{"title":"VHF/UHF Transceiver with Digital Signal Processing","authors":"Jiří Skořepa, Filip Šturc, P. Puričer, P. Kovář","doi":"10.1109/ELMAR52657.2021.9550927","DOIUrl":"https://doi.org/10.1109/ELMAR52657.2021.9550927","url":null,"abstract":"The innovative approach in designing the radio part of the professional VHF/UHF (narrow-band) transceivers based on the application of the digital intermediate frequency stages known from the wide-band systems is presented. The main problem is the dynamic range of the analog to digital converter, which is the weakest part of the concept. The combination of the presented common analog RF front end and digital implementation of the further receiver stages improves production repeatability and reduces production and setup costs and the final size of the transceiver in comparison to pure analog design. We presented the parameters of the key blocks, which are RF filters and Digital Down Converter including analog to digital converter, that substantially contribute to the complete design. The proper selection and design of such parts show the valuable impact to the proposed approach of digital signal processing based transceiver.","PeriodicalId":410503,"journal":{"name":"2021 International Symposium ELMAR","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127985310","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":"Broadband Waveguide to Coax Adapter for Measurement of Harmonic Distortion of Power Amplifier","authors":"T. Zálabský, P. Bezousek, Tomáš Krejčí","doi":"10.1109/ELMAR52657.2021.9551003","DOIUrl":"https://doi.org/10.1109/ELMAR52657.2021.9551003","url":null,"abstract":"This paper describes the design of broadband transition adapters from the R32 waveguide to the coaxial line. These adapters measure the harmonic distortion of the signal on a power amplifier designed for a radar transmitter in the S band at frequencies from 2.7 GHz to 2.9 GHz. The transition makes it possible to measure the level of harmonic components up to the third harmonic, i.e. up to an output frequency of 9 GHz off-line. The adapter is designed for an input power of 32 kWimp on the first harmonic. Behind the amplifier, a power ferrite insulator is inserted in the radar. When measuring harmonics, the insulator facilitates a high-quality impedance termination of the output of the power amplifier. This guarantees the reliable function of this device. The paper describes two solutions of these transitions: on the one hand a transition based on fin-line lines with small reflections in the baseband, and on the other hand a waveguide stepped transition with low reflections in the higher harmonic bands.","PeriodicalId":410503,"journal":{"name":"2021 International Symposium ELMAR","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134401754","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}
Leo Tišljarić, Dominik Cvetek, V. Vareškić, M. Gregurić
{"title":"Classification of Travel Modes from Cellular Network Data Using Machine Learning Algorithms","authors":"Leo Tišljarić, Dominik Cvetek, V. Vareškić, M. Gregurić","doi":"10.1109/ELMAR52657.2021.9550817","DOIUrl":"https://doi.org/10.1109/ELMAR52657.2021.9550817","url":null,"abstract":"Data availability in recent years has grown exponentially, allowing researchers in the transport sector to harness valuable information regarding traffic flows. In that sense, cellular network data represents valuable traffic information when dealing with spatially large areas due to its property of collecting route data using distant mobile base stations. This property enables the automatic collection of origin-destination data, which is traditionally collected using field or online questionnaires. This paper aims to present the possibility of using origin-destination data extracted from cellular network dataset to classify travel modes. A case study was performed on the dataset collected in the City of Rijeka, Croatia. Dataset is evaluated on five machine learning algorithms, which resulted in Random forest as the highest performing algorithm with an accuracy score of 99.93%.","PeriodicalId":410503,"journal":{"name":"2021 International Symposium ELMAR","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134447395","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}
Mladen Miletić, E. Ivanjko, S. Mandzuka, Daniela Koltovska Nečoska
{"title":"Combining Neural Gas and Reinforcement Learning for Adaptive Traffic Signal Control","authors":"Mladen Miletić, E. Ivanjko, S. Mandzuka, Daniela Koltovska Nečoska","doi":"10.1109/ELMAR52657.2021.9550948","DOIUrl":"https://doi.org/10.1109/ELMAR52657.2021.9550948","url":null,"abstract":"Travel time of vehicles in urban traffic networks can be reduced by using Adaptive Traffic Signal Control (ATSC) to change the signal program according to the current traffic situation. Modern ATSC approaches based on Reinforcement Learning (RL) can learn the optimal signal control policy. While there are multiple RL based ATSC implementations available, most suffer from high state-action complexity leading to slow convergence and long training time. In this paper, the state-action complexity of ATSC based RL is reduced by implementing Growing Neural Gas learning structure as an integral part of RL, leading to high convergence rate and system stability. The presented approach is evaluated on a simulated signalized intersection, and compared with self-organizing map RL-based ATSC systems. Obtained results prove that the reduction of state-action complexity in this manner improves the effectiveness of RL based ATSC not needing to have an a priory analysis of needed number of neurons for state representation.","PeriodicalId":410503,"journal":{"name":"2021 International Symposium ELMAR","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132473614","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":"Polarization Sensitivity of Short-Range S-band Radar Sensing System","authors":"Filip Turčinović, Marin Erny, M. Bosiljevac","doi":"10.1109/ELMAR52657.2021.9550940","DOIUrl":"https://doi.org/10.1109/ELMAR52657.2021.9550940","url":null,"abstract":"Wireless sensing based on radar devices is used today in various environments to ensure sustainability and protection of natural resources, to save time and energy in industry and agriculture, and in many other applications. Development of radar technology, in particular in millimeter-wave frequency bands, has opened many new applications which are being currently developed. Important aspect of these systems is increased level of system autonomy based on the principles of machine learning or artificial intelligence. In order to exploit these advantages, we need to acquire as much as possible measured information which can be used later in various detection scenarios. Our aim is to perform a polarization sensitivity analysis for a simple S-band FMCW radar system. The acquired measured results demonstrate the differences when scanning the polarization and give us a indication on how this can be exploited in future systems with polarization diversity.","PeriodicalId":410503,"journal":{"name":"2021 International Symposium ELMAR","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115568478","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 Omrčen, Hrvoje Leventić, Krešimir Romić, I. Galić
{"title":"Integration of Blockchain and AI in EHR sharing: A survey","authors":"Luka Omrčen, Hrvoje Leventić, Krešimir Romić, I. Galić","doi":"10.1109/ELMAR52657.2021.9550953","DOIUrl":"https://doi.org/10.1109/ELMAR52657.2021.9550953","url":null,"abstract":"In the past decade, the digitalization of the health-care industry and electronic healthcare records (EHR) rises rapidly. The concept of smart health gradually gains momentum as information technology advances. Smart healthcare transforms and improves traditional medical systems in efficiency, service and personalization by integrating technologies like the internet of things (IoT), big data, cloud computing, and artificial intelligence (AI). On the other hand, smart healthcare systems are highly prone to security breaches and various malicious attacks. Blockchain technology has recently emerged as a promising solution for improving data management, access control, and integrity inside healthcare systems. This paper presents a survey of research on the latest blockchain solutions combined with AI technologies for improving and innovating new technical standards for the healthcare ecosystem related to medical diagnostics and electronic health records sharing, with a special focus on medical imaging.","PeriodicalId":410503,"journal":{"name":"2021 International Symposium ELMAR","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122672166","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":"Derivation and Simulation of Outage Probability for 5G Wireless System with L-branch SC Receiver Influenced by Rician Fading and Nakagami-m Co-channel Interference","authors":"S. Suljovic, D. Krstić, N. Petrovic","doi":"10.1109/ELMAR52657.2021.9550962","DOIUrl":"https://doi.org/10.1109/ELMAR52657.2021.9550962","url":null,"abstract":"The performance of wireless 5G communication system with L-branch selection combining (SC) receiver, will be analyzed in this article. The transmitted signal suffers from a small-scale Rician fading and Nakagami-m co-channel interference (CCI). The SC combiner with L branches is being implemented in the receiver to reduce the impacts of multipath fading to the system performance as outage probability (Pout), bit error probability (BEP), … The expression for the outage probability based on the signal to interference ratio (SIR) at the output of the SC receiver will be derived. The influence of parameters (Rician factor, Nakagami-m fading severity parameter, the mean values of the signal and interference powers, the number of the SC combiner input branches) on the Pout will be examined. Then, the Graphics Processing Unit (GPU) accelerated simulation and linear optimization for designing the optimal 5G mobile networks will be used. This program provides significantly faster calculation of the system performance, such as Pout, for the wireless channels and maximize the Quality of Service (QoS) for a 5G wireless systems under the influence of mentioned nuisances.","PeriodicalId":410503,"journal":{"name":"2021 International Symposium ELMAR","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122764174","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":"Data Visualizations for the Internet of Things Operational Dashboard","authors":"Ana Svalina, J. Pibernik, J. Dolić, Lidija Mandić","doi":"10.1109/ELMAR52657.2021.9550826","DOIUrl":"https://doi.org/10.1109/ELMAR52657.2021.9550826","url":null,"abstract":"The paper deals with the issue of visualization of data collected through sensors in the Internet of Things system through research of user perception of a smart building dashboard. The Internet of Things (IoT) system consists of four components - sensors, connectivity, data processing, and a user interface. The data collected in the Internet of Things system as such do not have much value for the user. When processed meaningfully and displayed correctly, they are a powerful tool for user action. The research aims to investigate the possibilities of data visualization through the design of the Building Management System (BMS) dashboard and to investigate the user understanding of such visualizations. The study explores the user experience of the diagrams design in the context of combining a smart system with the regulation and control of energy consumption. The final proposals for the dashboard visual format and conclusions related to user’s preferences were formed according to the results of the research.","PeriodicalId":410503,"journal":{"name":"2021 International Symposium ELMAR","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128578758","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":"Influence of Load Resonance on Operation of Negative Impedance Converter Circuits","authors":"L. Vincelj, S. Hrabar","doi":"10.1109/ELMAR52657.2021.9550828","DOIUrl":"https://doi.org/10.1109/ELMAR52657.2021.9550828","url":null,"abstract":"In an ideal case, a negative impedance converter (NIC) transforms the load impedance or admittance into its negative image. However, due to non-idealities present in electronic circuitry of NIC, there will always be some conversion error. On the other hand, conversion of resonant load is, among others, important for the use in recently introduced self-oscillating antennas based on negative immittance conversion. Namely, it was noticed that operation of such transmitter is limited by the resonant nature of the antenna. Therefore, in this paper, we investigate the influence of NIC dispersion on the conversion of generic resonant load. The effect is analysed both for short circuit stable (SCS) and open circuit stable (OCS) grounded NIC based on operational amplifiers. Transient and S-parameter simulations were performed with the help of circuit theory simulator. It was noticed that both NIC types show lower conversion errors for the frequencies at which the load has capacitive character.","PeriodicalId":410503,"journal":{"name":"2021 International Symposium ELMAR","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125017182","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":"The Impact of Haze Non-Homogeneity on the Recent Image Dehazing Methods","authors":"A. Kis, H. Balta, C. Ancuti","doi":"10.1109/ELMAR52657.2021.9550935","DOIUrl":"https://doi.org/10.1109/ELMAR52657.2021.9550935","url":null,"abstract":"Haze is a common atmospheric phenomenon that affects the visual quality of the recorded images. Since in general the existing dehazing techniques assume a homogeneous haze distribution, this work analysis the impact of haze non-homogeneity on several recent image dehazing techniques. We perform a comprehensive evaluation using our recent image dataset introduced this year at CVPR NTIRE 2021 workshop. HH-HAZE21 dataset contains 35 non-homogeneous hazy images and their corresponding haze-free images captured from the same scene. The hazy images have been generated using a special setup that includes a professional haze generator. The qualitative and quantitative comparative results demonstrate that images with non-homogeneous haze introduce new challenges for the existing image dehazing techniques.","PeriodicalId":410503,"journal":{"name":"2021 International Symposium ELMAR","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128446271","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}