scholarly journals Review on the Quality Attributes of an Integrated Simulation Software for Weapon Systems

2021 ◽  
Vol 24 (4) ◽  
pp. 408-417
Author(s):  
Hyun-Shik Oh ◽  
Dohyung Kim ◽  
Sunju Lee
Keyword(s):  
Distributed Simulation ◽  
Quality Attributes ◽  
Simulation Software ◽  
Simulation Environment ◽  
Simulation Framework ◽  
Integrated Simulation ◽  
Weapon Systems ◽  
Military Exercises ◽  
Environment Model ◽  
Simulation Engines

This paper describes the quality attributes of an integrated simulation software for weapon systems named Advanced distributed simulation environment(AddSIM). AddSIM is developed as a key enabler for Defense Modeling & Simulation(M&S) systems which simulate battlefields and used for battle experiments, analyses, military exercises, training, etc. AddSIM shall provide a standard simulation framework of the next Defense M&S systems. Therefore AddSIM shall satisfy not only functional but also quality requirements such as availability, modifiability, performance, testability, usability, and others. AddSIM consists of operating softwares of hierarchical components including graphical user interface, simulation engines, and support services(natural environment model, math utility, etc.), and separated weapon system models executable on the operating softwares. The relation between software architectures and their quality attributes are summarized from previous works. And the AddSIM architecture and its achievements in the aspect of quality attributes are reviewed.

scholarly journals SIMULATION SERVICE PROVIDING IN A DISTRIBUTED SIMULATION ENVIRONMENT

2014 ◽  
pp. 38-45
Author(s):  
Alexey Cheptsov
Keyword(s):  
Distributed Simulation ◽  
Discrete Event ◽  
Unified Modeling Language ◽  
Simulation Environment ◽  
Simulation Framework ◽  
Web Based ◽  
Unified Modeling ◽  
Event Simulation ◽  
Complex Dynamic Systems ◽  
Unified Process

Simulation of complex dynamic systems is an interdisciplinary problem. To solve this problem the author suggests a distributed simulation environment as a new form of simulation means system organization that provides web-based distributed simulation of engineering and industrial tasks as simulation services using Discrete Event Simulation Framework on the basis of Grid infrastructure. The Unified Process of Simulation Services Development based on Unified Modeling Language is proposed.

Simulation Analysis of Passenger Streamline in Wuhan Railway Station

2015 ◽  
Vol 744-746 ◽  
pp. 2175-2179
Author(s):  
Yang Xia ◽  
Yu Guang Wei
Keyword(s):  
Dynamic Simulation ◽  
Customer Service ◽  
Simulation Analysis ◽  
Simulation Software ◽  
Inspection System ◽  
Simulation Environment ◽  
Railway Station ◽  
Environment Model ◽  
Practical Operation ◽  
Parametric Statistics

Based on the analysis of passenger streamline in Wuhan Railway Station and according to characteristics of function location layout and passenger streamline distribution, this paper simulates the passenger streamline of the elevated layer of Wuhan Railway Station by Anylogic micro-dynamic simulation software, setting up a dynamic simulation environment model of passenger streamline organization and designing a simulation process. Based on the parametric statistics analysis of the queue length of main equipment on the elevated layer (such as ticketing system equipment and safety inspection system equipment), this article put forward optimization scheme of the reasonable disposition of the customer service equipment and provide a basis for decision of practical operation management.

Multi-Domain Modeling and Co-Simulation Based on Modelica and Simulink

2014 ◽  
Vol 596 ◽  
pp. 927-930
Author(s):  
Guang Shu Tian ◽  
Li Chen Zhang
Keyword(s):  
Modeling And Simulation ◽  
System Modeling ◽  
Collaborative Work ◽  
Simulation Software ◽  
Simulation Tool ◽  
Domain Modeling ◽  
Simulation Environment ◽  
Simulation Framework ◽  
Simulation Tools ◽  
Simulation Based

A co-simulation solution based on multi-domain modeling with Modelica is proposed to achieve the co-simulation of multi-domain modeling and simulation environment with other simulation environment . Based on the connection mechanism of multi-domain Modelica models the co-simulation under S-function co-simulation framework is implemented using the converting principle between Modelica models and Simulink modules. A co-simulation example between MWorks which is a multi-domain physical system modeling and simulation tool based on Modelica and AMESim indicates that the method can extend the application of Modelica models and achieve the collaborative work with multi-domain modeling and simulation tools and other simulation software.

scholarly journals Dynamic Simulations of Manufacturing Processes: Hybrid-Evolving Technique

Metals ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 1884
Author(s):  
Amir M. Horr ◽  
Johannes Kronsteiner
Keyword(s):  
Predictive Power ◽  
Industrial Applications ◽  
Simulation Environment ◽  
Simulation Framework ◽  
Dynamic Simulations ◽  
Integrated Simulation ◽  
Multi Scale ◽  
Modeling Techniques ◽  
Process Simulations ◽  
Data Driven Modeling

Hybrid physical-data-driven modeling techniques have steadily been developed to address the multi-scale and multi-physical aspects of dynamic process simulations. The analytical and computational features of a new hybrid-evolving technique for these processes are elaborated herein and its industrial applications are highlighted. The authentication of this multi-physical and multi-scale framework is carried out by developing an integrated simulation environment where multiple solver technologies are employed to create a reliable industrial-oriented simulation framework. The goal of this integrated simulation framework is to increase the predictive power of material and process simulations at the industrial scale.

scholarly journals Distributed Simulation Platforms and Data Passing Tools for Natural Hazards Engineering: Reviews, Limitations, and Recommendations

2021 ◽  
Author(s):  
Lichao Xu ◽  
Szu-Yun Lin ◽  
Andrew W. Hlynka ◽  
Hao Lu ◽  
Vineet R. Kamat ◽  
...  
Keyword(s):  
Natural Hazards ◽  
Data Exchange ◽  
Distributed Simulation ◽  
Distributed Data ◽  
Interactive Simulation ◽  
Integrated Simulation ◽  
Domain Specific ◽  
Advantages And Disadvantages ◽  
High Level ◽  
Data Passing

AbstractThere has been a strong need for simulation environments that are capable of modeling deep interdependencies between complex systems encountered during natural hazards, such as the interactions and coupled effects between civil infrastructure systems response, human behavior, and social policies, for improved community resilience. Coupling such complex components with an integrated simulation requires continuous data exchange between different simulators simulating separate models during the entire simulation process. This can be implemented by means of distributed simulation platforms or data passing tools. In order to provide a systematic reference for simulation tool choice and facilitating the development of compatible distributed simulators for deep interdependent study in the context of natural hazards, this article focuses on generic tools suitable for integration of simulators from different fields but not the platforms that are mainly used in some specific fields. With this aim, the article provides a comprehensive review of the most commonly used generic distributed simulation platforms (Distributed Interactive Simulation (DIS), High Level Architecture (HLA), Test and Training Enabling Architecture (TENA), and Distributed Data Services (DDS)) and data passing tools (Robot Operation System (ROS) and Lightweight Communication and Marshalling (LCM)) and compares their advantages and disadvantages. Three specific limitations in existing platforms are identified from the perspective of natural hazard simulation. For mitigating the identified limitations, two platform design recommendations are provided, namely message exchange wrappers and hybrid communication, to help improve data passing capabilities in existing solutions and provide some guidance for the design of a new domain-specific distributed simulation framework.

scholarly journals Multi-Objective Optimization of Traffic Signal Timing for Oversaturated Intersection

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Yan Li ◽  
Lijie Yu ◽  
Siran Tao ◽  
Kuanmin Chen
Keyword(s):  
Simulation Software ◽  
Traffic Signal ◽  
Signal Control ◽  
Traffic Signal Control ◽  
Signal Timing ◽  
Simulation Environment ◽  
Multi Objective Optimization ◽  
Good Efficiency ◽  
Multi Objective ◽  
Traffic Signal Timing

For the purpose of improving the efficiency of traffic signal control for isolate intersection under oversaturated conditions, a multi-objective optimization algorithm for traffic signal control is proposed. Throughput maximum and average queue ratio minimum are selected as the optimization objectives of the traffic signal control under oversaturated condition. A simulation environment using VISSIM SCAPI was utilized to evaluate the convergence and the optimization results under various settings and traffic conditions. It is written by C++/CRL to connect the simulation software VISSIM and the proposed algorithm. The simulation results indicated that the signal timing plan generated by the proposed algorithm has good efficiency in managing the traffic flow at oversaturated intersection than the commonly utilized signal timing optimization software Synchro. The update frequency applied in the simulation environment was 120 s, and it can meet the requirements of signal timing plan update in real filed. Thus, the proposed algorithm has the capability of searching Pareto front of the multi-objective problem domain under both normal condition and over-saturated condition.

A Semi-Autonomous Quadruped Robot for Performing Disinfection in Cluttered Environments

2021 ◽  
Author(s):  
Yiyu Chen ◽  
Abhinav Pandey ◽  
Zhiwei Deng ◽  
Anthony Nguyen ◽  
Ruiqi Wang ◽  
...  
Keyword(s):  
Vision System ◽  
Quadruped Robot ◽  
Simulation Software ◽  
The Body ◽  
Body Motion ◽  
Daily Routine ◽  
Public And Private ◽  
Cluttered Environments ◽  
Integrated Simulation ◽  
Human Labor

Abstract The global COVID-19 pandemic has inevitably made disinfection a daily routine to ensure the safety of public and private spaces. However, the existing disinfection procedures are time-consuming and require intensive human labor to apply chemical-based disinfectant onto contaminated surfaces. In this paper, a robot disinfection system is presented to increase the automation of the disinfection task to assist humans in performing routine disinfection safely and efficiently. This paper presents a semi-autonomous quadruped robot called LASER-D for performing disinfection in cluttered environments. The robot is equipped with a spray-based disinfection system and leverages the body motion to control the spray action without an extra stabilization mechanism. The spraying unit is mounted on the robot’s back and controlled by the robot computer. The control architecture is designed based on force control, resulting in navigating rough terrains and the flexibility in controlling the body motion during standing and walking for the disinfection task. The robot also uses the vision system to improve localization and maintain desired distance to the disinfection surface. The system incorporates image processing capability to evaluate disinfected regions with high accuracy. This feedback is then used to adjust the disinfection plan to guarantee that all assigned areas are disinfected properly. The system is also equipped with highly integrated simulation software to design, simulate and evaluate disinfection plans effectively. This work has allowed the robot to successfully carry out effective disinfection experiments while safely traversing through cluttered environments, climb stairs/slopes, and navigate on slippery surfaces.

Simulation on the Web with distributed models and intelligent agents

SIMULATION ◽  
2012 ◽  
Vol 88 (9) ◽  
pp. 1080-1092 ◽  
Author(s):  
András Jávor ◽  
Attila Fűr
Keyword(s):  
Intelligent Agents ◽  
Distributed Simulation ◽  
Simulation System ◽  
Simulation Software ◽  
Software Systems ◽  
Web Based ◽  
Distributed Models ◽  
Adaptive Simulation ◽  
Sample Application ◽  
Great Complexity

Simulation is aimed very often to solve problems of great complexity requiring – beyond using the advanced simulation software tools – platforms that enable the implementation of such software systems. In recent years the concept of cloud computing has emerged and is being applied more and more widely for solving such problems. This paper, beyond delineating the main trends of the development of distributed simulation over a grid, especially over the Internet through Web-based applications, highlights the concepts of service-based simulation system approach. This concept gives the possibility of implementing Web- or cloud agents and other ASP system compliant simulation services based on simulation standards. As a sample application, Fuzzy Web Service is demonstrated as a part of CASSANDRA 4.0 (Cognizant Adaptive Simulation System for Applications in Numerous Different Relevant Areas) that is developed by the McLeod Institute of Simulation Sciences Hungarian Center.

scholarly journals An Integrated Simulation Environment to test the effectiveness of GLOSA services under different working conditions

2022 ◽  
Vol 134 ◽  
pp. 103455
Author(s):  
Angelo Coppola ◽  
Luca Di Costanzo ◽  
Luigi Pariota ◽  
Stefania Santini ◽  
Gennaro Nicola Bifulco
Keyword(s):  
Working Conditions ◽  
Simulation Environment ◽  
Integrated Simulation
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