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Assessment 2b: Tasks and Template

   

Added on  2023-06-04

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Assessment 2b: Tasks and Template
Assessment 2b:
Questions and Template
Version 1.0
EGH404: Research in Engineering Practice
4 June 2023
About this document
This document sets out the six (6) questions you are to complete for Assessment 2b.
It also provides the template for your responses.
Your tasks for Assessment 2b
1. Read and answer the questions in this document
a. We will mark your submission based on the quality of your answers.
(1) We recommend that you use Matlab “Statistics and Machine
Learning” Toolbox or similar for calculation and visualisation.
(2) You may use Excel but we do not believe it has the capability to
address all elements of this Assessment.
b. You may manually edit the graphics that you generate for Questions 2 and 3—
sometimes a precise layout or effect may be difficult to achieve directly from a
plotting package
2. Edit your responses into this document
a. Replace the text in blue italics with your responses
b. Associated data and original graphs are provided separately in an Excel
spreadsheet.
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Assessment 2b: Tasks and Template
3. You will submit your responses to this assessment as a PDF or word document which
you will upload to turnitin. Your document should include:
a. This template with responses for each question included in the corresponding
section.
b. Your original source code (ie. Matlab scripts) which you generated to
complete relevant questions, included either after each question or at the end
of the document as an appendix (copy and paste the code into the document,
or if using live scripts merge the document PDF with the exported live script
PDF). Please note your Matlab code will not be run except under exceptional
circumstances but may be used to evaluate the process that you used to answer
the question.
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Assessment 2b: Tasks and Template
Question 1
You work for a consulting engineering firm who has been contracted by the Australian
Border Force to evaluate two commercial solutions which are being considered for the next
generation border control system. This system utilises iris recognition to verify individuals as
they enter the country through international airports.
The system employs verification only: a person presents their passport; the system then
checks to see if the identity of the person matches the identity of the person named on the
passport. This match is conducted by comparing an iris image of the person taken at the
border, with the iris image stored on their e-passport.
In the border control system, the verification test has two outcomes:
1. V+: the person is verified (i.e., their iris image taken at the border matches that stored
on their e-passport); or
2. V-: the person is not verified.
In reality, the person could be:
1. P+: a genuine traveller, who has their own unique and valid passport; or
2. P-: an imposter, who is not genuine and has a fake or stolen passport (for example).
Solution
Each commercial solution has strengths and weaknesses. The specifications released by the
commercial providers are given in the table below. It is also known from historical data that
the probability of a person being an imposter is 0.12%.
Commercial Solution Solution 1 – Solution 2 –
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Assessment 2b: Tasks and Template
Eyematch Bullseye
The system correctly verifies a genuine
traveller.
98.26% 98.35%
The system incorrectly verifies an imposter. 5.12% 5.18%
1a Calculate conditional probabilities
Your firm is to compute the conditional probability (for both solutions) that there is an
imposter, given the verification is positive; ie. p(P-|V+). Show your calculations using
Bayes’ rule.
Solutions:
P ¿
Solution 2:
P ¿
Solution 1:
P ¿
1b Provide a recommendation
Provide your recommendations to the Australian Border Force on the best choice of the
solution if they want to minimise this conditional probability.
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Assessment 2b: Tasks and Template
You should draw on the unit content relating to dealing with uncertainty to answer this
question.
Solution:
From the calculation results in 1a above the bullseye provide the best surveillance for the
environment set up because it has a low conditional probability of either missing the event.
The conditional probability of it verifying an imposter is low.
Question 2
Part A
Automotive Excellence produces a range of components needed to produce automobile
engines.
Production of different component categories varies from month to month.
The intent of this graph is to summarise the variation in numbers of component categories
from month to month in 2017.
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Assessment 2b: Tasks and Template_5

Assessment 2b: Tasks and Template
Cylinder Blocks
Pistons
Cylinder Heads
Crank Shafts
Connecting Rods
Oil Sumps
Camshafts
Valves
Injectors
Push Rods
Manifolds
Gaskets
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
Automotive Excellence
Production Amounts in 2017
Minumim
Maximum
Median
2A.1 What’s wrong with this graphic?
List and briefly explain each of the problems that you detect in the design of this graphic
drawing on the principles presented on visualisation and from your wider reading.
Solution
1. It is not possible to read data from the graphs. This is because the graphs overlap each
other.
2. The graphs looks ambiguous. You can’t tell the data for each month.
3. The difference between the graphs are not clear.
2A.2 How would you redesign this graphic?
Develop an alternative graphic that addresses the problems you detected
Solution
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Assessment 2b: Tasks and Template_6

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