S. Sone, Janne J. Lehtomäki, Z. Khan, K. Umebayashi, Zunera Javed
{"title":"Utilizing Uncertainty of Time Series Prediction in Spectrum Sharing with Radar Systems","authors":"S. Sone, Janne J. Lehtomäki, Z. Khan, K. Umebayashi, Zunera Javed","doi":"10.1109/TELFOR56187.2022.9983725","DOIUrl":"https://doi.org/10.1109/TELFOR56187.2022.9983725","url":null,"abstract":"Interference prediction with neural networks (NNs) can help in proactive resource management for spectrum sharing in 5.6 GHz radar bands. This can achieve high data rates for secondary users (SUs) of the shared spectrum and enhance the protection of the incumbent radar systems. The recently introduced efficient sharing and radar protection (ESRP) system with interference prediction used NN-based long short-term memory (LSTM) and Monte Carlo (MC) dropout to utilize the uncertainties in the interference from the access point (APs). Due to the random nature of radio propagation, the permissible probability of harmful interference at the radar (εp) for the ESRP system varies depending on the MC dropout and prediction intervals (PIs) which represents the amount of uncertainty captured in the system. In this work, we use a gated recurrent unit (GRU) which is simpler and faster than LSTM for interference prediction. We also investigate how the different MC dropout values can vary the parameter εp and improve the radar protection performance of the ESRP system. The results show that radar protection performance can increase by using GRU and the values of MC dropout play an important role in the ESRP system ensuring better radar protection with a small trade-off for throughput of the SUs which are the APs.","PeriodicalId":277553,"journal":{"name":"2022 30th Telecommunications Forum (TELFOR)","volume":"1 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":"129285471","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":"Hydrogen sensor module based on MEMS technology","authors":"G. Suciu, Andrei Scheianu, Ioana Petre","doi":"10.1109/TELFOR56187.2022.9983687","DOIUrl":"https://doi.org/10.1109/TELFOR56187.2022.9983687","url":null,"abstract":"Hydrogen is used nowadays in many industrial applications all over the world because of its flexibility and efficiency. Hydrogen fuel represents a clean energy source and can be the most suitable alternative for gasoline and natural gas since when it burns, there are no emissions besides water vapor. Nowadays, the demand for hydrogen sensors is continuously increasing, especially in fields such as fuel cell electric vehicles or electric transformers. Hydrogen has been currently acknowledged as an element of energy storage, having the capability of reducing several obstacles encountered in fossil fuels, like air pollution, global warming, etc. These requirements claim to develop a new sensor technology that presents requirements that can be easily integrated into multiple industrial applications. The introduction of highly sensitive hydrogen sensors as a consumer fuel has caused huge concerns over its safety, corresponding to increased interest in hydrogen sensors and leak detection. This paper aims to describe the concept of a hydrogen sensor with a micro-heater that is fabricated using MEMS technology for a hydrogen-based society. The main features of the hydrogen sensor include a micro-heater, thermal isolation, and a temperature sensor which will be realized in a reliable and cost-effective way to achieve high-yield rate and low-power consumption.","PeriodicalId":277553,"journal":{"name":"2022 30th Telecommunications Forum (TELFOR)","volume":"273 1 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":"116848001","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}
Nikola Stojkovic, Kristina Matović, Snezana Puzović, G. Kvascev
{"title":"Early Interference Detection in HFSWR Input Channel using Convolutional Neural Network","authors":"Nikola Stojkovic, Kristina Matović, Snezana Puzović, G. Kvascev","doi":"10.1109/TELFOR56187.2022.9983664","DOIUrl":"https://doi.org/10.1109/TELFOR56187.2022.9983664","url":null,"abstract":"Early detection of ionospheric interference is crucial for continuous monitoring of remote sea areas of exclusive economic zone (EEZ) using high-frequency over the horizon radar (HF-OTHR). In this paper, approach with convolutional neural networks and transfer learning is proposed for detection of the regions affected with ionospheric and other types of interference instead of conventional spectrum analysis. Early detection of interference that is frequency dependent may lead to changing the operating frequency of radar. Adopted approach provided very good results.","PeriodicalId":277553,"journal":{"name":"2022 30th Telecommunications Forum (TELFOR)","volume":"10 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":"115247378","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}
Dimitar Kitanovski, Miroslav Mirchev, I. Chorbev, I. Mishkovski
{"title":"Cryptocurrency Portfolio Diversification Using Network Community Detection","authors":"Dimitar Kitanovski, Miroslav Mirchev, I. Chorbev, I. Mishkovski","doi":"10.1109/TELFOR56187.2022.9983742","DOIUrl":"https://doi.org/10.1109/TELFOR56187.2022.9983742","url":null,"abstract":"As of the end of 2013 till now we are witnessing huge volatility and risk in the cryptocurrency market compared to flat currency or stock market. Thus, in this market the portfolio diversification is of big importance in order to reduce volatility and keep the optimal return for the investors. A usual approach for portfolio construction is to keep a balance between returns and volatility, based on their interdependence and individual returns. One way of diversification is employing clustering or community detection algorithms to select a more diverse set of assets. We study the utilization of the Louvain algorithm and affinity propagation for community detection, based on correlation and mutual information between cryptocurrencies, for potential application in portfolio diversification.","PeriodicalId":277553,"journal":{"name":"2022 30th Telecommunications Forum (TELFOR)","volume":"128 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":"114430343","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}
Fortunato Gabriele Lo Giudice, F. De Rango, M. Voznák, J. Rozhon
{"title":"Using QKD-exchanged keys for encryption of VPN","authors":"Fortunato Gabriele Lo Giudice, F. De Rango, M. Voznák, J. Rozhon","doi":"10.1109/TELFOR56187.2022.9983749","DOIUrl":"https://doi.org/10.1109/TELFOR56187.2022.9983749","url":null,"abstract":"The paper aims to highlight how symmetric cryptographic key generation via Quantum Key Distribution-based technology can be used to secure protected communications within a private network. Within a testbed of the 5G network installed in the campus of the Technical University of Ostrava, the quantum key distribution (QKD) technology and encryptors are implemented to demonstrate secure 5G network concepts such as network function virtualization (NFV) and network management software-defined networking (SDN). Specifically, two APIs are programmed with all the necessary steps for two Secure Application Entities to secure a new symmetric key that is in turn generated by two Key Manager Entities via a protocol called \"Coherent One-Way\".","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":"131401342","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}
I. Stanković, M. Brajović, L. Stanković, M. Daković
{"title":"Effect of Companding in the Reconstruction of Nonsparse Signals","authors":"I. Stanković, M. Brajović, L. Stanković, M. Daković","doi":"10.1109/TELFOR56187.2022.9983712","DOIUrl":"https://doi.org/10.1109/TELFOR56187.2022.9983712","url":null,"abstract":"In this paper, the error of companding quantization is analyzed in the reconstruction of nonsparse (approximately sparse) signals. Compressive sensing (CS) algorithms are used for the reconstruction of these signals from a reduced set of available observations. The standard CS theory assumes that the available and reconstructed samples are represented with unlimited number of bits. However, hardware implementation demands that only a finite number of bits can be used, thereby introducing the quantization effect into the CS framework. The reconstruction based on uniformly quantizatized measurements showed promising results. However, nonuniform quantization introduces additional improvements in the reconstruction performance. Companding is a way to nonuniformly quantize signals. It is based on compression of the signal, quantization, and subsequent expansion of the quantized signal. In this paper, we present a theoretical error characterizing the reconstruction process based on quantized measurements, which is further verified on series of numerical examples.","PeriodicalId":277553,"journal":{"name":"2022 30th Telecommunications Forum (TELFOR)","volume":"1 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":"131336393","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. Denisenko, Nikolay N. Prokopenko, Nikolay N. Butyrlagin, Y. Ivanov
{"title":"Novel Bandpass RLC-Filter","authors":"D. Denisenko, Nikolay N. Prokopenko, Nikolay N. Butyrlagin, Y. Ivanov","doi":"10.1109/TELFOR56187.2022.9983721","DOIUrl":"https://doi.org/10.1109/TELFOR56187.2022.9983721","url":null,"abstract":"A new architecture of the band-pass RLC filter (RLC-PBF) is considered, in which independent adjustment of the pole frequency, pole quality factor and transmission coefficient is implemented with different resistors at constant values of the capacitance of the frequency-setting capacitor and the frequency-setting inductance. The results of the RLC-PBF simulation in the Micro-Cap environment are discussed, which confirm these properties. The basic mathematical expressions for the transfer function of the RLC-PBF and the parameters of its amplitude-frequency characteristic are obtained. The proposed RLC-PBF circuitry is recommended for adaptive signal filtering in radio engineering and measuring systems. Due to the appropriate choice of parameters of active and passive elements, the operation of the considered RLC-PBF is ensured both at low and at high frequencies.","PeriodicalId":277553,"journal":{"name":"2022 30th Telecommunications Forum (TELFOR)","volume":"130 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":"128234449","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":"Towards an Improved Implementation of Hardware Transactional Memory on Asymmetric Processors","authors":"Z. Sustran, J. Protić, M. Tomasevic","doi":"10.1109/TELFOR56187.2022.9983786","DOIUrl":"https://doi.org/10.1109/TELFOR56187.2022.9983786","url":null,"abstract":"The paper describes typical challenges in a computer architecture research demonstrated on a case study of hardware transactional memory. It shows how the proposed concepts and solutions are implemented in a software simulator. Then, various experiments are carefully prepared in order to evaluate the performance of the proposed transactional memory implementation. The transactional memory in our experiments was paired with an asymmetric multicore processor with a support for transaction migration. We present design decisions how to implement the transactional memory, the transaction migration and the different cache memory subsystem organization in the simulator. Also, we varied cache memory subsystem organization and parameters in the experiments. Important issue was also how to organize data collected from the experiments, and how to analyze and visually present them. Finally, the paper demonstrates the use of a benchmark suite for the transactional memory. Problems that we encountered during research are pointed out and discussed and solutions for them are provided. The paper concludes with brief lessons we have learned in this research effort.","PeriodicalId":277553,"journal":{"name":"2022 30th Telecommunications Forum (TELFOR)","volume":"15 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":"131011211","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}
I. Stanković, M. Brajović, L. Stanković, M. Daković
{"title":"Laplacian-Driven Softmax Probability for Noisy Pixel Detection in Image Reconstruction","authors":"I. Stanković, M. Brajović, L. Stanković, M. Daković","doi":"10.1109/TELFOR56187.2022.9983707","DOIUrl":"https://doi.org/10.1109/TELFOR56187.2022.9983707","url":null,"abstract":"The paper presents a modified tool for detection of noise in images when the pixel intensity of noise is within the pixel range. The detection is based on a combination of an edge-detection tool, i.e. the Laplacian filter, and the Softmax function. Although considered as an edge detection technique in the digital image processing, the Laplacian can be efficiently used in the determining noisy pixels. The decision–making threshold is then found using the Softmax function, which is based on the probability of the pixel intensity, which decides if a pixel should be declared as corrupted. The reconstruction is then performed using a gradient-based algorithm. The method is tested and verified through examples.","PeriodicalId":277553,"journal":{"name":"2022 30th Telecommunications Forum (TELFOR)","volume":"1 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":"131204297","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}
Zdravko Paladin, N. Kapidani, E. Kočan, Tommaso Nicoletti, Georgios Vosinakis, Alkiviadis Astyakopoulos, Christos Bolakis, M. Moutzouris
{"title":"Applying the Big Data Technologies for Enhancing Maritime Interoperability Framework","authors":"Zdravko Paladin, N. Kapidani, E. Kočan, Tommaso Nicoletti, Georgios Vosinakis, Alkiviadis Astyakopoulos, Christos Bolakis, M. Moutzouris","doi":"10.1109/TELFOR56187.2022.9983697","DOIUrl":"https://doi.org/10.1109/TELFOR56187.2022.9983697","url":null,"abstract":"In this paper, we present the core applications of data lakes and other big data infrastructure technologies for the purpose of enhancing the maritime interoperability framework and ensuring resilient collaboration among agencies. The approach is based on the deployment of multi-layered & semantically enabled Data Lakes for storing various maritime data collected from heterogeneous sensors, and on the information exchange process through the Common Information Sharing Environment (CISE) network using advanced Command and Control (C2) platforms. The results of this paper are derived from the EU-funded project EFFECTOR, highlighting the significant contribution of advanced solutions using Artificial Intelligence algorithms and supporting UAV and C2 technologies to various operations at sea. The validation survey results collected from end-users after the execution of the maritime trials are presented as well.","PeriodicalId":277553,"journal":{"name":"2022 30th Telecommunications Forum (TELFOR)","volume":"59 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":"134044670","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}