Showing papers in "Simulation Modelling Practice and Theory in 2015"

TL;DR: A comparative study on the most popular machine learning methods applied to the challenging problem of customer churning prediction in the telecommunications industry demonstrates clear superiority of the boosted versions of the models against the plain (non-boosted) versions.

TL;DR: An innovative two-step methodology able to convert a historic BIM into a finite element model for structural simulation is presented and a real case study is illustrated and discussed to prove that a rigorous Cloud-to-BIM- to-FEM workflow allows the generation of an accuratehistoric BIM from a set of laser scanning point clouds.

TL;DR: Evaluating the system behavior of an electrical manufacturing company as a case of study is evaluated by using System Dynamics (SD) simulating of Closed-loop Supply Chain (CLSC) by using VENSIM PLE software, which developed the simulation model.

TL;DR: A discrete event simulation (DES) model combined with suitable metamodels is developed as a novel decision support system to improve the patients flow and relieve congestion by changing the number of ED resources.

TL;DR: The analysis shows that the application and its running states migration time is affected by the changes in the network conditions, and recommends application execution framework designers to incorporate the network-centric parameters along with other parameters in the decision process of the application migration.

TL;DR: The value of the simulation optimization approach for practical applications is demonstrated and directions for future research on the stochastic hybrid flow shop scheduling problem are provided.

TL;DR: A new IaaS simulation framework, called DISSECT-CF, which introduces concepts such as a unified model for resource sharing and a new energy metering framework with hierarchical and indirect metering options to enable fast evaluation of many scheduling and IAAS internal behaviour related scenarios.

TL;DR: A novel cloudlet-based efficient data collection system in WBANs is presented and it is shown that the average power consumption and delay of the collected data is tremendously decreased by increasing the number of VMs and VCs.

TL;DR: Investigation of the influence of material constitutive parameters on the serrated chip formation during high speed machining (HSM) of Ti6Al4V alloys with finite element simulations and cutting experiments finds that the influences of initial yield stress and thermal softening coefficient parameters are much more prominent on the chip serration and bending.

TL;DR: The one-shot VF metamodeling process is transformed into an iterative process to utilize the already-acquired information of difference characteristics between the HF and LF models, and several numerical cases and a long cylinder pressure vessel optimization design problem verify the applicability of the proposed VF meetings.

TL;DR: The use of Monte Carlo simulation, along with simulation optimization techniques, are investigated for obtaining the optimal design of HRES in uncertain environments to achieve minimum expected total cost, while satisfying the power demand.

TL;DR: A pertinent way for aging lead–acid batteries connected to a stand-alone multi-source renewable system has been developed based on the Rain Flow method for counting cycles and considers instantaneous DOD and average temperature.

TL;DR: A three dimensional machining model using Lagrangian approach has been developed using DEFORM 3D and it is found that simulation results are in good agreement with experimental results.

TL;DR: The results show that distinct approaches provide similar results regarding the sensitivity ranking, with specific exceptions, and a combined evaluation indicates that system availability may be improved effectively by focusing on a reduced set of factors that produce large variation on the measure of interest.

TL;DR: A novel approach for initializing the spherical K-means algorithm is proposed, based on calculating well distributed seeds across the input space, and a new measure for calculating vectors’ directional variance is formulated, to be used as a measure of clusters’ compactness.

TL;DR: Several quantitative relationships are established describing interactions between pedestrians crossing outside of crosswalks and approaching drivers, which provide the basis and assumptions for modeling such interactions in a micro-simulation environment for traffic operational analyses.

TL;DR: Carbide cutting tools is a better option as compared to uncoated cemented carbide cutting tool for machining AISI 1045 steel as it results in lower cutting forces and temperatures.

TL;DR: This study shows that, when used carefully, the adaptive mass scaling constitutes an efficient method to reduce the CPU computation time and should be considered for the development of future models.

TL;DR: This work presents the Hierarchical Control Conceptual Modeling framework, a framework that pays more attention to the identification of a models’ system behavior, control policies and dispatching routines and their structured representation within a conceptual model.

TL;DR: This paper thoroughly investigates the main MSA issues in three domains of mobile computing, cloud computing, and MCC to present a taxonomy and examines several credible MSA approaches and mechanisms in MCC, classifies characteristics of cloud-based storage resources, and presents open issues that direct future research.

TL;DR: To understand and apply better the state-of-the-art of Cloud computing simulators, and to improve them, four known open-source simulators are studied.

TL;DR: This paper proposes an architecture for a cloud-based urban systems simulation platform which specifically aims at making large-scale simulations available to typical users and addresses the issue of data confidentiality.

TL;DR: Simulation results show that the use of meta-heuristic optimization algorithms in the scheduling of bag-of-tasks applications in a heterogeneous cloud of clouds can provide significant benefits in costs and performance.

TL;DR: Results show that the evacuation with a priority order from lower floors to upper floors can effectively decrease the congestion on the stairs caused by the aged people, and achieve a faster evacuation rate during most of the evacuation process, although the total evacuation time increases a little.

TL;DR: A new technique for model checking the logic of knowledge and commitments (CTLKC+) is presented and it is proved that the complexity of the proposed approach is P-complete with regard to the size of the model and length of the formula, which makes it efficient.

TL;DR: This paper proposes a method to assimilate real time sensor data in agent-based simulation of smart environments based on Particle Filters (PFs) and develops a PF-based data assimilation framework and proposes a new resampling method named as component set resamplings to improve data Assimilation for multiple agents.

TL;DR: A numerical simulator capable of reproducing the complete blasting response in rock mass by incorporating large deformations, damage distribution and blasting vibration with a single numerical model is provided.

TL;DR: Experimental results show that the time-stepped load balancing algorithm outperforms the classical EDF approach in terms of saving processor resources, and the jitter is about 4 times less when 90 entities are employed in a typical tank combat simulation scenario.

TL;DR: A resilient content delivery service based on a publish/subscribe overlay over diversified cloud storage that lowers the overhead of the content dispersion and retrieving processes by taking advantage of multi-core technology.

TL;DR: An event based simulation is developed using Simu8 software in order to analyse the current system’s performance and its response to delays, and a number of potential delay mitigation tactics are introduced and evaluated to assess their potential worth in mitigating delays that may arise within the system.