6. AUTONOMOUS SYSTEMS DEFINITION (2) | DIFFERENCE
AUTONOMOUS SYSTEM TRADITIONAL AUTOMATION
Dynamic respond
Do repetitive task with no variation and
static respond
7. Intelligent Things
[e.g Smart Fridge]
Decision-based
[e.g. stock trade system]
Human Interaction
[e.g Google Home]
AUTONOMOUS SYSTEMS TYPE
9. 1. TESLA | AUTONOMOUS CAR
Core abilities to autonomously
• Accelerate, decelerate
• Shift lanes and overtake cars on its own
• Autonomously park user car
Upcoming updates
• Respond to traffic lights and certain signs
• automatic driving on city streets
AUTONOMOUS SYSTEMS EXAMPLE
10. 2. AMAZON GO | AUTONOMOUS STORE
Core abilities to autonomously
• Checkout autonomously in the background and
deduct user money
• Virtual cart that is autonomously updated
Process
• Enter through Amazon Go app
• Then take any products that they want
• Just walk out from the store
AUTONOMOUS SYSTEMS EXAMPLE
11. 3. SKYDIO R1| AUTONOMOUS DRONE
Core abilities to autonomously
• Navigate and move on its own without piloting
• Detect and record the person it’s going to follow
• Detect any obstacles in any directions and avoid
Suitable for biker, runner and anyone that want the drone to
follow and filming them.
AUTONOMOUS SYSTEMS EXAMPLE
12. 4. ROOMBA ROBOT | CLEANER ROBOT
Core abilities to autonomously
• Navigate, move on its own
• Detect any obstacles in any directions and avoid
• Dirt detector that can detect dirt nearby thus it will clean
that area.
AUTONOMOUS SYSTEMS EXAMPLE
13. 5. NEST| SMART HOME AUTOMATION
Nest Smart Thermostat
• Determine surrounding setting is cold or hot then adjust the
temperature to be in suitable state
Nest Smart Smoke Detection
• Interpret accuracy whether it a real or false alarms. If true, it
will notify the user
Nest Smart Camera
• Distinguish people & objects,
• Sense and track any suspicious object
• Alert authority, on alarm and notify user that there are
intruders
AUTONOMOUS SYSTEMS EXAMPLE
14. Autonomous systems can be anything where it are equipped
with various sensors and connected to network.
Tends to be active/responsive.
Performs autonomously, dynamically and adapted according
to situations which
Also context aware as it can gather information about its
environment and adapt to it.
EXAMPLE
Smart fridge
<>Acquired data through sensor (livestock data)
<>Analyzed it
<>Execute the action
---Notification to smart devices
---Autonomously order via online.
HOW AUTONOMOUS SYSTEM ARE APPLIED IN UBIQUITOUS COMPUTING
GOAL of Ubiquitous Computing: Compute everywhere and anytime
◦ to expand human awareness (conscious)
◦ to produce a context-aware and responsive environment.
15. Big Data and its applications in ubiquitous computing
19. Understand, predict and determine consumers wants and needs
Make better decisions and improvement
Ahead of competitors
Increase profitability
BIG DATA DEFINITION (2) | IMPORTANCE
20. Social Data
[e.g Social Media]
Machine Data
[e.g. IOT devices]
Transactional Data
[e.g Orders Receipt]
BIG DATA SOURCES
22. BIG DATA TYPES
Unstructured
Structured
Semi-structured
A data that can organized and has fixed size so that it can be easily processed
stored, and retrieved in a fixed format
Does not have fixed form. Difficult and take a lot of time to study and process
Can appear to be unstructured, But contains tags or other markers that allows
elements contained to be addressed(XML , JSON)
23. BIG DATA APPLICATIONS EXAMPLES
Banking and
Securities
Healthcare Education Transportation
24. Big Data gathering comes from sensors of ubiquitous
machine/IOT devices
Massive data streams will be processed and analyzed by
powerful Big Data analytics tool like Hadoop, Matlab, Bluemix.
Outcomes of that data is generated rapidly real time
where it can be accessed right away, anywhere and anytime.
HOW BIG DATA ARE APPLIED IN UBIQUITOUS COMPUTING
GOAL of Ubiquitous Computing: Compute everywhere and anytime
◦ to expand human awareness (conscious)
◦ to produce a context-aware and responsive environment.
Big Data able to assist and ensure better
responsiveness in ubiquitous devices
By having those processed Big Data,
Enables ubiquitous devices to adapt and truly build
intelligence.
26. CLOUD COMPUTING
DEFINITION
Storing and accessing data and programs over
the Internet instead of owned computer's hard
drive
Services using the internet without user directly
management
29. CLOUD COMPUTING SERVICES
•Software-as-a-Service
•(SaaS)
• Large operating
environment
• Fully functional
application provided
•Platform as a Service
•(PaaS)
• Include operating
environment
•Infrastructure-as-a-
Service
•(IaaS)
• Virtual platform
require operating
environment and
application
• Include storage
30. CLOUD COMPUTING TYPES
Public
Private
Community
Hybrid
The cloud
resources are
owned and
operated by a
third-party cloud
service
provider and
delivered over the
Internet
Cloud resources
used exclusively by
one business or
organization
Cloud resources
are shared
between
organizations with
a common
business-related
goal
Combination of
private clouds,
with public clouds
so organizations
can reap the
advantages of
both.
32. Cloud Computing itself is consider as ubiquitous
◦ Compute and perform services,
◦ Accessed, anywhere and anytime as desired.
◦ For example, cloud services like Gmail can be accessed 24 hours
anywhere within earth by not only desktop but also other SMART
Devices like Smartphone,
HOW CLOUD COMPUTING ARE APPLIED IN UBIQUITOUS COMPUTING
GOAL of Ubiquitous Computing: Compute everywhere and anytime
◦ to expand human awareness (conscious)
◦ to produce a context-aware and responsive environment.
Ubiquitous devices lack
◦ Computational power & memory constraint.
Need to give a real time services based on context
environment so that impossible
Cloud Computing as the ultimate solution
◦ Provide various virtual resources (memory,
computational power) and general services.
◦ Anywhere and anytime as long it connected to network
34. 2019 HOSTINGTRIBUNAL, 25 Must-Know Cloud Computing Statistics in 2019, <https://hostingtribunal.com/blog/cloud-computing-statistics/>
Business Wire, Michael Shirer, November 06, 2017, Worldwide Public Cloud Services Revenue Growth Remains Strong Through the First Half of 2017, According to IDC,
<https://www.businesswire.com/news/home/20171106005140/en/Worldwide-Public-Cloud-Services-Revenue-Growth-Remains>
Datamation, By Cynthia Harvey, Posted January 8, 2018,Top 10 Cloud Apps,<https://www.datamation.com/cloud-computing/slideshows/top-10-cloud-apps.html>
OpenCirrus.org, by Admin - Open Cirrus, Apr 8, 2017 4 Types of Cloud Computing, <https://opencirrus.org/4-types-cloud-computing/>
Packt Publishing Ltd, Amey Varangaonkar, Data Science Enthusiast, August 7, 2018, <https://hub.packtpub.com/cloud-computing-services-iaas-paas-saas/>
CBS Interactive., Steve Ranger,December 13, 2018,What is cloud computing? Everything you need to know about the cloud, explained, <https://www.zdnet.com/article/what-is-cloud-
computing-everything-you-need-to-know-from-public-and-private-cloud-to-software-as-a/>
Monitis, by Hovhannes Avoyan, 03.10.2017,3 Types of Cloud Computing Services, <https://www.monitis.com/blog/3-types-of-cloud-computing-services/>
PC Mag,By Eric Griffith,May, 3 2016, What Is Cloud Computing?, <https://www.pcmag.com/article/256563/what-is-cloud-computing>
IBM Malaysia, What is cloud computing?, <https://www.ibm.com/my-en/cloud/learn/cloud-computing>
Tech Target, February 2019, cloud computing, <https://searchcloudcomputing.techtarget.com/definition/cloud-computing>
REFERENCES IMPORTANCE
