{"title":"Additional Miniaturization of Directional Couplers","authors":"D. Letavin","doi":"10.1109/TELFOR56187.2022.9983701","DOIUrl":"https://doi.org/10.1109/TELFOR56187.2022.9983701","url":null,"abstract":"A technique for increasing the degree of miniaturization of microstrip directional couplers is described, provided that the initially unused area inside the device is fully utilized. At the same time, from the side of the metallized surface under the capacitive elements of the low-pass filters, cavities are made with a depth not exceeding the thickness of the substrate, while the walls of the cavities have a metallized layer. This makes it possible to reduce the thickness of the substrate under the capacitive elements and thereby increase the capacitance rating for the same element area on the printed circuit board. This approach makes it possible in some cases to avoid the use of multilayer printed circuit boards, which simplifies the design of the device.","PeriodicalId":277553,"journal":{"name":"2022 30th Telecommunications Forum (TELFOR)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133842514","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":"DOA Estimation in MIMO Radars via Deep Learning","authors":"Kerem Maden, I. Erer","doi":"10.1109/TELFOR56187.2022.9983686","DOIUrl":"https://doi.org/10.1109/TELFOR56187.2022.9983686","url":null,"abstract":"The Direction of Arrival (DOA) estimation is an active research area in array signal processing. Conventional DOA estimation methods require high computational complexity for the multiple-input and multiple-output (MIMO) radars which require the use virtual data vector. In addition, while most conventional methods perform well in high signal-to-noise ratio (SNR) environments, the results in low SNR conditions are not satisfactory. To address these problems, this paper introduces an architecture composed of denoising convolutional autoencoders (DCAE) and convolutional neural networks (CNN) named as DCAE-CNN architecture. The DCAE is used to restore the data prior to DOA estimation, and CNN is employed to estimate the angle of arrival by mapping the restored data to the corresponding angles. Compared to the conventional MUSIC algorithm, experimental results of the proposed DCAE-CNN scheme demonstrate more satisfactory performance in terms of accuracy in low SNR circumstances and reduce the computation time considerably which makes it’s use possible for in real-time applications.","PeriodicalId":277553,"journal":{"name":"2022 30th Telecommunications Forum (TELFOR)","volume":"18 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132335267","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":"Overhead Analysis of a Bio-Inspired Routing over FANET","authors":"Nunzia Palmieri, Abdon Serianni","doi":"10.1109/TELFOR56187.2022.9983785","DOIUrl":"https://doi.org/10.1109/TELFOR56187.2022.9983785","url":null,"abstract":"The use of Drones for supporting traffic in emergency and critical areas is an important aspects to be analysed by scientific community. This paper proposes the use of a bio-inspired approach to maintain the drones’ network topology consistent and show how the energy drain can play an important role in the reaching network task. Performance evaluation has been conducted in terms energy, overhead and delivery ratio.","PeriodicalId":277553,"journal":{"name":"2022 30th Telecommunications Forum (TELFOR)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114043117","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":"Comparative analysis of simple rules for flame recognition","authors":"E. Buza, E. Turajlić, Amila Akagic","doi":"10.1109/TELFOR56187.2022.9983788","DOIUrl":"https://doi.org/10.1109/TELFOR56187.2022.9983788","url":null,"abstract":"Compared to conventional fire detection techniques, high-precision computer vision-based fire detection systems have a number of desirable characteristics, such as the ability to monitor large areas, provide a bountiful amount of information, and are easy to maintain. This paper extensively and systematically investigates the use of simple color-based rules for pixel-wise flame recognition in still images. The rules are evaluated on a hundred and nineteen test images that correspond to fires in urban environments. The performances of the considered flame recognition rules are reported in terms of Recall, Balanced accuracy, Accuracy, F1 score, and Matthews correlation coefficient. The best-performing rule is identified. More complex classifiers are formed by combining two or more simple rules. The experimental results show that simple color-based rules and some of their combinations can offer effective fire recognition performance.","PeriodicalId":277553,"journal":{"name":"2022 30th Telecommunications Forum (TELFOR)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115942132","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 MAC Layer Energy Drain Attack Analysis in WSN","authors":"Abdon Serianni, Nunzia Palmieri","doi":"10.1109/TELFOR56187.2022.9983665","DOIUrl":"https://doi.org/10.1109/TELFOR56187.2022.9983665","url":null,"abstract":"The main characteristic of devices in a Wireless Sensor Network (WSN) concerns the limited resources. So, the energy and security aspects represent important fields of study due that they extremely affect the WSN behavior. With regard to the limited resource of nodes, the traditional security mechanisms are not the most suitable so new approaches have to be analysed in order to take into account this specific node characteristic. In this paper, a MAC layer energy drain attack is analysed and the performance evaluation are evaluated in a network composed of four sensor nodes, a gateway and a server in a LMAC and BMAC protocol in terms of average energy consumed for each node inside the considered WSN.","PeriodicalId":277553,"journal":{"name":"2022 30th Telecommunications Forum (TELFOR)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122763737","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":"Jedno rešenje alata za vizualizaciju mrežnog raspoređivača TTEternet tehnologije u automobilskoj industriji","authors":"Nebojša Kakuća, Stefan Vulic, Mladen Planojević","doi":"10.1109/TELFOR56187.2022.9983715","DOIUrl":"https://doi.org/10.1109/TELFOR56187.2022.9983715","url":null,"abstract":"U sistemima zasnovanim na komunikaciji čija je kompleksnost na visokom nivou izuzetno je komplikovano pro-naći uzrok problema u samoj komunikaciji. Postojanje određenih alata umnogome olakšava pronalazak i otklanjanje problema, te alati sami po sebi zauzimaju bitno mesto u procesu analize i pronalaska problema. Rad opisuje jedno rešenje alata za vizualizaciju mrežnog raspore divača TTEternet tehnologije koji se koristi u okviru komponente operativnog sistema zasnovanog na AUTOSAR standardu. Alat omogućava grafički prikaz vremena slanja svih eternet paketa u sistemu kao i ulazne i izlazne portove samog Eternet sviča kroz koje se šalju i primaju eternet paketi. Na osnovu istraživanja o samoj TTEternet tehnologiji rodila se ideja o vizualizacija rasporeda slanja paketa kao pomoćni alat koji bi olakašao pronalaženje problema na samom početku razvoja programske podrške za automobil i na taj način štedelo vreme od početnog do gotovog proizvoda. Testiranjem alata pokazalo se da je veliki broj slučajeva sa problemima koji se susreću, a vezani su za komunikaciju, pokriven alatom i na uspešana način prepoznati.","PeriodicalId":277553,"journal":{"name":"2022 30th Telecommunications Forum (TELFOR)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124802152","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}
Una Tuba, Eva Tuba, Romana Capor Hrosik, M. Tuba, M. Veinovic
{"title":"Frequency and Texture Features for Iris Recognition","authors":"Una Tuba, Eva Tuba, Romana Capor Hrosik, M. Tuba, M. Veinovic","doi":"10.1109/TELFOR56187.2022.9983787","DOIUrl":"https://doi.org/10.1109/TELFOR56187.2022.9983787","url":null,"abstract":"Digital images and digital image processing have become a vital part of numerous applications, in every day life, science, security, health, etc. The iris of the human eye is a great biometric parameter that can be used for a person’s identification due to its richness and uniqueness in texture and other features. In this paper, a simple method based on the local binary pattern as a texture descriptor and frequency coefficients is proposed. After extracting the eye region, the iris region is found and features are calculated for that region of interest. A support vector machine is used for classification. The proposed method is tested on a well-known CASIA Interval-v4 dataset and the results are improved compared to methods that only use one of these features or a different set of features.","PeriodicalId":277553,"journal":{"name":"2022 30th Telecommunications Forum (TELFOR)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121848527","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}
A. Kabović, M. Kabović, Slavica V. Boštjančič Rakas, V. Timčenko
{"title":"The influence of the input parameters variation of the non-seasonal ARIMAX model on the accuracy of meteorological parameters forecasting","authors":"A. Kabović, M. Kabović, Slavica V. Boštjančič Rakas, V. Timčenko","doi":"10.1109/TELFOR56187.2022.9983670","DOIUrl":"https://doi.org/10.1109/TELFOR56187.2022.9983670","url":null,"abstract":"ARIMA (autoregressive integrated moving-average), one of the most popular models for time-series modeling, is recently frequently used for the needs of events forecasting and prediction in business, medicine, meteorology and engineering domains. In this paper, we present the results of testing the non-seasonal ARIMAX model for short-time forecasting of two meteorological parameters: wind speed and ambient temperature. For the needs of the forecasting accuracy comparison, we propose the use of the MAE (Mean Absolute Error). Various kinds of script files were made using R-Studio, the development environment for testing purposes.","PeriodicalId":277553,"journal":{"name":"2022 30th Telecommunications Forum (TELFOR)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126905268","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}
Borislav Đorđević, Nenad Kraljević, Boris Džuverović
{"title":"Optimal guest file system for type-2 hypervisor-based virtualization in Virtual box","authors":"Borislav Đorđević, Nenad Kraljević, Boris Džuverović","doi":"10.1109/TELFOR56187.2022.9983783","DOIUrl":"https://doi.org/10.1109/TELFOR56187.2022.9983783","url":null,"abstract":"The main objective of this paper is to find the optimal guest file system for hypervisor-based virtualization with the Oracle’s VirtualBox virtual machines. For this research, we decided to measure file system performances, in equal conditions and apply the same test method. For testing purposes, we used Filebench software, which guarantees equality and independence of the hardware and operating system characteristics. CentOS 7.9 with the latest updates is used as the guest operating system, while VirtualBox 6.1 is used as the hypervisor. Performances are compared for the cases of one and two virtual machines running simultaneously. Expected behaviors are analyzed with Filebench, while the results are used to verify the assumption.","PeriodicalId":277553,"journal":{"name":"2022 30th Telecommunications Forum (TELFOR)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122108749","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}
A. Gavrovska, D. Dujković, A. Samčović, Y. Golub, V. Starovoitov
{"title":"No-reference local image quality evaluation","authors":"A. Gavrovska, D. Dujković, A. Samčović, Y. Golub, V. Starovoitov","doi":"10.1109/TELFOR56187.2022.9983762","DOIUrl":"https://doi.org/10.1109/TELFOR56187.2022.9983762","url":null,"abstract":"The Image Quality Assessment (IQA) metrics are developed to measure the perceptual quality of images after distortion. In this paper several No-Reference (NR) metrics are tested for different distortion types. In order to see how each type of distortion affects the image quality measures, each image will have only one type of distortion. The experiments analysis is performed aiming to local image quality evaluation in agreement with both subjective and objective assessment. The obtained experimental results show the potential of considering local quality estimation for dealing with actual challenges in efficient IQA.","PeriodicalId":277553,"journal":{"name":"2022 30th Telecommunications Forum (TELFOR)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129082174","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}