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Machine Learning & Big
Data In Smart City
Amsterdam smart city case study
Data Mining
Source: [7]
What is NOT a Smart City?
> It is not just an android application!
> It is not just a series of camera!
> It is not just a monitor in metro or bus!
> It is not a computer for each municipality employee!
What it is?
> It’s a composite of approach with a culture
A Simple Example
Source: [1]
We need these infrastructures:
> A alway <on> internet
> Free or very cheap internet
> + Culture
Amsterdam’s Intelligent Approach
> Amsterdam is a leading city in this field
> +30 Techs
> +50 Conferences
> + 130 Companies
> +15 Projects
Amsterdam’s Intelligent Approach
In 4 Major SubFields
1.Sustainable Home
Source: [2]
2. Sustainable Working
Source: [3]
3. Mobilities
Source: [4
4. Public Space
Source: [5]
A Case Study: Foundation Repair and Big Data
Source: [6]
Intellers Company
http://intellerts.com/see-our-work/foundations-repair-and-big-data/
> Predicting the likelihood of subsidence of houses and other
buildings
What Problem They Solved?
> Repairing foundations is expensive: on average between
30,000 and 50,000 euros per house. Investigating the quality
of the foundations also requires lots of time and money every
year. The inspection of the piles is done physically, and the
subsidence is also recorded manually, using measuring
poles.
135,000,000 Data Records
> Parteon, expert building data
> Zaanstad, foundation data
> KNMI, weather data
> Kadaster, property data
> Sky Geo, subsidence measurements
> ESRI, sea level data
> Het Waterschap, water level measurements
> NLextract, various geographic data
Task They Solved
Source: [6]
3 Lesson From Amsterdam
1.Failure is acceptable
2.A Culture Needed
3.Localization Vs Indigenous
Sources:
[1]: http://www.innovativeeideas.com/2017/02/secured-smart-healthcare-monitoring.html
[2]:https://theappsolutions.com/images/articles/105/SmartHome.jpg
[3]: http://www.straitstimes.com/singapore/at-your-service-short-term-office-space-some-with-secretarial-
support Start-up owners Alex Yeo (right), 31, and Shawn Lau, 19, like working from the smart work centres at three community libraries
because of their convenient locations and conducive environment.ST PHOTO: NG SOR LUAN
[4]: https://www.crunchbase.com/product/smart-transportation-market-size-share-forecast-analysis-report-upto-2022#/entity
[5]: http://www.publicspace.org/en/post/placemaking-and-the-future-of-cities
[6]: http://intellerts.com/wp-content/uploads/2016/12/P1000028-2-1-1920x1010.jpg
[7]: http://sebastianraschka.com/Articles/2015_pca_in_3_steps.html

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