scholarly journals Quantum composer: A programmable quantum visualization and simulation tool for education and research

2021 ◽  
Vol 89 (3) ◽  
pp. 307-316
Author(s):  
Shaeema Zaman Ahmed ◽  
Jesper Hasseriis Mohr Jensen ◽  
Carrie Ann Weidner ◽  
Jens Jakob Sørensen ◽  
Marcel Mudrich ◽  
...  
Keyword(s):  
Simulation Tool ◽  
Visualization And Simulation

scholarly journals Landscape Simulation and Visualization on Google Earth

2011 ◽  
Vol 10 (2) ◽  
pp. 11-15
Author(s):  
Tsuyoshi Honjo ◽  
Kiyoshi Umeki ◽  
Darhsiung Wang ◽  
Pinan Yang ◽  
Hanching Hsieh
Keyword(s):  
Low Cost ◽  
Landscape Design ◽  
Google Earth ◽  
Measured Data ◽  
Planning System ◽  
Markup Language ◽  
Simulation Tool ◽  
Visualization System ◽  
Virtual Experience ◽  
Visualization And Simulation

In this study, we made a landscape visualization system that enables virtual experience in a planned landscape including vegetation on Google Earth. The applicability of the system to the landscape design was quite powerful. The planning system generates KML (Keyhole Markup Language) and VRML. KML file is visualized on Google Earth and VRML file can be visualized on stand alone computer. Plants were automatically placed on a terrain based on the data of GIS or Excel by using the system developed in this study. With the system, we made models of Koishikawa Korakuen Garden based on measured data. Performance of walk-through simulations was quite good. We proved that landscape visualization and simulation with Google Earth was possible and that the system can be used as a practical and low cost landscape simulation tool.

A Highly Efficient and Optimised Simulation Based Multi objective Decision-Making for FMS Control

2018 ◽  
Vol 6 (6) ◽  
pp. 98
Author(s):  
Shreyanshu Parhi ◽  
S. C. Srivastava
Keyword(s):  
Decision Making ◽  
Real Time ◽  
Manufacturing Industry ◽  
Simulation Software ◽  
Shop Floor ◽  
Simulation Tool ◽  
Routing Flexibility ◽  
Decision System ◽  
Multi Objective ◽  
Arena Simulation

Optimized and efficient decision-making systems is the burning topic of research in modern manufacturing industry. The aforesaid statement is validated by the fact that the limitations of traditional decision-making system compresses the length and breadth of multi-objective decision-system application in FMS.  The bright area of FMS with more complexity in control and reduced simpler configuration plays a vital role in decision-making domain. The decision-making process consists of various activities such as collection of data from shop floor; appealing the decision-making activity; evaluation of alternatives and finally execution of best decisions. While studying and identifying a suitable decision-making approach the key critical factors such as decision automation levels, routing flexibility levels and control strategies are also considered. This paper investigates the cordial relation between the system ideality and process response time with various prospective of decision-making approaches responsible for shop-floor control of FMS. These cases are implemented to a real-time FMS problem and it is solved using ARENA simulation tool. ARENA is a simulation software that is used to calculate the industrial problems by creating a virtual shop floor environment. This proposed topology is being validated in real time solution of FMS problems with and without implementation of decision system in ARENA simulation tool. The real-time FMS problem is considered under the case of full routing flexibility. Finally, the comparative analysis of the results is done graphically and conclusion is drawn.

Simulation Tool for Assignment Models: SIMASI

2014 ◽  
Vol 13 (8) ◽  
pp. 4723-4728
Author(s):  
Pratiksha Saxena ◽  
Smt. Anjali
Keyword(s):  
Optimization Procedure ◽  
Simulation Tool ◽  
Optimization Strategy ◽  
Performance Measurements ◽  
Integrated Simulation ◽  
Assignment Model ◽  
Classical Models ◽  
Simulation Results ◽  
User Friendly ◽  
Assignment Models

In this paper, an integrated simulation optimization model for the assignment problems is developed. An effective algorithm is developed to evaluate and analyze the back-end stored simulation results. This paper proposes simulation tool SIMASI (Simulation of assignment models) to simulate assignment models. SIMASI is a tool which simulates and computes the results of different assignment models. This tool is programmed in DOT.NET and is based on analytical approach to guide optimization strategy. Objective of this paper is to provide a user friendly simulation tool which gives optimized assignment model results. Simulation is carried out by providing the required values of matrix for resource and destination requirements and result is stored in the database for further comparison and study. Result is obtained in terms of the performance measurements of classical models of assignment system. This simulation tool is interfaced with an optimization procedure based on classical models of assignment system. The simulation results are obtained and analyzed rigorously with the help of numerical examples. 

Computer simulation to evaluate the economics of landfill gas recovery

1998 ◽  
Vol 38 (2) ◽  
pp. 201-208
Author(s):  
M. W. Milke
Keyword(s):  
Computer Simulation ◽  
Computer Program ◽  
Landfill Gas ◽  
Base Case ◽  
Simulation Tool ◽  
Hypothetical Case ◽  
Gas Recovery ◽  
Fixed Set ◽  
Key Variables ◽  
Simulation Results

A need exists for tools to improve evaluations of the economics of landfill gas recovery. A computer simulation tool is presented. It uses a spreadsheet computer program to calculate the economics for a fixed set of inputs, and a simulation program to consider variations in the inputs. The method calculates the methane generated each year, and estimates the costs and incomes associated with the recovery and sale of the gas. Base case results are presented for a city of 500,000. An uncertainty analysis for a hypothetical case is presented. The simulation results can help an analyst see the key variables affecting the economics of a project.

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