Andova, Vesna

Preferred name

Andova, Vesna

Official Name

Andova, Vesna

Main Affiliation

vesnaa@feit.ukim.edu.mk

Now showing 1 - 10 of 39

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Green Infrastructure Impact on Air Pollution Reduction Considering the Effects of Meteorological and Climate Factors
(2019-10)
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A major concern in urban areas is the low quality of air with high levels of particulate matter and various pollutants that have significant impacts on human health and global environment. Thus, there is an urgent need to reduce air pollution by implementing various short- and long-term actions. Skopje is also struggling with unprecedented increase in air pollution. This is the major motivation for the research presented in the paper. The objective is to provide an assessment of the influence of green walls on air quality in urban areas and correlate it with meteorological factors. Research has shown that one of the methods for decreasing air pollution in urban areas is by implementation of green walls, as plants absorb the particulate matter through their leaves and growing medium. The paper presents research undertaken to assess the influence of the meteorological factors, such as wind speed and direction, relative humidity, and temperature on air quality and to determine which one has the highest impact on particulate matter reduction. With daily monitoring of temperature, humidity, and heat variations near and within the green wall and a reference case, it is possible to analyse the effect of the green walls on air pollution reduction. The air quality monitoring system used to perform the experiments is a low-cost and energy-efficient solution that uses wireless sensor network technology that can be easily deployed in highly polluted areas. The paper presents results of the data analysis of the effect of meteorological and climatic factors in particulate matter reduction and the influence of the wind conditions, seasonal variations, and plant characteristics.
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Distances on nanotubical structures
(Springer Science and Business Media LLC, 2016-05-12)
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Knor, Martin
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Škrekovski, Riste
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On facial unique-maximum (edge-)coloring
(Elsevier BV, 2018-03)
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Lidický, Bernard
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Lužar, Borut
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Škrekovski, Riste
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Low-cost energy-efficient air quality monitoring system using sensor network
(Inderscience Publishers, 2021)
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Mateska, Aleksandra Krkoleva
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Krstevska, Maja Celeska
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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.
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A CLASS OF SELF-SIMILAR NETWORKS
(Journal of Electrical Engineering and Information Technologies, 2019)
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Dimovski, Pavel
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Location Impact on Particulate Matter (PM) Concentration Reduction Dduring COVID-19 Pandemic
(IEEE, 2022-06-16)
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Mateska, Aleksandra Krkoleva
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Krstevska, Maja Celeska
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Significant topic of interest in many European countries is monitoring the air pollution, especially particulate matter (PM) concentrations, mostly because of its harmful effects on the human health. Measurement of the particulate matter concentrations can be done in a different ways, one of the possible solutions is by using low-cost and energy-efficient monitoring system using sensor network. The main goal of this paper is to analyze the influence of the green areas on particulate matter mitigation, analyzing the period of pandemic COVID-19 restrictions. The paper analyze the connection among the impact of the location of the sensor nodes and green areas and other objects to the particulate matter concentrations using various statistical tools and hypothesis testing. The tests are based on the data collected during summer 2020 at the technical campus of the Ss Cyril and Methodius University. This is the period when the World Health Organization (WHO) declared COVID-19 pandemic, and the universities were closed. In this research it can be confirmed that green areas at the Faculty pacio, reduced traffic vehicles and not having presence of the faculty staff in this period have a high impact in the reduction of particulate matter.
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A Comprehensive Study on Air Pollution Prediction in North Macedonia: Insights from LASSO Modeling
(IEEE, 2024-06-03)
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Pechkova, Sijche
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Pechkov, Aleksandar
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Krstevska, Maja Celeska
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Mateska, Aleksandra Krkoleva
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On Three Constructions of Nanotori
(Mathematics, MDPI, 2020-11-16)
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Dimovski, Pavel
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Knor, Martin
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Škrekovski, Riste
There are three different approaches for constructing nanotori in the literature: one with three parameters suggested by Altshuler, another with four parameters used mostly in chemistry and physics after the discovery of fullerene molecules, and one with three parameters used in interconnecting networks of computer science known under the name generalized honeycomb tori. Altshuler showed that his method gives all non-isomorphic nanotori, but this was not known for the other two constructions. Here, we show that these three approaches are equivalent and give explicit formulas that convert parameters of one construction into the parameters of the other two constructions. As a consequence, we obtain that the other two approaches also construct all nanotori. The four parameters construction is mainly used in chemistry and physics to describe carbon nanotori molecules. Some properties of the nanotori can be predicted from these four parameters. We characterize when two different quadruples define isomorphic nanotori. Even more, we give an explicit form of all isomorphic nanotori (defined with four parameters). As a consequence, infinitely many 4-tuples correspond to each nanotorus; this is due to redundancy of having an “extra” parameter, which is not a case with the other two constructions. This result significantly narrows the realm of search of the molecule with desired properties. The equivalence of these three constructions can be used for evaluating different graph measures as topological indices, etc.
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Subdivision of interpolating polynomials
(2012)
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Kocic, Ljubisa
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Fullerene Graphs and Some Relevant Graph Invariants
(2014)
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Kardoš, František
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Škrekovski, Riste

Andova, Vesna

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