Dates: 20 - 22 January 2021 (Postponed until further notice)
Venue:
- Rajamangala University of Technology Rattanakosin Klai Kang Won Campus, Hua Hin,
Prachuap Khiri Khan, Thailand (in conjunction with the WUNCA 42th) - Remote participant via ZOOM or VClass (https://www.vclass.net)
Instructors:
- Dr. Sunee Raksakietisak, Thai-Australian Technological Services Center
- Dr. Thongchai Kanabkaew, Mahidol University
- Dr. Adisorn Lertsinsrubtavee, intERLab/AIT and ThaiREN
This workshop will cover the foundation of data analytic skills through the examples of IoTs (Internet of Things) Air Quality micro sensors which is collected as unstructured type. The participants will design a multidimensional model for Data warehouse or Data mart by using Business Intelligence Platform (software) such as Pentaho Business Analytics Suite that can support several features for data management ranging from Data Engineering, Data Analysis & Modelling, Data Visualization and Data Science. The hands-on sessions will cover two use cases; 1) Quality assessment of IoT sensors through batching test process, 2) Data analysis of air quality monitoring from wireless sensor network to understand and predict the movement of smog and PM 2.5.
Objectives of this workshops:- Introduce the IoT technology for the environmental research and forest fire prevention activities
- Using the Data analytic technique to improve the reliability of making the IoT devices
- Advance data analytics with R Commander package
- Create a data pipeline using Pentaho Data Integration (PDI)
- Data Exploration and Modelling with R
- Students, sesearchers, faculty from various fields who are interested in data science and IoT technology.
- IT technicians, IT instructors, statistician and IoT practitioners.
- Environmentalist/domain-specific experts who wish to use data science and IoT in environmental research.
Workshop Schedule
Time |
Agenda |
13:00 – 13:15 |
Registration |
13:15 - 14:30 |
Introduction to SEA-HAZEMON@TEIN project - Recap of the major activities - Introduction to IoT technology and Air Quality Monitoring - Case Study: Detection of PM2.5 Plume Movement Using IoT Ground Monitoring Devices |
14:30 – 14:45 |
Coffee break |
14:45 - 16:30 |
Forest Fire Monitoring and Surveillance with Alternative Technologies |
Day2: 21 January 2020
Time |
Agenda |
8:30 – 9:30 |
Case Study: Detection of PM2.5 Plume Movement Using IoT Ground Monitoring Devices |
9:30 - 10:30 |
Hands-on#1: PDI for Data Preparation of case study |
10:30 – 10:45 |
Coffee Break |
10:45 -- 12:00 |
Hands-on#2: Data Visualization with Power BI |
12:00 – 13:00 |
Lunch Break |
13:00 – 14:30 |
Hands-on#3: Data Exploration and Modelling with R Program |
14:30 – 14:45 |
Coffee Break |
14:45 - 16:30 |
Hands-on#3 (continue) |
Day3: 22 January 2020
Time |
Agenda |
8:30 – 9:30 |
Reliability and Validity Analysis of IoT sensors (Batching Test Analysis) - Batching Test Design - Data Integration with PDI (Pentaho Data Integration) - Reliability analysis with ANOVA model - Validity Analysis with Z score (ISO13528) - Criteria for Sensors’ Grading |
9:30 - 10:30 |
Hands-on#4: PDI for Data Preparation of Reliability Analysis |
10:30 – 10:45 |
Coffee Break |
10:45 -- 12:00 |
Hands-on#4 (Continue) |
12:00 – 13:00 |
Lunch Break |
13:00 – 14:30 |
Hands-on#5: R Program for Reliability Analysis - Descriptive Statistics - ANOVA (Analysis of Variance to Compare Distribution) |
14:30 – 14:45 |
Coffee Break |
14:45 - 16:30 |
Hands-on#6: PDI for Validity Analysis with Z score Calculation and Sensor Grading |
- Microsoft Excel
- Pentaho Data Integration (https://sourceforge.net/projects/pentaho/files/Pentaho%209.1/client-tools/ )
- R (https://www.r-project.org/) for Exploratory Data Analysis & Modelling without coding via R-Commander
- Power BI (https://powerbi.microsoft.com/) for visualization to discover insight
Participants are required to bring laptops with Windows 10 Operating System
Registration HereTraining materials, lunch and refreshments will be provided. Please note that the places are limited and the registration will be on a "first come - first served" basis. If you have any further queries, please contact Mr. Uddhav Guragain email: sec at interlab.ait.ac.th.