scholarly journals Universal Virtual Lab: a Fast and Accurate Simulation Tool for Wideband Nonlinear DWDM Systems

2022 ◽  
pp. 1-1
Author(s):  
David Dahan ◽  
Michael Zarubinsky ◽  
Yunhua Liang ◽  
Ori Golani ◽  
Mark Shtaif
Keyword(s):  
Author(s):  
Shreyanshu Parhi ◽  
S. C. Srivastava

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.


2014 ◽  
Vol 13 (8) ◽  
pp. 4723-4728
Author(s):  
Pratiksha Saxena ◽  
Smt. Anjali

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. 


2020 ◽  
Vol 3 (2) ◽  
pp. 351-359
Author(s):  
Egidius Dewa ◽  
Maria Ursula Jawa Mukin ◽  
Oktavina Pandango

Abstrak: Tulisan ini bertujuan untuk mengetahui pengaruh pembelajaran daring berbantuan laboratorium virtual terhadap minat belajar fisika peserta didik dan mengetahui pengaruh pembelajaran daring berbantuan laboratorium virtual terhadap hasil belajar kognitif fisika peserta didik. Jenis penelitian ini adalah quasi eksperimen dengan desain eksperimen one group pretest posttest. Sampel penelitian ini adalah peserta didik kelas X MIPA 1 yang berjumlah 33 orang yang ditentukan dengan teknik simple random sampling. Instrumen yang digunakan dalam penelitian ini adalah tes hasil belajar kognitif dan angket minat belajar peserta didik. Hasil analisis data dapat disimpulkan bahwa ada pengaruh pembelajaran daring berbantuan laboratorium virtual terhadap minat belajar peserta didik dengan nilai sig (2-tailed) lebih kecil dari 0,05 (0,0063 < 0,05) dan ada pengaruh pembelajaran daring berbantuan laboratorium virtual terhadap hasil belajar kognitif peserta didik dengan nilai sig (2-tailed)  lebih kecil dari 0,05 (0,000 < 0,05) Abstract: This article aims to determine the influence of online learning with virtual labs on the learning interest of students ' physics and to know the influence of online learning with virtual labs on cognitive learning outcomes of student physics. This type of research is a quasi experiment with the experimental design of one group Pretests posttest. This research sample is a student of class X MIPA 1 which amounted 33 people determined with simple random sampling technique. The instruments used in this study are cognitive learning results test and Angket learning interest learners. Data analysis results can be concluded that there is a virtual lab-assisted online learning influence to the learning interest of learners with a value of sig (2-tailed) smaller than 0.05 (0.0063 < 0.05) and there is a virtual lab-assisted online learning influence to the outcome of the students ' cognitive learning with a sig (2-tailed) value smaller than 0.05 (0.000 < 0.05).


1998 ◽  
Vol 38 (2) ◽  
pp. 201-208
Author(s):  
M. W. Milke

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.


Author(s):  
Alexandre Eghiaian ◽  
Antony Lanceleur ◽  
Anne Laure Le Maho ◽  
Arnaud Pouilly ◽  
Pierre Meudal de Kerlidy ◽  
...  
Keyword(s):  

2021 ◽  
Vol 262 ◽  
pp. 107860
Author(s):  
Robin Fingerhut ◽  
Gabriela Guevara-Carrion ◽  
Isabel Nitzke ◽  
Denis Saric ◽  
Joshua Marx ◽  
...  

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