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Arhiv za tehničke nauke / Archives for Technical Sciences N0 31

Issue 31 2024

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Edited by:

Akad. prof. dr Neđo Đurić

No 31 (2024):

Archives for Technical Sciences

Published: September 2024

29

Issues

311

Articles

441

Autors

323451

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December 2022 Original scientific article Environment
GIS BASED VULNERABILITY ASSESSMENT OF ILLEGAL WASTE DISPOSAL – CASE STUDY EAST SARAJEVO

By Mitar Krsmanović, Sanda Šušnjar, Jelena Golijanin, Aleksandar Valjarević

This research represents the results of field work conducted in the period from March 29 to May 29. 2020, to determine and record the location of illegal waste disposal sites in the municipalities of Istočno Novo Sarajevo and Istočna Ilidža. The location of illegal waste disposal sites was analyzed based on two groups of factors: space exposure and space sensitivity. The analysis included following exposure factors: distance from urban settlements, distance from roads and population density and sensitivity factors: land cover, hydrogeological characteristics of the substrate, distance from springs and watercourses and land slope. In addition to the location of illegal waste disposal sites, it was analyzed the potential vulnerability of space based on both groups of factors. Final map of spatial vulnerability was created using multi-factor analysis. This work emphasizes the possibility of using easily accessible devices for recording the locations of illegal waste disposal sites, as well as the importance of geographic information systems in the analysis and monitoring of the state of the environment. Based on the example presented in the work, the possibility of applying a similar model on the territory of other municipalities is given, with the aim of preventing the negative consequences of pollution on human health and the environment.

Current issue
September 2024 Original scientific article
A DATA DRIVEN APPROACH THROUGH IOMT BASED PATIENT HEALTHCARE MONITORING SYSTEM

By E Veera Boopathy, M.A.Y Peer Mohamed Appa, S Pragadeswaran, D Karthick Raja, M Gowtham, R Kishore, P Vimalraj, K Vissnuvardhan

September 2024 Original scientific article
IOT USE IN A FARMING AREA TO MANAGE WATER CONVEYANCE

By G.K Monica Nandini

September 2024 Original scientific article
EXPERIMENTAL STUDY ON OPTIMIZING THE FUSED DEPOSITION MODELING PARAMETERS FOR POLYETHYLENE TEREPHTHALATE GLYCOL MATERIAL USING TAGUCHI METHOD

By M Prasath, P.S Sampath, C Saravanan, R Gokul, J Hari Prakash

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“All papers submitted to the editorial office of the journal are reviewed and approved by the Editorial Board and sent to reviewers. Papers accepted by reviewers are published in the next issue of the journal. Papers that are not accepted by the reviewers are returned to the authors.“

Acad. prof. Ph.D. Neđo Đurić

Editor-in-Chief of the

„Archives for Technical Sciences“

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June 2023 Original scientific article
STEP TOWARDS INTELLIGENT TRANSPORTATION SYSTEM WITH VEHICLE CLASSIFICATION AND RECOGNITION USING SPEEDED-UP ROBUST FEATURES

By Janak Trivedi, Mandalapu Sarada Devi, Brijesh Solanki

Vehicle classification is a crucial task owing to vehicles' diverse and intricate features, such as edges, colors, shadows, corners, and textures. The accurate classification of vehicles enables their detection and identification on roads and facilitates the development of an electronic tollcollection system for smart cities. Furthermore, vehicle classification is useful for traffic signal control strategy. However, achieving accurate vehicle classification poses significant challenges due to the limited processing time for real-time applications, image resolution, illumination variations in the video, and other interferences. This study proposes a method for automated automobile detection, recognition, and classification using statistics derived from approximately 11,000 images. We employ SURF-based detection and different classifiers to categorize vehicles into three groups. The Traffic Management System (TMS) is crucial for studying mobility and smart cities. Our study achieves a high automobile classification rate of 91% with the medium Gaussian Support Vector Machine (SVM) classifier. The paper's main objective is to analyze five object classifiers for vehicle recognition: Decision Tree, Discriminant Analysis, SVM, K-Nearest Neighbor Classifier (KNN), and Ensemble Classifier. In the discussion section, we present the limitations of our work and provide insights into future research directions.

June 2023 Original scientific article
CORRUPTION AND INFRASTRUCTURE DEVELOPMENT BASED ON STOCHASTIC ANALYSIS

By Yanan Fan, Mohammad Heydari, Mahdiye Saeidi, Kin Keung Lai, Jiahui Yang, Xinyu Cai, Ying Chen

June 2023 Review paper
ECO TOURISM DEVELOPMENT BASED ON NATURAL AND ARTIFICIAL SURROUNDINGS IN SEMBERIJA AND MAJEVICA AREA

By Dijana Đurić, Jovana Topalić Marković

June 2023 Original scientific article
THERMAL COMFORT IN BELGRADE, SERBIA: UTCI-BASED SEASONAL AND ANNUAL ANALYSIS FOR THE PERIOD 1991-2020

By Milica Lukić, Dijana Đurić

The main goal of this research is to examine thermal comfort in the central area of Belgrade (Serbia), over a period of 30 years (1991-2020). The Universal Thermal Climate Index (UTCI) was used as a measure for evaluating outdoor thermal comfort (OTC). The obtained results were considered separately for each season, as well as at the annual level. The analysis was carried out on the basis of an extensive database, which included hourly values (7h, 14h, 21h CET) of meteorological parameters, as well as their average daily, minimum, and maximum values.

The obtained values of UTCIs show a positive growth trend during all four seasons. A significant increase in the annual values of UTCIs was also recorded. Four of five years with the highest average UTCIs were recorded in the last decade of the survey, more precisely in the period 2015-2020. The years that stand out for the frequency of record spring, autumn and winter UTCIs values are 2017, 2018, 2019 and 2020. On an annual level, minimum UTCI value has rising trend of 0.099°C/year, while at maximum UTCI value, that trend is 0.081°C/year.

June 2023 Review paper
CHOICE OF EXCAVATION METHOD OF THE ORE DEPOSITS

By Slobodan Majstorović, Dražana Tošić, Duško Torbica

December 2022 Original scientific article
GIS BASED VULNERABILITY ASSESSMENT OF ILLEGAL WASTE DISPOSAL – CASE STUDY EAST SARAJEVO

By Mitar Krsmanović, Sanda Šušnjar, Jelena Golijanin, Aleksandar Valjarević

November 2023 Original scientific article
INFLUENCE OF DIFFERENT NUTRIENT SOURCES AND GENOTYPES ON THE CHEMICAL QUALITY AND YIELD OF LETTUCE

By Zoranka Malešević, Aleksandra Govedarica-Lučić, Ivana Bošković, Marko Petković, Dragutin Đukić, Vesna Đurović

The aim of this study was to examine the effect of different fertilizers on the yield and antioxidant capacity of two lettuce genotypes “Santoro RZ” and “Kiribati RZ”.

Lettuce genotypes are fertilized with organic fertilizer (Slavol) and organic-inorganic NPK fertilizer (Fitofert hemisuper plus ) during the vegetation. The analyzed parameters were root length and head weight of lettuce, total phenols, and flavonoids, as well as antioxidant capacity. Lettuce genotypes “Santoro RZ” and “Kiribati RZ” fertilized with organic fertilization showed the highest content of total phenols (358.13 ± 1.30 mg RU/100 g of fresh sample), the total content of flavonoids (114.22 ± 0.3 mg RE/100 g of fresh sample) and antioxidant capacity (neutralization of DPHH radicals 58.72 ± 1.88%).

The results revealed that the yield and antioxidant capacity of lettuce can be improved by using organic fertilizers.

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