Faculty of Electrical Engineering and Information Technologies
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Skopje
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Item type:Publication, Green Infrastructure Impact on Air Pollution Reduction Considering the Effects of Meteorological and Climate Factors(2019-10); ; ; 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. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, EVALUATING THE UNCERTAINTY OF A VIRTUAL POWER QUALITY DISTURBANCE GENERATOR(IMEKO, 2023); Taskovski, Dimitar - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Analysis of Two-Tier LTE Network with Randomized Resource Allocation and Proactive Offloading(Springer Science and Business Media LLC, 2016-07-02); - Some of the metrics are blocked by yourconsent settings
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Item type:Publication, Modeling the arrangement of turbines for onshore wind power plants under varying wind conditions(Wind Integration, 2018-10); ; ; ; Fickert, LotharWind field layout optimization concerning various parameters is a major point in planning and will influence the revenue for the whole life of the installation. Besides the obvious impact of wind distribution also other parameters like connection costs and levelized costs of energy influence the optimum layout and have to be included in a realistic optimization algorithm. In this paper the sophisticated optimization of wind field layout with of two fundamentally different heuristic algorithms is investigated. To do so, detailed real-world data from an existing wind field in Bogdanci, Macedonia is utilized by employing real wind field data we are able to calibrate model adequacy and ascertain a model that will serve as a referent guidance in the planning of future onshore wind fields. Different layouts were designed using sophisticated algorithms for handling the resulting high-dimensional, highly nonlinear optimization problem. In particular, a nondominated sorting genetic algorithm (NSGA) and a mixed discrete particle swarm optimization algorithm (MD-PSO) were applied. Both optimization algorithms established bi-objective fitness functions, in particular- minimizing the levelized cost of energy and maximizing the capacity factor. By comparing the results obtained with the existing layout, it is established that both optimization algorithms are adequate in determination of wind power plant layouts. It is proven that the implementation of sophisticated optimization methods can results in essential savings during the whole lifetime of the wind field. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Проценка на осетливоста на шум на алгоритам за сегментација на ЕКГ сигнал со методи за справување со шум(2022-06) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Joint Atomic Norm Based Estimation of Sparse Time Dispersive SIMO Channels with Common Support in Pilot Aided OFDM Systems(Springer Science and Business Media LLC, 2016-07-16); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, The representation of spoken vowels in high gamma range of cortical activity(2021-09); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Одредување на распределбата на потенцијалот и густината на струјата низ човеково мускулно ткиво побудено со струен извор(2012-09); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Estimation of Sparse Time Dispersive Channels in Pilot Aided OFDM Using Atomic Norm(Institute of Electrical and Electronics Engineers (IEEE), 2015-08);