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305496 Computer Project I โครงงานด้านวิศวกรรม คอมพิวเตอร์ 1 1(0-3) สัปดาห์ที่ 2 ความสำคัญของโครงงานและ การหาหัวข้อโครงงาน ความสำคัญของโครงงานและ การหาหัวข้อโครงงาน.

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Presentation on theme: "305496 Computer Project I โครงงานด้านวิศวกรรม คอมพิวเตอร์ 1 1(0-3) สัปดาห์ที่ 2 ความสำคัญของโครงงานและ การหาหัวข้อโครงงาน ความสำคัญของโครงงานและ การหาหัวข้อโครงงาน."— Presentation transcript:

1 305496 Computer Project I โครงงานด้านวิศวกรรม คอมพิวเตอร์ 1 1(0-3) สัปดาห์ที่ 2 ความสำคัญของโครงงานและ การหาหัวข้อโครงงาน ความสำคัญของโครงงานและ การหาหัวข้อโครงงาน

2 Outline Objectives 1 p p 2 Problem & Inspiration 3 Project Objective 4 Assignments 5 Objectives

3 objectives เพื่อให้นิสิตเข้าใจที่มาและความสำคัญของ โครงงาน เพื่อให้นิสิตเข้าใจจุดประสงค์ของโครงงานที่ นำเสนอเพื่อแก้ปัญหาเฉพาะของตน เพื่อให้นิสิตเชื่อมโยงที่มาของปัญหา ความสำคัญของปัญหา และจุดประสงค์ของ โครงงานของตน เพื่อที่จะประเมินความ เป็นไปได้ของหัวข้อโครงงาน เพื่อเตรียมความพร้อมให้นิสิตสำหรับการ เขียนบทคัดย่อและเค้าโครงปริญญานิพนธ์ บทที่ 1

4 Outline Objectives 1 p p 2 Problem & Inspiration 3 Project Objective 4 Assignments 5 Objectives

5 Problem & Inspiration  Problem is : any question or matter involving doubt, uncertainty, or difficulty. a question proposed for solution or discussion.  Inspiration (Motivation) is the process of being mentally stimulated to do or feel something, especially to do something creative.

6 Why problem is important ?  Originate the new idea for solving problem.  Originate the investigation for our research.  Originate the new process or new method to find out the answer or desirable results.  Leading to the conclusion after results analysis.

7 How to find the problem ? Conventional Method (Current Champion) Demerit, limitation, disadvantage, defect Theme Set Up Investigation cause by collecting data Determination of method and/or system and/or algorithm Adjust problem view Paper and/or thesis title Proposed Technique Analyze by diagram mechanism Idea Abstract Do the detail

8 Set Up Research Problem Motivati on Problem Issue Human & Life High Efficienc y Convenie nt Comforta ble Speed Performa nce Cost Energy Saving Impact Useful Safe Accuracy

9 Example of Motivation C R CR Conventional MethodProposed Method Reorder R, C Improvement View Point Energy Saving Increase Performance Reduce Noise

10 Example of Problem Selection Process 1 Process 2Process 3 Accuracy 99 % 70 %97 % Afford to improve and should be selected as problem Single Problem

11 Interpretation System English Speech Japanese Speech Example of Problem Selection (cont.) Tone Speech Detection Unit Thai Speech

12 Researc h Science Technol ogy Fundame ntals Inventio n Solve Problem Discovered Methodolo gy New Discover y Design Constructi on Methodolo gy Techniqu e Algorith m Methodol ogy Analysis Science and Technology Research

13 Example 1: Nutrient Requirements

14 Problem of Example1  Free Trade Agreement  Thailand suffer a loss of agricultural good.  Thai’ s farmer lack of knowledge, information and good management.  Thailand produce and export the ingredients of animal feed.

15  Thailand get the positive balance of trade.  Thai’s famers can competition in Free Trade Agreement.  Thai’s farmer can produce the animal feed by using easy and cheep ingredients cost. Inspiration of Example1

16 Example 2 : Object tracking system Trajectory Tracking Algorithm 100 frames Graph of distance 100 frames Input dataTracking MethodOutput data 3

17 Problem of Example1  Video data access spent long time for interesting information.  Video indexing are needed.  The low quality of Video data are challenge.  The inexplicit sense of soccer game difficulty for object tracking.

18  Fast access Video data by Video Indexing.  Overcome the low quality of Video data.  Overcome the inexplicit sense of soccer game difficulty for object tracking.  Get the new method for object tracking. Inspiration of Example1

19 Outline Objectives 1 p p 2 Problem & Inspiration 3 Project Objective 4 Assignments 5 Objectives

20 Objective Definition  An objective is : something that one's efforts or actions are intended to attain or accomplish; purpose; goal; target. the lens or combination of lenses that first receives the rays from an observed object forming its image in an optical device as a microscope or camera.

21 What is project objective ?  Goal for solving our problem.  Aim for the investigation our research.  The goal for an efficient process or method to find out the answer or desirable results.  Goal that leading to the conclusion which support our assumption.

22 Outline Objectives 1 p p 2 Problem & Inspiration 3 Project Objective 4 Assignments 5 Objectives

23 Example 1: Nutrient Requirements

24 Problem of Example1  Free Trade Agreement  Thailand suffer a loss of agricultural good.  Thai’ s farmer lack of knowledge, information and good management.  Thailand produce and export the ingredients of animal feed.

25 Objectives of Example 1  Solving the problem of old version Application Software for animal nutrient requirement.  Develop the Application Software in GUI for users friendly.  Support the low-cost animal feed prodction (easy and cheep ingredients) by user requirement. 

26 Example 2 : Object tracking system Trajectory Tracking Algorithm 100 frames Graph of distance 100 frames Input dataTracking MethodOutput data 3

27 Problem of Example1  Video data access spent long time for interesting information.  Video indexing are needed.  The low quality of Video data are challenge.  The inexplicit sense of soccer game difficulty for object tracking.

28 Researc h Science Technol ogy Fundame ntals Inventio n Solve Problem Discovered Methodolo gy New Discover y Design Constructi on Methodolo gy Techniqu e Algorith m Methodol ogy Analysis Science and Technology Research

29  Video data access spent long time for interesting information.  Video indexing are needed.  The low quality of Video data are challenge.  The inexplicit sense of soccer game difficulty for object tracking. Objectives of Example 2

30  Proposed the new and efficient approach for object tracking. Time Consumption Correction Minimum Mean Absolute Error

31 Example 3 : Face Recognition Techniques Forehead Eye Mouth PCA Process Similarity Measurement Similarity Measurement Similarity Measurement Three Horizontal Partitions Four Symmetrical Partitions PCA Process Recognition Index Region Summing Recognition Index Region Summing Similarity Measurement Similarity Measurement Similarity Measurement Similarity Measurement

32 Objectives of Example 3 MPCA 2 WMPCA 3 Wavelet Based Techniques 4 PCA 1 Hardware CostData Time Consumption

33 Questions  What is your project problems ?  What is your inspiration or motivation ?  What is your goal or project objective?

34 Assignments  Prepare the delicate slide for present the topics in previous slide for the next class.  Each group has 5 minutes for your presentation.  Delicate and beautiful presentation is needed.  Ordering and clearly presentation is needed.  The presenter must be assert by the audients.

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