Internet of Things: The Gold is in the Sensor Data

©"REDtone"IOT"2015"
INTERNET OF THINGS (IOT) 
“THE GOLD IS IN THE SENSOR DATA” 

Adjunct Professor Lecture Series
(Feb. 9, 2015 @ UTHM)
by Dr. Mazlan Abbas
CEO, REDtone IOT Sdn Bhd
(A subsidiary of REDtone International Berhad)

What is IoT?
IOT in Business
Sensing-as-a-
Service
IOT in Consumers
Agenda

Building
Smarter
World
Smart, connected products oﬀer exponentially
expanding opportunities
Cut across and transcend traditional product boundaries. !

BY 2020, HOW MANY DEVICES WILL EXIST?
2020
Gartner
Cisco
Intel
IDC
212 Billion Units
200 Billion Units
50 Billion Units
26 Billion Units
Source:
[1] http://www.gartner.com/newsroom/id/2684616
[2] http://www.intel.com/content/www/us/en/internet-of-things/infographics/guide-to-iot.html
[3] http://share.cisco.com/internet-of-things.html
[4] http://www.zdnet.com/article/internet-of-things-8-9-trillion-market-in-2020-212-billion-connected-things/

WHAT WILL BE THE IOT MARKET SIZE
By 2020
- IDC
By 2022
- Cisco
Sources:
[1] http://www.businesswire.com/news/home/20131003005687/en/Internet-Poised-Change-IDC#.VKZdfHTMUuc
[2] http://postscapes.com/internet-of-things-market-size
[3] Gartner Market Databook 2014 & Frost & Sullivan
[4] National IOT Strategic Blueprint

$14.4
Trillion
$8.9 Trillion
RMB 5-10
Trillion
China
Market
RM 9.8
Billion
Malaysia Market
14,720
Jobs
New Jobs in
Malaysia

I need to
maintain the
quality of my
goods.
Who is the
intruder?
Can I reduce
my electricity
bill?
Am I healthy?
When is my
next bus?
Where can I
park?
Monitoring of Assets – Typical Everyday
Questions
What IF we can connect ALL these assets and get the answers to ALL these questions?
THE NEED TO CONNECT ASSETS/OBJECTS/THINGS

Sensors &
Actuators
Connectivity
People &
Processes
WHAT DRIVES INTERNET OF THINGS?

[Source: http://postscapes.com/what-exactly-is-the-internet-of-things-infographic ]

Improved
Performance
Reduced Costs
Create Innovative
Products
New Revenue
Streams
Monitor
Autonomous
Optimize
Control
BUSINESS OPPORTUNITIES
Capabilities
Beneﬁts

©"REDtone"IOT"2015"WHAT IF – we can create Compound Applications across industries?

Compound Applications

FOR EXAMPLE

©"REDtone"IOT"2015"[Source: National Internet of Things Strategic Initiatives, Helmi Halim, Asia M2M Asia Business Platform, 3-4 Nov. 2014]

New Business Model
Find the Gold in the Sensor Data.

2009
800,000 petabytes
2020
35 zettabytes
as much Data and Content 
Over Coming Decade
44x
80% Of world’s data
is unstructured

Wisdom
Knowledge
Information
Data
More
Important
Less
Important
Evaluated understanding
Appreciation of
Answers to questions.
Symbols
Understanding
Answers to

questions
WHO
WHY
HOW
WHAT
WHERE
WHEN
VALUE IS CREATED BY MAKING SENSE OF DATA
VALUE"PYRAMID"

Wisdom

Evaluated understanding
NA
Understanding

Appreciation of “why”
Why this parking area is not
fully occupied?
Knowledge

Answers to “how” questions
How to implement a tiered
charging?
How to ﬁnd “overstayed”
vehicles?
Information
Answers to “who”, “what”,
“where” and “when”
questions
Who park at this lot?
What kind of vehicle?
Where is the empty parking
lot?
When is peak period?
Data
Symbols
Empty (0), Full (1)
V
a
l
u
e
Who Beneﬁts? - Citizens / Parking Operators / City Council / Shops
EXAMPLE – SMART PARKING

Sensing-as-a-Service : An IoT
Cloud Service

All personal items, such as mobile phones,
wrist watches, spectacles, laptops, soft
drinks, food items and household items,
such as televisions, cameras, microwaves,
washing machines, etc
Private business
organization has the right
to take the decision
whether to publish the
sensors attached to those
items to the cloud or not.
Public infrastructure such as
bridges, roads, parks, etc.
All the sensors deployed by
the government will be
published in the cloud
depending on government
policies.
Business entities who
deploy and manage sensors
by themselves by keeping
ownership. They earn by
publishing the sensors and
sensor data they own
through sensor publishers.

Personal and Households
Commercial
Sensor Data
Providers
Organizations
Public
Private
[Source: “Sensing as a Service Model for Smart Cities Supported by Internet of Things”, Charith Perera et. al., Transactions on Emerging Telecommunications
Technology, 2014]
SENSOR CLASSIFICATION SCHEME BASED ON
OWNERSHIP

REDtone IOT Platform
Visualizations
Analytics
Applications
Social Media
Network
With localized
analytics
With
aggregated
analytics
Improved
Performance

Reduced
Costs

Create
Innovative
Products

New
Revenue
Streams

Sensors and Sensor Owners (Personal,
Private, Public & Commercial)
REDtone IOT provides “Sensing-as-a-Service” by connecting, aggregating,
analyzing and transforming sensor data that will generate better insights and
enabling business improvements.”

One scenario could be as such:
•  The city would pay for access to the light
sensors in order to decide when to turn on and
oﬀ the street lights 

•  A university may want access to the pollution
information for research purposes for a limited
period 

•  The weather department would want the
temperature and pressure data 

•  The street town council center would want
the temperature and humidity data for planning
during rough weather
Sensors that gather temperature, light, pressure, humidity and pollution.
COMMERCIAL IOT SENSORS BIZ MODEL

BENEFITS OF SENSING-AS-A-SERVICE
Harnessing the creativity of the application
developers.
Cloud “Pay-per-Use”
Participatory Sensing
Sharing and reusing
Reduction in data acquisition cost
Assisting scientiﬁc community

IOT APPLICATIONS

EFFICIENT WASTE MANAGEMENT IN SMART CITIES
SUPPORTED BY THE SENSING-AS-A-SERVICE
[Source: “Sensing as a Service Model for Smart Cities Supported by Internet of Things”, Charith Perera et. al., Transactions on Emerging Telecommunications
Technology, 2014]

Crowdsensing"

SMARTPHONE AS YOUR “SENSING ASSISTANT”
Sensors:
•  Camera – “Eyes”
•  Audio – “Ears”
•  Accelerometer –
“Speed”
•  GPS – “Location”
•  Gyroscope –
“Movement”
•  Compass – “Direction”
•  Proximity – “Closeness”
•  Ambient light – “Eyes”
•  Others…
Crowdsourcing Via Crowdsensing
Context
1.  Spatial – Location / Speed Orientation
2.  Temporal – Time / Duration
3.  Environmental – Temperature / Light / Noise Level
4.  User Characterization – Activity (Mobility Pattern) / Social (Friends, Interactions)
5.  Resource Availability – Storage / Memory / Computational / Battery

NOISETUBE – CROWDSOURCING OF POLLUTION
DATA USING SMARTPHONES. WHAT MOTIVATES?
•  Citizens and Communities concerned with noise
•  Measure your daily sound exposure in dB(A) with
your mobile phone
•  Tag noisy sources to inform the community about
them
•  Visualize your measurements on a map and
contribute to the creation of collective, city-wide
noise maps
•  Compare your experience with that of others
•  Local governments / city planners
•  Improve decision-making by understanding local and
global noise pollution in your city using maps and
statistics
•  Get immediate feedback and opinions from citizens
•  Give immediate feedback to citizens
•  Researchers
•  Get access to and analyze (anonymized) collective
noise data
•  Find out what is important in soundscape perception
•  Developers
•  Extend our mobile app in whichever way you see ﬁt
•  Use our environmental sensor web API to do your
own web mashups
[Note: See Google Map View]

1.  Combining it with magnetic data from other sources, we hope to create near-real-time
models of Earth's time changing magnetic ﬁeld to aid navigation.
2.  Mapping static magnetic noise sources (for e.g. power transformer and iron pipes)
could potentially improve accuracy of the magnetic navigation systems.
CrowdMag

HOW IOT HELP QUANTIFIED-
SELF

HOW MANY STEPS
HAVE YOU
WALKED TODAY?

Average 3,000 – 4000
YESTERDAY I MADE 5,559
The recommended 10,000 steps a day originated in Japan in
the early 1965. Japanese researchers led by Dr Yoshiro Hatano
determined the average person took 3,500 to 5,000 steps per
day, and that if they were to increase their steps to 10,000
steps per day, the result would be healthier, thinner people! 
 
Dr. Hatano’s calculations also showed that we should walk
10,000 steps a day to burn about 20% of our caloric intake
through activity.

CLASSIFICATION OF PEDOMETER-DETERMINED PHYSICAL
ACTIVITY
•  < 5000 steps/day - "sedentary lifestyle index”
•  5,000-7,499 steps/day - "low active"
•  7,500-9,999 steps/day - "somewhat active”
•  10,000 steps/day - "active”
•  > 12,500 steps/day - "highly active"

MY QUANTIFIED-SELF AND LIFE LOG DEVICES

AM I A “COUCH POTATO”?
Umrah Trip: 26/2 – 7/3/2014

HOW WELL DO I SLEEP?

Am I Healthy?

I WANT TO KNOW MORE ABOUT MYSELF
•  Where you’re going?
•  Who you’ve interacted with?
•  How long you’ve spoken to friends?
•  The aﬃnity of connections?
•  How long it takes to get to work?
•  The tone of your messages
•  The amount you text, tweet or update?
•  How much exercise you’re getting?
•  How much you get distracted?
Can Internet of Things (IOT) Help Us To Know More About Ourselves?

LIFELOGGING 
TAKE A STROLL DOWN A VIRTUAL MEMORY LANE

“How much more IOT can do is only left to your imagination and to your budget. You
can do as little or as much with IoT as you want.”

Digital memories can do more than simply assist the recollection
of past events, conversations and projects.

NarrativeClip

BENEFITS OF LIFELOGGING
It will take quite some time for people to feel comfortable with ‘always connected’
devices that can discreetly take photos or videos.
One question is if the beneﬁts outweigh the negatives.

These moments could include a photo of your wife on the day you both met or a last photo of
your beloved dog. It could also help with memory. Search for someone’s name
and you’ll have all the information (including photos) of that person pop up when you are about
to talk with them.

The 150 Days
of My Life

Saga automatically records your real life story, as told by the places you visited and the things
you've done. We all have a great story to tell. Let Saga tell yours.

TOP 10 PLACES THAT HAVE BANNED GOOGLE GLASS
Because of these concerns, Google Glass has
already received a number of pre-bans at certain
places.

1.  Banks/ATMs
2.  Sports Arenas/Concert Venues
3.  Locker Rooms/Dressing Rooms
4.  Movie Theaters
5.  Cars
6.  Hospitals
7.  Classrooms
8.  Strip Clubs
9.  Casinos
10.  Bars
“I think the really big issue here is that you might, individually, not worry about
publishing details of your personal life. But you are publishing your friends, family and
business contacts details at the same time. You are potentially compromising your
family and friends!”
Lifelogging: Is It An Invasion Of Privacy?

LIFELOGGING – BEYOND THAN JUST COUNTING
STEPS
How can you organize and browse all the video, audio,
image and text data you amass?

•  Fast browsing through memories will be dependent on such annotation
•  To do this eﬃciently, we'll need machine learning algorithms that can automatically
recognize and tag all forms of life-logged data.
•  Only then will we get the killer applications,
AUTO TAGGING

Internet of Things
Mine The Gold
SUMMARY

THANK YOU
EMAIL: mazlan.abbas@redtone.com
TWITTER: mazlan_abbas
FACEBOOK: www.facebook.com/drmazlanabbas
LINKEDIN: my.linkedin.com/in/mazlan/
SLIDESHARE: www.slideshare.net/mazlan1
BLOG: http://goo.gl/nPorfE
The Only Limit Is Your Imagination - Unleash Your Creativity

Internet of Things: The Gold is in the Sensor Data

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