For the validation of this approach, we used simulated data from a theoretical model. The validation of this theoretical model opens possibilities of applications on real world models.
Download

Paper Nr: 17
Title:

The Trap of 2D in Artificial Models of Tumours: The Case for 3D In-silico Simulations

Authors:

Dario Panada and Bijan Parsia

Abstract: Artificial modelling of tumours can provide insights in cancer biology and offer a powerful complement to laboratory research. A common approach is to simulate tumour growth in a two-dimensional environment and to then generalize results to a three-dimensional one. Literature suggests this strategy fails to adequately capture the underlying biology and may provide misleading results. To establish whether 2D models may form a viable alternative to 3D ones, we developed a model comprising cancer cell growth and proliferation and soluble diffusion to replicate experiments previously performed in a laboratory. We made use of established parametrization techniques to configure our simulations and novel error estimation strategies to evaluate them. Our results suggest that the same simulation in 2D and 3D yields significantly different results. Further, that the cause of this discrepancy lies in the spatial geometry of 2D simulations which does not allow for the formation of hypoxic regions in the tumour mass. We conclude with a recommendation that due to the limitations of 2D simulations, and the negligible difference in cost between the two approaches, 3D simulations should be employed over 2D ones.
Download

Paper Nr: 29
Title:

VDNA-Lab: A Computational Simulation Platform for DNA Multi-strand Dynamics

Authors:

Frankie Spencer, Usman Sanwal and Eugen Czeizler

Abstract: The dynamics of nucleic-acids dynamical systems is intrinsically based on local interaction. The major acting mechanisms are that of Watson-Crick complementarity on one-hand, generating binding events, and thermal energy on the other, generating random motion and un-binding. It is thus predictable that such systems can be successfully captured by computational modeling paradigms based on local interactions, such as the rule-based modeling methodology. In this research we introduce the Virtual DNA Lab (VDNA-Lab) a simulation tool which provides an easy to use graphical interface for creating, running and visualizing synthetic simulations for DNA assembly systems, such as assembly of DNA nanostructures, strand displacement cascades systems, DNA-tile assembly etc. It employs a custom designed model, implemented in the BioNetGen Language (BNGL) formalism, to capture the DNA dynamics, as well as the NFsim computational modeling engine to run simulations and generate outputs. These outputs can be visualized using the VDNA-Lab’s own visualization tool, which allows also for further analysis and filtering. The software is freely available at https://github.com/Frankie-Spencer/virtual dna lab.
Download

Paper Nr: 46
Title:

Extending OMNeT++ Simulator to Secure Vehicular Communication under Blackhole Attack

Authors:

Gerardo M. Marotta and Floriano De Rango

Abstract: Vehicular Ad Hoc Networks (VANET) are gaining a lot of interest in these last years. Connected and autonomous vehicles are becoming a reality and security aspects need to be considered in the vehicle’s communication and architecture in order to support critical services. In this paper, an additional security module has been proposed and added in OMNeT++ to support security features in vehicle communications. Cryptography and authentication services have been introduced to protect VANET by black-hole attacks. Some attack scenarios have been considered and security features have been proposed to mitigate or avoid these security attacks. Security features increase a little bit the protocol overhead, but they are able to maintain good performance under attack scenario. Performance evaluation has been led out considering as metrics the number of dropped packets, number of sent packets and the end-to-end delay.
Download

Area 3 - Complex Systems Modeling and Simulation

Full Papers
Paper Nr: 25
Title:

Discrimination between Social Groups: The Influence of Inclusiveness-Enhancing Mechanisms on Trade

Authors:

Stefano Bennati, Catholijn M. Jonker, Pradeep K. Murukannaiah, Rhythima Shinde and Tim Verwaart

Abstract: The bargaining power of prosumers in a market can vary significantly. Participants can range from industrial participants to powerful and less powerful citizens. Existing trade mechanisms in such markets, e.g., in rural India’s energy trade market, show occurrences of discrimination, exclusion, and unfairness. We study how discrimination affects market access, efficiency, and demand satisfaction for the discriminating and discriminated groups via an agent-based simulation, incorporating the available real data. We introduce a mechanism for such markets that is designed for the values of inclusion and equal opportunities. The crux of our mechanism is that goods are divided into smaller units, as determined by the market participants’ surplus and demands, and traded anonymously via agents representing the prosumers. We evaluate six hypotheses in a case study about energy trade in rural India, where members of a caste known as Dalits are discriminated by Others. We show that anonymization contributes to the value of inclusion, and the combination of anonymization and inclusion contributes to equal opportunities with respect to market access for both Dalits and Others.
Download

Paper Nr: 32
Title:

Towards the Formal Modeling Methodology of WSN through the Transformation of SysML into DSPNs

Authors:

Amel Berrachedi, Malika Ioualalen and Ahmed Hammad

Abstract: When developing critical and complex systems, the requirement of the systems design verification is paramount. We address the problem of how to design these ones in order to satisfy their requirements. Wireless Sensor Networks (WSNs) are examples of such systems, which consist of a large amount of distributed and autonomous nodes. We aim to propose a Model-Based Systems Engineering specification and verification methodology for designing WSNs. The proposed approach uses SysML language to describe the WSNs requirements, behaviors and performance parameters. Then, it translates the SysML elements to a Deterministic Stochastic Petri Net (DSPNs) and integrates them into an analytic model. This allows designing WSNs and studying their behaviors and their performances, namely energy consumption. The current paper refines the first part of this project by transforming the activity diagram of SysML to a DSPN. To show the applicability of the mapping technique, a case study that presents a hierarchical WSN is used.
Download

Paper Nr: 59
Title:

Use and Adequacy of Computer Paradigms to Simulate Bioinspired Synthetic Landscape Ecologies

Authors:

Jean Le Fur, Pape Adama Mboup and Moussa Sall

Abstract: In the field of ecoinformatics, synthetic ecologies approach intends to reproduce in silico the architecture and functioning of a real domain 'as it works'. When the systems to be represented are complex, bioinspiration is proposed as a relevant approach to develop robust modelling. This study aims to develop, using basic object-oriented paradigms, and in collaboration with biologists, a comprehensive synthetic ecology about a given application domain: wild rodents’ population dynamics. To address the complexity of the field, the architecture is gradually grown and shaped from integration of successive and diverse case studies modelling in the application domain. Developed for more than ten years, the same model has made it possible to represent historical, cellular and/or ecological processes at the scales of a country, a region, a city or a laboratory as well as a diversity of interacting living beings. Results present how principles such as composition, aggregation, inheritance, generalization have been used to elaborate a synthetic ecology. These paradigms altogether constitute a rich, and improvable, toolbox offering a varied set of possible uses to formalize bioinspired landscape or ecologies.
Download

Short Papers
Paper Nr: 37
Title:

Bottom-up Job Shop Scheduling with Swarm Intelligence in Large Production Plants

Authors:

M. Schranz, M. Umlauft and W. Elmenreich

Abstract: In production plants organized by the job shop principle, the factory-wide scheduling problem is NP-hard and can become extremely large. Traditional optimization methods like linear optimization reach their limits in these settings due to excessive computation time. Therefore, we propose this industrial setting as a novel field of application for swarm intelligence using bottom-up algorithms that do not require the infeasible calculation of an overall solution but depend only on local information. We consider the example of the semiconductor industry producing logic and power integrated circuits where a diverse range of highly specialized but low volume products are fabricated in the same plant. This paper shows how to select and model swarm members, swarms, and their interactions for use in real-world production plants. There are multiple possibilities for the modeling of the agents: a swarm member could be a single machine or a set of machines (workcenter), a product or group of products of the same/similar type, or a more abstract agent like a process. In particular, we consider criteria for selecting appropriate swarm members and potential candidate swarm algorithms inspired by hormones and ants.
Download

Paper Nr: 42
Title:

Urban Air Mobility (UAM): A Model Proposal based on Agents using Netlogo

Authors:

Felipe D. Ferrare, Derick M. Baum, Jorge D. Almeida Júnior, João B. Camargo Júnior and Paulo S. Cugnasca

Abstract: Netlogo is a tool for creating MAS (Multi-Agent Simulations), and it is used to create simulations for multiple areas and scenarios. With the advent of the use of manned and unmanned aerial vehicles, considering electric vehicles known as eVTOL (electric Vertical Take-Off and Landing), multiple problems in the urban environment appear. Also, as multiple vehicles are expected to be used to obtain urban mobility in dense metropolitan regions around the world, the concept of UAM (Urban Air Mobility) emerges as a way to assure environment air control. To not compromise the future of UAM, researchers were faced with the challenge of structuring the airspace with specific air traffic rules, with separations between vehicles lower than those currently applied, without reducing the aviation required safety levels. As testing in a real scenario is not practical, simulation is a form to gather data and define parameters for this new system. This work aims to present a computational tool that uses multiple agents to generate different UAM scenarios, being possible to analyse the impact that simulation input parameters variation will cause in the safety indicators proposed in the model.
Download

Paper Nr: 44
Title:

Concept Development and Evaluation of Order Assignment Strategies in a Highly-dynamic, Hybrid Pallet Storage and Retrieval System

Authors:

Giulia Siciliano and Johannes Fottner

Abstract: In this paper, we propose and evaluate various order assignment strategies for a new, highly-dynamic hybrid pallet storage and retrieval system or dynamic hybrid pallet warehouse (DHPW). The research gap we fill is the identification of the order assignment strategies, which guarantees the highest performance for this new warehouse system in different operational conditions. First, we present a brief description of the system under consideration. We then go on to present a brief literature review on order assignment strategies for stacker-crane-based AS/RSs and AVS/RSs. Next, we develop our concept of order assignment strategies for a DHPW with sequenced retrieval and storage, followed by a discrete event simulation and an evaluation of the concepts according to the level of performance they enable. Finally, we identify the operations of the process whose order assignment strategy has the greatest impact on performance, and suggest an optimum combination of order assignment strategies.
Download

Area 4 - Application Domains

Full Papers
Paper Nr: 10
Title:

Multi-mobile Robot and Avoidance Obstacle to Spatial Mapping in Indoor Environment

Authors:

Luis Piardi, José Lima and André Schneider de Oliveira

Abstract: The advancement of technology and techniques applied to robotics contributes to increasing the quality of life and safety of humanity. One of the most widespread applications of mobile robotics is related to monitoring indoor environments. However, due to factors such as the size of the environment impacting the monitoring response, battery autonomy, and autonomous navigation in environments with unknown obstacles, they are still significant challenges in the diffusion of mobile robotics in these areas. Strategy adopting multiple robots can overcome these challenges. This work presents an approach to use multi-robots in hazardous environments with gas leakage to perform spatial mapping of the gas concentration. Obstacles arranged in the environment are unknown to robots, then a fuzzy control approach is used to avoid the collision. As a result of this paper, spatial mapping of an indoor environment was carried out with multi-robots that reactively react to unknown obstacles considering a point gas leak with Gaussian dispersion.
Download

Paper Nr: 58
Title:

A System Dynamics Model Approach for Simulating Hyper-inflammation in Different COVID-19 Patient Scenarios

Authors:

Vladimir Estivill-Castro, Enrique Hernández-Jiménez and David F. Nettleton

Abstract: The exceptionally high virulence of COVID-19 and the patients’ precondition seem to constitute primary factors in how pro-inflammatory cytokines production evolves during the course of an infection. We present a System Dynamics Model approach for simulating the patient reaction using two key control parameters (i) virulence, which can be “moderate” or “high” and (ii) patient precondition, which can be “healthy”, “not so healthy” or “serious preconditions”. In particular, we study the behaviour of Inflammatory (M1) Alveolar Macrophages, IL6 and Active Adaptive Immune system as indicators of the immune system response, together with the COVID viral load over time. The results show that it is possible to build an initial model of the system to explore the behaviour of the key attributes involved in the patient condition, virulence and response. The model suggests aspects that need further study so that it can then assist in choosing the correct immunomodulatory treatment, for instance the regime of application of an Interleukin 6 (IL-6) inhibitor (tocilizumab) that corresponds to the projected immune status of the patients. We introduce machine learning techniques to corroborate aspects of the model and propose that a dynamic model and machine learning techniques could provide a decision support tool to ICU physicians.
Download

Paper Nr: 63
Title:

Development of a Simulation Environment for Automated Model Configuration for the Design and Validation of AI-based Driving Functions

Authors:

Or A. Yarom and Xiaobo Liu-Henke

Abstract: The further development of autonomous driving requires the increased use of innovative and intelligent algorithms. In order to develop these effectively and efficiently, suitable development methods and tools are required. Therefore, this paper presents the development of a simulation environment for automated model configuration for the design and validation of AI-based driving functions. Based on the current state of the art, the conception including requirement definition and realization of the simulation environment are described in detail. In addition, the simulation environment is validated in an application for automated vehicle guidance with Artificial Neural Networks.
Download

Short Papers
Paper Nr: 2
Title:

A System Dynamics Model of Land-use Change for Climate Change Adaptation: The Case of Uganda

Authors:

Isdore P. Guma, Agnes S. Rwashana and Benedict Oyo

Abstract: System dynamics models in land use change are useful tools for understanding the cause and effect of land use changes, assessing the impacts of land use systems on the environment, and supports land use planning and policy dimensions. Several studies have used different methods to examine the drivers of land-use change in understanding the interactions of land-use change as a result of human activities. However, much less work has been undertaken to model the future of a suite of ecosystem services in a holistic way. These studies have been conducted with minimum emphasis on the systemic structures or feedback processes of land-use decisions. A system dynamics model will be used to model ecosystem services to understand complex interactions using dynamic synthesis methodology. Questionnaires and interviews will be used for data collection. The study will explore viable policies for optimal land use to mitigate the degree of future climate change and risks. Projections of future resource requirements and environmental stress are alarming as a result of poorly planned economic development. Unless significant measures are taken to incorporate environmental concerns, the situation is likely to worsen in the future. Modeling complex natural-human systems remains an important research area.
Download

Paper Nr: 11
Title:

Dynamic Spectrum Access for RF-powered Ambient Backscatter Cognitive Radio Networks

Authors:

Ahmed Y. Zakariya, Sherif I. Rabia and Waheed K. Zahra

Abstract: In RF-powered backscatter cognitive radio networks, while the licensed channel is busy, the SU can utilize the primary user signal either to backscatter his data or to harvest energy. When the licensed channel becomes idle, the SU can use the harvested energy to actively transmit his data. However, it is crucial for the secondary user to determine the optimal action to do under the dynamic behavior of the primary users. In this paper, we formulate the decision problem as a Markov decision process in order to maximize the average throughput of the secondary user under the assumption of unknown environment parameters. A reinforcement learning algorithm is attributed to guide the secondary user in this decision process. Numerical results show that the reinforcement learning approach succeeds in providing a good approximation of the optimal value. Moreover, a comparison with the harvest-then-transmit and backscattering transmission modes is presented to investigate the superiority of the hybrid transmission mode in different network cases.
Download

Paper Nr: 12
Title:

AdvWarp: A Transformation Algorithm for Advanced Modeling of Gas Compressors and Drives

Authors:

Anton Baldin, Kläre Cassirer, Tanja Clees, Bernhard Klaassen, Igor Nikitin, Lialia Nikitina and Sabine Pott

Abstract: Solving transport network problems can be complicated by non-linear effects. In the particular case of gas transport networks, the most complex non-linear elements are compressors and their drives. They are described by a system of equations, composed of a piecewise linear ‘free’ model for the control logic and a non-linear ‘advanced’ model for calibrated characteristics of the compressor. For all element equations, certain stability criteria must be fulfilled, providing the absence of folds in associated system mapping. In this paper, we consider a transformation (warping) of a system from the space of calibration parameters to the space of transport variables, satisfying these criteria. The algorithm drastically improves stability of the network solver. Numerous tests on realistic networks show that nearly 100% convergence rate of the solver is achieved with this approach.
Download

Paper Nr: 24
Title:

Innovative Robot Design for Cleaning Solar Panels

Authors:

Arezki A. Chellal, José Lima, Ana I. Pereira and Paulo Costa

Abstract: The accumulation of dust particles on the solar panels decrease the total amount of solar energy received by the Photovoltaic panel (PV) and, it has also been proven that the increase of temperature reduces the overall efficiency. These effects have been studied by different researchers based on collected data comparison. As both of these parameters have a negative effect on the efficiency of the solar panel, it is essential to keep them clean and at low temperatures. The use of technologies, such as robots, is an effective way of carrying out repetitive tasks at low cost and in a short time. This work consists of developing a robot capable of cleaning and cooling the solar panels, based on images acquired through a camera positioned directly towards the panels, thus maintaining periodic cleaning in order to increase its efficiency. The preliminary results demonstrate the possibility of using this approach for the accomplishment of this task.
Download

Paper Nr: 27
Title:

Cooperative Spectrum Sharing Scheme for Enhancing Primary User Performance under Denial of Service Attack

Authors:

Ahmed N. Elbattrawy, Ahmed H. Abd El-Malek, Sherif I. Rabia and Waheed K. Zahra

Abstract: In this paper, we investigate the performance of the primary user (PU) in a cognitive radio network under denial of service (DoS) attack. A cooperation scheme between the PU and an energy-constrained secondary user (SU) is proposed to mitigate the DoS attack effect on the PU, meanwhile, efficiently utilize the spectrum by allowing the SU to access the PU’s spectrum in a hybrid underlay/overlay mode. Hence, a mutual benefit is achieved. To maintain its sustainability, the SU harvests energy from ambient sources. The location of the SU is optimized to maximize the PU performance. In addition, the PU sequential decision to cooperate with the SU or not is formulated as a multi-objective mixed-observable Markov decision process (MOMDP) to consider the performance of both the PU and the SU on the long run. Then, an optimal decision policy is obtained by solving the decision problem using a point-based value iteration (PBVI) algorithm with predetermined scalarization weights. The simulation results show the efficiency of the proposed scheme in enhancing the PU performance at different jamming levels.
Download

Paper Nr: 45
Title:

Integrating ROS and Gazebo Tools with a Network Security Module to Support Secure Autonomous Robot Coordination

Authors:

Mattia G. Spina, Stefano Gualtieri and Floriano De Rango

Abstract: Multi-robots system coordination is an important aspect to consider when complex task needs to be performed. Even if robots are becoming always more autonomous, the collective behaviour and coordination strategy can improve the overall performance in terms of execution time increasing the robustness of the mission. However, few works addressed the issue of the network security related to the coordination strategy and the current modelling and simulations tools are not ready to model security aspects that can affect the task execution and in some case can compromise the mission The following paper proposes the integration of some additional module on well-known tools such as ROS and GAZEBO in order to extend the modelling aspects also on emerging trends to support technicians to evaluate the coordination strategies also form the security point of view.
Download

Paper Nr: 55
Title:

Design of a Simulation Platform to Test the Suitability of Different PEM Electrolyzer Models to Implement Digital Replicas

Authors:

Francisco F. Gaspar, A. C. Godoy, Isaías G. Pérez, Manuel C. Godoy, José P. Calero and Diego O. Martín

Abstract: Green hydrogen is produced from renewable energies, being a promising integration in the field of microgrids. For a proper utilization, hydrogen generators, known as electrolyzers, must be studied and handled with a deep knowledge about their complex and non-linear behavior. In this sense, digital replicas (DR) are mainly based on mathematical models and constitute a merging paradigm envisioned to accurately represent the operation of physical systems within a simulated framework. This paper presents the development and initial implementation of a platform to simulate different models of proton exchange membrane electrolyzers aiming at evaluating their fitness and performance. The suite Matlab/Simulink has been applied including a Graphical User Interface to facilitate the interaction with the user. This tool is envisioned to contribute scientists to select and develop DR of such challenging equipment for tasks like performance analyses, prognostics and control purposes. The main features of the platform as well as preliminary results are reported.
Download

Paper Nr: 66
Title:

Changing of Spreading Dynamics for Infectious Diseases in an Aging Society: A Simulation Case Study on Flu Pandemic

Authors:

Ting-Yu Lin, Wei P. Goh, Hung-Jui Chang, Mei-Lien Pan, Shu-Chen Tsai, Da-Wei Wang and Tsan-Sheng Hsu

Abstract: In this paper, we report some initial results obtained from the agent-based simulation system SimTW about the changing of spreading dynamics, e.g. speed, magnitude and affected people of different ages, when the target society is aging. A disease model of influenza is built and then is invoked with two different social structures, e.g., population and household distribution, and working and schooling patterns based on Census 2000 and Census 2010 of Taiwan. In the 10 years time, the average population age in the country increases from 33.0 to 37.6 while the average household size decreases from 3.19 to 2.94. From the simulation results, we find that in the more aging year-2010 society, the pandemic, if occurred, is smaller, in terms of the total number of infected persons and slower in terms of the date of the peak number of daily new cases, but is more serious both in terms of the numbers of needed hospital beds and death cases. Using this finding, we hope to motivate further discussions on adapting public health policies to this inevitable global trend of aging.
Download

Paper Nr: 30
Title:

EPredictor: An Experimental Platform for Community Evolution Prediction Tests

Authors:

Narimene Dakiche, Fatima Benbouzid-Si Tayeb, Karima Benatchba, Yahya Slimani, Abdelouahab Khelifati and Hadjer Chabane

Abstract: This paper presents “EPredictor” an experimental platform which enables testing, verifying and validating models related to community evolution prediction in dynamic social networks. Community evolution prediction is one of the most interesting issues in the field of social network analysis. It is usually handled by following four main steps: (1) split the network into timeframes; (2) detect communities in each timeframe; (3) track their evolutionary behavior and (4) build a predictive model to forecast the future events. The main objective of EPredictor is to provide a flexible environment that handles the entire process of community evolution prediction with a rich set of literature methods for each step; thus enabling researchers to make valuable comparisons and consistent analysis.
Download