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The%20Outline

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Title: The%20Outline


1
The Outline
2
Introduction Outline
  • 1 Introduction
  • 1.1 Problem Statement
  • In engineering, a problem is usually in the form
    of
  • Given (some condition)
  • Subject to (some constraints)
  • Find (a solution).
  • A well-posed problem is a necessary, but not
    sufficient condition, for the finding of a
    solution.

3
Motivation
  • This section should describe why someone should
    be interested in solving the problem.
  • State the significance of the problem.
  • What is contribution to the appropriate body of
    knowledge?

4
Motivation (2)
  • What wider principles emerged from your research?
  • How can people in your field use it?
  • Can people in other fields use it?

5
Motivation (3)
  • State the impact of a problem solution upon
    society (if there is one).
  • How can other researchers take your work forward?
  • How can your research be applied in practice? Who
    is able to apply your findings? What might they
    do?

6
Motivation (4)
  • When and where might it be done?
  • What are the implications of other potential
    answers to the problem?

7
Approach
  • Kind of program or hardware design used. What
    were the implications of choosing particular
    methods of data gathering and analysis?
  • Did certain techniques cast some doubts or
    further veracity on your findings?

8
Approach(2)
  • What did the literature say and how does it
    matter to your research?
  • How did your methodology affect the findings?
  • What is the originality of this approach?
  • Describe the rigor of research methodology.

9
Societal Implications
  • Ethics
  • What is your code of Ethics?
  • How does this relate to your code of ethics?
  • Safety
  • can the research be used for good?
  • Can the research be used for evil?

10
Historical Review
  • 2. List only references that you have cited.
  • 2.1 Review about 45 papers
  • 2.2 Ans questions like
  • How does this related to my contribution?
  • What did they contribute?
  • Why is this paper important to my work?
  • What are they claiming?
  • Are these claims valid?

11
Contributions
  • Theory or background, as needed
  • Validation
  • Experimental Results Expected
  • Preliminary theories to be tested
  • Preliminary design of the experiments
  • How results will be summarized.
  • 5. Milestones (project time line)

12
How many pages?
  • Midterm is typically more than 6 pages long.
  • 22.5 papers, on avg being reviewed. Write 1.5
    paras on each oneSo this is about 33 paras..That
    is 3 or 4 pages (min) right there. TOC PS, you
    will needs at least 6 pages to complete, more
    likely you will need about 12 or more.

13
Taxonomy
Control
Classic
Modern
14
Classic Control
Heuristics Stability Analysis Transform Techniques
15
Modern Control
Intelligent Control
Optimization Theory
16
Intelligent Control
Fuzzy Neural Hierachical
17
Divide up the lit
18
What can I have in the midterm?
  • Preliminary thesis proposal.
  • Sell your idea.
  • Package IT! Correct Formatting
  • Good grammar
  • Refined outline
  • Proper style for bib.
  • Try to make it blemish free.
  • Proof read!

19
When can I submit?
  • Submit early, submit often!
  • Progress reports, from midterm on, are the full
    thesis proposals with additions, pointed out.
  • The goal of the READING course is to create a
    thesis proposal as an outcome that is acceptable!

20
What is an acceptable thesis proposal?
  • It cant be trivial!
  • It must be doable in the given time!
  • Plan for failure!
  • Research is a speculative activity!
  • You WILL not be productive every week.
  • It is all due in two weeks from now

21
Conclusion
  • 6. Related Results (in final phase of thesis)
  • 7. Conclusion
  • Future work (after the thesis is done)
  • 8. Literature Cited (30-45 papers)

22
How do I organize the lit?
  • 3D Range Finders
  • Passive Rangefinders
  • Binocular vision
  • Diffraction
  • Active Rangefinders
  • Sound
  • Ultrasonic ping
  • EMF
  • RF Ping
  • Diffraction
  • Triangulation

23
Acceleration of Java
  • HP APIs (Native)
  • Vectorization
  • Asm
  • Distributed Computing

24
How did they design it?
  • Simulation (if simulation is good enough, then
    you can design fast).
  • Build prototypes!
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