Lazar Ašanin, Luka Martinović, Ž. Zečević, M. Bibuli, Roberta Ferretti, M. Caccia
{"title":"Improved LOS Guidance Law for Path Following of Underactuated USV with Sideslip Compensation","authors":"Lazar Ašanin, Luka Martinović, Ž. Zečević, M. Bibuli, Roberta Ferretti, M. Caccia","doi":"10.1109/IT57431.2023.10078645","DOIUrl":"https://doi.org/10.1109/IT57431.2023.10078645","url":null,"abstract":"In this paper, we present an improved line-of-sight guidance law (LOS) for path following of underactuated unmanned surface vehicles. In the proposed approach, the sideslip angle is treated as an unknown system state that is estimated simultaneously with the cross-track error using an augmented extended Kalman filter (AEKF). Simulation results demonstrate that the proposed guidance law exhibits faster convergence and better path following performance compared to the available LOS methods.","PeriodicalId":219296,"journal":{"name":"2023 27th International Conference on Information Technology (IT)","volume":"142 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123273142","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"FIB Analysis of Corrosion Effects on Shape Memory Alloys in Marine Environments","authors":"Nemanja Pudar, Špiro Ivošević","doi":"10.1109/IT57431.2023.10078686","DOIUrl":"https://doi.org/10.1109/IT57431.2023.10078686","url":null,"abstract":"Shape memory alloys are unique materials, capable of returning to their original shape after deforming. Due to their characteristics, Shape Memory Alloys have proven suitable for use in various fields, including aerospace, medicine and marine. One of the biggest challenges facing the practical application of Shape Memory Alloys is corrosion, which can significantly degrade its mechanical characteristics and performance. This paper presents the corrosion analysis of alloys Cu (copper), CuAl (copper, aluminum), and two samples of NiTi (nickel, titanium) using advanced information technologies. Furthermore, Focused Ion Beam analysis was used to analyze the corrosion process of the shape memory alloys which were exposed to different sea and atmospheric conditions for one month.","PeriodicalId":219296,"journal":{"name":"2023 27th International Conference on Information Technology (IT)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130743216","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Software for image analysis and inspection of optical lens","authors":"Dimitar Pepedzhiev, V. Hristov","doi":"10.1109/IT57431.2023.10078533","DOIUrl":"https://doi.org/10.1109/IT57431.2023.10078533","url":null,"abstract":"This article presents several software for free use in image analysis and inspection, and they will be designed for image analysis of optical lenses. A system has been designed that allows images to be taken on optical lenses to allow further processing. After taking the images from the optical lenses, the images were processed with the selected software products. Selected software products allowing image analysis are SEye, TopView, and Matlab-based CellProfiler. After the analysis of the software products, the software with the best indicators was selected, for which experimental studies with different luminaires were performed. Research with luminaires aims to achieve a sufficiently high level of accuracy. The achieved accuracy has a maximum error of 0.00134mm, which fully satisfies the study of images from optical lenses.","PeriodicalId":219296,"journal":{"name":"2023 27th International Conference on Information Technology (IT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130949708","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Andrej Cvijetić, Slobodan Djukanovic, Andrija Perunicic
{"title":"Deep learning-based vehicle speed estimation using the YOLO detector and 1D-CNN","authors":"Andrej Cvijetić, Slobodan Djukanovic, Andrija Perunicic","doi":"10.1109/IT57431.2023.10078518","DOIUrl":"https://doi.org/10.1109/IT57431.2023.10078518","url":null,"abstract":"This paper addresses vehicle speed estimation using visual data obtained from a single video camera. The proposed method accurately predicts the speed of a vehicle, using the YOLO algorithm for vehicle detection and tracking, and a one-dimensional convolutional neural network (1D-CNN) for speed estimation. The YOLO algorithm outputs bounding boxes around detected objects in an image, which is, in our case, the vehicle whose speed is to be predicted. As input to our 1D-CNN speed estimation model, we introduce a novel feature based on the change of area of the bounding box around the vehicle. The feature, referred to as the changing bounding box area (CBBA), is obtained by calculating the area of the bounding box, frame-to-frame, as the vehicle approaches the camera. The shape of the CBBA curve remains closely the same for all vehicles, with differences conditioned by the value of the observed vehicle’s speed. The proposed method is trained and tested on the VS13 dataset. Experiments show that it is able to accurately predict the vehicle’s speed with an average error of 2.76 km/h, with the best performing vehicle having the average error of just 1.31 km/h. The proposed method exhibits the robustness as a key advantage, eliminating the need for prior knowledge of real-world dimensions such as the vehicle size, road width, camera distance and angle in relation to the road etc.","PeriodicalId":219296,"journal":{"name":"2023 27th International Conference on Information Technology (IT)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124201046","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Authenticated Key Exchange in Underwater Acoustic Sensor Networks based on Implicit Certificates: Performance Analysis","authors":"Bogdan Krivokapic, S. Tomovic, I. Radusinović","doi":"10.1109/IT57431.2023.10078623","DOIUrl":"https://doi.org/10.1109/IT57431.2023.10078623","url":null,"abstract":"As the utilization of Underwater Acoustic Sensor Networks (UASNs) in industrial and military operations increases, there is a requirement to guarantee the confidentiality and integrity of the data being transmitted. However, protecting communication in UASNs is very challenging as they are often deployed in unattended environments without physical protection. The slow propagation speed of underwater acoustic waves and low channel bandwidth are additional challenges affecting the design and implementation of security mechanisms. This paper outlines the main disadvantages of using conventional key-exchange protocols in resource-constrained environments such as UASNs, and proposes the utilization of implicit certificates and Hashed One-pass Menezes-QuVanstone (HOMQV) key-exchange protocol as an alternative. We implemented the proposed solution on several computing platforms and present the performance evaluation results in terms of computational time and communication overhead. Our analysis shows that using HOMQV in combination with Elliptic Curve Qu-Vanstone (ECQV) protocol for implicit certificate generation can significantly reduce communication and power consumption requirements compared to Diffie-Hellman (DH) protocol based on X.509 certificates.","PeriodicalId":219296,"journal":{"name":"2023 27th International Conference on Information Technology (IT)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121623148","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Branko Jovović, Tomo Popović, Stevan Sandi, Zoran Djikanović
{"title":"A Blockchain-Based Approach to Management of University Diploma Authenticity","authors":"Branko Jovović, Tomo Popović, Stevan Sandi, Zoran Djikanović","doi":"10.1109/IT57431.2023.10078715","DOIUrl":"https://doi.org/10.1109/IT57431.2023.10078715","url":null,"abstract":"This paper focuses on solving digital transformation challenges in educational system. In addition to traditional information systems employed in education there is a trend of adding new features based on the latest megatrends such as artificial intelligence and blockchain. Specifically, this paper discusses an approach on how blockchain technology can be utilized to implement a system for keeping student records and diploma verification. Including blockchain technology in the process of keeping records on students’ diplomas may bring many benefits. It provides students with control of their academic identity and provides means for displaying verified credentials in their electronic records, which may simplify later use of their electronic CVs or copies of diplomas. The use of blockchain should increase trust into electronic records to all of the stakeholders involved in the process and could in the near future minimize the possibility to modify or falsify student credentials.","PeriodicalId":219296,"journal":{"name":"2023 27th International Conference on Information Technology (IT)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131998929","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Vehicle Speed Estimation From Audio Signals Using 1D Convolutional Neural Networks","authors":"Ivana Cavor, Slobodan Djukanovic","doi":"10.1109/IT57431.2023.10078724","DOIUrl":"https://doi.org/10.1109/IT57431.2023.10078724","url":null,"abstract":"This paper presents an approach to acoustic vehicle speed estimation using audio data obtained from single-sensor measurements. One-dimensional convolutional neural network (1D CNN) is used to estimate the vehicle’s speed directly from raw audio signal. The proposed approach does not require manual feature extraction and can be trained directly on unprocessed time-domain signals. The VS13 dataset, which contains 400 audio-video recordings of 13 different vehicles, is used for training and testing of the proposed model. Two training procedures have been evaluated and tested, one based on determining optimal number of training epochs and the other based on recording model state with minimal validation loss. The experimental results show that the average estimation error on VS13 is 9.50 km/h and 8.88 km/h, respectively.","PeriodicalId":219296,"journal":{"name":"2023 27th International Conference on Information Technology (IT)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122183588","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Quantum-Classical Hybrid Classifier Using Multi-Encoding Method for Images","authors":"Niyazi Furkan Bar, Hasan Yetiş, M. Karakose","doi":"10.1109/IT57431.2023.10078617","DOIUrl":"https://doi.org/10.1109/IT57431.2023.10078617","url":null,"abstract":"Image data grows in volume and size more quickly than classical processing power. Thanks to its entanglement and super-position qualities, quantum computing, which is based on quantum physics, has a lot of potential for speed and processing capacity. For high power challenges, it is therefore highly common to try to utilize quantum computing units rather than classical computing units. In this study, a hybrid quantum-classical approach was proposed for utilizing quantum computers’ advantages in image classification. This hybrid technique uses a variational quantum circuit (VQC) on the quantum computer side. To overcome the qubit restriction in the VQC, multiple amplitude encoding was used as the data encoding method. In the classical computer part of the proposed approach, the preprocessing of the image, the convolution operation, and the optimization of the parameters of the single-qubit rotation gates in the VQC were performed. The proposed approach was trained and tested on two different data sets. The accuracy rates acquired in 2-layers and 4-layers VQCs within the data sets were evaluated in the test results. The proposed approach was evaluated against studies that were similar in the literature. Compared to similar studies, it was observed that it is more successful in terms of the number of parameters used and quantum cost. As a result, the effectiveness of the proposed approach was verified.","PeriodicalId":219296,"journal":{"name":"2023 27th International Conference on Information Technology (IT)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134066462","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Luka Laković, P. A. Kara, Ivana Ognjanovic, L. Bokor, R. Šendelj, C. Reich, M. Roganović, E. Zoulias, Jevto Erakovic, Tanja Radusinovic, Nada Rakočević, Anikó Simon
{"title":"Evaluation of the Montenegrin Academic Digital Innovation Hub","authors":"Luka Laković, P. A. Kara, Ivana Ognjanovic, L. Bokor, R. Šendelj, C. Reich, M. Roganović, E. Zoulias, Jevto Erakovic, Tanja Radusinovic, Nada Rakočević, Anikó Simon","doi":"10.1109/IT57431.2023.10078596","DOIUrl":"https://doi.org/10.1109/IT57431.2023.10078596","url":null,"abstract":"In the era of global digitalization, digital innovation hubs have become essential, as they function as transforming forces. In this paper, we provide an analysis of the Montenegrin Academic Digital Innovation Hub by applying multi-criteria qualitative evaluation over several criteria: process flow of fully digitized operations of the Hub (with aspects of the innovation life-cycle, ethics, and security), resource management, strategic goals, and feasibility. The paper also proposes a model of comprehensive resource management via the perspective of smart specialization priorities of Montenegro.","PeriodicalId":219296,"journal":{"name":"2023 27th International Conference on Information Technology (IT)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129352648","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ivan Jovović, Dejan Babic, Tomo Popović, Stevan Cakic, Ivana Katnic
{"title":"Disease Prediction Using Machine Learning Algorithms","authors":"Ivan Jovović, Dejan Babic, Tomo Popović, Stevan Cakic, Ivana Katnic","doi":"10.1109/IT57431.2023.10078464","DOIUrl":"https://doi.org/10.1109/IT57431.2023.10078464","url":null,"abstract":"This study aimed to investigate the application of machine learning techniques for disease prediction. Three popular machine learning algorithms, Random Forest, Support Vector Machines and Naive Bayes, were employed and their performance was evaluated. Results showed that the best performing model was based on Random Forest algorithm with the average accuracy of 87%. This model has been additionally tuned in order to achieve even better performance, which resulted with 90% accuracy. This study highlights the potential of AI in disease prediction and provides insights into the importance of algorithm selection and tuning for optimal performance.","PeriodicalId":219296,"journal":{"name":"2023 27th International Conference on Information Technology (IT)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126934607","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}