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CHAPTER 5 THEME UP

CHAPTER 5 THEME UP. CHAPTER 5 THEME UP 5.1 What is theme ? 5.2 Why do we need to theme up? 5.3 How do we theme up? 5.4 Exercise. 5.1 What is theme ? (1) Theme is a focused point. - Big impact - Another problem that needs new data collecting for analysis. - Unique point of view

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CHAPTER 5 THEME UP

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  1. CHAPTER 5 THEME UP

  2. CHAPTER 5 THEME UP 5.1 What is theme ? 5.2 Why do we need to theme up? 5.3 How do we theme up? 5.4 Exercise

  3. 5.1 What is theme ? (1) Theme is a focused point. - Big impact - Another problem that needs new data collecting for analysis. - Unique point of view - New evaluation result seems to be investigated.

  4. 5.1 What is theme ? (2) Example 5.1.1:

  5. 5.1 What is theme ? (3) Data of recognition

  6. 5.1 What is theme ? (4) Example 5.1.1 (continue) Noise and Clean can be focused as a theme and its data should be collected.

  7. 5.1 What is theme ? (5) Example 5.1.2 The actual sales of two Sale men and a new sale man are shown in graph.What is appropriate to be theme?

  8. 5.1 What is theme ? (6) Example 5.1.2 (continue)

  9. 5.1 What is theme ? (7) Example 5.1.2 (continue) * New employee has improvement. * Mr.B and C slump in 3rd Quarter. ---> Economic crisis? * Why Mr.C has not come back?

  10. 5.1 What is theme ? (8) Example 5.1.3 Breast calcification - Survey:Data for finding patterns in frequency domain. : Data in time domain. - Problem:Noise and calcification is in high frequency range. ----> Detection of calcification

  11. 5.1 What is theme ? (9) Example 5.1.4 Omnidirectional sensor: Survey: * for position detection in map. * for detecting panorama by one camera.

  12. 5.1 What is theme ? (10) Example 5.1.4 (Continue) * detected panorama is not correctly projected ---> panorama calibration and usage

  13. CHAPTER 5 THEME UP 5.1 What is theme ? 5.2 Why do we need to theme up? 5.3 How do we theme up? 5.4 Exercise

  14. 5.2 Why do we need to theme up? * A way to know and solve the real problems. * By focusing a theme and turning PDCA, once you can find the real problem. * If not, you will solve the wrong or minor problems.

  15. CHAPTER 5 THEME UP 5.1 What is theme ? 5.2 Why do we need to theme up? 5.3 How do we theme up? 5.4 Exercise

  16. 5.3 How do we theme up?(1) Step 1 raise up one of found problems. Step 2 observe in time and place in that problem and collect the data. Step 3 try to find the pattern of problem. If it is OK, go to create the idea. Step 4 If there are something wrong in data, theme up another one and add new item to observe. Step 5 go to step 2.

  17. 5.3 How do we theme up?(2) Example 5.3.1 Data collecting results of improving efficiency of a machine

  18. 5.3 How do we theme up?(3) Example 5.3.1(continue)

  19. 5.3 How do we theme up?(4) Example 5.3.1(continue) Themes can be considered as: * According to the cause of 2nd quarter, for ex., machine trouble ----> maintenance. * False negative has to be decreased

  20. 5.3 How do we theme up?(5) Example 5.3.2 Durian Maturity Inspection - Counting days as conventional method - Human Knocking - Automatic knocking - By cavity analysis, --> vibration, ultrasonic, etc.

  21. 5.3 How do we theme up?(6) Example 5.3.3 Final consonant Detection - Picking up vowel detection as problem. - Time and frequency approach --> not constant range - Energy approach---> highest frequency as vowel - Finding last point of vowels.

  22. 5.3 How do we theme up?(7) Other examples: Mangosteen hardness detection Durian ripeness classification Human tracking Corridor walking robot Voice recognition etc.

  23. CHAPTER 5 THEME UP 5.1 What is theme ? 5.2 Why do we need to theme up? 5.3 How do we theme up? 5.4 Exercise

  24. 5.4 Exercise

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