Filip Turčinović, J. Vuković, Slaven Božo, G. Šišul
{"title":"Analysis of LoRa Parameters in Real-World Communication","authors":"Filip Turčinović, J. Vuković, Slaven Božo, G. Šišul","doi":"10.1109/ELMAR49956.2020.9219028","DOIUrl":"https://doi.org/10.1109/ELMAR49956.2020.9219028","url":null,"abstract":"Low Power Wide Area Network (LP-WAN) technologies found their usage in the Internet of Things (IoT) systems due to their low power consumption and long-range, with low data rates as a compromise. One of the most utilized LP-WAN technologies that operates in unlicensed spectrum is LoRa (Long Range). The description of other LP-WAN technologies (Narrowband IoT, Sigfox, and LTE-M) and their comparison with LoRa are presented in the paper. Operating in an unlicensed spectrum makes the possibility of the interference grow, which is handled by LoRa’s chirp spread spectrum modulation. In LoRa communication, spreading factor (SF) has the most impact on energy consumption, time on air, and coverage area. Influence of the SF on communication parameters such as signal-to-noise ratio (SNR), received signal strength indicator (RSSI) and time on air (ToA) is analyzed using over 6500 LoRa messages gathered in the test network in Croatia. The analysis results showed the dependencies between SF, RSSI, and SNR and between theoretical ToA and the measured one.","PeriodicalId":235289,"journal":{"name":"2020 International Symposium ELMAR","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133098585","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}
D. C. Mena, César Miró García, M. Bosiljevac, Z. Šipuš
{"title":"Radiation Efficiency of Implanted Antennas: Evaluation of Antenna Encapsulation and Position in Different Canonical Body Models","authors":"D. C. Mena, César Miró García, M. Bosiljevac, Z. Šipuš","doi":"10.1109/ELMAR49956.2020.9219014","DOIUrl":"https://doi.org/10.1109/ELMAR49956.2020.9219014","url":null,"abstract":"In-body implanted antennas are one of essential components of various medical devices being developed in order to help in monitoring patient’s condition more directly. Human body is, however, a very hostile environment from electromagnetic point of view, since the body, when viewed as dielectric medium, has very high losses. To study how this effects the radiation properties, in this paper we focus on the analysis of radiation efficiency as a function of the size and the position of the implant inside the body. We compare two scenarios where the body is approximated with spherical and cylindrical body models which are commonly used in similar investigations. Results confirm that in both scenarios the size and the position of the implant have a major effect on the efficiency, however, the observations have to take into account the frequency since different loss mechanisms dominate for different frequencies.","PeriodicalId":235289,"journal":{"name":"2020 International Symposium ELMAR","volume":"64 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116316783","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":"ELMAR 2020 Index of Authors","authors":"","doi":"10.1109/elmar49956.2020.9219011","DOIUrl":"https://doi.org/10.1109/elmar49956.2020.9219011","url":null,"abstract":"","PeriodicalId":235289,"journal":{"name":"2020 International Symposium ELMAR","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122083606","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":"An Approach to Crowd Segmentation at Macroscopic Level","authors":"Darko Mihalić, Darijan Marcetic, S. Ribaric","doi":"10.1109/ELMAR49956.2020.9219018","DOIUrl":"https://doi.org/10.1109/ELMAR49956.2020.9219018","url":null,"abstract":"In this paper, an approach to crowd segmentation at macroscopic level is proposed. The method is based on salient points within the region of dense optical flow that are tracked through N frames. Salient points were tracked by using the pyramidal Lukas-Kanade tracker. Around each salient point, an area is formed by using combination of a dense optical flow, a morphological operation dilation and Voronoi diagram. To each subarea, i.e. Voronoi cell of an optical flow (VcOF), the direction and magnitude of displacement is assigned based on the tracklet of the salient point. The VcOFs are grouped based on their directions and distances by hierarchical clustering. The method considers the temporal and spatial dynamics of the crowd motion. It has been tested on the video clips of real-world video sequences and has produced the results that are close to human perception and segmentation of a crowd.","PeriodicalId":235289,"journal":{"name":"2020 International Symposium ELMAR","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124002482","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":"Tracking of Moving Objects Based on Extended Kalman Filter","authors":"Tarik Omeragić, J. Velagić","doi":"10.1109/ELMAR49956.2020.9219021","DOIUrl":"https://doi.org/10.1109/ELMAR49956.2020.9219021","url":null,"abstract":"The paper deals with the moving object tracking in dynamic environments, which is one of the most important problems in the field of computer vision. Over the last decade, an intensive work has been extensively done to create smart, autonomous vehicles that provide very precise and fast algorithms for the object detection and tracking. Our paper elaborates and demonstrates how it can be possible to monitor the trajectory of moving objects with high precision using sensor data, where the detection has been previously done. The standard Kalman Filter is described as an introduction to the Extended Kalman Filter (EKF) which was used for the algorithm implementation. Therefore, a problem of choosing model equations is also described, as well as the KITTI dataset used for the object detection. The main contribution of this paper includes an algorithm for the trajectory tracking that is capable to predict the position of moving objects. This algorithm is verified by experiments using realistic dataset.","PeriodicalId":235289,"journal":{"name":"2020 International Symposium ELMAR","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117241312","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 Segmentation Parameters on Video Quality in Dynamic Adaptive Streaming","authors":"Jelena Vlaovic, S. Rimac-Drlje, D. Zagar","doi":"10.1109/ELMAR49956.2020.9219029","DOIUrl":"https://doi.org/10.1109/ELMAR49956.2020.9219029","url":null,"abstract":"Dynamic adaptive streaming has been evolving during the last decade in order to meet high expectations regarding video quality of streamed video sequences on various devices. Every year various dynamic adaptation algorithms that try to improve user quality of experience are developed. Another important aspect of adaptive streaming is the video segmentation process as well as the dataset used for testing purposes. The goal of the research presented in this paper was to improve the segmentation process. Structural Similarity Index (SSIM) was used to determine coding bitrates where the overlapping of video quality for different spatial resolutions occur in order to specify proper representations for the segmentation. Two video sequences with different spatial and temporal activity were encoded based on selected representations and tested using the Basic adaptation algorithm (BAA) and Segment-Aware Rate Adaptation (SARA). Compared to previously available segmentation, test results show improvement in SSIM values especially for a video sequence with high spatial and temporal activity.","PeriodicalId":235289,"journal":{"name":"2020 International Symposium ELMAR","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131293795","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, K. Kušić, M. Gregurić, Daniela Koltovska Nečoska, E. Ivanjko, H. Kalinić
{"title":"Creating A Data-Set For Sustainable Urban Mobility Analysis: Lessons Learned","authors":"Mladen Miletić, K. Kušić, M. Gregurić, Daniela Koltovska Nečoska, E. Ivanjko, H. Kalinić","doi":"10.1109/ELMAR49956.2020.9219038","DOIUrl":"https://doi.org/10.1109/ELMAR49956.2020.9219038","url":null,"abstract":"Traffic congestion and resulting pollution affect the quality of life in urban areas. To analyze the correlation between traffic and air pollution, appropriate data-sets containing both traffic and pollution data are needed. Especially since pollution in urban areas has many different sources. This article tackles the problem of creating such a data-set for sustainable urban mobility analysis from the aspect of transport and pollution. Real traffic and pollution data from three intersections in the City of Skopje were collected and statistically analyzed. Obtained first results present a solid foundation for future analysis using an enlarged data-set.","PeriodicalId":235289,"journal":{"name":"2020 International Symposium ELMAR","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124646757","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 New Method Towards Speech Files Local Features Investigation","authors":"R. Latypov, E. Stolov","doi":"10.1109/ELMAR49956.2020.9219033","DOIUrl":"https://doi.org/10.1109/ELMAR49956.2020.9219033","url":null,"abstract":"There are a few reasons for the recent increased interest in studying the local features of speech files. It is stated that many of the essential properties of the speaker’s language used may appear in the form of a speech signal. The traditional instruments — short Fourier transform, wavelet transform, Hadamard transforms, autocorrelation, and the like can detect not all peculiar properties of the language. In this paper, we propose a new approach to such characteristics exploration. The original signal is approximated by a new one, which values are taken from a finite set. We then construct a new sequence of fixed-size vectors based on these approximations. Studying the distribution of generated vectors provides a new way of describing the local attributes of speech files. Finally, the developed technique is applied to the problem of the automated distinguishing of two known languages used in speech files. For this, a simple neural net is constructed.","PeriodicalId":235289,"journal":{"name":"2020 International Symposium ELMAR","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133167927","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}