Pub Date : 2017-11-01DOI: 10.1109/TELFOR.2017.8249364
Goran Antonijević, S. Simic, Dimitrije Bujaković
The content — This paper describes the procedure of application Adaptive Weighted Norm Extrapolation (AWNE) method on stripmap SAR image which was formed using Doppler Beam Sharpening (DBS) algorithm, in order to improve resolution in the azimuth axis. The characteristics of stripmap SAR recording are listed, as well as the causes of poor resolution in the azimuth axis of the DBS algorithm. Before using the AWNE method, the SAR data were modified in the azimuth axis. The result is that the resolution of the signal in the frequency domain is improved, which represents resolution improvement in the azimuth axis of stripmap SAR image.
{"title":"Improving the azimuth resolution of stripmap SAR image using Adaptive Weighted Norm Extrapolation","authors":"Goran Antonijević, S. Simic, Dimitrije Bujaković","doi":"10.1109/TELFOR.2017.8249364","DOIUrl":"https://doi.org/10.1109/TELFOR.2017.8249364","url":null,"abstract":"The content — This paper describes the procedure of application Adaptive Weighted Norm Extrapolation (AWNE) method on stripmap SAR image which was formed using Doppler Beam Sharpening (DBS) algorithm, in order to improve resolution in the azimuth axis. The characteristics of stripmap SAR recording are listed, as well as the causes of poor resolution in the azimuth axis of the DBS algorithm. Before using the AWNE method, the SAR data were modified in the azimuth axis. The result is that the resolution of the signal in the frequency domain is improved, which represents resolution improvement in the azimuth axis of stripmap SAR image.","PeriodicalId":422501,"journal":{"name":"2017 25th Telecommunication Forum (TELFOR)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133661017","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}
Pub Date : 2017-11-01DOI: 10.1109/TELFOR.2017.8249304
Duška Čoja, N. Neskovic, A. Neskovic
This paper describes the results of frequency-domain indoor radio channel characterization using vector network analyzer in the 1.7–1.9 GHz frequency band. Channel impulse response estimate was obtained via inverse Fourier transform through repeated measurements of its transfer function. Statistical parameters of radio propagation, namely the channel's power delay profile and cumulative distributions of root mean square delay spread, mean excess delay and coherence bandwidth were evaluated and comparisons with results in literature were drawn.
{"title":"Channel impulse response estimation using vector network analyzer","authors":"Duška Čoja, N. Neskovic, A. Neskovic","doi":"10.1109/TELFOR.2017.8249304","DOIUrl":"https://doi.org/10.1109/TELFOR.2017.8249304","url":null,"abstract":"This paper describes the results of frequency-domain indoor radio channel characterization using vector network analyzer in the 1.7–1.9 GHz frequency band. Channel impulse response estimate was obtained via inverse Fourier transform through repeated measurements of its transfer function. Statistical parameters of radio propagation, namely the channel's power delay profile and cumulative distributions of root mean square delay spread, mean excess delay and coherence bandwidth were evaluated and comparisons with results in literature were drawn.","PeriodicalId":422501,"journal":{"name":"2017 25th Telecommunication Forum (TELFOR)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124697721","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}
Pub Date : 2017-11-01DOI: 10.1109/TELFOR.2017.8249470
Bedoor K. AlShebli, Armin Alibasic, W. Woon, D. Svetinovic
Bibliometric techniques are widely used to study the factors leading to successful research, though this is not without its challenges. One notable problem is that academic data is very diverse, and involves complex interactions between many different entities and players. In this paper, a novel framework for analyzing heterogeneous academic data is proposed. While such a framework would have many different applications, this paper focuses on the design of an academic recommendation system, which is one interesting use case for this framework.
{"title":"Kanban-based framework for analysis of heterogeneous academic data","authors":"Bedoor K. AlShebli, Armin Alibasic, W. Woon, D. Svetinovic","doi":"10.1109/TELFOR.2017.8249470","DOIUrl":"https://doi.org/10.1109/TELFOR.2017.8249470","url":null,"abstract":"Bibliometric techniques are widely used to study the factors leading to successful research, though this is not without its challenges. One notable problem is that academic data is very diverse, and involves complex interactions between many different entities and players. In this paper, a novel framework for analyzing heterogeneous academic data is proposed. While such a framework would have many different applications, this paper focuses on the design of an academic recommendation system, which is one interesting use case for this framework.","PeriodicalId":422501,"journal":{"name":"2017 25th Telecommunication Forum (TELFOR)","volume":"151 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124219820","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}
Pub Date : 2017-11-01DOI: 10.1109/TELFOR.2017.8249393
V. Stenin, A. V. Antonyuk, P. Stepanov, Yu. V. Katunin
The translation lookaside buffer is designed on the base of STG DICE cells with transistors which are spaced into two groups together with transistors of the output combinational logic. The elements contain two spaced identical blocks for the resistance to impacts of single nuclear particles compared to elements on 6-transistors memory cells. Basic elements that were used have no upsets of states during simulations at the linear energy transfer on tracks up to 60 MeV×cm2/mg. In combinational logic of the elements of matching and masking short-term noise pulses can occur.
{"title":"Design of the 65-nm CMOS translation lookaside buffer on the hardened elements","authors":"V. Stenin, A. V. Antonyuk, P. Stepanov, Yu. V. Katunin","doi":"10.1109/TELFOR.2017.8249393","DOIUrl":"https://doi.org/10.1109/TELFOR.2017.8249393","url":null,"abstract":"The translation lookaside buffer is designed on the base of STG DICE cells with transistors which are spaced into two groups together with transistors of the output combinational logic. The elements contain two spaced identical blocks for the resistance to impacts of single nuclear particles compared to elements on 6-transistors memory cells. Basic elements that were used have no upsets of states during simulations at the linear energy transfer on tracks up to 60 MeV×cm2/mg. In combinational logic of the elements of matching and masking short-term noise pulses can occur.","PeriodicalId":422501,"journal":{"name":"2017 25th Telecommunication Forum (TELFOR)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124238668","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}
Pub Date : 2017-11-01DOI: 10.1109/TELFOR.2017.8249323
Srđan D. Misailović, Tatjana Nikolić, G. Markovic
Wireless sensor networks represent technology for networking of sensor devices, as well as for other devices in IoT systems. The hierarchical routing protocols have many advantages when these networks are used in monitoring applications, with the energy efficient hierarchical multi-hop routing proposed for large scale networks that assures reliable data gathering in the non-ideal connectivity conditions. We here propose a modification of our previously designed multi-hop routing concept by employing clustering algorithm from HEED protocol in order to achieve uniformly placed clusters. The conducted analysis for several multi-hop protocols showed good performance of here proposed solution for ideal and non-ideal network connectivity.
{"title":"An analysis of hierarchical multi-hop routing protocols for large wireless sensor networks","authors":"Srđan D. Misailović, Tatjana Nikolić, G. Markovic","doi":"10.1109/TELFOR.2017.8249323","DOIUrl":"https://doi.org/10.1109/TELFOR.2017.8249323","url":null,"abstract":"Wireless sensor networks represent technology for networking of sensor devices, as well as for other devices in IoT systems. The hierarchical routing protocols have many advantages when these networks are used in monitoring applications, with the energy efficient hierarchical multi-hop routing proposed for large scale networks that assures reliable data gathering in the non-ideal connectivity conditions. We here propose a modification of our previously designed multi-hop routing concept by employing clustering algorithm from HEED protocol in order to achieve uniformly placed clusters. The conducted analysis for several multi-hop protocols showed good performance of here proposed solution for ideal and non-ideal network connectivity.","PeriodicalId":422501,"journal":{"name":"2017 25th Telecommunication Forum (TELFOR)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126297354","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}
Pub Date : 2017-11-01DOI: 10.1109/TELFOR.2017.8249442
Lazar Berbakov, Franco Nicolás Tripi, Alberto Cuevas Abad, Javier Vázquez Gómez, Bogdan Pavković
In this paper we present an Android application for collaborative mapping and awareness in emergency situations based on Google Firebase platform. The main purpose of the application is to act as a tool for firefighters and other emergency workers that allow them to visually communicate the situation in the field by collaboratively creating a map and uploading multimedia files. The application was developed using Android framework with Firebase authentication and real-time database that allow secure authentication and real-time capabilities and at the same time significantly shorten the development time.
{"title":"Android application for collaborative mapping in emergency situations","authors":"Lazar Berbakov, Franco Nicolás Tripi, Alberto Cuevas Abad, Javier Vázquez Gómez, Bogdan Pavković","doi":"10.1109/TELFOR.2017.8249442","DOIUrl":"https://doi.org/10.1109/TELFOR.2017.8249442","url":null,"abstract":"In this paper we present an Android application for collaborative mapping and awareness in emergency situations based on Google Firebase platform. The main purpose of the application is to act as a tool for firefighters and other emergency workers that allow them to visually communicate the situation in the field by collaboratively creating a map and uploading multimedia files. The application was developed using Android framework with Firebase authentication and real-time database that allow secure authentication and real-time capabilities and at the same time significantly shorten the development time.","PeriodicalId":422501,"journal":{"name":"2017 25th Telecommunication Forum (TELFOR)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129870623","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}
Pub Date : 2017-11-01DOI: 10.1109/TELFOR.2017.8249438
Era Ajdaraga, M. Gusev
There are various ways a computer can detect QRS complexes, all of which depend on two main factors — the algorithm, and the data. In practice, doctors can pinpoint patient's R-peaks in an electrocardiogram by analyzing the complex morphology of the ECG signal; computers accomplish the same by utilizing different QRS detection algorithms. In this paper, we address the data problem to select the sample rate and resolution that obtain the highest accuracy. For this purpose, we conduct experiments to find the impact of the sampling frequency and resolution on the quality of the QRS detection, by several open-source QRS detection algorithms with multiple variations of data representation. The final goal is to recommend the lowest sampling frequency and smallest sampling resolution (bit depth), that will have sufficient data representation to enable high QRS detection accuracy.
{"title":"Analysis of sampling frequency and resolution in ECG signals","authors":"Era Ajdaraga, M. Gusev","doi":"10.1109/TELFOR.2017.8249438","DOIUrl":"https://doi.org/10.1109/TELFOR.2017.8249438","url":null,"abstract":"There are various ways a computer can detect QRS complexes, all of which depend on two main factors — the algorithm, and the data. In practice, doctors can pinpoint patient's R-peaks in an electrocardiogram by analyzing the complex morphology of the ECG signal; computers accomplish the same by utilizing different QRS detection algorithms. In this paper, we address the data problem to select the sample rate and resolution that obtain the highest accuracy. For this purpose, we conduct experiments to find the impact of the sampling frequency and resolution on the quality of the QRS detection, by several open-source QRS detection algorithms with multiple variations of data representation. The final goal is to recommend the lowest sampling frequency and smallest sampling resolution (bit depth), that will have sufficient data representation to enable high QRS detection accuracy.","PeriodicalId":422501,"journal":{"name":"2017 25th Telecommunication Forum (TELFOR)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130780048","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}
Pub Date : 2017-11-01DOI: 10.1109/TELFOR.2017.8249305
B. Bukvic, M. Ilić
We characterize the nonlinearities of a novel 10 W class-J power amplifier (PA) with a carrier at 1.5 GHz. We employ both numerical simulations and real time adjacent channel power ratio (ACPR) measurements on a fabricated prototype. The measurements are performed for a wideband code division multiple access (WCDMA) signal with 10.5 dB peak-to-average power ratio (PAPR) and 3.84 MHz bandwidth. For a 31.4 dBm modulated output power, the measured ACPR in the lower and upper adjacent channels was 37.89 dBc and 36.82 dBc, respectively, without predistortion.
{"title":"Characterization of nonlinearities in a class-J power amplifier","authors":"B. Bukvic, M. Ilić","doi":"10.1109/TELFOR.2017.8249305","DOIUrl":"https://doi.org/10.1109/TELFOR.2017.8249305","url":null,"abstract":"We characterize the nonlinearities of a novel 10 W class-J power amplifier (PA) with a carrier at 1.5 GHz. We employ both numerical simulations and real time adjacent channel power ratio (ACPR) measurements on a fabricated prototype. The measurements are performed for a wideband code division multiple access (WCDMA) signal with 10.5 dB peak-to-average power ratio (PAPR) and 3.84 MHz bandwidth. For a 31.4 dBm modulated output power, the measured ACPR in the lower and upper adjacent channels was 37.89 dBc and 36.82 dBc, respectively, without predistortion.","PeriodicalId":422501,"journal":{"name":"2017 25th Telecommunication Forum (TELFOR)","volume":"80-81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126639259","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}
Pub Date : 2017-11-01DOI: 10.1109/TELFOR.2017.8249462
S. Novak, Dejan Stefanovic, V. Pekovic, Nenad Soskic
The HbbTV 2.0 specification, published in 2015 by the Hybrid Broadcast Broadband TV (HbbTV) Association aims to integrate companion screen devices (mobile devices, tablets, etc) into HbbTV environment. This enables broadcasters to utilize second screen devices in order to show additional content-related information, stream broadcast content or launch and install native applications. In this paper we present an environment and tools used for verifying DIAL functionalities on HbbTV 2.0 compatible devices.
{"title":"Implementation of a sub-system for DIAL verification within HbbTV test environment","authors":"S. Novak, Dejan Stefanovic, V. Pekovic, Nenad Soskic","doi":"10.1109/TELFOR.2017.8249462","DOIUrl":"https://doi.org/10.1109/TELFOR.2017.8249462","url":null,"abstract":"The HbbTV 2.0 specification, published in 2015 by the Hybrid Broadcast Broadband TV (HbbTV) Association aims to integrate companion screen devices (mobile devices, tablets, etc) into HbbTV environment. This enables broadcasters to utilize second screen devices in order to show additional content-related information, stream broadcast content or launch and install native applications. In this paper we present an environment and tools used for verifying DIAL functionalities on HbbTV 2.0 compatible devices.","PeriodicalId":422501,"journal":{"name":"2017 25th Telecommunication Forum (TELFOR)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126883623","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}
Pub Date : 2017-11-01DOI: 10.1109/TELFOR.2017.8249486
Slavko Žitnik, D. Drašković, B. Nikolić, M. Bajec
Nowadays, there are many tools and applications available that use novel machine learning algorithms, but only few tools exist that bridge the gap between the computer scientists and general public. The latter especially holds for the field of natural language processing. Therefore in this paper we present a new information extraction toolkit, called nutIE, that offers a frontend for end-to-end text analysis using a modern javascript-based web application. The core of the toolkit includes all the high-level information extraction techniques with supporting preprocessing and evaluation methods. All these can be accessed by a Scala programmatic API or an arbitrary third-party application via REST interface. It has already been shown that the integrated toolkit's algorithms achieve state-of-the art results. The toolkit is currently applied at international text processing projects and courses.
{"title":"nutIE — A modern open source natural language processing toolkit","authors":"Slavko Žitnik, D. Drašković, B. Nikolić, M. Bajec","doi":"10.1109/TELFOR.2017.8249486","DOIUrl":"https://doi.org/10.1109/TELFOR.2017.8249486","url":null,"abstract":"Nowadays, there are many tools and applications available that use novel machine learning algorithms, but only few tools exist that bridge the gap between the computer scientists and general public. The latter especially holds for the field of natural language processing. Therefore in this paper we present a new information extraction toolkit, called nutIE, that offers a frontend for end-to-end text analysis using a modern javascript-based web application. The core of the toolkit includes all the high-level information extraction techniques with supporting preprocessing and evaluation methods. All these can be accessed by a Scala programmatic API or an arbitrary third-party application via REST interface. It has already been shown that the integrated toolkit's algorithms achieve state-of-the art results. The toolkit is currently applied at international text processing projects and courses.","PeriodicalId":422501,"journal":{"name":"2017 25th Telecommunication Forum (TELFOR)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126907639","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}
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