GreenIoT Uppsala

Big Data Analysis and Visualization
Master Thesis Project

To Do

Data Analysis

We are trying diffrent machine learning techniques to predict the values of the gases at any time around the day, so we forcast these values for the coming few hours, and give an idea about how acurate are our predictions.

Data Visualization

visitors are able to see diffrent types of charts and graphs that show meaningful and easy to read information realted to the air quality around the day in diffrent location in our lovely city Uppsala.

Open APIs

By the end of this project developers will have the ability to access our APIs to build their own applications.

Mobile App

This mobile app will be the first application using the provided APIs

Do You Know?

GreenIoT project has received 10Msek from Vinnova, together with another 10Msek co-funding from Uppsala Kommun and industrial partners.

Members

  • Abdul Rahman Khankan
  • Master Student
  • Computer science
  • Uppsala University
  • abkh3883@student.uu.se
  • Mohamad Alsioufi
  • Master Student
  • Computer Science
  • Uppsala University
  • moal5821@student.uu.se
  • Xiuming Liu
  • Supervisor
  • Doctoral Student
  • Uppsala University
  • xiuming.liu@it.uu.se
  • Edith C. H. Ngai
  • Reviewer
  • Associate Professor
  • Uppsala University
  • edith.ngai@it.uu.se
  • Zhitao He
  • Researcher
  • M.SC
  • SICS Swedish ICT
  • zhitao@sics.se

Do You Know?

There are several sensors that sends the readings to our database.

Project