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School of Engineering
- Undergraduate major in Mechanical Engineering
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- 工学院，物質理工学院，環境・社会理工学院共通科目
- Liberal arts and basic science courses
- First-Year Courses
- School of Science
- School of Engineering
- School of Materials and Chemical Technology
- School of Computing
- School of Life Science and Technology
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School of Environment and Society
- Department of Architecture and Building Engineering
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- Department of Social and Human Sciences
- Department of Innovation Science
- Graduate major in Technology and Innovation Management
- Common courses
- Liberal arts and basic science courses
- Academic unit or major
- Undergraduate major in Mechanical Engineering
- Instructor(s)
- Yoshioka Hayato Yagi Tohru
- Class Format
- Lecture
- Media-enhanced courses
- Day/Period(Room No.)
- Fri5-6(I321)
- Group
- -
- Course number
- MEC.I311
- Credits
- 1
- Academic year
- 2021
- Offered quarter
- 1Q
- Syllabus updated
- 2021/4/7
- Lecture notes updated
- -
- Language used
- Japanese
- Access Index
-
Course description and aims
In order to understand the basics in the field of measurement engineering, sensors, measurement system configurations, data processing will be taught through hands-on work. Moreover, statistical analysis, reliability of measured data, and sensing machine systems containing various sensors will be offered.
Student learning outcomes
The purpose of this course is to understand various sensing devices, measurement systems, data processing, data analysis, and evaluation of obtained results.
Course taught by instructors with work experience
| ✔ Applicable | How instructors' work experience benefits the course |
|---|---|
| This course will be offered using some examples in clinical field, since one instructor has experience at a biomedical engineering company. |
Keywords
sensor, measurement, signal processing, statistical analysis
Competencies that will be developed
| ✔ Specialist skills | Intercultural skills | Communication skills | Critical thinking skills | ✔ Practical and/or problem-solving skills |
Class flow
In this course, we use OCW-i and Slack. You can find Slack invitation on OCW-i. Immediately after your registration process, please check OCW-i.
This course will be offered by lecture and combined with PC-based exercise at home. This course uses Arduino and photocells, i.e., CdS cells or photoregisters. If you do not have Arduino, you can purchase at the following shop.
Arduino, breadboard, jumper cables, photo-cell, LED, registers (around 2,000 yen)
https://www.amazon.co.jp/gp/product/B06ZXXJL2B/ref=ox_sc_act_title_6?smid=A21X7DQBM2LL85&psc=1
https://www.amazon.co.jp/dp/B0832L41HK/ref=cm_sw_em_r_mt_dp_SABJN8JXFYBQJ9V50E9A
https://www.amazon.co.jp/dp/B07ZCK7VH9/ref=cm_sw_em_r_mt_dp_TT6FZ1FS8WW55J69SBHZ
Please install Arduino software and MATLAB prior to the first class. (It takes two hours to install all software in some case.)
Arduino
https://www.arduino.cc/
MATLAB
https://www.mathworks.com/academia/tah-portal/tokyo-institute-of-technology-1070812.html
Course schedule/Required learning
| Course schedule | Required learning | |
|---|---|---|
| Class 1 | Introduction of various sensors, training using Arduino and CdS cells, systematization technology (A / D conversion, sampling theorem, aliasing) | 1) Take pictures of the 3 types of sensors used in your daily life, paste them in Word, etc., add comments about the sensor (sensor name, physical quantity to be detected, etc.), convert it to a PDF file, and upload the file to OCW. 2) Install the Arudino hardware support package of MATLAB, reading the instruction on the following site. https://jp.mathworks.com/matlabcentral/answers/uploaded_files/41209/SupportPackage_InstallGuide_for_Arduino.pdf |
| Class 2 | MATLAB Tutorial https://www.mathworks.com/learn/tutorials/matlab-onramp.html | Take a tutorial on-line course of MATLAB and upload the certificate file to OCW. |
| Class 3 | MATLAB signal processing basic practice (graph display), connecting MATLAB and Arduino and displaying CdS cell output on MATLAB | Measure something in your daily life, using sensors (the subject of measurement will be explained in class). Connect the MATLAB and Arduino to display the sensor output on the MATLAB graph. Paste the graph (or screenshot) to Word file, add comments (what you noticed in this measurement experiment, etc.), and upload its PDF file to OCW. |
| Class 4 | Signal processing (ensemble average, moving average), Fourier transform (power, phase, continuous / discontinuous, Gibbs phenomenon, window function), signal processing with MATLAB | Using MATLAB, analyze the measurement results obtained in the previous exercise in frequency domain. Paste the time domain graph and the frequency domain graph (power spectrum) into the word, add comments (what you noticed in this measurement experiment, etc.), and upload the PDF file to OCW. |
| Class 5 | Statistical analysis (variance, SD, error function) | By using MATLAB, statistical parameters are calculated with a m-file. |
| Class 6 | Reliability (traceability, uncertainty, calibration) | By using MATLAB, relationship amoung parameters are calculated with graphs. |
| Class 7 | Measurement system (CMM, roughness gauge, material testing machine) | By using MATLAB, analysis exercise with experimental data are carried out. |
Out-of-Class Study Time (Preparation and Review)
To enhance effective learning, students are encouraged to spend approximately 100 minutes preparing for the class and another 100 minutes reviewing class content afterwards (including assignments) for each class.
They should do so by referring to textbooks and other course material.
Textbook(s)
The lecture materials will be uploaded to OCW-i. Please download by the day before the class. May not be available during or immediately before class.
Reference books, course materials, etc.
「計測システム工学の基礎」西原主計，山藤和男，森北出版 (Japanese textbook only)
Assessment criteria and methods
The evaluation is based on reporting assignments.
Related courses
- MEC.I211 ： Robot Kinematics
Prerequisites (i.e., required knowledge, skills, courses, etc.)
This course uses Arduino and photocells, i.e., CdS cells or photoregisters.
If you do not have Arduino, you can purchase at the following shop.
Arduino, breadboard, jumper cables, photo-cell, LED, registers (around 2,000 yen)
https://www.amazon.co.jp/gp/product/B06ZXXJL2B/ref=ox_sc_act_title_6?smid=A21X7DQBM2LL85&psc=1
https://www.amazon.co.jp/dp/B0832L41HK/ref=cm_sw_em_r_mt_dp_SABJN8JXFYBQJ9V50E9A
https://www.amazon.co.jp/dp/B07ZCK7VH9/ref=cm_sw_em_r_mt_dp_TT6FZ1FS8WW55J69SBHZ
In this course, we will use the CdS cell (photo register) included in the above kit. If you have an Arduino but don't have a photo register, you can buy it at Akizuki Denshi's online shop, Sengoku Densho's online shop, or Amazon.
CdS cell only (30 yen + delivery fee)
http://akizukidenshi.com/catalog/g/gI-00110/
A parts kit including CdS cell, bread board, jumper cables, and others. (2546 yen + delivery fee )
https://www.sengoku.co.jp/mod/sgk_cart/detail.php?code=EEHD-57Z8
Other
In this course, we use OCW-i and Slack. You can find Slack invitation on OCW-i. Immediately after your registration process, please check OCW-i.
