Proceedings of the 31st European Modeling & Simulation Symposium, EMSS

Table of Contents

Representation of a convolutional neuronal network as a high level paralel composition applied to the recognition of DNA sequences

  • Rossainz-López M., 
  • Zúñiga-Herrera S., 
  • Capel-Tuñón M., 
  • Pineda-Torres I.
Proceedings of the 31st European Modeling & Simulation Symposium (EMSS 2019), pp. 1-8.
DOI: https://doi.org/10.46354/i3m.2019.emss.001

Knowledge based modelling framework for flexible manufacturing system

  • Shafiq S. I.,
  • Sanin C.,
  • Szczerbicki E.
Proceedings of the 31st European Modeling & Simulation Symposium (EMSS 2019), pp. 9-15.
DOI: https://doi.org/10.46354/i3m.2019.emss.002

Hybrid simulation model supporting efficient computations within rail traffic simulations

  • Novotný R., 
  • Kavička A.
Proceedings of the 31st European Modeling & Simulation Symposium (EMSS 2019), pp. 16-22.
DOI: https://doi.org/10.46354/i3m.2019.emss.003

A 0-D model to predict the relationship between resistance and compliance in pulmonary arterial hypertension

  • De Lazzari C.,
  • Marconi S.,
  • Capoccia M.,
  • Papa S.,
  • Badagliacca R.,
  • Vizza C.D.
Proceedings of the 31st European Modeling & Simulation Symposium (EMSS 2019), pp. 23-28.
DOI: https://doi.org/10.46354/i3m.2019.emss.004

Quickest change-point detection in time series with unknown distributions

  • Pergamenshchikov S.M.,
  • Tartakovsky A.G.
Proceedings of the 31st European Modeling & Simulation Symposium (EMSS 2019), pp. 29-33.
DOI: https://doi.org/10.46354/i3m.2019.emss.005

Simulation of the spectral characteristics of the photosensitive elements based on the polycrystalline lead sulfide

  • Miroshnikov B.N.,
  • Zezin D.A.,
  • Makarov A.A.,
  • Faulgabe A.N.
Proceedings of the 31st European Modeling & Simulation Symposium (EMSS 2019), pp. 34-37.
DOI: https://doi.org/10.46354/i3m.2019.emss.006

The simulation of the time characteristics of the photoresistive structures based on the cadmium lead sulfides

  • Miroshnikova I.N.,
  • Miroshnikov B.N.,
  • Zenova E.V.,
  • Presnjakov M.Y.,
  • Makarov A.A.
Proceedings of the 31st European Modeling & Simulation Symposium (EMSS 2019), pp. 38-41.
DOI: https://doi.org/10.46354/i3m.2019.emss.007

Property control methods of diamond-like silicon-carbon films for micro- and nanoelectronics

  • Barinov A.D.,
  • Popov A.I.,
  • Makarov A.A.
Proceedings of the 31st European Modeling & Simulation Symposium (EMSS 2019), pp. 42-46.
DOI: https://doi.org/10.46354/i3m.2019.emss.008

Influence of emergency lay-bys on smoke stratification in case of fire in bi-directional tunnel: parallel simulation

  • Weisenpacher P.,
  • Valasek L.,
  • Glasa J.
Proceedings of the 31st European Modeling & Simulation Symposium (EMSS 2019), pp. 42-53.
DOI: https://doi.org/10.46354/i3m.2019.emss.009

The hardware implementation of the multi-position signal digital demodulators

  • Chernoyarov O.V.,
  • Glushkov A.N.,
  • Litvinenko V.P.,
  • Faulgaber A.N.,
  • Salnikova A.V.
Proceedings of the 31st European Modeling & Simulation Symposium (EMSS 2019), pp. 54-58.
DOI: https://doi.org/10.46354/i3m.2019.emss.010

Modeling of service correlation for service composition in cloud manufacturing

  • Wang F.,
  • Laili Y.,
  • Zhang L.,
  • Xing C.,
  • Guo L.
Proceedings of the 31st European Modeling & Simulation Symposium (EMSS 2019), pp. 59-65.
DOI: https://doi.org/10.46354/i3m.2019.emss.011

Analysis of a university parking lot system through the use of discrete-event simulation

  • Torres R.,
  • Nosedal-Sanchez J.
Proceedings of the 31st European Modeling & Simulation Symposium (EMSS 2019), pp. 66-74.
DOI: https://doi.org/10.46354/i3m.2019.emss.012

On estimation errors when dealing with the problems of optical telecommunications

  • Chernoyarov O.V.,
  • Kutoyants Y.A.,
  • Zyulkov A.V.
Proceedings of the 31st European Modeling & Simulation Symposium (EMSS 2019), pp. 75-79.
DOI: https://doi.org/10.46354/i3m.2019.emss.013

Computational optimizations of nested simulations utilized for decision-making support

  • Diviš R.,
  • Kavička A.
Proceedings of the 31st European Modeling & Simulation Symposium (EMSS 2019), pp. 80-89.
DOI: https://doi.org/10.46354/i3m.2019.emss.014

Model selection method for efficient signals processing from discrete data

  • Pchelintsev E.A.,
  • Pergamenshchikov S.M.
Proceedings of the 31st European Modeling & Simulation Symposium (EMSS 2019), pp. 90-95.
DOI: https://doi.org/10.46354/i3m.2019.emss.015

Software frameworks for artificial intelligence: comparsion of low-level and high-level approaches

  • Bogner M.,
  • Weindl F.,
  • Wiesinger F.
Proceedings of the 31st European Modeling & Simulation Symposium (EMSS 2019), pp. 96-102.
DOI: https://doi.org/10.46354/i3m.2019.emss.016

Artificial intelligence: concept overview, methodological approaches and choice metrics

  • Bogner M.,
  • Steiger M.,
  • Wiesinger F.
Proceedings of the 31st European Modeling & Simulation Symposium (EMSS 2019), pp. 103-110.
DOI: https://doi.org/10.46354/i3m.2019.emss.017

Grasp laparoscopic surgery basic skills: a highly interactive online course model here

  • Frascio M.,
  • Siri A.,
  • Mandolfino F.,
  • Chirico M.,
  • Vercelli G.
Proceedings of the 31st European Modeling & Simulation Symposium (EMSS 2019), pp. 111-118.
DOI: https://doi.org/10.46354/i3m.2019.emss.018

Optical quality control using deep learning

  • Wiesinger F.,
  • Klepatsch D.,
  • Bogner M.
Proceedings of the 31st European Modeling & Simulation Symposium (EMSS 2019), pp. 119-127.
DOI: https://doi.org/10.46354/i3m.2019.emss.019

Proactive demand and capacity management for automotive logistics using an efficient information model

  • Temur L.,
  • Fruhner D.,
  • Klingebiel K.
Proceedings of the 31st European Modeling & Simulation Symposium (EMSS 2019), pp. 128-137.
DOI: https://doi.org/10.46354/i3m.2019.emss.020

Closed-Loop-Engineering – enabler for swift reconfiguration in plant engineering

  • Bender J.,
  • Deckers J.,
  • Fritz S.,
  • Ovtcharova J.
Proceedings of the 31st European Modeling & Simulation Symposium (EMSS 2019), pp. 138-144.
DOI: https://doi.org/10.46354/i3m.2019.emss.021

Complex network analysis: Mexico's City metro system

  • Shirai Reyna O. S.,
  • Flores de la Mota I.
Proceedings of the 31st European Modeling & Simulation Symposium (EMSS 2019), pp. 145-153.
DOI: https://doi.org/10.46354/i3m.2019.emss.022

Complexity analysis of the future car for automotive logistics

  • Pawlikowski K.,
  • Toth M.
Proceedings of the 31st European Modeling & Simulation Symposium (EMSS 2019), pp. 154-161.
DOI: https://doi.org/10.46354/i3m.2019.emss.023

Demand forecasting in an automotive company: an artificial neural network approach

  • Tebaldi L.,
  • Pindari S.,
  • Bottani E.
Proceedings of the 31st European Modeling & Simulation Symposium (EMSS 2019), pp. 162-167.
DOI: https://doi.org/10.46354/i3m.2019.emss.024

Investigating the influence of fixed assignment of platform tracks to trains on the resulting station capacity using simulation

  • Bažant M.,
  • Bulíček J.,
  • Veselý P.
Proceedings of the 31st European Modeling & Simulation Symposium (EMSS 2019), pp. 168-173.
DOI: https://doi.org/10.46354/i3m.2019.emss.025

Combining simulation and optimization models on a production line problem: A case study

  • Vieira A.A.C.,
  • Guilherme E.,
  • Oliveira J.A.,
  • Dias L.M.S.,
  • Pereira G.A.B.
Proceedings of the 31st European Modeling & Simulation Symposium (EMSS 2019), pp. 174-181.
DOI: https://doi.org/10.46354/i3m.2019.emss.026

A novel application of pre-signals to improve the performance of signalized intersections: evaluation through simulation

  • Vieira A.A.C.,
  • Dias L.M.S.,
  • Pereira G.A.B.,
  • Oliveira J.A.
Proceedings of the 31st European Modeling & Simulation Symposium (EMSS 2019), pp. 182-190.
DOI: https://doi.org/10.46354/i3m.2019.emss.027

Simulation of the delivery system for the Bicipuma bike-sharing system in UNAM-Mexico

  • Garcia Cerrud C.,
  • Perez Silva A.M.,
  • Olvera Rodriguez V.,
  • Soler Anguiano F.I.,
  • Flores de la Mota I.
Proceedings of the 31st European Modeling & Simulation Symposium (EMSS 2019), pp. 191-199.
DOI: https://doi.org/10.46354/i3m.2019.emss.028

A ranking of the most known freeware and open source discrete-event simulation tools

  • Vieira A.A.C.,
  • Dias L.M.S.,
  • Santos M.Y.,
  • Pereira G.A.B.,
  • Oliveira J.A.
Proceedings of the 31st European Modeling & Simulation Symposium (EMSS 2019), pp. 200-209.
DOI: https://doi.org/10.46354/i3m.2019.emss.029

Households income-expenses network simulation

  • Lara de Paz J.,
  • Flores de la Mota I.,
  • Policroniades Chipuli G.,
  • Shirai Reyna O. S.
Proceedings of the 31st European Modeling & Simulation Symposium (EMSS 2019), pp. 210-217.
DOI: https://doi.org/10.46354/i3m.2019.emss.030

Fast approximations by machine learning: predicting the energy of dimers using convolutional neural networks

  • Hennessey D.,
  • Klobukowski M.,
  • Lu P.
Proceedings of the 31st European Modeling & Simulation Symposium (EMSS 2019), pp. 218-225.
DOI: https://doi.org/10.46354/i3m.2019.emss.031

Sustainable technologies for health education in Low and Middle Income Countries

  • Ferrara E.,
  • Dellepiane S.,
  • Frascio M.
Proceedings of the 31st European Modeling & Simulation Symposium (EMSS 2019), pp. 226-230.
DOI: https://doi.org/10.46354/i3m.2019.emss.032

Simulation improves efficiency and quality in shoe manufacturing

  • Hassan M.M.,
  • Kalamraju S.P.,
  • Dangeti S.,
  • Pudipeddi S.,
  • Williams E.J.
Proceedings of the 31st European Modeling & Simulation Symposium (EMSS 2019), pp. 231-236.
DOI: https://doi.org/10.46354/i3m.2019.emss.033

Models of terahertz and infrared devices based on graphene/black-AsP heterostructures

  • Ryzhii M.,
  • Otsuji T.,
  • Ryzhii V.,
  • Leiman V.,
  • Mitin V.,
  • Shur M.S.
Proceedings of the 31st European Modeling & Simulation Symposium (EMSS 2019), pp. 237-240.
DOI: https://doi.org/10.46354/i3m.2019.emss.034

Multi-objective optimization for a scheduling problem in the steel industry

  • Hauder V.A.,
  • Beham A.,
  • Raggl S.,
  • Affenzeller M.
Proceedings of the 31st European Modeling & Simulation Symposium (EMSS 2019), pp. 241-245.
DOI: https://doi.org/10.46354/i3m.2019.emss.035

Modeling for component relations in robotic disassembly

  • Li X.,
  • Laili Y.,
  • Zhang L.,
  • Ren L.
Proceedings of the 31st European Modeling & Simulation Symposium (EMSS 2019), pp. 246-253.
DOI: https://doi.org/10.46354/i3m.2019.emss.036

A new solution encoding for simulation-based multi-objective workforce qualification optimization

  • Karder J.,
  • Hauder V.A.,
  • Beham A.,
  • Altendorfer K.,
  • Affenzeller M.
Proceedings of the 31st European Modeling & Simulation Symposium (EMSS 2019), pp. 254-261.
DOI: https://doi.org/10.46354/i3m.2019.emss.037

A simulation model for estimating human error probability

  • Angelopoulou A.,
  • Mykoniatis K.,
  • Boyapati N.R.
Proceedings of the 31st European Modeling & Simulation Symposium (EMSS 2019), pp. 262-267.
DOI: https://doi.org/10.46354/i3m.2019.emss.038

Simulation of baggage delivery management for an increase in demand in a Mexican airport

  • Brambila Loza K.E.,
  • Wellens A.G.,
  • Pérez Juárez S.K.
Proceedings of the 31st European Modeling & Simulation Symposium (EMSS 2019), pp. 268-275.
DOI: https://doi.org/10.46354/i3m.2019.emss.039

Neither push nor pull: state-feedback control for production systems

  • Mušič G.,
  • Sagawa J.K.
Proceedings of the 31st European Modeling & Simulation Symposium (EMSS 2019), pp. 276-283.
DOI: https://doi.org/10.46354/i3m.2019.emss.040

A simulator for studying automated block trading on a coupled dark/lit financial exchange with reputation tracking

  • Church G.,
  • Cliff D.
Proceedings of the 31st European Modeling & Simulation Symposium (EMSS 2019), pp. 284-293.
DOI: https://doi.org/10.46354/i3m.2019.emss.041

A cloud-native globally distributed financial exchange simulator for studying real-world trading-latency issues at planetary scale

  • Miles B.,
  • Cliff D.
Proceedings of the 31st European Modeling & Simulation Symposium (EMSS 2019), pp. 294-303.
DOI: https://doi.org/10.46354/i3m.2019.emss.042

Selecting an optimal computer software to design microwave-bandwidth optoelectronic devices of a fiber-optics link

  • Belkin M.E.,
  • Bakhvalova T.,
  • Golovin V.,
  • Tyschuk Y.,
  • Sigov A.S.
Proceedings of the 31st European Modeling & Simulation Symposium (EMSS 2019), pp. 304-310.
DOI: https://doi.org/10.46354/i3m.2019.emss.043

Mixed Discrete-Events and Agent-Based Modeling of a complex automatic warehouse for copper tubes bundles

  • Braglia M.,
  • Frosolini M.,
  • Gabbrielli R.,
  • Marrazzini L.,
  • Padellini L.
Proceedings of the 31st European Modeling & Simulation Symposium (EMSS 2019), pp. 311-316.
DOI: https://doi.org/10.46354/i3m.2019.emss.044

Modelling and simulation tools for integrating forward and reverse logistics: a literature review

  • Agnusdei G.P.,
  • Elia V.,
  • Gnoni M.G.,
  • Tornese F.
Proceedings of the 31st European Modeling & Simulation Symposium (EMSS 2019), pp. 317-326.
DOI: https://doi.org/10.46354/i3m.2019.emss.045

Towards more efficient multiclass AUC computations

  • Dreiseitl S.
Proceedings of the 31st European Modeling & Simulation Symposium (EMSS 2019), pp. 327-331.
DOI: https://doi.org/10.46354/i3m.2019.emss.046

Evaluation of a Self-Organizing Migrating Algorithm applied to discrete event simulation optimization

  • Raska P.,
  • Ulrych Z.
Proceedings of the 31st European Modeling & Simulation Symposium (EMSS 2019), pp. 332-341.
DOI: https://doi.org/10.46354/i3m.2019.emss.047

VRP complex network analysis and simulation

  • Policroniades Chípuli G.,
  • Flores de la Mota I.,
  • Lara de Paz J.,
  • Shirai Reyna O. S.
Proceedings of the 31st European Modeling & Simulation Symposium (EMSS 2019), pp. 342-351.
DOI: https://doi.org/10.46354/i3m.2019.emss.048

Utilization of computer simulation for detection non-standard situations within single-track lines

  • Fikejz J.,
  • Merta J.
Proceedings of the 31st European Modeling & Simulation Symposium (EMSS 2019), pp. 352-358.
DOI: https://doi.org/10.46354/i3m.2019.emss.049

Utilization of computer simulation for solution of food-control resevoir protection function

  • Fikejz J.,
  • Roušar L.,
  • Zachoval T.
Proceedings of the 31st European Modeling & Simulation Symposium (EMSS 2019), pp. 359-363.
DOI: https://doi.org/10.46354/i3m.2019.emss.050

Estimates of unknown transformation parameters in terrestrial measurements: one simulated problem

  • Nedvědová M.,
  • Marek J.,
  • Chmelař P.
Proceedings of the 31st European Modeling & Simulation Symposium (EMSS 2019), pp. 364-370.
DOI: https://doi.org/10.46354/i3m.2019.emss.051

Comparative computer-aided design of millimeter-wave-to-optical converters for fifth-generation communication network

  • Belkin M.,
  • Bakhvalova T.,
  • Sigov A.S.
Proceedings of the 31st European Modeling & Simulation Symposium (EMSS 2019), pp. 371-374.
DOI: https://doi.org/10.46354/i3m.2019.emss.052

Modelling of the ground connection between two airports in a multi-airport system: case Santa Lucia - Mexico City

  • Mujica Mota M.,
  • Scala P.,
  • Spit D.,
  • Tasdelen R.
Proceedings of the 31st European Modeling & Simulation Symposium (EMSS 2019), pp. 375-383.
DOI: https://doi.org/10.46354/i3m.2019.emss.053

Improving data consistency in Industry 4.0: an application of digital lean to the maintenance record process

  • Longo F.,
  • Nicoletti L.,
  • Padovano A.,
  • Bruzzone A.G.,
  • Mirabelli G.,
  • Solis A.O.,
  • Fusto C.,
  • Frangella J.,
  • Gazzaneo L.
Proceedings of the 31st European Modeling & Simulation Symposium (EMSS 2019), pp. 384-389.
DOI: https://doi.org/10.46354/i3m.2019.emss.054

Machine Learning to support Industrial Digitalization and Business Transformation

  • Bruzzone A.G.,
  • Massei M.,
  • Sinelshchikov K.,
  • Fabbrini G.,
  • Gotelli M.,
  • Molinari A.
Proceedings of the 31st European Modeling & Simulation Symposium (EMSS 2019), pp. 390-393.
DOI: https://doi.org/10.46354/i3m.2019.emss.055