Kartalov, Tomislav
Preferred name
Kartalov, Tomislav
Official Name
Kartalov, Tomislav
Main Affiliation
Email
kartalov@feit.ukim.edu.mk
5 results
Now showing 1 - 5 of 5
- Some of the metrics are blocked by yourconsent settings
Item type:Publication, Low-cost energy-efficient air quality monitoring system using sensor network(Inderscience Publishers, 2021); ;Mateska, Aleksandra Krkoleva; ;Krstevska, Maja CeleskaThe air pollution has a significant impact on human’s health and global environment. In urban areas the air quality significantly decreased over the past few years. One of the methods for air pollution reduction is by installing green walls, green roofs or by implementing green buildings as plants have capabilities to absorb the particulate matter through their leaves. The main goals of this paper are to present system for air quality monitoring using sensor network technology that can be easily deployed in polluted areas and to examine the influence of the experimental green wall setup to particulate matter more precisely PM10 and PM2.5 concentrations in Skopje, Republic of North Macedonia. Furthermore, the paper presents the preliminary results of the ongoing experiment developed to evaluate the impact of green walls in reduction of air polluting particles' concentrations. The air quality monitoring system can be easily replicated on other locations in the urban areas of Skopje. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Data Science and Machine Learning Teaching Practices with Focus on Vocational Education and Training(Vilnius University Press, 2023-04-19) ;Nadzinski, Gorjan; ;Zlatinov, Stefan; Dimitrovska, Marija Markovska<jats:p>With the development of technology allowing for a rapid expansion of data science and machine learning in our everyday lives, a significant gap is forming in the global job market where the demand for qualified workers in these fields cannot be properly satisfied. This worrying trend calls for an immediate action in education, where these skills must be taught to students at all levels in an efficient and up-to-date manner. This paper gives an overview of the current state of data science and machine learning education globally and both at the high school and university levels, while outlining some illustrative and positive examples. Special focus is given to vocational education and training (VET), where the teaching of these skills is at its very beginning. Also presented and analysed are survey results concerning VET students in Slovenia, Serbia, and North Macedonia, and their knowledge, interests, and prerequisites regarding data science and machine learning. These results confirm the need for development of efficient and accessible curricula and courses on these subjects in vocational schools.</jats:p> - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Low-cost energy-efficient air quality monitoring system using sensor network(Inderscience Publishers, 2021); ;Mateska, Aleksandra Krkoleva; ;Krstevska, Maja CeleskaThe air pollution has a significant impact on human’s health and global environment. In urban areas the air quality significantly decreased over the past few years. One of the methods for air pollution reduction is by installing green walls, green roofs or by implementing green buildings as plants have capabilities to absorb the particulate matter through their leaves. The main goals of this paper are to present system for air quality monitoring using sensor network technology that can be easily deployed in polluted areas and to examine the influence of the experimental green wall setup to particulate matter more precisely PM10 and PM2.5 concentrations in Skopje, Republic of North Macedonia. Furthermore, the paper presents the preliminary results of the ongoing experiment developed to evaluate the impact of green walls in reduction of air polluting particles' concentrations. The air quality monitoring system can be easily replicated on other locations in the urban areas of Skopje. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Data Science and Machine Learning Teaching Practices with Focus on Vocational Education and Training(Vilnius University Press, 2023-04-19) ;Nadzinski, Gorjan; ;Zlatinov, Stefan; Dimitrovska, Marija Markovska<jats:p>With the development of technology allowing for a rapid expansion of data science and machine learning in our everyday lives, a significant gap is forming in the global job market where the demand for qualified workers in these fields cannot be properly satisfied. This worrying trend calls for an immediate action in education, where these skills must be taught to students at all levels in an efficient and up-to-date manner. This paper gives an overview of the current state of data science and machine learning education globally and both at the high school and university levels, while outlining some illustrative and positive examples. Special focus is given to vocational education and training (VET), where the teaching of these skills is at its very beginning. Also presented and analysed are survey results concerning VET students in Slovenia, Serbia, and North Macedonia, and their knowledge, interests, and prerequisites regarding data science and machine learning. These results confirm the need for development of efficient and accessible curricula and courses on these subjects in vocational schools.</jats:p> - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Low-cost energy-efficient air quality monitoring system using sensor network(Inderscience Publishers, 2021); ; ; ; The air pollution has a significant impact on human’s health and global environment. In urban areas the air quality significantly decreased over the past few years. One of the methods for air pollution reduction is by installing green walls, green roofs or by implementing green buildings as plants have capabilities to absorb the particulate matter through their leaves. The main goals of this paper are to present system for air quality monitoring using sensor network technology that can be easily deployed in polluted areas and to examine the influence of the experimental green wall setup to particulate matter more precisely PM10 and PM2.5 concentrations in Skopje, Republic of North Macedonia. Furthermore, the paper presents the preliminary results of the ongoing experiment developed to evaluate the impact of green walls in reduction of air polluting particles' concentrations. The air quality monitoring system can be easily replicated on other locations in the urban areas of Skopje.
