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Ovaj rad istražuje korišćenje Nadgrađenih Petri-mreža i dvonivovskog algoritma za detekciju ivica u modelovanju, simulaciji, detekciji i analizi pilinga na tekstilu.
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Identify the problem you want to solve or analyze.
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Define parameters and variables that will influence the model.
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Set up the simulation environment according to the chosen framework.
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Run preliminary tests to ensure the model behaves as expected.
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Conduct the simulation by inputting the defined parameters.
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Modeling simulation and analysis is a process used to create a digital representation of a system or process in order to study its behavior under various conditions and to evaluate potential outcomes.
Individuals or organizations involved in industries that require regulatory compliance, such as pharmaceuticals, engineering, or environmental science, are often required to file modeling simulation and analysis.
To fill out modeling simulation and analysis, one must gather data, define the objectives, create a model using appropriate software, conduct simulations, and compile the results into a report format that meets regulatory standards.
The purpose of modeling simulation and analysis is to assess the performance of systems, predict outcomes, conduct risk assessments, optimize processes, and support decision-making.
The information that must be reported includes the objectives of the simulation, methodology, data sources, assumptions made, results obtained, and any conclusions drawn from the analysis.
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