Internet of Things and Complex event processing (CEP)/Data fusion ปริญญา หิรัญปัณฑาพร Data Analytics/Advanced Analytics ที่ Allianz Ayudhya วทม (NIDA) ในงาน THE FIRST NIDA BUSINESS ANALYTICS AND DATA SCIENCES CONTEST/CONFERENCE จัดโดย คณะสถิติประยุกต์และ DATA SCIENCES THAILAND

1. Internet of Things and Complex event processing (CEP)/Data fusion
The First NIDA Business Analytics and Data Sciences Contest/Conference
วันที่ 1-2 กันยายน 2559 ณ อาคารนวมินทราธิราช สถาบันบัณฑิตพัฒนบริหารศาสตร์
https://businessanalyticsnida.wordpress.com
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โดย ปริญญา หิรัญปัณฑาพร
Data Analytics/Advanced Analytics ที่ Allianz Ayudhya
วทม (NIDA)
-Internet of Things (IoT)
-เทคนิค data fusion เช่น Joint Directors of Laboratories (JDL)
-ตัวอย่าง Spatial-temporal analysis เช่น Population movement
นวมินทราธิราช 3003 วันที่ 1 กันยายน 2559 16.-0-17.00 น.

2. Internet of things and Complex Event Processing
(CEP) concept
By Parinya Hiranpanthaporn

3. About me
• More than 12 years in Business Intelligence and Enterprise Data Warehouse areas
• Working on Advanced Analytics and Data Analytics
• Interesting areas : Big Data/IoT Analytics (Streaming Analytics)

4. Topics
• Internet of things (IoT) introduction
• IoT Architecture
• IoT use cases
• Rolls Royce
• Pendleton & Son Butchers
• What is Complex Event Processing (CEP) and Data fusion
• How CEP/Data fusion relates to IoT
• Open source tools

5. Internet of things (IoT) introduction
Source : https://www.getcujo.com/internet-of-things-security-device-cujo/
“The concept of basically connecting any device
with an on and off switch to the Internet (and/or to
each other). This includes everything from
cellphones, coffee makers, washing machines,
headphones, lamps, wearable devices and almost
anything else you can think of.”
From : www.forbe.com
Source : http://www.mercurynews.com/business/ci_24836116/internet-things-seen-bonanza-
bay-area-businesses/

6. IoT Architecture
Source : https://www.aeris.com/technology/aercloud/

7. IoT Use case – Rolls-Royce
About Rolls-Royce
The high-tech manufacturer that are used by
500 airlines and more than 150 armed forces.
Problem
• To monitor the health of their products to
spot potential problems before they occur.
Solution
• Using wireless transmissions (like VHF
radio and SATCOM) to send sensor data
from the aircraft which can help them get
insight of engine operation – “Total Care”

8. IoT Use case – Pendleton & Son Butchers
About Pendleton & Son
Superior quality butcher shops based in
north-west London, established in 1996,
Problem
• Supermarket chain store/small butcher shop
Solution
• Using inexpensive cellular phone detector
sensor to measure/monitor people that
walked past the shop.
• Using external data like weather data to
help predict demand.

9. What is Complex Event Processing (CEP)
Source : https://en.wikipedia.org/wiki/Complex_event_processing
Complex event processing, or CEP, is event
processing that combines data from multiple
sources[2] to infer events or patterns that suggest
more complicated circumstances. The goal of
complex event processing is to identify
meaningful events (such as opportunities or
threats)[3] and respond to them as quickly as
possible.
Source : http://www.slideshare.net/SybaseTurkey/sybase-complex-event-processing

10. A Simple CEP Example
Source : http://www.slideshare.net/SybaseTurkey/sybase-complex-event-processing

11. What is Data fusion
Data fusion is the process of integration of multiple data and knowledge representing the
same real-world object into a consistent, accurate, and useful representation.
Source : http://ntl.bts.gov/lib/jpodocs/repts_te/13837.html
Dasarathy Model
Joint Directors of Laboratories (JDL)
Framework

12. A simple Data fusion example
Prediction of water level: Suppose you have a model that predicts river water level every
hour (using the usual inputs). You know that your model is not perfect and you don’t trust it
100%. So you want to send someone to check the river level in person. However, the river level
can only be checked once a day around noon and not every hour. Furthermore, the person who
measures the river level cannot be trusted 100% either. So how do you combine both outputs
of river level (from model and from measurement) so that you get a ‘fused’ and better
estimate?
Source: Introduction to Kalman filters – CEE 6430: Probabilistic Methods in Hydrosciences – Fall 2008

13. How CEP/Data fusion relates to IoT
Source : https://dzone.com/articles/internet-things-iot-reference
Complex Event Processing

14. Spatial Temporal using IoT
Space
Time
result
Population movement

15. Open Source tools
Source : http://www.slideshare.net/hsplmkting/webinar-iot-cloud-platforms-and-middleware-for-rapid-application-development

16. Thank you

17. Reference
• Big Data in Practice – Berrnard Marr
• https://online.ist.psu.edu/sites/ist885/files/lesson2jdl.ppt