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# Simulation Modeling - Science topic

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For pearl millet we already have significant number of crop simulation models but not for millets: barnyard millet, proso millet, etc. Please throw light on their availability.
Hello José De Luca actually I want to use crop simulation model to study the climate change impact on barnyard/finger millet, so a significant number of CSMs are available for Pearl millet but I haven't come across any for other millets. I wanted to know if such CSMs are available. Does Montecarlo simulation support it??
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Is there a model that I can use to estimate the long term effect of irrigation water salinity on the soil after several seasons of irrigation, which puts in consideration the crop pattern planted and the quantity of water used in the area? Can such model give a projection for the long-term effect of saline accumulation? What other factors should this model include?
Provided that your goal can be rephrased like this cite:
According to the climate conditions, crop growth, irrigation, or fallow period, a year can be divided into 1–4 simulation seasons, and the length of each season can be determined according to its continuous month. In the vertical direction, the soil profile is divided into four layers: Surface reservoir, root zone, transition zone, and aquifer (Figure 2). Each layer has a water and salt balance equation, which is based on the water balance equation of each layer and its salt content.
Then the SAHYSMOD is your model here
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Dear Swarm intelligence,
I am brooding over a problem of sample size calculation and I need some input:
The Design: I am having a repeated-measures multilevel model with 22 levels. Each participant will be exposed to 22 message variants (in varying lingusitic styles) and will fill out 22 questionnaires of "message liking" .
The analysis then aims to predict message liking by a single continuous predictor (linguistic score of participants, from 0 to 1).
What I did so far:
So far I tried G*power, however as far as I know it only allows repeated-measures calculations for categorical predictors (not continous ones). I've also tried GLIMMPSE (glimmpse.samplesizeshop.org/). However, GLIMMPSE asked me to provide expected variance and/or correlations between my 22 levels, which I unfortunately do not have and which are not retrievable from other studies.
Next steps: What i thought about next, might be to run a more elaborate simulation model for the sample size predictions to account for my lack of knowledge about expected variance/correlations. However, this seems to be a bigger project and I want to make sure that this is a sensible way to go.
Before I jump to simulations, does anybody have experience in similiar calculations or an additional idea how to tackle this issue?
Jonas
Hi Jonas, I am trying to do something similar and have tried both GPower and GLIMMPSE but with no success due to the reasons your describe. I'd be really interested to know what you did in the end, did you use the simulation approach. Cheers, Brad
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Can anybody give me a simulation model of "V2G and G2V system control using model predictive controller (MPC)" ? Because I need to implement it in hardware ?
Atleast can anybody give me a clue or suggestion or idea how to do it. I am not asking for an exact answer (I am not asking to do the exact and complete simulation model).
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I want to test the efficacy of a head starting program on a specific lizard species, but I am unsure of how to do this correctly on the simulation software Vortex. I believe I have to create state variables for this, but I don't know how to write the transition function. Can anybody help me out or provide me with a source that I can follow?
To test the efficacy of a head starting program for a specific lizard species using the simulation software Vortex, you will need to create state variables and a transition function to model the growth and development of the lizards.
A state variable is a variable that represents the status of the system being modeled. In this case, you would need to define state variables that represent the characteristics of the lizard population, such as the number of individuals, their age, size, or body condition.
The transition function is a mathematical formula that describes how the state variables change over time. The transition function takes the current state variables as inputs and calculates the new values for the state variables based on the underlying biological processes that drive the growth and development of the lizards.
Here is a general outline of how you could write the transition function:
1. Define the state variables: Start by defining the state variables that you will use to model the growth and development of the lizards. For example, you might use variables such as number of individuals, mean body size, mean body condition, and age.
2. Identify the underlying biological processes: Next, you need to identify the key biological processes that drive the growth and development of the lizards. For example, you might consider factors such as food availability, predator pressure, temperature, and disease.
3. Write the transition function: Using the state variables and the underlying biological processes, you can write the transition function that describes how the state of the system changes over time. For example, the transition function for the number of individuals might take into account the birth rate, death rate, and immigration rate.
4. Incorporate the head starting program: To test the efficacy of the head starting program, you would need to modify the transition function to account for the effects of the program. For example, you might add a term to the transition function that increases the size or body condition of the lizards based on the conditions provided by the head starting program.
5. Validate the model: Finally, you should validate the model by comparing the simulated results to data from real populations of the lizard species. You can use this information to refine and improve the model as needed.
This is just a general outline and the specific details of the transition function will depend on the characteristics of the species you are modeling, the data available, and the goals of your simulation. It is advisable to consult with a specialist in the field of simulation modeling or in the biology of the species you are modeling to ensure the validity of your model.
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We built a simulation model can describe the spread process of COVID-19 in the metro system with six stations.
However, the running speed of this simulation is plodding. We think this is because we used the "schedule" function to realize the time-varying arrival process of passengers. So, if you know how to make this simulation faster, I'm all ears.
please text or email me: wuaoping4real@163.com.
The link of model is below:
Cloud computing appears to be sophisticated but is just wasteful fluff. You are perhaps using some simulation system or software or script that is extremely inefficient such as python. Watch this YouTube video to see how astonishingly inefficient script can be: https://www.youtube.com/watch?v=c33AZBnRHks
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I would like to perform a tolerance analysis of a CLLC topology using matlab simulink. But the main constraint is the simulation speed. It takes almost 20mins to perform one simulation . The switching frequency of the model is 200KHz. The simulation step size is 1e-8. I am currently using the circuit simulation model. i would like to perform some 2000 simulations using monte carlo approach. This can cost me more time. Is there any better solution available?
The easiest tolerance analysis, of which I've used, is Micro-Cap, a SPICE program. Micro-Cap can perform worst case by varying every component to the max and min levels. https://www.spectrum-soft.com/download/download.shtm
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Can Big Data Analytics technology be helpful in forecasting complex multi-faceted climate, natural, social, economic, pandemic, etc. processes?
Industry 4.0 technologies, including Big Data Analytics technology, are used in multi-criteria processing, analyzing large data sets. The technological advances taking place in the field of ICT information technology make it possible to apply analytics carried out on large sets of data on various aspects of the activities of companies, enterprises and institutions operating in different sectors and branches of the economy.
Before the development of ICT information technologies, IT tools, personal computers, etc. in the second half of the 20th century as part of the 3rd technological revolution, computerized, partially automated processing of large data sets was very difficult or impossible. As a result, building multi-criteria, multi-article, big data and information models of complex structures, simulation models, forecasting models was limited or impossible. However, the technological advances made in the current fourth technological revolution and the development of Industry 4.0 technology have changed a lot in this regard. More and more companies and enterprises are building computerized systems that allow the creation of multi-criteria simulation models within the framework of so-called digital twins, which can present, for example, computerized models that present the operation of economic processes, production processes, which are counterparts of the real processes taking place in the enterprise. An additional advantage of this type of solution is the ability to create simulations and study the changes of processes fictitiously realized in the model after the application of certain impact factors and/or activation, materialization of certain categories of risks. When large sets of historical quantitative data presenting changes in specific factors over time are added to the built multi-criteria simulation models within the framework of digital twins, it is possible to create complex multi-criteria forecasting models presenting potential scenarios for the development of specific processes in the future. Complex multi-criteria processes for which such forecasting models based on computerized digital twins can be built include climatic, natural, social, economic, pandemic, etc. processes, which can be analyzed as the environment of operating specific companies, enterprises and institutions.
In view of the above, I address the following question to the esteemed community of researchers and scientists:
In forecasting complex multi-faceted climate, natural, social, economic, pandemic, etc. processes, can Big Data Analytics technology be helpful?
What is your opinion on this issue?
I invite everyone to join the discussion,
Thank you very much,
Best wishes,
Dariusz Prokopowicz
Dear Dariusz
The problem, however, is that the analytics are imperfect...
It is necessary to understand how human intuition (expert intuition) works... I am convinced that understanding the mechanisms of intuition holds great potential for improving analytics and forecasting...
My own research shows that nature has found genius ways to deal with radical uncertainty with limited resources...
Yurii
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Hello all,
Is it okay to publish article based on previous same methodology used by another researcher? I wanted to use that method but on different machine and with different experimental data?
I meant, I have used the same methodology, but I have developed my own simulation model and even new code for our purpose. Only thing is that I am using the same software as that researcher used in his article with the same steps. However, our machine is different than him and sample used in experimental campaign are different (Of course, our simulation model is different). What do you think ? is it okay to publish article in Journal?
Because i am afraid that he is expert on that article and if he selected as reviewers then he will reject my paper. Please let me know your opinions.
Thanks
The method is commonly used by different researchers, but your data new. That is OK. Regards
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Can anybody suggest a suitable and freely available model to simulate the NEXUS (water-food-energy-land-climate change-socio-economic) simulation model?
Thank you very much,
Best regards,
Krishna
Hi,
Best regards
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I want to create heterogeneous conditions in the 3D rectangular tank using SIS (Sequential Indicator Simulator) model or any others. I want to know, How we can implement this model to build this grid formation for packing purposes.
Dear Preetam Kumar Shukla,
Sequential indicator simulation is a commonly used method for discrete variable simulation in 3D geological modeling and a widely used stochastic simulation. I don't know if you have stochastic data for your case? however I suggest you see papers tolking about this subject, please take a look at those links.
Best regards
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Hello
I am trying to simulate the thruster dynamics for an underwater ROV. I need the detailed parameters of the thrusters including electrical and mechanical data of the thrusters for simulation.
I would sincerely appreciate it if somebody could share the data or the simulation files.
best regards
Alireza
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I'm doing a research about simulation modeling and I've been using anylogic for a couple of weeks now to collect information for my project.
I know anylogic is a very flexible software with a java base but I want to know if there are any issues you ran into while using anylogic or if there are any fields/industries that doesn't work with anylogic very well.
Please feel free to write down any issues you noticed while you were using anylogic and any opinions you have about the software.
Thankyou very much Shima Shafiee Ill take a look. it looks very helpful
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Does anyone know about contrafactual statistical simulation models, and can you recommend a reference book for me?
Thanks
Apologies for the triple post - browser hiccups.
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Who has a simulation model of a wind turbine based on a dual-fed asynchronous generator for high power?
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I used the same model to simulate MCNP5, but using different NPS can lead to different results, with two results nearly twice as different, and both results passing 10 all statistical checks.
May I ask who has encountered the same problem, how to solve it?
Doddy Kastanya Thank you for your answer. I have missed something maybe.
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Two widespread ways to characterise (or face) systems taking an SD perspective are:
• The dynamic complexity characteristics (Sterman 2000, 2001), such as governed by feedback, history-dependent, adaptive, counterintuitive.
• The open-loop vs. closed-loop view for system appreciation (Sterman 2000, 2001), where the second identifies systems as feedback-rich structures and accounts for the occurrence of side-effects and the actions of others to accommodate the potential outcomes of systems-change.
Nevertheless, there are some discussions in other areas (such as sustainability transitions) that I have not so far found a counterpart in the SD literature:
• Level of analysis/aggregation fo the system (micro, meso, macro perspectives)
• Boundary definitions in regard to the purpose of the system
• Timeframe definition for system investigation
• Any other way that might help analyse systems taking an SD perspective
Highly appreciate any thoughts shared.
References mentioned:
• Sterman, J. D. (2000). Business Dynamics: Systems Thinking and Modeling for a Complex World.
• Sterman, J. D. (2001). System Dynamics Modeling: Tools for Learning in a Complex World. Reprinted from the California Management Review, 43(4), 8–25. https://doi.org/10.2307/41166098
Dear Daniel Guzzo,
I suggest you see links on the topic.
Best regards
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I have a well-described planning problem at a conceptual level, and I know how to model it on software. However, I do not precisely know how to sufficiently document the discrete-event simulation model, which is the result in this case. For instance, do I need to describe the underlying deterministic model mathematically first? I appreciate any suggestion for a guide in regards to this issue. Leaving a comment with a reference for a good paper that does the same helps handsomely. Ideally, your example addresses a capacity planning problem.
Hello Mr Hafez, i have a paper that presents the results of a simulation. What i did is first explain the basics of my simulation, for example the map, map size, i had sources of cars so I added their explanations and a mathematical protocol of connection. You can also put the mathematical problem that you solve even before in the introduction and has a small detailed text from the state of the art.
Then i began presenting the variations and cases of my simulations and each one with its algorithm. Then the results of my simulations and discussion.
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What I'm trying to accomplish is detection of tumors using microwave imaging and I want to reconstruct the image using F-DMAS algorithm. However, at first I need the raw data which is the signals received in receiving antennas from the transmitting antenna. I need to have the amplitude of the received signal versus time ( which is practically the back-scattered signal). In this way I can export it to Matlab and after some post processing I would be able to locate the tumor.
I have tried to achieve this goal by using E-field probes at specific locations as receiving antennas but unfortunately I wasn't able to get the result that I was looking for.
I have attached a figure as an example of what it should be. and also a picture of my own simulation and the model.
Hi, did you get the images? Can you please tell me should I collect S21 data from CST as I have only two antennas (one transmitter and one receiver) with breast phantom? And after that, how can I get those images?
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We are struggling for gate leakage current simulation of MOS-HEMT using different barriers/oxide layers, can anybody guide us with sample Silvaco TCAD script for leakage models?
The current can supply externally with not any change in the existing current. In general, the leakage current wouldn't less inject external current won't affect performance.
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I want to understand carrier dynamics of different two dimensional materials.
Mohamed-Mourad Lafifi , Thank you very much. Those links helped me a lot.
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Dear friends,
I would like to know If someone here has sample code source of Cellular Automaton model for Grain Growth in matlab?
Masoud
There is existing the open-source code in C++ and Qt describing the principles of dynamic recrystallization that is rewritten code from my PhD thesis, where stress-strain oscillations and sensitivity to the initial mean brain size were explained for the first time.
Cellular Automaton Simulation of Dynamic Recrystallization: Introduction into Self-Organization and Emergence (video describing function of the program is available too):
and
Python code of the 'Game of Life'
The Python code is very useful in a quick understanding of the principles of CA modeling. Good luck at your work.
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I am using Abaqus/CAE for Laser Shock Processing (LSP), Can I import the simulated model file to Ansys Workbench for further analysis as I have to run two simulation for fatigue, FOD damage analysis? Firstly I need to execute the LSP simulation on ABAQUS and then use the same model for further fatigue Test.
hi
use external model and then connect it(drag and drop) to other modules that are needed
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Hi everyone,
I am working on the microscopy simulation with Zernike aberration recently. Here I unfortunately fail to correctly add Zernike aberration to the simulated model or retrieve the aberration through Transport of Intensity Equation (TIE).
The details of this problem is as follows,
Here I have simulated a target with 0-1 intensity as File 'Sample' depicted. I also have simulated the Zernike Polynomials, for exmaple with the 7th order as File 'Zernike' depicted. I also assume that the numerical aperture (NA) of the microscopy is 0.45, and the wavelength of the illuminated light is 193nm. However, what makes me upset is that the Sample and Zernike are in different coordinates. The former is in Space Coordinate from -1200nm to 1200nm, and the latter is in normalized Pupil Coordinate from -1 to 1.
So, I wonder how to make them unity or indentical in calculation.
Thanks a lot!
The following article might be useful
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Hello and good day!
I have simulated 1D stochastic differential model in R environment using Sim.DiffProc package. Purpose of research is to find suitable stochastic model for certain emissions data. Some of the relevant details of one of the model which includes simulated plots in R (showing simulated model mean,actual time series data for emissions, 200 simulated model trajectories and 95 percent confidence interval), parameter values based on pseudo maximum likelihood estimation, variance covariance matrix values for parameters have been attached. For model selection in relative terms Akaike Information Criteria and Bayesian Information Criteria have been used. Lowest AIC value model has been selected as suitable  model.
I want to know following:
If i want to carryout goodness to fit test in absolute terms (i.e. not model to  model comparison for selection of best model) what needs to be done?
Any comments,suggestions or shortcomings? (relevant details of one model attached). Can i consider this model valid in describing the emissions data?
Thanking in anticipation and best regards.
you should have a qualitative motivation to propose a specific model to fit a dataset, you do not just try models by chance. The models you propose possess a stationary distribution, while your dataset seems to suggest an illuminated growth. Have you considered this fact?
Some of your models could have problems if zero is reached, you should specify parameters range in which this does not happen and verify that your estimates are compatible
If you have a reason to model the data with one of the side you propose you'd better observe that for all your models the transition density is known in an explicit form. That means that you can do maximum likelihood (without PSEUDO!), and that you can also apply goodness of fit tests (if you really like). However, things are a bit long to discuss here and it seems that you need some guidance.
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I am interested in storm surge simulation modeling using Numerical Technique and searching for a suitable numerical error analysis technique.
Thank you Dr. Tekle Gemechu for your useful suggestion.
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I'm trying to build a simulation model that can represent the distribution of mercury in the coal combustion process in Aspen Plus. However, I don't know how to insert the amount of mercury, present from the coal composition, because in the "Component Attribute - Ultanal", there isn't a space to put the amount of mercury.
Does anyone know how I could represent the amount of mercury in this simulation?
Possibly you can just add it as a separate feedstock component, flowing at a rate that is proportional to the mass in the coal?
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How to make aero engine parametric performance and simulation model in SIMULINK?
Thank you so much for relevant information sharing.
With best regards
Thennavarajan S
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Hiiiiiii
Is there any simulation model of reverse osmosis the can use to evaluate total system .Excel sheet is preferred
Much chemical process modelling and/or simulation work can be done with the widely-used Microsoft’s Excel.
Application example ― Simulations carried in Excel 5.0 with Visual Basic for Applications (VBA) macros ― The recursive least squares algorithm (RLS) allows for (real-time) dynamical application of least squares regression to time series.
While investigating adaptive control and energetic optimization of aerobic fermenters, I have applied the RLS algorithm with forgetting factor (RLS-FF) to estimate the parameters from the KLa correlation, used to predict the O2 gas-liquid mass-transfer, while giving increased weight to most recent data. Estimates were improved by imposing sinusoidal disturbance to air flow and agitation speed (manipulated variables). The power dissipated by agitation was accessed by a torque meter. The proposed (adaptive) control algorithm compared favourably with PID. This investigation was reported at (MSc Thesis):
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I've read that "success in today’s manufacturing climate depends upon the implementation of multiple complimentary and proven management strategies".
my inquiry is about whether simulation modeling (maintenance simulation modeling ) is integrated with the TPM philosophy and how it is integrated or contributed to TPM in general?
The integration of the maintenance with the productive process planning is a particular problem of systems conciliation. It is needed to generate solutions population forr both maintenance and production process schedules. For each iteration of the conciliation algorithm it is needed to simulate its overall behaviour. I hope you understood me.
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I want to simulate residula stress in fused deposition modeling part. I am using ANSYS as a simulation tool. I want to devlop a simulation model that can work with complex geometries. Can you please let me know the starting point for such a simulation. Some referance related to such a simulation will be a great start for me.
Fused Deposition Modelling (FDM) is the technologies to build complex 3D prototypes directly from a computerized solid model. In this process, the model is built as a layer-by-layer deposition of a feedstock wire. The most important issues in the FDM process is the twisting of the part during the printing. This issue is due to the rapid heating and cooling cycles of the feedstock material that could produce accumulation of residual stress during part building up. The purpose is to measure the residual stress in FDM parts made of ABS employing the hole-drilling method. In order to avoid the local reinforcement of the strain gage, an optical technique, i.e. ESPI (electronic speckle pattern interferometry), is introduced to measure the displacement of the surface due to the stress relaxation. The effect of the stacking sequence and the residual stress distribution on each side of the specimen is interesting.
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I am trying to develop a simulation-based optimization model. I have built a discrete event simulation model on ARENA with all of its detail. At this time I am going to use a novel simulation strategy (develop based on Ant colony) which is written in MATLAB to optimize my simulation model. However, I know there is OptQuest package in ARENA for optimization but it is a black box which means it does not let you change it for your own optimization strategy. I would like to know how can I call the simulation model (Arena) in MATLAB for optimizing my simulation model. Do you think is there ay solution?
Did you find any way to connect these two programs?
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Assume we have 5 service blocks in a system that requires the same resource unit. Say service block A and service block B have a service time of 1 minute each. Now I decide to combine these two blocks calling it service block X with a service time of 2 minutes. What should happen to the overall service time of the system? Will it go lower or will it remain the same? and why? Any proof from literature?
My experiment shows that the overall service time reduced.
It will stay the same. No proof needed, it's obvious, but you can try it in simulation software - that is a good way to develope intuition about discrete event simulation.
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The use of optimization models is most effective in determining the General parameters of the physical phenomena. Such models can greatly simplify the reality. At the same time, the use of optimization models is of undoubted practical importance, since it helps to identify the fundamental relationships between goals and measurement tools. The optimization model can serve as a starting point for constructing a simulation model of decision - making, which fully meets the research problems and the limitations imposed on it.
Dr. Boris Michailovich Menin, I have an example where the criteria are given with symmetry arguments, relying on the thermodynamics of the free energy of a physical system, the phase transition theory of Acad. L. Landau * and E. Lifshitz (1937):
• Ferro/Antiferromagnetics,
• Ferroelectrics.
• Superconductors.
• Superfluids.
• Liquid crystals.
Please check the Wikipedia commons article, and also the original paper.
https://en.wikipedia.org/wiki/Landau_theory
There is a link to the original article:
* L. Landau Zh. Eksp. Teor. Fiz. 7, pp. 19–32 (1937)
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I want to use BSM to define some indexes related to cost and quality of wastewater treatment. is there any ready BSM model template in Matlab for example. could you plz help me?
I do not know whether there are templates in BioWin. If possible, however, you can send e-mails to the authors of this book for help:
Benchmarking of Control Strategies for Wastewater Treatment Plants
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Hi I have been simulating and optimizing the parameter of Piezoceramic disk.. I see that in my simulation results the difference between resonance and antiresonance frequency is around 29 Khz while for experimental is around 45 Khz. Because of this if i make curve fit at resonance there is no matching in Antiresonance part and if i make curve fit at Antiresonance the curve doesnot match at resonance. What could be the problem? How can i make the span of my simulation curve equal to the experimental one? What parameters affects on increasing the span in my simulation model? Any help and suggestion please
Hello to those who wants to know about this. Its about tuning the material parameter of piezo ceramics correctly . This will solve the problem.
Thanks
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I'm looking for correlation for density and viscosity of sodium hydroxide in function of concentration and temperature in range of 0-140 degrees Celsius?
Pdf is not opening
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The simulation models can't be run in my EMTP-RV. I think this is due to my old version of EMTP-RV which is 2.0.2. Is there any chance you have the models extracted in a way so that my EMTP-RV could load them? Thanks.
I now have EMTP-RV version 4, so no problem now.
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any one can provide me such articles which completely compare the dssat to other crop simulation model
Dear Rabia,
Have a look at these ones:
These are some of the alternatives, I hope you may find it useful.
Thanks
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I come across many reactions like A + B --> products.
How to consider "products" as a species and solve the kinetics in simulation/modelling, as such the reaction is unbalanced by logic of chemistry.
That is the weakness of lumping: The mass balance of components requires information on the product composition, which is not accessible after lumping. One might use average values for the products, such as molar mass or density. Those average values, however, depend on the composition, which is not known after lumping. The mass balance consequently contains errors. Therefore it is probably more meaningful to go for molar balances assuming constant density or flow rate (note that appropriate assumptions depend on the specific problem).
In general the applicability of lumping always depends on the accuracy required, which is defined in the problem statement. Therefore it has to be clear, which kind of assumptions are appropriate (e.g. constant density, flow rate, etc.). Furthermore, none of the products should affect the kinetics of the involved reactions.
Please also keep in mind that your question is rather generic and can't be answered in general, as the answer always depends on the specific problem.
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I am trying to simulate the theory-based catching-up process in different economies. Is there any software or even a package in R or python that can help me in building my simulation model?
May be try to use Eveiws. It works with many economics models.
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I want to know about some simulation/modelling softwares for OSC's. Actually I have some experimental data of inverted OSCs and based on that data i want to do some modelling/simulation.
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Hi guys
I want to make a simulation modelling of a Lithium 7.4V 1500mAh RC car battery, showing the state of charge. i have all the specs of the charger and i want to plot a graph showing Voltage, Current and state of charge.
I am new to this stuff, could anybody give me some information on this ? or if anybody has a similar model, i would really appreciate the help
Thank you
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for my simulation model, I am looking for the temperature coefficients of batteries. Any help is welcome, if you link me with the corresponding article, I will use it as a reference.
Thank you
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Hi all,
First of all, I'm sorry for my English :)
I'm studying on GPS modeling in Matlab/Simulink and new to this area. When I look at some sensor datasheets for noise error parameters like standard deviation, correlation time etc., I couldnt find it from datasheets. Does anyone know about it?
Also, I found a book on GPS modeling. Parameters' values are given in this book as in the attached picture. When applying this parameters to my simulation model, it doesn't work properly.
GPS error is mostly depends on the number of satellites seen by the sensor and the environment reflection.
regards
Reza
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Hi all researchers, I was found many in notes and books that state as "Rosseland model is cheaper and more efficient. The DTRM and the DO model work across the range of optical thicknesses, but are substantially more expensive to use".
However, i'm not understand what meaning of the cheaper and expensive in particular radiation model in the sentence as it just a simulation model in CFD. I hope some one will help me to clear on this statement.
As Jean mentions, computational cost is correct. The cost to run a model is a combination of run-time and actual cost in \$/CPU-hr. Rosseland is a simpler modeling approach for radiation heat transfer. This is a general issue that must be thought through carefully when building any model.
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Many of us have used or read about simulation models that predict impacts of climate changes on crop production. The bases of these models are the results of experiments that were carried out in closed systems (very artificial growth conditions) and/or more recently FACE (Free Air CO2 Enrichment) experiments which is more close to natural system. However, even with FACE experiments which focus more on CO2 elevation, there is still the effect of higher wind speed in this experiment that may increase water loss by the plant and/or the air temperature that may not represent the natural conditions. This results somehow on overestimation of some plant parameters and underestimation of others.
So, how far can we rely on the results of these simulation models in predicting the impact of climate changes on crop production?
With time the models are getting robust.
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1. I have confusion in understanding that what is meant by wide-band here.
My understanding is as follows
• In case if Carrier Bandwidth of LTE channel is 10 MHz,total bandwidth is 10 MHz and hence RSSI is calculated for all the all the Resource blocks i.e. 50 RB
• Each RB has 12 subcarriers. Hence for 10 MHz channel, 50 RB are dedicated => 12x50 = 60 subchannels
• Finally (Assuming same Pt for all subcarrier) Pr = Pt*(c/4*pi*d*F*)2 . What is the F should I put and is this the right way to calculate the Pr? In my opinions F = 15KhZ. Where Pr is Received Power per subcarrier by UE. (Using
• Finally RSSI = Pr*12*50  [ or dBm 10*log10(Pr) + 10*log10(12*50) ]
2. Or RSSI is calculated in any different way in simulation / How can I make simulation model to calculate RSSI. Do I have to make a model with a complete RB with all Resource Elements (RE). If yes, then do I need to do the scheduling as well?
3. How can I calculate SINR with RSSI?
Thanks
Shan
I do have the exact same problem regarding the choice of frequency to calculate RSSI.
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I am working on cooja simulation(Contiki OS). I would like to validate my simulation model with real time work. Is the possible? How? Kindly help
If you want a formal verification, since you already have the simulation model, you can take a look at "model checking" in order to validate some properties of your simulation model.
Some references:
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Hi all!
I am looking for suggestions of papers regarding the study of community dynamics with field data. Most of the ones that I have are theoretical, and/or based on even experiments in silico or in vitro containing heavy math simulations and modeling.
I wonder if and where theories (like storage effect, carousel model, compensatory dynamics, stabilizing effects, synchronicity ...) were tested in situ.
Hi Felicia! Here are some papers!
Lipoma, M. L., Gurvich, D. E., Urcelay, C., & Díaz, S. (2016). Plant community resilience in the face of fire: experimental evidence from a semi‐arid shrubland. Austral ecology, 41(5), 501-511.
The next ones I am sure you know them, but just in case.
MacGillivray C. W., Grime J. P. & The integrated screening programme
(ISP) team (1995) Testing predictions of the
resistance and resilience of vegetation subject to extreme
events. Funct. Ecol. 9, 640–9.
Sankaran M. & McNaughton S. J. (1999) Determinants of biodiversity
regulate compositional stability of communities.
Nature 401, 691–3.
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I'm looking for a microgrid simulation model written in simulink in order to implement my simulation data and test my Energy Management System algorithm.
The microgrid I am looking forward is a DC grid connected microgrid equipped with a battery ESS and a PV system other than the loads.
Any suggestion?
Thank you very much!
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We have a complex simulation model with several inputs, outputs and states. Let’s say we variate the independent inputs t, u and v and simulate several states and record them in stationary condition (Time independent analysis)
(t , u, v )-> (A,B,C,D).
A, B,C, and D all are time independent and a function of (t,u,v)
I would like to build a look-up table by which C can be calculated via A and B. Numerically it is an easy task. I calculate my states for all possible combinations of t, u and v and see if for each A and B pair I get only one specific value of C. If my look-up table C(A,B) is smooth enough, I would say that A and B are enough for determination of C.
1- Is there any mathematical property to describe the causation here?Something like "probability Distribution of correctness"P(x,x0) when i calculate C(x0) for A(x0) and B(x0). It can also be (better) a single average value for correctness.
2- How can I technically call this “probability/value of correctness”? t,u,v, A, B,C ,D are not time dependent, can I still use the term causation here? In which field of study should I start making myself clever? (Path analysis, Regression analysis, etc.)
I'm not sure if I fully understood your problem but it looks like Multivariate Statistics could be helpful. Check prosensus.com or the tool ProMV from aspentech.com.
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dear researchers,
fog computing is an emergent field.
computing resource allocation in one the issues that should be investigated.
my request is as follows:
is there any simulation models for creating a computing resource allocation framework in fog computing environement?
please, if it would be possible some insights on a standalone simulator for creating a vehicular fog/edge computing environment.
any ideas, techical reports or tutorials that can help i'll be so grateful
Best Regards
Dear Ossama,
I suggest you to see links and attached files on topic.
A Taxonomy for Management and Optimization of Multiple Resources ...
A Truthful Online Mechanism for Allocating Fog Computing Resources
www.ifaamas.org › Proceedings › aamas2019 › pdfs
Best regards
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How to insert transmit azimuth and elevation angles in received azimuth angles alpha and beta in this impulse response of simulation model. I am not understanding the concept. Let say there are three rays with three scatters . Each ray having azimuth and elevation angles alpha and beta then what is mean angle represented by x0? Does it mean taking the average of three different azimuth/ elevation angles? And where do we need to insert the Von Mises formula for simulation model for channel modeling. Can anyone explain a little bit of simulation model when we have azimuth/elevation angles at transmitter side and receiver side with some simple example ?
Ok, but this is about setting a preliminary model and working with this model. I found you a research article that you may consider relevant. The mathematics is pretty "heavy" but in my own words, you should obtain "predicted" set of coordinates of rays that belong to your simulated model of Von M. and then you should run experiments to use multivariatve analyses if a 3D point belongs/or not to your simulated model (i.e. set of your preliminary 3D points). Of course, you should place a tolerance (say 5%) to establish hit/miss in the model test. Here is an article: http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.511.6330&rep=rep1&type=pdf
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Questions frequently asked all the time , what are the big challenges/problem that some researchers may face during elaboration the experimental systems basing on theoretical simulated model on simulink ?
Recentely i experienced a similar issue , one of the most drawback that we face during experimental realisation is the electrical hardware operation limitation such as (on/off frequenecy and sample time )and undesired effects that can be signal noises or/and sensors non linearity
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When a three phase supply fed from an inverter is fed to an induction motor, the speed curve in the scope shows a negative speed.Should the value entered for torque should be in negative?
As friends said, over damped load and higher voltage over limit one supplement causes negative result which in physics lingual negative describe direction.
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I need basics to develop the MATLAB simulation model for diabetes patients in type1 and type2. So please provide some simulation models or links to learn and develop
these files can be helpful. at the end of pdf you can find related matlab codes as well.
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Please provide me simulation models in MATLAB for artificial pancreas,Glucose insulin modelling
Also some tutorials or videos or files to learn development of Artificial pancreas simulation
I recommend to you read my book: Applied Biomechatronics Using Mathematical Models (more info in link: www.garzaulloa.org). On Chapter 5 Methods to develop mathematical models: traditional statistical analysis: On section 5.17 There is a complete example of SPECIAL APPLICATION OF MATHEMATICAL MODELS FOR ANALYSIS OF CONTINUOUS GLUCOSE MONITOR FOR DIABETIC SUBJECTS. The free dataset can be downloaded in the link: https://data.mendeley.com/datasets/6nw9crk4j9/1
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When we write a code to simulate numerically the reinforced concrete members, always we think to increase the accuracy of our proposed model, in this regard always we face the following question:
How apply the three-dimensional constitutive laws instead of uni-axial constitutive laws for confined/unconfined/steel elements in numerical simulation modeling of the reinforced concrete members. Which 3-D models are suitable to apply for this purpose?
I have developed a computer program (software) and I want implement suitable 3-D constitutive laws for materials in it, I do not want to apply the ready-made software developed by others. If you have a solution for it I will appreciate you.
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Hello Sir / Ma'am
I am currently doing research on Numerical simulation and modeling on hydrodynamic vortex separator, and using a research paper as reference model. When i go along the research and run the case file in the fluent.15.0 use the same geometry and my mesh quality is also good i apply same method & conditions but could n't get similar values of results and also same trends of graphs of the reference paper. I tried many times change different methods and boundary parameters, but could not succeed. Could some one help me asap. reply back
You potentially should consider the possibility, that the published result in the reference paper is simply wrong, in particular if the underlying research is published in a conference proceedings volume or in a scientific journal with not 100% well known excellence of there scientific paper review procedure.
In addition I would like to encourage you to:
a) Use a contemporary version of ANSYS Fluent, i.e. not a 6 years old version of ANSYS Fluent, but version 2019.R1. In the meanwhile dozens of known errors have been corrected in ANSYS Fluent over that period of time.
b) Vortex separators are known to be sensitive to the results of turbulence models. Which turbulence model are you using? If the flow has strong streamline curvature and swirl, use a k-omega-based BSL RSM turbulence model. If you can afford, try to do scale-resolving simulation using SAS-SST or SBES model for comparison with your first result. Are the results still the same (in time-averaged data with sufficient statistical reliability)?
c) Give it a trial and run the model in a different CFD code for verification. With only a little effort that can be done in ANSYS CFX. With a bit more effort in e.g. OpenFoam. Are the results the same? Trends the same? Is either one of the solvers giving an answer which corresponds with the reference publication?
By that you could try to narrow down the issue to its source.
Regards,
Dr. Th. Frank.
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Would be grateful so much for a link.
I found some single publications, but topic is quite new for me, so I wanna find some book or big review paper.
Focus should be given on how to correctly model that, so I am eager to look at publications of the end of previous (some classical ones) and of current century.
The interest is also in simulation modelling using Monte Carlo algorythms.
Thank you for attention and possible support.
Check the ff:
1. Reineke (1933)
2. Pretzch (2009) - Forest Growth and Yield.
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I am aiming to create a new security framework and applying it by doing some programming and modification on Linux open source operating system.
My question here, i don't know what to call this kind of research study, is it qualitative modeling, or qualitative simulation modeling or what is it exactly?
That will be demonstrated by modifying the existed linux os and apply some kernel modification change build some codes to control the flow of process execution.. etc..
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Hi all,
hope you are doing well.
Can one shortly explain what are the main ideas of inverse simulation and model inversion, in control theory.
And maybe suggest a good book for inverse simulation, with applications in engineering or/and visual computing.
I'm exploring the articles you provided, and that is the direction I wanted to get.
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• Like I used ANN controller in DFIG associated with small hydro power plant, I am used ANN controller in rotor current in q-axis for controlling the active power and in d-axis for controlling the reactive power. But the mean square error is coming around 3000 .is it correct or not?
yes, it is depend on the controller of stimulation
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I am looking for a simulation tool to simulate Veicaler Ad-hoc Network or VANET. What are the main QoS Requirements in VANETs.
Please anyone have VANET mobility model in matlab .Manhattan and freeway
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Dear experts,
I want to simulate a system of 2 separate antennas with two rectifiers (I call them 2 branches). Please have a look at the file attached. They are connected in parallel to a load. The input RF power to 2 antennas are set to the same, Pin. Here are my questions:
1/ Is it correct when I keep Pin1 = Pin2 = Pin?
2/ The output power Pout = sqr(Vout)/RL is not improved than that of each branch when simulated independently. It is explained by the output voltage being the same for 2 branches. But if this is true, why do people still use this kind of combination? With this result, using 1 branch is much better because the cost is reduced while the results are still the same! I suppose there are some errors in my simulations or my equations.
1) If the configuration is parallel, shouldn't you use Pin/2 instead of Pin?
2) What do you mean by: people still use this kind of combination. could you explain a bit about the application of this configuration?
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Joint constraint systems are essential components of anatomical models, ensuring the correct movement of limbs during simulation. In computer vision applications anatomical models (or priors) are fitted to recovered image or motion capture data. Anatomical models are also used in biomechanical simulations to model patients and in ergonomics modelling average individuals. Dynamics-based models are increasingly used in biomechanics and rehabilitation research in bimodal approaches combining biomechanical models with experimental data (e.g. measured external forces) .
Papers:
Y. Jiang and C. K. Liu, “Data-driven approach to simulating realistic human joint constraints,” in IEEE International Conference on Robotics and Automation (ICRA), vol. abs/1709.08685, May 2018.
G. L. Jenkins, G. Roger, M. E. Dacey, and T. Bashford, “A rigid map neural network for anatomical joint constraint modelling,” in 18th International UKSim Conference on Computer Modelling and Simulation, Cambridge, UK, April 2016.
L. Zhu, X. Hu, and L. Kavan, “Adaptable anatomical models for realistic bone motion reconstruction,” in Computer Graphics Forum, vol. 34, no. 2. Wiley Online Library, 2015, pp. 459–471.
It can be used other metrics that are related with similar approaches
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I wan want to simulate the the Wind Turbine (DFIG) for frequency studies (Load Frequency Control). I have found the attached model and needs help to accurately simulate this model in Matlab/Simulink.
I agree with
Rabeh Abbassi
and you can use a look up table to implement it after you know the relationship.
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How to keep researchers right by use their experimental study
It really depends on the type of modelling you are doing. If you are you are doing the biochemical modelling of photosynthesis, you can try different Rubisco kinetics (published data for different species) and compare your modelled response with the measured.
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I am trying to use PSO technique for tuning my PID controller used in my process. I am having PSO code and simulation model of my process. How can I do it?. Please elaborate the procedure of it.
Following
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We are working on modeling optimization of small micro grid model and need real time data of power consumption in single house hold as well as PV usage profile over a year in Europe ?
Looking for more real-time dataset (.xls or .csv time series data or to evaluate matlab simulation models ( daily household load or user)