7 Feb 2020

Introduction — Anastasiia Pepoeva


   Hello, my name is Anastasiia and I am 19 years old. I am from Russia, and yes, I am an exchange student.

   At my home university, I am studying in the direction of information security at SUAI in St. Petersburg. However, here I chose the direction of game development. Do not ask me why I chose this.

   I have little experience in coding in C and C++. Now I'm teaching Java so that I can pass the exams at home.

   I love to play the piano and sing. I very often listen to music and sing along to it. I think many people consider me crazy. I also like to read, draw and watch the series.

   I believe that participation in such events (Capstone project) helps to upgrade your English skills, teaches us to work in a team. Well, of course, this is an experience. And any experience is very important for us, both bad and good.

   P.S. 
Sorry, this photo was taken in 2016, but I think I have not really changed.

2 Feb 2020

Week Report - Week 5


Tuesday 28.1.

On Tuesday, we focused on doing some of the group tasks we had missed the previous week. We also worked on the Raspberry, and wrote some code to get the temperature, humidity and CO2 readings to a JSON-file, which we can later use to send the data over to the server.

Friday 31.1.

On Friday we didn’t have any group tasks to do, so we were able to fully focus on the Raspberry. Matti had gotten a response regarding the connection of our Raspberry, and we finally got it working! So now, basically everything on the Raspberry’s side is done, except for the code we need to communicate with our server. Matti set up a meeting with our “assistant PO” Tommi, who also worked on the last year’s project, to discuss how exactly should we go on from here, and to get the details of the server we are working with. Lastly, we used some time to look at the last year’s groups code and tried figure out if there is anything that we can use, but it looks like we might need to do everything from scratch.

28 Jan 2020

Group task 21 – Scrum planning


On last Friday we had a Scrum meeting where we selected a Scrum master for this sprint and discussed future tasks and everyone’s parts in doing these tasks. We’ve also updated these tasks to Trello, which we use to keep track of our project.

In short, the tasks are as follows:
Sami, Matti and Rami – Raspberry Pi, sensors and NB-IoT connection
Patrik, Jan, Pyry and Anastasiia - Programming
Ife, Minh and Eetu – Machine Learning and Azure

Jan will also be our scrum master for this sprint.

The main outcomes of the week were already covered in the week report, where you can find more about how our week went.

24 Jan 2020

Week Report - Week 4 - Progress!


On Tuesday we finally made some progress with the Raspberry Pi and the sensors, as we got some readings from the sensors! Next, we need to decide how to store the data, and more importantly how to get it transferred over the internet. We still have some problems with the cellular connection, as we can’t get the connection working. We think there might be a problem with the data subscription, but we need to investigate that further.

Thursday we had a PO meeting, which was also attended by some representatives from the city of Turku. We will have another blog post going slightly more in depth on the details of the meeting, but in short, the city of Turku has a similar project to that of ours, and we will be comparing results and other differences between our sensors and theirs.

On Friday’s meeting we discussed the PO meeting, and how we should move on from here. Unfortunately, Matti was sick and since he had the Pi and the sensors, we couldn’t do much practical work. We did review some of the code we used to get the sensors working and created a GitHub repository for working on the code.

This week we also got a brand-new team member, Anastasiia! It’s hard to bring in new people when the project has already been going on for a while, but we did our best to get her up to date with all the stuff we’ve been doing and added her to all of our workspaces.

17 Jan 2020

Week report - Week 3 - Pitch review


First blog post of the decade!
This week was the pitching week and our pitch was held by Matti. The pitching went alright despite Matti losing his train of thought towards the end of the pitch. Luckily the slideshow was easy to follow. Sadly, we didn’t make the pitching finals but overall the group was content with the results.

Now that pitching is over and done with, we can start focusing on our project full force. We set a PO-meeting with us and representatives from the City of Turku for Thursday next week. We also have been working on reviewing code made by past groups and have been hard at work with getting our NBIOT device to work and the connection running.

Our peer review groups for the pitching were Jameshaft and Jobitti. Here is our comments on the groups:

Jameshaft
The slides maybe had a bit too much text, but otherwise the presentation was good. Speech was well delivered and captivating. Ending the presentation with a slogan was a nice touch.


Jobitti
A well-rehearsed and captivating presentation. Speech was clear and understandable and delivered well. The start of the presentation immediately caught your interest and had you listening through the whole presentation. Could have more slides to have a visual representation of the project as well.

13 Dec 2019

Interim Report

So far, we have met with the PO twice, and we have a pretty clear vision on what our plan is when we really start working on the project at the start of next year. We are going to use a Raspberry Pi with some sensors and a cellular connection to display data regarding air quality using Microsoft Azure. We want to be able to monitor air quality and notify the user, if target values for different air quality metrics are exceeded. We are also interested in using a 3D-model of our school to display the data, but we are not yet sure if we are going to have access to the 3D-model.

For now, we have divided the work to three different parts of the project: The Raspberry Pi and the sensors, machine learning, and coding. Matti, Rami and Sami will work on the Pi and the sensors, Minh, Ife and Eetu on machine learning and Jan, Patrik and Pyry on the code. In addition to these tasks, Rami is our project manager, and Matti is our project contact person.

Our desired end result is to get the Pi and the sensors to work in a way, which allows us to monitor and display data on room temperature, carbon dioxide and humidity in a visually pleasing way.

3 Dec 2019

Week Report - Week 48 - Preparations

Tuesday 26.11.

On Tuesday we had a lecture on prototyping. Which in our project's case is a plan on how we are going to conduct our sensing in the classrooms. We started this planning already last week so we were ahead of schedule a bit. But we did continue those plans and they will be posted on the blog as a separate post.

Friday 29.11.

Friday we didn't have a lecture, so we just had a group meeting about the state of our project. Next Tuesday we have a PO meeting where we will be introduced to the sensors that we will be using. We also made a base PowerPoint presentation for our upcoming presentations or pitches about the project.