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Ship-course modeling and control using the SIMSCAPE physical modeling environment Simulation (IF 1.09) Pub Date : 2020-12-15 Javier Fernandez de Canete; Jesus Martin-Aguilar
Simulation is an important tool for evaluating the design of a ship-course control system. The object-oriented modeling supports the physical modeling of a multi-domain dynamical system by using a hierarchical acausal structure, as compared to block diagrams or differential equation-based causal structures. In this paper we describe the use of the SIMSCAPE simulation environment for the physical modeling-based
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Nested active learning for efficient model contextualization and parameterization: pathway to generating simulated populations using multi-scale computational models Simulation (IF 1.09) Pub Date : 2020-12-14 Chase Cockrell; Jonathan Ozik; Nick Collier; Gary An
There is increasing interest in the use of mechanism-based multi-scale computational models (such as agent-based models (ABMs)) to generate simulated clinical populations in order to discover and evaluate potential diagnostic and therapeutic modalities. The description of the environment in which a biomedical simulation operates (model context) and parameterization of internal model rules (model content)
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Three-dimensional finite element analysis comparative model of tooth–implant nonrigid fixation Simulation (IF 1.09) Pub Date : 2020-12-10 Tigran A Muradyan; Nshan A Muradyan; Sergey V Verlinski; Anna Yu Poghosyan
Connecting implants with teeth is sometimes considered for the support of prostheses in partial edentulism, especially in periodontally compromised and surgical treated patients. The aim of this study is the presentation of a model of tooth–implant nonrigid fixation in comparison with implant–implant and implant–tooth rigid fixation by three-dimensional (3D) finite element analysis. As a model, a situation
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Modeling and simulation of autonomous quadrotor systems and their onboard sensors Simulation (IF 1.09) Pub Date : 2020-12-08 Christian Micklisch; Nathan Hilliard; Hala ElAarag
Simulators are valuable tools to evaluate autonomous systems and methods of their control in a cost-effective and safe fashion. There are several implementations of simulators for autonomous systems in the literature. However, they provide limited capabilities in terms of the simulation of specific autonomous methods, for example control, flight, or sensor dynamics. In this paper, we present our design
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A simheuristic approach for the flexible job shop scheduling problem with stochastic processing times Simulation (IF 1.09) Pub Date : 2020-11-04 Rylan H Caldeira; A Gnanavelbabu
In this work, we address the flexible job shop scheduling problem (FJSSP), which is a classification of the well-known job shop scheduling problem. This problem can be encountered in real-life applications such as automobile assembly, aeronautical, textile, and semiconductor manufacturing industries. To represent inherent uncertainties in the production process, we consider stochastic flexible job
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Fostering human–robot cooperative architectures for search and rescue missions in urban fires Simulation (IF 1.09) Pub Date : 2020-11-03 Micael S Couceiro; David Portugal; Rui P Rocha; André Araújo
Urban fires are probably the most frequent catastrophic incidents in urban areas, requiring a prompt response due to life endangerment in highly populated zones and the high risk of fire propagation to buildings and parked cars in the vicinity. Robot assistance has been identified as a valuable resource for such urban search and rescue (USAR) scenarios by taking advantage of robots’ expendability.
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Modeling and analysis of business process reengineering strategies for improving emergency department efficiency Simulation (IF 1.09) Pub Date : 2020-10-08 Sharan Srinivas; Roland Paul Nazareth; Md Shoriat Ullah
Emergency departments (ED) in the USA treat 136.9 million cases annually and account for nearly half of all medical care delivered. Due to high demand and limited resource (such as doctors and beds) availability, the median waiting time for ED patients is around 90 minutes. This research is motivated by a real-life case study of an ED located in central Missouri, USA, which faces the problem of congestion
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Model builder for diagnosis and simulation of hybrid dynamic systems: Application to railway rolling stock Simulation (IF 1.09) Pub Date : 2020-10-08 B Six; B Ould-Bouamama; A L Gehin
This paper deals with a model builder for Hybrid Dynamic Systems (HDS), where technological components including sensors in an iconic format can be automatically dragged from a database and interconnected to produce the overall HDS, following industrial technological schemes. Once the model has been created, its consistency can be checked, and a block diagram simulation can be performed. The theory
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Numerical simulation of the fire emergency evacuation for a metro platform accident Simulation (IF 1.09) Pub Date : 2020-10-02 Jiabin Xie; Kecheng Chen; Trevor Hocksun Kwan; Qinghe Yao
A coupled analysis of agent behavior and Computational Fluid Dynamics (CFD) model is applied to investigate the fire evacuation effectiveness in a popular metro station in Guangzhou, China. Due to the high density and complexity of traffic, the concept of Required Safe Escape Time and Available Safe Escape Time (RSET/ASET), which is more flexible and adaptable than the “6 minutes” principle, is applied
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Sequential probability ratio tests: conservative and robust Simulation (IF 1.09) Pub Date : 2020-09-30 Jack PC Kleijnen; Wen Shi
Because computers (except for parallel computers) generate simulation outputs sequentially, we recommend sequential probability ratio tests (SPRTs) for the statistical analysis of these outputs. However, until now simulation analysts have ignored SPRTs. To change this situation, we review SPRTs for the simplest case; namely, the case of choosing between two hypothesized values for the mean simulation
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A DEVS-based pivotal modeling formalism and its verification and validation framework Simulation (IF 1.09) Pub Date : 2020-09-26 Kehinde G. Samuel; Nourou-Dine M. Bouare; Oumar Maïga; Mamadou K. Traoré
System verification is an ever-lasting system engineering challenge. The increasing complexity in system simulation requires some level of expertise in handling the idioms of logic and discrete mathematics to correctly drive a full verification process. It is recognized that visual modeling can help to fill the knowledge gap between system experts and analysis experts. However, such an approach has
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The computer simulation of cellular automata traffic model with the consideration of vehicle-to-infrastructure communication technology Simulation (IF 1.09) Pub Date : 2020-09-23 Krzysztof Małecki; Maciej Gabryś
Based on the two-lane, symmetric traffic model (STCA), a modified traffic model, including Vehicle-to-Infrastructure (V2I) communication (STCA V2I model, for short), is presented. The combined full-autonomous and semi-autonomous vehicles are able to exchange information as well as the intentions of the driver with the surrounding vehicles through V2I communication. In the analyzed case, the communication
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802.11 wireless simulation and anomaly detection using HMM and UBM Simulation (IF 1.09) Pub Date : 2020-09-22 Anisa Allahdadi; Ricardo Morla; Jaime S Cardoso
Despite the growing popularity of 802.11 wireless networks, users often suffer from connectivity problems and performance issues due to unstable radio conditions and dynamic user behavior, among other reasons. Anomaly detection and distinction are in the thick of major challenges that network managers encounter. The difficulty of monitoring broad and complex Wireless Local Area Networks, that often
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Explicit analysis using time-dependent damping simulation of one-sided laser shock peening on martensitic steel turbine blades Simulation (IF 1.09) Pub Date : 2020-09-10 Festus Fameso; Dawood Desai
Down-times from the in-service failure of power plant components, such as turbine blades, portend dire impacts and consequences in the form of huge financial losses. The susceptibility of steam turbine blades to failure is now being reduced by a novel technique, laser shock peening (LSP), which induces compressive layers through the surface of the blades. Current simulation studies of LSP employing
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Brain tumor diagnosis based on discrete wavelet transform, gray-level co-occurrence matrix, and optimal deep belief network Simulation (IF 1.09) Pub Date : 2020-08-21 Li Xu; Qi Gao; Nasser Yousefi
Brain tumors are a group of cancers that originate from different cells of the central nervous system or cancers of other tissues in the brain. Excessive cell growth in the brain is called a tumor. Tumor cells need food and blood to survive. Growth and proliferation of tumor cells in the cranial space, cause strain inside the brain and thus disrupt vital human structures. Therefore, diagnosis in the
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DEv-PROMELA: modeling, verification, and validation of a video game by combining model-checking and simulation Simulation (IF 1.09) Pub Date : 2020-08-17 Aznam Yacoub; Maamar El Amine Hamri; Claudia Frydman
Modeling, verifying, and validating are essential steps in order to build systems and software that do what designers expect. If formal verification, and especially model-checking, is a popular method for proving the correctness of properties, its efficiency depends on the accuracy of the used models and the quality of abstractions. As a consequence, applying verification techniques on large-scale
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Simulation of three-dimensional female body shapes with proportional representation for various weights and heights Simulation (IF 1.09) Pub Date : 2020-08-10 Chanjira Sinthanayothin; Wisarut Bholsithi; Duangrat Gansawat; Nonlapas Wongwaen; Piyanut Xuto; Nantaporn Ratisoontorn; Parut Bunporn; Supiya Charoensiriwath
Obesity is a significant factor in health information and increases the risk of health problems. Hence, an application that can help users to monitor their body mass index (BMI) timelines is needed. The simulation of a personalized 3D body shape may encourage women to control their BMI for a healthy body and pleasant appearance. Therefore, this paper aims to develop computerized 3D models of female
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Simulation-based optimization methods applied in hospital emergency departments: A systematic review Simulation (IF 1.09) Pub Date : 2020-08-05 Milad Yousefi; Moslem Yousefi; Flavio S Fogliatto
Since high performance is essential to the functioning of emergency departments (EDs), they must constantly pursue sensible and empirically testable improvements. In light of recent advances in computer science, an increasing number of simulation-based approaches for studying and implementing ED performance optimizations have become available in the literature. This paper aims to offer a survey of
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Precise evaluation method for the stability analysis of multi-scale slopes Simulation (IF 1.09) Pub Date : 2020-08-03 Xiangjie Yin; Hang Lin; Yifan Chen; Yixian Wang; Yanlin Zhao
Slope stability analysis is a multi-scale problem. Typically, owing to the distinctions of slope scales (e.g., slope height or slope angle) in practical engineering, the stability calculation results of slopes with various scales from numerical methods inevitably exhibit different computational precision levels in the case of identical computational grids, and therefore the stability results of different
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Simulation as a sustainable trading zone: Aiming at intergenerational justice Simulation (IF 1.09) Pub Date : 2020-08-03 Vitaly Pronskikh
The paper, drawing on the example of simulation codes used in nuclear physics and high-energy physics, seeks to highlight the ethical implications of discontinuing support for simulation codes and the loss of knowledge embodied in them. Predicated on the concept of trading zones and actor network models, the paper addresses the problem of extinction of simulation codes and attempts to understand their
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Two-level simulation approach to evaluate the performance of autonomous wheelchairs in a hospital Simulation (IF 1.09) Pub Date : 2020-07-30 Iván Castilla-Rodríguez; Rafael Arnay; Raquel Rodríguez; Jonel Rodríguez
In this paper, we present the combined usage of two different simulation levels to evaluate the economic and quality-of-service impact of deploying a fleet of autonomous wheelchairs in a hospital. The first simulation level deals with the physical world and takes into account the characteristics of a real robot, such as dimensions, sensor configuration, and speed. We simulate different trajectories
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Comparison of partial least square algorithms in hierarchical latent variable model with missing data Simulation (IF 1.09) Pub Date : 2020-07-30 Hao Cheng
Missing data is almost inevitable for various reasons in many applications. For hierarchical latent variable models, there usually exist two kinds of missing data problems. One is manifest variables with incomplete observations, the other is latent variables which cannot be observed directly. Missing data in manifest variables can be handled by different methods. For latent variables, there exist several
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Development and analysis of a novel obstacle avoidance strategy for a multi-robot system inspired by the Bug-1 algorithm Simulation (IF 1.09) Pub Date : 2020-07-10 Jom J Kandathil; Robins Mathew; Somashekhar S Hiremath
This paper addresses the development and implementation of an obstacle avoidance strategy for a multi-robot system operating in an unknown environment. This novel strategy is based on the conventional Bug-1 obstacle avoidance algorithm, which is a non-heuristic method for obstacle avoidance in an unknown environment. In the Bug-1 algorithm, a robot circumnavigates the obstacle to find the coordinates
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Simulation of a micro-milling single crystal copper process based on crystal plastic constitutive theory Simulation (IF 1.09) Pub Date : 2020-07-09 Luan Yihan; Meng Xiangyue; Xue Liang; Steven Y Liang; Lu Xiaohong
The anisotropy of single crystal copper and crystal orientation have a significant effect on the micro-milling process. At present, there is no systematic and perfect theory to explain the influence of single crystal orientation on the micro-milling process. Therefore, it is urgent to conduct an in-depth study on the micro-milling process of single crystal copper. In this paper, based on the theory
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Epistemological aspects of computational simulations and their approach through educational simulations in high school Simulation (IF 1.09) Pub Date : 2020-07-01 María Eugenia Seoane; Ileana M Greca; Irene Arriassecq
Computer simulations are currently used in diverse scientific disciplines as well as in science teaching. The simulations proposed for physics teaching are designed for specific purposes and allow studying natural phenomena through exploration and/or modeling. In this work, we present an analysis that, based on the theoretical frame provided by the nature of science (NOS), considers some aspects of
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Computing Fairness: Ethics of Modeling and Simulation in Public Health Simulation (IF 1.09) Pub Date : 2020-06-27 Marieke A R Bak
The field of public health increasingly utilizes computational models. In this context, computer scientists are confronted with moral dilemmas like those around modeling the distribution of scarce resources. However, there is a lack of research on the ethical implications of computer modeling and simulation (M&S). In this paper I aim to show that taking a transdisciplinary ethical perspective is useful
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Minimizing the bullwhip effect in a supply chain: a simulation approach using the beer game Simulation (IF 1.09) Pub Date : 2020-06-22 Abdullah A Alabdulkarim
In this research, the aim is to find the most appropriate inventory management logic and set of rules along with the optimal decision values that will minimize the bullwhip effect in a supply chain, taking the beer game supply chain as a reference model. In order to achieve this, a simulation model of the beer game supply chain is developed along with an ordering strategy based on the Economic Order
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Impact of an automated road debris removal system on traffic flow using VISSIM Simulation (IF 1.09) Pub Date : 2020-06-19 Choong Heon Yang; Hoe Kyoung Kim; Jin Guk Kim; Soullam Kim
This study introduces a state-of-the-art road debris removal system (i.e., automated road debris removal system (ROBOS)) and analyzes its impact on traffic flow using the microscopic simulation model, VISSIM. Robust simulation scenarios were established, and the major parameters of individual scenarios were also included based on extensive interviews with road workers. The performances of road workers
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Numerical investigation of particle trapping in various groove configurations in straight and bent flow channels Simulation (IF 1.09) Pub Date : 2020-06-10 LA Florio
A novel computational technique is applied to investigate particle trapping in straight and bent channel flow paths with various groove configurations in high-speed compressible, particle laden flow. The technique is valid for particle sizes of the same order of magnitude as the groove dimensions and where the particle–flow path, particle–particle, and particle–flow interactions play significant roles
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Bionic research on spikes based on the tractive characteristics of ostrich foot toenail Simulation (IF 1.09) Pub Date : 2020-06-10 Rui Zhang; Dianlei Han; Guolong Yu; Haitao Wang; Haibao Liu; Haibin Yu; Jianqiao Li
Inspired by the superior fixed and traction characteristics of ostrich foot toenails, we devised, optimized and manufactured the single structure and group arrangement of a new-style bionic spike for sprint shoes to improve athletic performance. The tractive performance of the bionic spike was tested by finite element analysis and experimental verification. The optimized single structure of the bionic
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A hierarchical multi-resolution agent-based modeling and simulation framework for household electricity demand profile Simulation (IF 1.09) Pub Date : 2020-06-10 Imran Mahmood; Quair-tul-ain; Hasan Arshad Nasir; Fahad Javed; José A Aguado
Analyzing demand behavior of end consumers is pivotal in long term energy planning. Various models exist for simulating household load profiles to cater different purposes. A macroscopic viewpoint necessitates modeling of a large-scale population at an aggregate level, whereas a microscopic perspective requires measuring loads at a granular level, pertinent to the individual devices of a household
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A priori assessment of a smart-navigated unmanned aerial vehicle disaster cargo fleet Simulation (IF 1.09) Pub Date : 2020-06-07 Jonathan Larson; Paul Isihara; Gabriel Flores; Edwin Townsend; Danilo R. Diedrichs; Christy Baars; Steven Kwon; Will McKinnon; Joseph Nussbaum; Carrie Steggerda; Joyce Yan
The United Nations Office for the Coordination of Humanitarian Affairs has asserted that risks in deployment of unmanned aerial vehicles (UAVs) within disaster response must be reduced by careful development of best-practice standards before implementing such systems. With recent humanitarian field tests of cargo UAVs as indication that implementation may soon become reality, a priori assessment of
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Using simulation in the assessment of voting procedures: An epistemic instrumental approach Simulation (IF 1.09) Pub Date : 2020-06-03 Marc Jiménez-Rolland; Julio César Macías-Ponce; Luis Fernando Martínez-Álvarez
In this paper, we argue that computer simulations can provide valuable insights into the performance of voting methods on different collective decision problems. This could improve institutional design, even when there is no general theoretical result to support the optimality of a voting method. To support our claim, we first describe a decision problem that has not received much theoretical attention
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Reliability-based performance analysis of mining drilling operations through Markov chain Monte Carlo and mean reverting process simulations Simulation (IF 1.09) Pub Date : 2020-06-03 Omer Faruk Ugurlu; Mustafa Kumral
In recent years, commodity prices have swiftly decreased, narrowing the profit margin for many mining operations and forcing them to find effective cost management strategies to respond to low prices. Given that equipment is one of the most significant assets of a mining company, efficient equipment utilization has strong potential to reduce costs. This paper focuses on the relationship between the
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Coordinating of multi-echelon supply chains through the generalized (R, S) policy Simulation (IF 1.09) Pub Date : 2020-06-02 Ahmed Shaban; Francesco Costantino; Giulio Di Gravio; Massimo Tronci
Numerous studies have confirmed the negative impact of the lack of coordination on supply chain performance. In particular, the lack of coordination leads to the bullwhip effect, which has severe impacts on supply chain stability. This paper evaluates a proposed coordination mechanism that allows a decentralized information sharing in multi-echelon supply chains. The proposed mechanism “Info-Smooth”
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Heterogeneous co-simulation for embedded and cyber-physical systems design Simulation (IF 1.09) Pub Date : 2020-06-01 Seyed-Hosein Attarzadeh-Niaki; Ingo Sander
The growing complexity of embedded and cyber-physical systems makes the design of all system components from scratch increasingly impractical. Consequently, already from early stages of a design flow, designers rely on prior experience, which comes in the form of legacy code or third-party intellectual property (IP) blocks. Current approaches partly address the co-simulation problem for specific scenarios
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Data-driven technique for analyzing the injector efficiency in a waterflooding operation Simulation (IF 1.09) Pub Date : 2020-05-30 Ali Shabani; Mahdiyeh Sadat Moosavi; Davood Zivar; Hamid Reza Jahangiri
Waterflooding is considered as one of the most common methods for improving the ultimate recovery of oil reservoirs. The efficiency of a waterflooding operation strongly depends on the determination and quantification of the relative connections between the injection and production wells. Injection and production rates are the most accessible data and they can provide useful information about the interwell
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Construction and application of an ergonomic simulation optimization method driven by a posture load regulatory network Simulation (IF 1.09) Pub Date : 2020-05-27 Xiang Liu; Jian Lv; Qingsheng Xie; Haisong Huang; Weixing Wang
The optimization of man–machine systems is a critical component in the research and development of products but it has been a struggle to improve the optimization accuracy. This study presents an ergonomic optimization method driven by a posture load regulatory network (PLRN). Considering that the differences in work-related musculoskeletal disorders are caused by different occupations, human body
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Transportation-oriented spatial allocation of land use development: a simulation-based optimization method Simulation (IF 1.09) Pub Date : 2020-05-27 Hongzhi Lin; Yongping Zhang
Urban development usually deteriorates the transportation system. For sustainable urban development, policymakers often face the challenging problem of how to optimally allocate overall land use quotas across a number of residential locations according to the performance of the transportation system. This is a kind of Stackelberg competition, where policymakers make land use decisions and travelers
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A robust model for generation and transmission expansion planning with emission constraints Simulation (IF 1.09) 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
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Post-processing and visualization of large-scale DEM simulation data with the open-source VELaSSCo platform Simulation (IF 1.09) 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
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Evaluating intensive care unit admission and discharge policies using a discrete event simulation model Simulation (IF 1.09) 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
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A simulation model for ergonomic design of industrial processes Simulation (IF 1.09) 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
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Linguistic dynamic simulation A new approach Simulation (IF 1.09) 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
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Parameter optimization with ACSL models Simulation (IF 1.09) 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.
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Hierarchical, modular discrete-event modelling in an object-oriented environment Simulation (IF 1.09) 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
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An Artificial Neural Networks approach to predict low-velocity impact forces in an elastomer material Simulation (IF 1.09) 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
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A quasi-Monte Carlo method based on the Karhunen–Loeve expansion for groundwater flow simulation Simulation (IF 1.09) 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
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A novel parallel clock-driven algorithm for simulation of neuronal networks based on virtual synapse Simulation (IF 1.09) 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
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Design of slip-based traction control system for EV and validation using co-simulation between Adams and Matlab/Simulink Simulation (IF 1.09) 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
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A multi-agent model of changes in urban safety livability Simulation (IF 1.09) 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
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JigCell Model Connector: building large molecular network models from components. Simulation (IF 1.09) 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
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Distributed dynamic simulations of networked control and building performance applications. Simulation (IF 1.09) 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
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