SIT105 Thinking Technology and Design – T1, 2020
SIT105 THINKING TECHNOLOGY AND DESIGN APPLIED PROJECT
DUE: MAY 29 AT 5PM, 2020 (TAKES INTO ACCOUNT 1 WEEK EXTENSION)
UNIT LEARNING OUTCOMES
Two ‘Unit Learning Outcome (ULO)’ of this unit are used for this assessment:
(ULO2) develop strategies using generic and IT specific techniques to explore algorithms and (ULO3) Create algorithms using the input-processing-output model, defining diagrams and pseudocode to demonstrate simple program design. This assignment requires you to design and develop algorithms using pseudocode. The assignment will indicate whether students can partially attain the associated Unit Learning Outcomes.
INSTRUCTIONS
Read the entire assignment sheet, the rubric and answer all the following tasks below.
Place your name, ID and answers in your document. Please note that only MS Word (docx) may be submitted. The word count is 1500 words max (upper limit), so be concise and efficient with your pseudocode!
Submit your assignment document on CloudDeakin applied project dropbox.
INTRODUCTION
Metro has chosen Boston Dynamics as the vendor to produce the automated passenger train discussed in the critical thinking task. The project is now being broken down into segments (divide and conquer) by the project manager. They have outlined that one major part of this project is to develop the algorithms (artificial intelligence) to operate the train and ensure it does what it is designed to do safely and successfully. So, your first goal as the software developer is to create 2 key algorithm modules in pseudocode format (not programming languages). At a later stage in this project (not done by you) these algorithms will be implemented into the trains embedded system allowing it to perform specific tasks safely and accurately.
APPLIED PROJECT: DESIGN THE AUTOMATED TRAIN ALGORITHM FUNCTIONALITY!
The purpose of this applied project is to develop the overall algorithm for the automated train; however, this will begin with developing functionality for only 2 main operations, one easier and one more difficult described below (you will need a variety of modules).
Your algorithm should begin with a Main() & END where all sub-modules will be launched from. TASK 1 – FUNCTIONALITY: FACIAL RECOGNITION (BEGINNER-INTERMEDIATE)
1. The first functionality is focused around automated entry of passengers into a train station without having to tap on or off (and thus they get entry to the train). So, the approach is to use a facial recognition algorithm to verify the identity of passengers – E.g. passenger_identify(passenger_photo, passenger_database).
• For this we will assume all passengers have registered online previously with their photo and identity details.
• Focus on the steps involved to check the characteristics of what the person’s face looks like on camera (which is
mounted at the entry point to the train station) versus their details from the online database. If they positively match, the passenger will be allowed to enter the station, a fee of $3 deducted from their account (it can go into negative) and they can then board a train.
• Hint: Check things like eye colour, hair colour, skin colour, and if you feel like going for a high score on this task, the distance between your eyes and the distance from forehead to chin may be considered.
2. You will need to demonstrate the use of both a selection statement and repetition statement across task 1 OR task 2.
3. You need to submit your design (defining diagram) for this question and the algorithm written in pseudocode.
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SIT105 Thinking Technology and Design – T1, 2020
TASK 2 – FUNCTIONALITY: TRAVEL BETWEEN STATIONS AND BOARD PASSENGERS (INTERMEDIATE-ADVANCED)
1. In this second piece of functionality we want to cover off on two aspects of train functionality (passenger identity and passenger count):
Write some functionality which will get the automated travel of one train occurring along the Williamstown line and 4 stations only.
ThetrainstartsatSouthernCrossstationandshouldstopatallstationsallthewaytoSeddonstation.
Assume the automated Metro train is just 100 metres long (they are small 😊😊).
How can we get it to stop at the right station? Use the start and finish station markers listed in the table
below.
Managetheslowingdownandspeedingupofthetrain(‘fast’/‘slow’/‘start’/‘stop’canbeused)
Returntripisnotrequired.
Managing the boarding and leaving of passengers from the train.
Whenshouldyouunlock/openthedoors?
Assumethereisasensoratalldoorswhichkeepstrackofhowmanyenterorleaveatrain(maximum
allowed on a train is 500).
Station
Start location (metres)
Finish location (metres)
Length of station (metres)
Southern Cross
0
200
200
South Kensington
1000
1170
170
Footscray
2200
2450
250
Seddon
3500
3730
230
2. You will need to demonstrate the use of both a selection statement and repetition statement across task 1 OR task 2.
3. You need to design your algorithm sequential cohesion and data coupling.
4. You need to submit your algorithm sub-module written in pseudocode (no defining diagram required).
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