Scalable Cross-Platform Software Design Java

发布时间：2024年01月15日
Scalable Cross-Platform Software Design:
Coursework#3 – Assessment on JAVA and GUI Topic
25% of the module mark.
Read the marking scheme on Moodle to familiarised with what I am looking for.
Coursework Instructions ( you may be penalised if not following the instruction given ):
1. Please submit as a single zip file which contains the whole NetBeans project folder
and a brief report (max 8 pages).
2. Only one NetBeans project encompassing all tasks to be submitted—not separate
Netbeans project for each Question.
3. The NetBeans project must be prepared using JDK v8 and JavaFX v8 and should run in?my PC without modification. (how to install documents are in Moodle)
4. Graphical User Interface (GUI) will based on JavaFX v8 platform
5. The report will describe the answer for each Questions, i.e., class name and their?purpose, and evidence to convince the client that it works correctly.
Document date: 20/09/2023
Context description
A well-known Aerospace company AirCoach requests you to design and implement?software with a user-friendly user interface to be integrated with their optical roughness sensing device. Their plan is to use the optical roughness device to measure “how smooth” the inner-lining of the inner engine cylinder of their new flagship plane Nimbus 2023. As they found from simulation that roughness of the engine cylinder degrades the engine’s efficiency, lifetime, and increases carbon and noise emission.
Your task is to develop the accompanying software for the optical roughness device. The engineer has described that this device will output a text file which lists the roughness as the deviation 𝛿 in the unit of meter from an ideal circle (see Fig. 1).
For illustration purposes, the first few lines of such text file are given in Fig. 2,
Specifically, your JAVA application should:
1. Has a user-friendly user interface.
2. Streaming from the text file, to have the text file as an input.
( Do not hard-coded the text file, I may test your code with different .txt file )
3. Calculate the mean, variance, median and standard deviation of 𝛿
4. Plot the normalised histogram of the deviation 𝛿, with an option to choose
different bin method.
5. Fit and plot the histogram with a Probability Density Function model (PDF).
6. Save the histogram and the fitted PDF as a Bitmap png file.
7. The software should also display the fitting parameters. For example: 𝛼, 𝜇 and 𝜎 for Normal Probability Density Function (see Review on the mathematics 3).
文章来源:https://blog.csdn.net/2301_81917451/article/details/135594428
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