Simulation Modeling - Science topic

Hi Everyone,

For a simulation model, we are looking for the survival rates of adult and fledgling great tits across Europe. If any of you can please direct me to some resources of such data, it will be highly appreciated.

Many thanks,

Shai Markman

A crop simulation model (e.g., DSSAT, APSIM) was used to predict the long-term impacts of climate change on crop yields. The model was calibrated and validated using field experiment data and historical yield records. Future scenarios were simulated under different RCPs to evaluate potential adaptation strategies.

How to make a simulation model of railway track for its dynamic analysis? what is the best strategy? please guide step by step and which software tool is recommended for this task?

I am interested in doing some simulation modelling exercises based on our newly established agrivoltaic systems facility. In this agrivoltaic setup, located at AU Viborg, Denmark, we cultivate winter wheat, grass-clover and blue lupin in a standard rotation.

We are still brainstorming on how we should go about it. However, the idea is to use simulation modelling to circumvent some of the challenges we have in our agrivoltaic system setup (e.g. few treatment replicates, lack of long-term data, etc.). I have some experience with the APSIM framework. I see some people have already used it to model crops in agrivoltaic systems [(1) biomass growth in different agrivoltaic systems in Australia: Al Mamun et al. (2023) "Biomass production of a sub-tropical grass under different photovoltaic installations using different grazing strategies" (2) rice yield and quality in three different agrivoltaic systems (fixed tilted, horizontal and vertical) at different locations: Ahmed et al. (2022) "Agrivoltaics analysis in a techno-economic framework: Understanding why agrivoltaics on rice will always be profitable"].

Several adaptive modules seem to already exist in the 'next generation' APSIM, for instance, used in agroforestry modelling and other complex integrated crop-soil-atmosphere systems.

My primary interest is in modelling spatiotemporal dynamics in microclimate – with a focus on soil moisture, light intensity and quality (i.e. 'shade' and PAR). The aim is to provide a better process-based understanding of some of the factors playing a role in (seasonal and long-term) crop yield and quality in agrivoltaic systems.

Ideally, we would like to use the simulation modelling exercise parallel to the empirical field experiment data, so that we can gather data for model calibration and validation as the project goes along.

Any thoughts on this approach is highly welcomed. Any experience in using APSIM for agrivoltaic systems? Or suggestions as to how I could approach it?

Any useful tips are welcome!

Looking forward to this discussion.

#Agrivoltaics #AgriPV #Agriphotovoltaics

Kind regards,

Magnus Kamau Katana Lindhardt

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.

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?

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).

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?

Much gratitude in advance,

Jonas

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).

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?

Thank you in advance.

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:

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?

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:

What is your opinion on this issue?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Best wishes,

Dariusz Prokopowicz

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

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

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.

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

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.

Thank you for your time.

Does anyone know about contrafactual statistical simulation models, and can you recommend a reference book for me?

Thanks

Who has a simulation model of a wind turbine based on a dual-fed asynchronous generator for high power?

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?

Two widespread ways to characterise (or face) systems taking an SD perspective are:

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:

Highly appreciate any thoughts shared.

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.

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.

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?

I want to understand carrier dynamics of different two dimensional materials.

I would like to know If someone here has sample code source of Cellular Automaton model for Grain Growth in matlab?

Your helps are appreciated

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 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!

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.

Saad Sharjeel

I am interested in storm surge simulation modeling using Numerical Technique and searching for a suitable numerical error analysis technique.

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?

How to make aero engine parametric performance and simulation model in SIMULINK?

Hiiiiiii

Is there any simulation model of reverse osmosis the can use to evaluate total system .Excel sheet is preferred

Please Help

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?

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.

Thank you in advance.

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?

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.

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.

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?

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

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?

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.

any one can provide me such articles which completely compare the dssat to other crop simulation model

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.

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?

Thanks in advance.

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.

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

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.

Thanks in advance,

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.

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?

The Definition of RSSI is 'Total received wide-band power by UE'

1. I have confusion in understanding that what is meant by wide-band here.

My understanding is as follows

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 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

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.

Thanks for your help!

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!

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.)

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

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 ?

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 ?

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?

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

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

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?

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

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.

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?

Please explain.

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.

Thanks in advance,

I am looking for a simulation tool to simulate Veicaler Ad-hoc Network or VANET. What are the main QoS Requirements in VANETs.

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.

Please give me some advice. Thank you very much.

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.