BSc Thesis: Time Series Analysis of Air Pollution Parameters

Our student at the Faculty of Applied Sciences and Technologies, ms Teodora Ukšanović, defended her BSc thesis in Mathematics today on the use of time series in analysis of air pollution parameters. Ms Ukšanović worked under mentorship of prof. Nataša Kovač.

Another BSc thesis and mentorship in eco monitoring

ANSTRACT – How time series are presented as stochastic processes is given an overview of the terms that describe the mentioned processes, so it is roughly below the theory of the time series itself. In the analysis of time series, the waves are especially linear stochastic processes, as a class of stochastic processes. There are 3 groups of linear processes used to model time series. These are self-regressions process (AR (p)), the process of moving media (M A (q)) and the autoregressive process of moving middle (ARM A (p, q)), which is a combination AR (p) and M A (q). How non-stationary time series can be transformed into stationary ones, which enables this transformation model autoregressive integrated moving average ARIM A (p, d, q). In the last chapter will describe a method for analyzing and forecasting air quality.

BSc Thesis: Time Series Analysis of Air Pollution Parameters

Ecosystem Restoration Guide

To encourage the revival of ecosystems everywhere, UNEP has published a practical guide to ecosystem restoration. Released at the start of the UN Decade on Ecosystem Restoration 2021-2030, the Ecosystem Restoration Playbook provides an introduction to the range of actions that can slow and halt the degradation of ecosystems and foster their recovery. The report by the UN Decade on Ecosystem Restoration can be found here.

Click on image to learn more

A new paper on ecological monitoring with Blynk and ESP32

Researchers from the UDG just presented a paper titled “An Internet of Things System for Environmental Monitoring Based on ESP32 and Blynk” at the 26th IEEE International Conference on Information Technology. The authors of the paper are D. Babic, I. Jovovic, T. Popovic, N Kovac, and S. Cakic. The paper proposes a simple solution for eco monitoring based on ESP32 and Blynk platform. The researchers used materials and tools provided by the ECOMON IoT Lab.

ABSTRACT – This study goes through basic principles of environmental monitoring in order to propose a simple real-time environmental monitoring based on the Internet of Things technology. The proposed solution utilizes inexpensive and widely available hardware and software components making it suitable for both personal and commercial use. The hardware of the sensor node is based on an ESP32 microcontroller equipped with sensors for environmental monitoring. The data is collected and integrated using Blynk’s cloud-based web application as a backbone of the developed system. Blynk cloud platform provide features for storing, managing, and visualizing data received from monitoring device. The proposed system keeps track of air temperature, humidity, air pressure and dust-like particles concentration in the air. The system is characterized by low cost and low energy consumption. The sensor node has been installed and tested alongside a commercial system for ecological monitoring at the university building.

The paper presented at the IEEE IT2022

ECOMON project presented at IEEE IT2022

ECOMON project was presented by Mr. Ivan Konatar at the 26th IEEE International Conference – Information Technology – IT2022. The conference was organized in a virtual setting because of all situation about pandemic. The conference had a special session dedicated to presentation of project results for the projects implemented in Montenegro and the region.

ECOMON presented at the IEEE IT2022
Accessing real-time CAQI data during the presentation

The upcoming IEEE IT2022 conference

ECOMON project will be featured in the upcoming IEEE IT2022 conference. The project will be presented in the session dedicated to IT related projects implemented in Montenegro and the region. Also, young researchers from the UDG will be presenting a paper on implementation of IoT system for ecomonitoring implemented in the ECOMON IOT lab. More about the conference can be found on the following link.

IT2022 will be a fully virtual event this year

Climathon update: UDG students won third place

Last weekend, November 27 and 28, the second Climathon Podgorica event was held dedicated to improving the quality of life by solving traffic problems, and after the competition, three winning teams were selected. Climathon in Montenegro is organized by the NGO “Nest”, under the auspices of the Delegation of the European Union to Montenegro, in cooperation with the United Nations Development Program (UNDP), the Capital, UNIQA Insurance, the Chamber of Commerce of Montenegro, Erste Bank, Eco Fund, Glovo and Red Bull. To learn ore about the event please click on the following link.

UDG students, Mia Mugosa, Neda Dedovic and Zoja Scekic, won third place at the competition.

Smart solutions by smart ladies from UDG
Presentation in front of the organizers and jurors

Climathon Podgorica 2021

After last year’s successful realization of the first Climathon, this year’s Climathon, which will be held on November 27 and 28, will be dedicated to improving the quality of life by solving traffic problems. A team made of UDG students applied for the competition and they were selected as one of 10 teams that will compete.

Climathon in Montenegro is organized by the NGO “Nest”, under the auspices of the Delegation of the European Union to Montenegro, in cooperation with the United Nations Development Program (UNDP), the Capital, UNIQA Insurance, the Chamber of Commerce of Montenegro, Erste Bank, Eco Fund, Glovo and Red Bull.

More info about the event is available at the following link.

BSc Thesis: IoT and Ecological Monitoring

Our student at the Faculty for Information Systems and Technologies, mr Dejan Babić, defended his BSc thesis today on IoT applications in ecological monitoring. Mr. Babić used the lab equipment and sensors from the ECOMON lab.

ABSTRACT – Internet of Things is one of the most popular and most important concepts of today’s technological scene. Modern world of information technologies is almost unimaginable without it. The number of devices that have access to internet has surpassed the number of people on our planet a long time ago, and that number keeps growing rapidly. More of those devices means that there is more data that is generated as the product of their use. Many corporations are in race to collect as much data as possible, which should bring them some new values. However, the benefit of quick information is also provided to an independent individual, who is increasingly busy, as the modern world imposes it on him. The idea and realization of the Internet of Things is such that it becomes the main medium for fast data collection and exchange, which makes the devices interconnected. This thesis will try to show the basic principles according to which the Internet of Things works through a practical example of an environmental monitoring station.

Mr.Babic presenting his work on Internet of Things and Ecological Monitoring
Practical demonstration with sensors and microcontroller

Smart Cities as Part of the Digital Economy

On Monday, September 20, 2021, a workshop on “SMART CITIES AS PART OF THE DIGITAL ECONOMY” was held in the premises of KIC “Budo Tomović”. The workshop was organized by the Faculty of Information Technology – University Mediteran within the IPA project “Smart Energy Community for the Smart Cities – SESC”. The project is funded by the EU under the Interreg IPA II CBC ITALY-ALBANIA-MONTENEGRO program.

Members of the ECOMON project, Strahinja Jakić and Ivan Konatar, participated in the workshop on behalf of the University of Donja Gorica. The mentioned members of the ECOMON project brought closer to the audience innovative and scientific research projects that are being implemented at UDG.

Presentation of ECOMON project at the workshop
Workshop: Smart cities as part of the digital economy

River Zeta Water Quality Monitoring

Researchers from ECOMON project have continued installing the field equipment for ecological monitoring. A water quality IoT sensor node has been installed in Danilovgrad municipality for monitoring water quality parameters. The device is connected to a real-time Cloud platform and it is continuously collecting the sensor data. You can check the real-time data on our website link.

Water quality sensor node installed on river Zeta near Danilovgrad
Monitoring water quality parameters in Zeta