Distributed Virtual Control and Simulation Based on VNC and RFB Protocols

2011 ◽  
Vol 148-149 ◽  
pp. 721-724
Author(s):  
Xiao Lin Lu
Keyword(s):  
System Integration ◽  
Telecommunication Network ◽  
Simulation Software ◽  
Simulation Environment ◽  
Network Management System ◽  
Great Flexibility ◽  
Thin Client ◽  
Virtual Control ◽  
Computing Model ◽  
Simulation Based

The distributed virtual control and simulation has been investigated collaborative compute environment. The VNC and RFB protocol is a thin-client computing model for setting up a cooperative environment. This paper proposed a WSRFB Protocol to construct a distributed virtual control and simulation environment with shared remote program. The distributed virtual control can simulate the window generated by the distributed virtual control and simulation software. The algorithm successfully applied it in the telecommunication network management system integration. The results and experiments demonstrated that the WSRFB protocol could offer a great flexibility simulation environment.

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 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.

Symposium Using Synthetic Teammates to Train Teamwork Skills: Perspectives and Issues

2002 ◽  
Vol 46 (25) ◽  
pp. 2025-2025
Author(s):  
Jean MacMillan ◽  
Denise Lyons
Keyword(s):  
Team Training ◽  
Learning Opportunities ◽  
Learning Objectives ◽  
Simulation Environment ◽  
Modeling Tools ◽  
Simulation Based ◽  
Competency Based ◽  
Teamwork Skills ◽  
Potential Opportunity

This symposium considers both the challenges and the opportunities for the training of teamwork skills with synthetic teammates. Synthetic entities offer a potential opportunity to deliver simulation-based team training in a less expensive, more convenient, more easily deployed form. They may also increase the quality and quantity of training by creating learning opportunities for the team that might never be encountered in less controlled training with live players. The focus of the symposium is on how synthetic teammates can best be designed and used to train teamwork, guided by learning objectives. The papers in the symposium consider what is needed to create and employ synthetic teammates and synthetic instructors, and cover several application areas, a range of levels of fidelity for the simulation environment and the synthetic teammates, a variety of modeling tools, and several evaluation and measurement approaches. Their common focus is how best to exploit synthetic entities for competency-based teamwork training.

scholarly journals Methodology and Software Tool for Energy Consumption Evaluation and Optimization in Multilayer Transport Optical Networks

Energies ◽  
2020 ◽  
Vol 13 (23) ◽  
pp. 6370
Author(s):  
Krzysztof Przystupa ◽  
Mykola Beshley ◽  
Mykola Kaidan ◽  
Volodymyr Andrushchak ◽  
Ivan Demydov ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Optical Networks ◽  
Telecommunication Network ◽  
Software Tool ◽  
Optical Devices ◽  
Optical Quality ◽  
Simulation Software ◽  
Telecommunication Networks ◽  
Optical Modulators ◽  
Optical Transport

In communication networks, the volume of traffic, the number of connected devices and users continues to grow. As a result, the energy consumption generated by the communication infrastructure has become an important parameter that needs to be carefully considered and optimized both when designing the network and when operating it in real-time. In this paper, the methodology of calculation of complex parameters of energy consumption for transport telecommunication networks is proposed. Unlike the known techniques, the proposed methodology takes into account heterogeneity and multilayer networks. It also takes into account the energy consumption parameter during the downtime of the network equipment in the process of processing the service data blocks, which is quite an important task for improving the accuracy of energy consumption at the stage of implementing the energy-saving network. We also developed simulation software to estimate and manage the energy consumption of the optical transport network using the LabVIEW environment. This software tool allows telecommunication network designers to evaluate energy consumption, which allows them to choose the optimal solution for the desired projects. The use of electro-and acousto-optical devices for optical transport networks is analyzed. We recommended using electro-optical devices for optical modulators and acousto-optical devices for optical switches. The gain from using this combination of optical devices and the parameter of rij electro-optical coefficient and M2 acousto-optical quality parameter found in the paper is about 36.1% relative to the complex criterion of energy consumption.

Experimental Study on Behavior Acquisition of Mobile Robot by Deep Q-Network

2017 ◽  
Vol 21 (5) ◽  
pp. 840-848 ◽  
Author(s):  
Hikaru Sasaki ◽  
Tadashi Horiuchi ◽  
Satoru Kato ◽  
◽  
◽  
...  
Keyword(s):  
Mobile Robot ◽  
Visual Information ◽  
Profit Sharing ◽  
Simulation Software ◽  
Learning Performance ◽  
Simulation Environment ◽  
Q Learning ◽  
Robot Behavior ◽  
Target Network ◽  
Behavior Learning

Deep Q-network (DQN) is one of the most famous methods of deep reinforcement learning. DQN approximates the action-value function using Convolutional Neural Network (CNN) and updates it using Q-learning. In this study, we applied DQN to robot behavior learning in a simulation environment. We constructed the simulation environment for a two-wheeled mobile robot using the robot simulation software, Webots. The mobile robot acquired good behavior such as avoiding walls and moving along a center line by learning from high-dimensional visual information supplied as input data. We propose a method that reuses the best target network so far when the learning performance suddenly falls. Moreover, we incorporate Profit Sharing method into DQN in order to accelerate learning. Through the simulation experiment, we confirmed that our method is effective.

The simulation-based performance measurement in an evaluation module for Faborg-Sim simulation software

2010 ◽  
Vol 37 (12) ◽  
pp. 8211-8220 ◽  
Author(s):  
Halil Ibrahim Koruca ◽  
Gultekin Ozdemir ◽  
Erdal Aydemir ◽  
Muhammed Cayirli
Keyword(s):  
Performance Measurement ◽  
Simulation Software ◽  
Simulation Based ◽  
Evaluation Module
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