2. ‘Big Data’ is similar to ‘small data’, but
bigger
…but having data bigger it requires
different approaches:
Techniques, tools and architecture
…with an aim to solve new problems
…or old problems in a better way
4. Key enablers of appearance and growth of Big
Data are
– Increase of storage capacities
– Increase of processing power
– Availability of data
– Every day we create 2.5 quintillion bytes of data; 90% of
the data in the world today has been created in the last
two years alone
5. Examining large amount of data
Appropriate information
Identification of hidden patterns, unknown correlations
Competitive advantage
Better business decisions: strategic and operational
Effective marketing, customer satisfaction, increased
revenue
6. Applications for Big Data Analytics
Homeland Security
FinanceSmarter Healthcare
Multi-channel
sales
Telecom
Manufacturing
Traffic Control
Trading Analytics Fraud and Risk
Log Analysis
Search Quality
Retail: Churn, NBO
8. What’s the Internet of Things
Definition
(1) The Internet of Things, also called The Internet of
Objects, refers to a wireless network between objects.
(2) The term "Internet of Things" has come to describe a
number of technologies and research disciplines.
10. Why Internet of Things
Dynamic control of industry and daily life
Improve the resource utilization ratio
Flexible configuration.
Universal transport & internetworking
11. The application of IoT
Scenario: shopping
(2) When shopping in the market,
the goods will introduce themselves.
(1) When entering the doors, scanners
will identify the tags on her clothing.
(4) When paying for the goods, the
microchip of the credit card will
communicate with checkout reader.
(3) When moving the goods, the reader
will tell the staff to put a new one.
12. January 22, 2017 12
What Is Data Mining?
Data mining: discovering interesting patterns from
large amounts of data.
13. January 22, 2017 13
Steps of Data Mining
Data integration
Data selection
Data cleaning
Data transformation
Data mining
Pattern evaluation
Knowledge presentation
14. 14
Application of Data Mining
Industry
Finance
Insurance
Telecommunication
Transport
Consumer goods
Scientific Research
Utilities
Application
Credit Card Analysis
Claims,Fraud Analysis
Call record analysis
Logistics management
Promotion analysis
Image, Video, Speech
Power usage analysis
15.
16. A developed urban area that create sustainable
economic development & high quality of life by
excelling in multiple key areas; Economic,
mobility,environment,people,living & Gov. excelling in
these key areas can be done so through strong human
capital, social capital and/or ICT infrastructure.
17.
18. Features
18
Smart parking
Intelligent transport system
Tele-care
Traffic management
Smart grids
Smart urban lighting
Waste management
Smart city maintenance
Smart taxi
Digital-signage.
19. Top 10 Smart City
19
o Vienna
o Toronto
o Paris
o New York
o London
o Tokyo
o Berlin
o Copenhagen
o Hong Kong
o Barcelona
21. In terms of infrastructure
In term of transport system
Entertainment & Education Facility
Energy efficiency & Reducing water conservation
Notas do Editor
Acco.to IBM
Explain well.
Quote practical examples
WSIS: World Summit on the Information Society, it’s a pair of conference about information society
This part need to be discussed again
AI: the autonomous and intelligent entities will act in full interoperability & will be able to auto-organize themselves depending on the context, circumstances or environment.
ED is to design the scheme depending on the need
FS means that hundreds and thousands of nodes will be disable and will be set to run.
CAT means that there’s several kinds of media such as vehicle stone that they need different access technologies.
SS is the machine can rend and send by themselves. No need to tell human beings
1 and 2 factors are about Resource Efficiency,
Energy conservation is a prerequisite for the Internet of Things. Therefore research producing new knowledge on how to develop more energy efficient electronics will influence the design of all electronics. Concept of energy harvesting will enable larger and larger portions of the consumed energy to be generated by ambient renewable sources available locally thus reducing the losses in long distance energy distribution.
Similar effects will be experienced by road transport and cars. Already today there are hybrid cars available harvesting the kinetic energy of the drive. This, in combination with better and more environmentally friendly energy storage in the future will make electrical vehicles achieve longer range and become more attractive alternatives.
Abundant sensory information will enable unprecedented energy optimized control. Climate control is the most energy consuming activity in modern buildings. The house could adjust the room temperatures according to the personal preferences of those in the room, and avoid heating or cooling rooms excessively without benefits to the inhabitants.
3. is the pollution and disaster avoidance
4.