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Arhiv za tehničke nauke / Archives for Technical Sciences N0 29

Issue 29 2023

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Edited by:

Akad. prof. dr Neđo Đurić

No 29 (2023):

Archives for Technical Sciences

Published: November 2023

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
November 2023 Review paper
RESEARCH OF MARLY ROCKS ON THE TERRAIN FORECASTED FOR CONSTRUCTION OF SILOS OBJECTS

By Neđo Đurić, Marko Đurić

November 2023 Original scientific article
SMART MINING: JOINT MODEL FOR PARAMETRIZATION OF COAL EXCAVATION PROCESS BASED ON ARTIFICIAL NEURAL NETWORKS

By Trivan Jelena, Srđan Kostić

November 2023 Original scientific article
TIME DEPENDENT DEFORMATIONS OF A COUPLED BRIDGE: A CASE STUDY

By Anđelko Cumbo, Radomir Folić

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

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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

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

December 2022 Review paper
GEOLOGICAL AND ECONOMIC CHARACTERISTICS OF DOLOMITE DEPOSIT NIKOLIN POTOK NEAR BUGOJNO

By Dževad Forčaković, Rejhana Dervišević

This paper presents the results of detailed geological investigations of the Middle Triassic dolomite deposit of Nikolin Potok, which is located west of Bugojno. Based on the established borders of surface distribution and research results, geological reserves of about 4.6 million m3 have been determined in the wider area of the deposit. The dolomite reserves that have been established so far in this area are at a low level of geological exploration. For this reason, the level of research should be significantly increased, because the calculated and confirmed reserves are very modest compared to the potential possibilities. The paper contains a description of the geological characteristics of the area and the qualitativequantitative characteristics of dolomite. The results of the conducted research point that the general geological and technical-exploitation factors are favorable and indicate profitable exploitation of the deposit in the coming period as well. Taking into account the significant raw material potential, and the possibility of expanding the existing raw material base, this area has a special significance for the perspective development of dolomite exploitation and its use in the production of technical-building stone.

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