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The assignment should be around 2000 words excluding references and figures. The assignment should be your own work and written in your own words and any information taken from other resources should be referenced appropriately. It will be checked for plagiarism using Turnitin. Any plagiarism or copying from others will be dealt with through the university’s plagiarism procedures.

Your assignment must be submitted electronically via BlackBoard (Assignments tab) by the submission time. The report should be contained in a Word document, or PDF No other means of submission will be accepted. The software code will be submitted independently.

Any assignment submitted late, but within 5 working days of the deadline, will be given a maximum mark of 50%. Assignments submitted more than 5 working days after the deadline will not be marked, and a mark of 0% will be recorded.

Learning Outcome to be assessed:

 

1

Research, analyse, integrate, apply and present detailed design proposals.

2

Use appropriate technical terminology to describe basic design concepts.

3

Develop technical competence and skills in generation and adaption of design ideas.

 

Task:

‘Lutron is an industry focused IoT application development company that develops diverse IoT for

 

different industries to support a wide range of systems and computing environment. One of the future

 

objectives of Lutron is to be a leading company on smart IoT technologies in cyber-physical domains

 

using the principles of Automation of Everything (AoE) within Industry 4.0.

 

Lutron Industry 

 

You have been asked as an engineer in the ‘Lutron company, to design a smart blind system and show the viability of such a system in order to make Lutron a leading company in the market on blind systems. In this manner,

 

 Provide a detailed, professional report for your company that contains the following:

 

1-  A review/insight of various smart blind systems in the market by comparing their advantages and disadvantages. This

     review should include all the necessary components of AoE.

2-  Design a new smart blind system within the concept of AoE. Use flowchart to support your design.

3-  Build an application using Fuzzy logic for this smart blind system to establish an autonomous decision making. You can use any

     programming language you are comfortable with. This smart application is supposed to input:

i)             The required Wisdom as a Service (WaaS) and Information as a Service (InaaS) from the smart domains in the cloud platform, particularly from smart city in a pay-as-yougo model,

ii)           Data from local sensors, and

 

iii)          Data from customer’s preferences,

 

iv)          In order to result in how much the window is ought to be closed/opened as an output.

4- Develop an interface test platform in order to show that your system is working as desired and ready to be incorporated into any

    blind system using the fuzzy logic built in Section 3. This platform:

i)  Inputs the specific values given in 3-(i), 3-(ii) and 3-(iii) above and results the output given in 3-(iv) above,

ii)  Gives both the aggregated output fuzzy set and defuzzified output in a figure. An example developed in 2018 for a

    washing machine in this module is given in Figure 1.

 

    Aggregated output fuzzy 

 

 

Figure 1: Aggregated output fuzzy set and defuzzified output to indicate the washing time with respect to the output membership

functions.

5- Explain all the fuzzy logic components (e.g., inference method, membership functions) employed in your application using

   required scientific terms.

6- Explain why a customer should buy your blind system, what makes your blind system head and shoulders over the other off-the-

    shelf smart blind systems reviewed in Section 1.

7- Discuss the 5G communication technology along with terahertz, milimeterwave, massivemimo, NOMA and VLC-visible light

   communication regarding AoE and comment on how these technologies will revolutionize the industry in the following 10 years.

 

 

The Department’s Principles of Assessment will be used to determine grading levels.

 

1

A review/insight of various smart blind systems in the market by comparing their advantages

 

and disadvantages. This review should include all the necessary components of AoE.

10%

2

Design a new smart blind system within the concept of AoE. Use flowchart to support your

 

design.

20%

3

 

 

i. 

 

 

ii. 

 

 

 

 

 

 

iii.

 

iv.

Build an application using fuzzy logic for this smart blind system to establish an autonomous

 

decision making. You can use any programming language you are comfortable with. This smart

 

application is supposed to input:

 

The required Wisdom as a Service (WaaS) and Information as a Service (InaaS) from the

smart domains in the cloud platform, particularly from smart city in a pay-as-yougo model,

Data from local sensors, and

 

Data from customer’s preferences,

 

In order to result in how much the window is ought to be closed/opened as an output.

 

 

 

10%

 

 

5%

 

5%

 

  10%

4.

 

 

 

 

 

 

 

 

i. 

 

 

 

ii.

Develop an interface test platform in order to show that your system is working as desired and

 

ready to be incorporated into any blind system

 

using the fuzzy logic built in Section 3. This platform:

 

 

Inputs the specific values given in 3-(i), 3-(ii) and 3-(iii) above and results the output given in 3-(iv) above,

Gives both the aggregated output fuzzy set and defuzzified output in a figure. An example developed in 2018 for a washing machine in this module is given in Figure 1.

10%

5.

Explain all the fuzzy logic components (e.g., inference method, membership functions) employed in your application using required scientific terms.

10%

6.

Explain why a customer should buy your blind system, what makes your blind system head and shoulders over the other off-the-shelf smart blind systems reviewed in Section 1.

10%

7.

Discuss the 5G communication technology along with terahertz,

massive-mimo, NOMA and VLC-visible light communication regarding AoE and comment on how these technologies will revolutionize the industry in the following 10 years.

milimeterwave

,

10%

 

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