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14.12.2022.

Original scientific article

GIS BASED VULNERABILITY ASSESSMENT OF ILLEGAL WASTE DISPOSAL – CASE STUDY EAST SARAJEVO

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

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Edited by:

Akad. prof. dr Neđo Đurić

No 28 (2023):

Archives for Technical Sciences

Published: 01.06.2023.

Current issue
01.06.2023. Review paper
CHOICE OF EXCAVATION METHOD OF THE ORE DEPOSITS

By Slobodan Majstorović, Dražana Tošić, Duško Torbica

01.06.2023. 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

01.06.2023. 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

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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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01.06.2023. 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.

01.12.2022. Review paper
GEOLOGICAL AND ECONOMIC CHARACTERISTICS OF DOLOMITE DEPOSIT NIKOLIN POTOK NEAR BUGOJNO

By Dževad Forčaković, Rejhana Dervišević

01.06.2023. 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

01.06.2023. Review paper
CHOICE OF EXCAVATION METHOD OF THE ORE DEPOSITS

By Slobodan Majstorović, Dražana Tošić, Duško Torbica

14.12.2022. Original scientific article
GIS BASED VULNERABILITY ASSESSMENT OF ILLEGAL WASTE DISPOSAL – CASE STUDY EAST SARAJEVO

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

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.

14.12.2022. Review paper
LANDSLIDE REMEDIATION ON LOCATION ČOLE, THE SETTLEMENT ŽELJEZNO POLJE, ŽEPČE MUNICIPALITY

By Zlatan Talić, Dženita Cerić, Ajla Rekić, Anela Hrnjica

14.12.2022. Original scientific article
CORRELATION AND REGRESSION RELATIONSHIPS OF PARAMETERS OF RAINWATER DRAINAGE FROM ROADS

By Anadel Galamić, Zahid Bašić, Nedim Suljić

In order to find the optimal solution for the drainage of rainwater from roads in urban areas, as well as for the evaluation and ranking of conceptual solutions, appropriate mathematical models and software packages were used in this research. For relevant rain episodes, i.e. rainfall of appropriate duration and intensity, runoff coefficients and flows were taken into account and analyzed according to the rational method, all for the purpose of obtaining data on the amount of rainwater entering the sewage system. Through this research, very good correlations and regressions were established between the cross slope of the road and the parameters of rainwater drainage from the road, as well as the correlation and regression relationships of the cross slope of the road and the efficiency of the drain. Likewise, the dependences of the drainage parameters, the efficiency of the drains and the cross slope of the road were determined, expressed through mathematical functions.

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