SEA-HAZEMON@TEIN Workshop on Data Analytics of IoT Sensors for Air Quality Monitoring

20 - 22 January 2021, Rajamangala University of Technology, Hua Hin, Thailand

     
SEA-HAZEMON@TEIN Workshop on Data Analytics of IoT Sensors for Air Quality Monitoring


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
Introduction:

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
Target participants:
  • 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
Tools/Workshop requirements:
  1. Microsoft Excel
  2. Pentaho Data Integration (https://sourceforge.net/projects/pentaho/files/Pentaho%209.1/client-tools/ )
  3. R (https://www.r-project.org/) for Exploratory Data Analysis & Modelling without coding via R-Commander
  4. Power BI (https://powerbi.microsoft.com/) for visualization to discover insight

Participants are required to bring laptops with Windows 10 Operating System

Registration Here

Training 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.