The document defines ambient intelligence and discusses its key characteristics. It provides several definitions of ambient intelligence from different perspectives. Ambient intelligence systems are sensitive to their environment, can recognize and respond to the presence of users, and are adaptive. They incorporate technologies like sensing, reasoning, acting and interacting. Examples of application areas are given like smart homes and public buildings. Architectures for ambient intelligence require integrating diverse systems and standardization.
The Internet of Things, Ambient Intelligence, and the Move Towards Intelligen...George Vanecek
With the successful adoption of cloud-based services and the increasing capabilities of smart connected/wireless devices, the software and consumer electronics industries are turning towards innovating solutions within the Internet-of-Things (IoT) to offer consumers (and enterprises) smart solutions that take the dynamics of the real-world into consideration.
The vision is to bring the awareness of what happens in the real-world, how people live and how smart devices operate in the real world into the view and control of the digital world. Here the digital world is the totality of the Internet, the Web, and the private and public cloud services.
In this session, we will look at key technical trends and their increasing interdependency in the areas of real-world Sensing, Perception, Machine Learning, Context-awareness, dynamic Trust Determination, Semantic Web and Artificial Intelligence which are now enabling ambient intelligence and driving the emergence of Intelligence Systems within the Internet of Things. We will also look at the challenges that such interdependencies expose, and the opportunities that their solutions offer to the industry.
This deck looks at some of the emerging technology trends in areas like IoT, big data, analytics, wearables, beacons, and contextual/anticipatory computing.
The Internet of Things, Ambient Intelligence, and the Move Towards Intelligen...George Vanecek
With the successful adoption of cloud-based services and the increasing capabilities of smart connected/wireless devices, the software and consumer electronics industries are turning towards innovating solutions within the Internet-of-Things (IoT) to offer consumers (and enterprises) smart solutions that take the dynamics of the real-world into consideration.
The vision is to bring the awareness of what happens in the real-world, how people live and how smart devices operate in the real world into the view and control of the digital world. Here the digital world is the totality of the Internet, the Web, and the private and public cloud services.
In this session, we will look at key technical trends and their increasing interdependency in the areas of real-world Sensing, Perception, Machine Learning, Context-awareness, dynamic Trust Determination, Semantic Web and Artificial Intelligence which are now enabling ambient intelligence and driving the emergence of Intelligence Systems within the Internet of Things. We will also look at the challenges that such interdependencies expose, and the opportunities that their solutions offer to the industry.
This deck looks at some of the emerging technology trends in areas like IoT, big data, analytics, wearables, beacons, and contextual/anticipatory computing.
Ambient Intelligence (AmI) refers to a vision of the future information society where intelligent interfaces enable people and devices to interact with each other and with the environment. Ambient intelligence (AmI) research builds upon advances in sensors and sensor networks, pervasive computing, and artificial intelligence. Because these contributing fields have experienced tremendous growth in the last few years, AmI research has strengthened and expanded. Because AmI research is maturing, the resulting technologies promise to revolutionaries daily human life by making people's surroundings edible and adaptive.
ISCC 2013 keynote "Pervasive Sensing and IoT Cooking Recipe: Just add People ...Milan Milenkovic
ISCC 2013 Conference Keynote on Internet of Things scope and requirements, illustrations and specific use case energy efficiency in office buildings with personal eco-feedback application POEM (Personal Office Energy Monitor)
Ambient Intelligence the way for the easy future.AmI leds us to interact with devices in such a way that we never feel alone its like a magic between human and technology.
Internet das Coisas e o Paradigma Software-Defined Everything (SDE)Antonio Marcos Alberti
Palestra apresentada na quinta-feira técnica na sede do Banco do Brasil em Brasilia. Cobre a relação entre Internet of Things (IoT) e arquiteturas software-defined. Apresenta a proposta NovaGenesis como solução à integração desses dois paradigmas.
Ambient Intelligence (AmI) refers to a vision of the future information society where intelligent interfaces enable people and devices to interact with each other and with the environment. Ambient intelligence (AmI) research builds upon advances in sensors and sensor networks, pervasive computing, and artificial intelligence. Because these contributing fields have experienced tremendous growth in the last few years, AmI research has strengthened and expanded. Because AmI research is maturing, the resulting technologies promise to revolutionaries daily human life by making people's surroundings edible and adaptive.
ISCC 2013 keynote "Pervasive Sensing and IoT Cooking Recipe: Just add People ...Milan Milenkovic
ISCC 2013 Conference Keynote on Internet of Things scope and requirements, illustrations and specific use case energy efficiency in office buildings with personal eco-feedback application POEM (Personal Office Energy Monitor)
Ambient Intelligence the way for the easy future.AmI leds us to interact with devices in such a way that we never feel alone its like a magic between human and technology.
Internet das Coisas e o Paradigma Software-Defined Everything (SDE)Antonio Marcos Alberti
Palestra apresentada na quinta-feira técnica na sede do Banco do Brasil em Brasilia. Cobre a relação entre Internet of Things (IoT) e arquiteturas software-defined. Apresenta a proposta NovaGenesis como solução à integração desses dois paradigmas.
Ambient Intelligence: Definitions and Application AreasFulvio Corno
Topics:
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- Application areas
- Requested features
- Architectures
Slides for the course of "Ambient Intelligence: Technology and Design" given at Politecnico di Torino during year 2013/2014.
Course website: http://bit.ly/polito-ami
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The quest for realizing Smart Environments has taken place for the last 30 years. Diverse adaptations of the original UbiComp vision have been developed, each highlighting diverse aspects who have been considered critical to enable a wider and more acceptable adoption of Smart Environments. Notable examples of such interesting adaptations are Context-aware Computing, Sentient Computing, Ambient Intelligence, Ambient Assisted Living and Internet of Everything. Under those different umbrella terms, researchers have explored the 3 stage enabling equation for Smart Environments, i.e. “SENSE + PROCESS = ACT”, i.e. spaces where the environment is aware of the needs, profiles and preferences from the sensed users and accommodates its behaviour to ease their daily interactions. Contributions around these different perspectives and applied to distinct environments, i.e. Smart Offices, Smart Homes, Smart Factories or Smart Cities, have been produced, all addressing the challenges posed by ever more complex systems of systems populated by multiple users. This talk will exemplify research results on how to accomplish these three core steps. Firstly, in the SENSE part, the importance of location sensing and the spread of low cost highly dense sensing environments (RFID, NFC or low range Bluetooth) will be described. Secondly, the PROCESS stage where ever more sophisticated analytics mechanisms to take into account historic and real-time data are considered, combining domain-driven (rules) and data-driven solutions, will be analysed. Thirdly, the ACT stage will be explored, considering the evolution from reactive to learning persuasive environments which aim to collaborate with their users. Thus, a middle ground fostering collaboration between smart things and people will be defended giving place to Smarter environments. The implications of the Smarter environments approach will be illustrated with use cases in the Open Government and Efficient Energy Management domains.
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Keith Dickerson, AIOTI and Climate Associates
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Omar Elloumi, AIOTI and Nokia.
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As the internet changes our life, cloud of things will change our life again This new technology cloud of things Emerging the following technology(iot-cloud-5g-nano tech-Hci-context awareness-natural interaction) that change the concept from love things and use people to love people and use things •we all specially developing countries /Africa
must catch the cloud of everything (thing-people-process-data)train to address
the 17 SDG Goals but if any one miss it will no hope at all
•The cloud of things technology, helping elderly and handicapped people and holds the promise of fixing the millennium-old human problems of poverty, disease, violence, and poor leadership in Africa and all the world
At a time when all the world are worried about the fast spreading Zika virus, it is figured out that a wearable device could be an effective tool for preventing it, "You can compute the genome of a human being in less than seven days," "One day we will have the genome sequence of all our patients and we are then in the position to compare [that] data on a regular base with reference data."
This allows clinicians to easily identify defects in the genome and can also be used to compute the chance that someone will get a type of cancer
. A true success comes when you help others be successful leaders create leader not followers. s. It is estimated that approximately 50 billion things will be connected to each other through the communication network by 2020. A massive set of data will be created
Or by 2030 for Africa…it will be good for 10 years difference so we can fix all Africa and developing countries problems in 2030 for developed countries in 2020
The IOT will create new services based on real-time physical world data and will transform businesses, industries, and the daily life of people. Smart cities (connected communities), smart planet (green environment), smart building (building, smart homes), smart industry (industrial environment), smart energy (electric grid), smart transport (intelligent transport system), smart living (entertainment, leisure), smart health (health care system) are examples of the Internet of things.
a true success comes when you help others be successful and this true success comes in case of universal adoption of cloud of things in Africa and all the world.
“If cloud of things opportunity does not knock, build a door for it” the only impossible cloud of things journey is the one you never begin
https://onedrive.live.com/?id=94B6ABA85272A3A5%21443&cid=94B6ABA85272A3A5&group=0
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June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...Levi Shapiro
Letter from the Congress of the United States regarding Anti-Semitism sent June 3rd to MIT President Sally Kornbluth, MIT Corp Chair, Mark Gorenberg
Dear Dr. Kornbluth and Mr. Gorenberg,
The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
harassment and intimidation at the Massachusetts Institute of Technology (MIT). Failing to act decisively to ensure a safe learning environment for all students would be a grave dereliction of your responsibilities as President of MIT and Chair of the MIT Corporation.
This Congress will not stand idly by and allow an environment hostile to Jewish students to persist. The House believes that your institution is in violation of Title VI of the Civil Rights Act, and the inability or
unwillingness to rectify this violation through action requires accountability.
Postsecondary education is a unique opportunity for students to learn and have their ideas and beliefs challenged. However, universities receiving hundreds of millions of federal funds annually have denied
students that opportunity and have been hijacked to become venues for the promotion of terrorism, antisemitic harassment and intimidation, unlawful encampments, and in some cases, assaults and riots.
The House of Representatives will not countenance the use of federal funds to indoctrinate students into hateful, antisemitic, anti-American supporters of terrorism. Investigations into campus antisemitism by the Committee on Education and the Workforce and the Committee on Ways and Means have been expanded into a Congress-wide probe across all relevant jurisdictions to address this national crisis. The undersigned Committees will conduct oversight into the use of federal funds at MIT and its learning environment under authorities granted to each Committee.
• The Committee on Education and the Workforce has been investigating your institution since December 7, 2023. The Committee has broad jurisdiction over postsecondary education, including its compliance with Title VI of the Civil Rights Act, campus safety concerns over disruptions to the learning environment, and the awarding of federal student aid under the Higher Education Act.
• The Committee on Oversight and Accountability is investigating the sources of funding and other support flowing to groups espousing pro-Hamas propaganda and engaged in antisemitic harassment and intimidation of students. The Committee on Oversight and Accountability is the principal oversight committee of the US House of Representatives and has broad authority to investigate “any matter” at “any time” under House Rule X.
• The Committee on Ways and Means has been investigating several universities since November 15, 2023, when the Committee held a hearing entitled From Ivory Towers to Dark Corners: Investigating the Nexus Between Antisemitism, Tax-Exempt Universities, and Terror Financing. The Committee followed the hearing with letters to those institutions on January 10, 202
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Safalta Digital marketing institute in Noida, provide complete applications that encompass a huge range of virtual advertising and marketing additives, which includes search engine optimization, virtual communication advertising, pay-per-click on marketing, content material advertising, internet analytics, and greater. These university courses are designed for students who possess a comprehensive understanding of virtual marketing strategies and attributes.Safalta Digital Marketing Institute in Noida is a first choice for young individuals or students who are looking to start their careers in the field of digital advertising. The institute gives specialized courses designed and certification.
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Acetabularia acetabulum is a single-celled green alga that in its vegetative state is morphologically differentiated into a basal rhizoid and an axially elongated stalk, which bears whorls of branching hairs. The single diploid nucleus resides in the rhizoid.
4. Technology trends
Verona, 28/10/2014 Ambient Intelligence 4
Home Automation / Building
Automation
Smart Home / Smart
Building
Smart Devices / Ubiquitous
/ Wearable
Mobile Devices
Cloudcomputing
Internet/Connectivity
Internet of Things
5. Technology trends
Verona, 28/10/2014 Ambient Intelligence 5
Home Automation / Building
Automation
/ Smart Home / Smart
Building
Smart Devices / Ubiquitous
/ Wearable
Mobile Devices
Cloudcomputing
Internet/Connectivity
Internet of Things
Integration
Integration
6. Conquering the user
Verona, 28/10/2014Ambient Intelligence6
Smart
Home
Electrical
plants and
componen
ts
Consumer
electronics
Computers
Telecomm
unications
Industrial
automatio
n plants
Surveillanc
e systems
Smart
appliance
On-line
services
Controlling the
smart home market
is appealing to
producers of…
May we
talk?
7. Technology trends
Verona, 28/10/2014 Ambient Intelligence 7
Home Automation / Building
Automation
Smart Home / Smart
Building
Smart Devices / Ubiquitous
/ Wearable
Mobile Devices
Cloudcomputing
Internet/Connectivity
Internet of Things
IoT Applications
(IoT) Users
8. Where research is…
Verona, 28/10/2014 Ambient Intelligence 8
Home Automation / Building
Automation
Smart Home / Smart
Building
Smart Devices / Ubiquitous
/ Wearable
Mobile Devices
Cloudcomputing
Internet/Connectivity
Internet of Things
IoT Applications
(IoT) Users
10. What is Ambient Intelligence?
• Wide area
• Expectations evolving over time
• “Definition” or “prediction”?
• Multiple definitions found, from complementary
points of view
• Some researchers trying to define a common
framework
2014/2015 Ambient intelligence: technology and design 10
11. The starting point
• The concept of Ambient
Intelligence (AmI) provides a
vision of the Information
Society where the emphasis is
on greater user-friendliness,
more efficient services support,
user-empowerment, and support
for human interactions. People
are surrounded by intelligent
intuitive interfaces that are
embedded in all kinds of objects
and an environment that is
capable of recognising and
responding to the presence of
different individuals in a
seamless, unobtrusive and often
invisible way.
2014/2015 Ambient intelligence: technology and design 11
Published in 2001
13. Comprehensive AmI definition
• “An Ambient Intelligence system is a digital
environment that proactively, but sensibly, supports
people in their daily lives”
Cook et al, Ambient Intelligence: Technologies, applications and opportunities, 2009
2014/2015 Ambient intelligence: technology and design 13
14. Comprehensive IE definition
• “An Intelligent Environment is one in which the
actions of numerous networked controllers
(controlling different aspects of an environment) is
orchestrated by self-programming pre-emptive
processes (e.g., intelligent software agents) in such a
way to create an interactive holistic functionality that
enhances occupants experiences.”
Augusto et al, Intelligent Environments: a Manifesto, 2013
2014/2015 Ambient intelligence: technology and design 14
16. Main steps for AmI
Sensing
Reasoning
Acting
Interacting
2014/2015 Ambient intelligence: technology and design 16
17. Main steps for AmI
Sensing
Reasoning
Acting
Interacting
2014/2015 Ambient intelligence: technology and design 17
18. Sensing
• Sensors, sensor networks
– Wired or wireless
– Independent or embedded in a device (eg. Smartphone)
• Ambient or body
2014/2015 Ambient intelligence: technology and design 18
20. Examples (wearable)
2014/2015 Ambient intelligence: technology and design 20
http://www.notchdevice.com/
Inside clothes
Haptic Feedback
Movement capture
Metria™ Informed Health
3-axis accelerometer, Galvanic Skin Response,
2 temperature sensors (body, skin)
Self-tracking
Steps, calories, sleep, distance, …
21. Sensor data
Huge Noisy
Missing points
Heterogeneous
measures
Time- & space-
dependent
Raw vs.
processed
• “Making sense of data”
• Stream data processing
• Signal processing
algorithms
• Sensor fusion
• Big data handling
• Filtering,
disambiguation,
interpretation
2014/2015 Ambient intelligence: technology and design 21
22. Main steps for AmI
Sensing
Reasoning
Acting
Interacting
2014/2015 Ambient intelligence: technology and design 22
23. Reasoning
• Needed to provide responsiveness and adaptability
• Interpret and recognize context and activity
• User modeling, context modeling
• Context detection and context awareness
• Mobility tracking
• Activity recognition, activity prediction
• Decision making
– Acting vs. suggesting
• Centralized vs. Distributed
2014/2015 Ambient intelligence: technology and design 23
24. Main steps for AmI
Sensing
Reasoning
Acting
Interacting
2014/2015 Ambient intelligence: technology and design 24
25. Acting
• Home automation systems (lights, doors, windows,
temperature, …)
• User Interfaces or Wearable devices (notifications,
information, alerting, …)
• Robots
2014/2015 Ambient intelligence: technology and design 25
26. Main steps for AmI
Sensing
Reasoning
Acting
Interacting
2014/2015 Ambient intelligence: technology and design 26
27. Interacting with users
• Traditional user interfaces
– Web, mobile
• Home fixtures
• Natural user interfaces
– Speech, gestures, body motion tracking,
emotions, facial expressions, attention, …
– Interaction bypasses ICT equipment
(“disappearing computer”)
• Should be the most important aspect
of an AmI, but…
2014/2015 Ambient intelligence: technology and design 27
29. Related Buzzwords…
• IoT – Internet of Things
– Physical objects are part of the Internet infrastructure.
Objects are capable of interacting with other objects
• M2M – Machine to machine communication
– Technologies that allow both wireless and wired systems to
communicate with other devices of the same type
• IoE – Internet of Everything
– The Internet of Everything is the networked connection of
people, process, data, and things (Cisco)
• Smart Homes, Domotics
– Today’s solutions, with limited or no intelligence
2014/2015 Ambient intelligence: technology and design 29
31. Application areas
• The general principles are applicable to different
types of environments
– Private homes
– Public/shared buildings
– Open spaces
• The type of applications is extremely varied
• The approach and many founding technologies are
shared across application domains
2014/2015 Ambient intelligence: technology and design 31
35. Features
• What are the features characterizing an AmI system?
• What is really an “intelligent” system, versus a
“smart” one, versus an “automated” one?
• What characteristics are implied by the AmI
definition(s)?
2014/2015 Ambient intelligence: technology and design 35
37. Sensitive & Responsive
• Able to sense
– The environment
– The occupants
• Able to process sensor
data
• Able to respond to user
needs
• Able to act on the
environment
2014/2015 Ambient intelligence: technology and design 37
38. Adaptive
• Able to infer a situational context
– From environment data
– From user data (identity, presence, actions, …)
– From statistics and preferences
– From external information sources
• Able to adapt to the context
– the interpretation of sensing
– the generated response
• «Context-Aware Computing»
2014/2015 Ambient intelligence: technology and design 38
39. Transparent
• «The most profound technologies are those that
disappear. They weave themselves into the fabric of
everyday life until they are indistinguishable from it»
(Weiser, 1991)
• «Disappearing computer»
2014/2015 Ambient intelligence: technology and design 39
40. Ubiquitous
• Ubiquitous Computing, Pervasive Computing
– Ubiquitous: present, appearing, found everywhere
– Pervasive: spreading widely throughout an area or a group
of people
• Able to be distributed over the ambient and over
different people
• Requires mobility, miniaturization, wireless
communications, energy management
• Requires interoperability, discovery, self-configuration
2014/2015 Ambient intelligence: technology and design 40
41. Intelligent
• Incorporates Artificial Intelligence:
– Machine learning, agent-based software, robotics
– Hearing, vision, language, knowledge processing
– Semantic web, reasoning
• AI is an enabler for achieving context awareness,
adaptivity, proactive responsiveness
2014/2015 Ambient intelligence: technology and design 41
43. AmI requires complex systems
• Drawing from may different fields of Computer
Science and Electronics
• Requiring the most advanced solutions for integrating
such diverse and numerous subsystems and devices
• Needing to switch from one-off prototypes to
scalable, reusable, plug&play, industrially robust
solutions
• Industries and researchers need to play together with
standardization initiatives
• Need to (re)gain the central role of end users
2014/2015 Ambient intelligence: technology and design 43
46. Standards?
• Users are in the hands
of manufacturers
• Technologies and
protocols
– Don’t interoperate
– Rapid obsolescence
– Don’t trust new
«Universal Standards»
2014/2015 Ambient intelligence: technology and design 46
http://xkcd.com/927/
47. System overview
2014/2015 Ambient intelligence: technology and design 47
D D D D
Application
Devices
• Sensor Technologies
• Communication protocols
• Scale (local, geographic)
• Number of devices
• Sampling Frequencies
• Security/ authentication
• Data types
• Bidirezional
• Data Encoding
• Polling / Pushing
Infrastructure &
AmI
• Ambient sensors (temperature, humidity, CO2,
pollutants, illumination, wind, …)
• User sensors (presence, movement, accesses,
…)
• Energy meters (electrical energy and power,
gas and water usage, …)
• Actuators (relays, valves, motors, displays, …)
• Automation Sistems
• Types of interconnection
• Dashboard (visualization, monitoring, …)
• Historical data (storage, querying,
wharehouses, …)
• Alarms (anomalies, thresholds, …)
• Remote control (actuation, [de]activate
actions, set-points, …)
• Trends (historical data analysis, real-time data
analysis)
• Real time computations (computing derived
values, virtual sensors, …)
• Ambient intelligence (comfort, energy saving,
scenarios, dynamic adaptation, …)
• Integration with information systems
48. In the real world
2014/2015 Ambient intelligence: technology and design 48
D D D D
Devices
AmI
Infrastructure
Application
Application
Application
Application
Application
D
Wired
Wireless
Custom-made
Appliance
Internet
49. Errors to avoid
2014/2015 Ambient intelligence: technology and design 49
D D D D
Application
Devices
Infrastructure
D D
D
D
Application
Infrastructure
D
«All you can eat» application The «tooooo smart gateway»
Devices
51. Open Horizontal AmI Architectures
2014/2015 Ambient intelligence: technology and design 51
D D D D D D D D D D D D
Application Application ApplicationApplication
Neutral representation
Basic services
API
Protocol interfaces/drivers
Data exchange
Real time processing Intelligence Application
(service, agent)
Intelligence
52. An example middleware
2014/2015 Ambient intelligence: technology and design 52
D D D D D D D D Domotic devices (switches,
buttons, relays, sensors, meters,
…)
Domotic bus (wired, wireless)
GW
Bus-to-IP gateway
Bus-to-serial gatewayGW
Ethernet, Wi-Fi, USB
User
Interface
Mobile, Web, Home Display,
Multi Touch, Accessibility,
Natural language, …
Data
analysis
ERP, Web services, Stream
processors, Datawarehouse
Dog
Bundles
Device abstraction, Event
abstraction, State abstraction,
Rules engine, …
User
Interface
User
Interface
Smart
Appliance
53. Resources
• Scenarios for Ambient Intelligent in 2010, ISTAG Group, 2001
• Smart Environments: Technology, Protocols and Applications,
DJ Cook, S Das, John Wiley & Sons, 2004
• How smart are our environments? An updated look at the
state of the art, DJ Cook, SK Das - Pervasive and mobile
computing, 2007
• Ambient intelligence: Technologies, applications, and
opportunities, DJ Cook, JC Augusto, VR Jakkula - Pervasive and
Mobile Computing, 2009
• Intelligent environments: a manifesto, JC Augusto, V Callaghan,
D Cook, A Kameas, I Satoh - Human-centric Computing and
Information Sciences, 2013
• Ambient Intelligence: A Survey, F Sadri, ACM Comput. Surv.,
October 2011
2014/2015 Ambient intelligence: technology and design 53
54. License
2014/2015 Ambient intelligence: technology and design 54
• These slides are distributed under a Creative Commons license
“Attribution – NonCommercial – ShareAlike (CC BY-NC-SA) 3.0”
• You are free to:
– Share — copy and redistribute the material in any medium or format
– Adapt — remix, transform, and build upon the material
– The licensor cannot revoke these freedoms as long as you follow the license
terms.
• Under the following terms:
– Attribution — You must give appropriate credit, provide a link to the license,
and indicate if changes were made. You may do so in any reasonable manner,
but not in any way that suggests the licensor endorses you or your use.
– NonCommercial — You may not use the material for commercial purposes.
– ShareAlike — If you remix, transform, or build upon the material, you must
distribute your contributions under the same license as the original.
– No additional restrictions — You may not apply legal terms or technological
measures that legally restrict others from doing anything the license permits.
• http://creativecommons.org/licenses/by-nc-sa/3.0/