Software程序设计代做、JAVA编程设计调试、JAVA语言程序代写

日期：2021-01-29 11:41

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:

1. Please submit as a single zip file which contains the whole NetBeans project folder

and a brief report (max 10 pages).

2. The NetBeans project should be prepared using JDK v8 and JavaFX v8 and should run

in my PC without modification. (how to install documents are in Moodle)

3. Graphical User Interface (GUI) will based on JavaFX v8 platform

4. 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: 20/09/2020

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

metrology 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

2021. As they found from simulation that roughness of the engine cylinder degrades the

engine’s efficiency, lifetime, and increases carbon and noise emission.

Figure 1 Illustration of the cylinder and the roughness on the surface of an engine cylinder.

2

You have been supplied with the manual of the optical roughness metrology device

which describes with the working principle of the device. You note that the most

important aspect which related to your task, to develop the accompanying software, is

that the device will output a text file which lists the roughness as the deviation ?? 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,

6.000199e-05

-4.671694e-05

-1.083731e-04

-1.894823e-04

1.119588e-04

…

Figure 2 Few lines of the content of the measurement device in the unit of meter.

Specifically, the engine designers need the following information from the measurements

and wish that your software can provide it,

1. Has a user-friendly user interface

2. Streaming from the text file, to have the text file as an input

3. Calculate the mean, variance, median and standard deviation of ??

4. Plot the normalised histogram of the deviation ??, 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: ??, ?? and ??

for Normal Probability Density Function (Advice 3).

This is the context of the coursework.

You will work on this coursework through a step-by-step following the Questions given

in the following. Going through the Questions in-sequence will help you through

finishing the coursework.

Mark will be given for each Questions and its corresponding Tasks.

3

Question 1: [Mark 10%]

Develop a JAVA package called binmethod which contains the implementation of

Square root choice, Sturge’s and Rice rule bin rule formulae (see Review on the

mathematics 1 box). The package will comprise of three concrete classes (i.e. the three

bin rule formulae) and an Abstract Parent class called BinFormulae.

The client code Unit_test_binmethod.java will drive your code to compute the

number of bins for different bin rule formulae.

Unit_test_binmethod.java

/*

Client code to test the binmethod package

*/

import java.util.List;

import java.util.Arrays;

// the bin rule formulae must be implemented in binmethod package

import binmethod.*;

public class Unit_test_binmethod

{

public static void main(String[] args) {

// Create array of data

List<Double> exampleData = Arrays.asList(1., 2., 3., 4., 5., 6., 7., 8., 9., 10.,11.);

// test SturgesFormula class

SturgesFormula SturgesInstance = new SturgesFormula(exampleData);

SturgesInstance.calculateNumberOfBins();

System.out.printf("By Sturges Formula: %d \n", SturgesInstance.getNumberOfBins());

// test SquareRootChoice class

SquareRootChoice SquareRootChoiceInstance = new SquareRootChoice(exampleData);

SquareRootChoiceInstance.calculateNumberOfBins();

System.out.printf("By Square Root Formula: %d \n", SquareRootChoiceInstance.getNumberOfBins());

// test RiceRule class

RiceRule RiceRuleInstance = new RiceRule(exampleData);

RiceRuleInstance.calculateNumberOfBins();

System.out.printf("By Rice Rule Formula: %d \n", RiceRuleInstance.getNumberOfBins());

}

}

Task 1a: Draw and discuss an UML diagram which show the member and the relations

between classes in the binmethod package.

Task 1b: Implement the classes so that the Unit_test_binmethod.java client

code will drive your code.

Review on the mathematics 1

In statistics, histogram is used to present the distribution of certain distributed data

into several clusters. For example, the distribution of income in the country or the

number of CoV-19 cases.

4

The first step in drawing a histogram is to “bin” the data into several cluster of value

marker, i.e. salary range or time in the examples given above.

There are several ways to determine the “number of bin” and there is no best way to

decide the “bin-width” or the “number of bin” as different “bin-width” or the “number

of bin” may reveal different features of data. In general, a good bin should

? Bins should be all the same size. See below how to calculate the bin size.

? Bins should include all the data.

It is common to display histogram using different bin number which can be calculated

using:

? Square root choice formula

?? = √??

? Sturge’s formula

?? = 3.3 log ?? + 1

? Rice rule formula

?? = 2√??

3

where, ?? is the number of bins, ?? is the total number of observation/measurement

data and log() is natural logarithm operator.

Question 2: [Mark 30%]

Task 2a: Develop a package named statutils which has the capability to calculate

basic statistical figures (i.e. mean, variance, max, min, median and standard deviation).

Task 2b: Add a capability to count the number of data in each bin.

5

Task 2c: Add a capability to perform histogram normalisation (see Review on the

mathematics 2 box).

Task 2d: Write client class with a main function which perform the unit testing of the

member functions, similar to the Unit_test_binmethod.java.

Task 2e: Draw and discuss an UML diagram which show the member of the class,

including their input and output arguments.

You may make several classes to perform Task 2a – Task 2d and

they should all in the statutils package.

Review on the mathematics 2

A histogram show “how many times” a certain value is observed from measurement,

i.e. frequency of data. Thus, its magnitude changes depending on the total number of

measurements. This type-of histogram is called un-normalised histogram.

A normalised histogram, on the other hand, shows what is the probability of a certain

value will be observed if there is an infinite number of measurements. Mathematically,

this means that the area under the curve is equal to 1. In most cases, a normalised

histogram is more useful than the un-normalised histogram in representing a large

measurement data as is our task.

Normalised frequency is obtained by dividing the number of observation in each bin by

the unnormalized_data_count*bin_size, where the bin_width = (max(measurement

data) - min(measurement data))/k and k is the “number of bins”.

Question 3: [Mark 10%]

Task 3a: Develop a package named mathutils in which contains a class to perform

data fitting. The class will have static member functions to calculate the fitting

parameters of the histogram (i.e. ??, ??, and ?? parameters in the Review on the

mathematics 3 box). The static function will use GaussianCurveFitter class

implemented within the commons-math library from Apache.

Review on the mathematics 3

6

You need a normalised histogram to fit with a Probability Density Function (PDF). In our

case, Normal PDF is appropriate and is given by

where the PDF parameters are,

?? is the normalisation coefficient

?? is the centre of the PDF

?? is the width of the PDF.

There are several ways to fit the histogram to a PDF, the most well-known method is

called Levenberg-Marquardt method.

Figure shows an example of an unnormalised histogram (left) and normalised with

fitted Normal PDF (right).

WE ARE NOT GOING INTO THE DETAIL OF MARQUARDT METHOD. IT IS QUITE MATHEMATICAL AND

OUT OF THE SCOPE OF THE MODULE.

I HAVE PROVIDED A NETBEANS PROJECT IN MOODLE IN WHICH I DEMONSTRATE THE USE OF WELLDEVELOPED

OPEN-SOURCED LIBRARY FROM APACHE WHICH IMPLEMENT THE MARQUARDT

METHOD. DOCUMENTATION OF THE LIBRARY CAN BE SEEN IN

http://commons.apache.org/proper/commons-math/apidocs/overview-summary.html

Question 4: [Mark 35%]

Task 4a: Develop and implement an operational Graphical User Interface application

satisfying the client request:

1. Has a user-friendly user interface

2. Streaming from the text file, to have the text file as an input

7

3. Calculate and display the mean, variance, median and standard deviation of

measurement data ??

4. Plot the normalised histogram of the deviation ??, 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: ??, ?? and ??

for Normal Probability Density Function (Advice 3).

Task 4b: Draw the hierarchical order of the GUI nodes.

Task 4c: Draw and discuss the GUI Event Handling UML diagrams of your app.

Good Programming Practice - [Mark 15%]

Detail on expected good programming practice is given in the rubric

End of document.