Pub Date : 2021-09-20DOI: 10.1109/BalkanCom53780.2021.9593234
Emre Sahin, O. Dagdeviren, M. Akkaş
Disasters such as earthquakes cause thousands of deaths every year. Since it is not possible to predict such disasters, research has generally focused on search and rescue operations in the debris area after these disasters. Due to the structures of the debris areas, where there are very tiny gaps between the wracks, the use of large-scale advanced devices is very limited in these operations. On the other hand, nanodevices that can easily pass through these gaps and scatter into the debris area can be used to gather information from under the wreckage. The computing complexities and transmission ranges of nanodevices differ according to their size and the amount of energy they have. In this study, TeraHertz (THz) channel models in debris areas of different densities were investigated for different types of nanodevices. Our contribution is a detailed analysis of channel properties using 0.1–0.35 THz for debris areas in terms of transmittance, absorption loss and path loss. Moreover, a novel research topic is suggested for nanonetwork applications generally associated with biomedical and agricultural studies.
{"title":"TeraHertz Channel Model for Search and Rescue Nanonetwork Applications in Debris Areas","authors":"Emre Sahin, O. Dagdeviren, M. Akkaş","doi":"10.1109/BalkanCom53780.2021.9593234","DOIUrl":"https://doi.org/10.1109/BalkanCom53780.2021.9593234","url":null,"abstract":"Disasters such as earthquakes cause thousands of deaths every year. Since it is not possible to predict such disasters, research has generally focused on search and rescue operations in the debris area after these disasters. Due to the structures of the debris areas, where there are very tiny gaps between the wracks, the use of large-scale advanced devices is very limited in these operations. On the other hand, nanodevices that can easily pass through these gaps and scatter into the debris area can be used to gather information from under the wreckage. The computing complexities and transmission ranges of nanodevices differ according to their size and the amount of energy they have. In this study, TeraHertz (THz) channel models in debris areas of different densities were investigated for different types of nanodevices. Our contribution is a detailed analysis of channel properties using 0.1–0.35 THz for debris areas in terms of transmittance, absorption loss and path loss. Moreover, a novel research topic is suggested for nanonetwork applications generally associated with biomedical and agricultural studies.","PeriodicalId":115090,"journal":{"name":"2021 International Balkan Conference on Communications and Networking (BalkanCom)","volume":"20 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133169670","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 : 2021-09-20DOI: 10.1109/BalkanCom53780.2021.9593181
Evangelos N. Papasotiriou, Alexandros-Apostolos A. Boulogeorgos, A. Alexiou
This contribution aims at experimentally validating the suitability of well known fading distributions in modeling the channel of indoor THz wireless systems. In particular the suitability of α–μ, Rice and Nakagamim distributions is evaluated by fitting them to empirical channel measurements. The fitting performance is expressed in terms of the Kolmogorov-Smirnov (KS) and Kullback-Leibler (KL) divergence tests. The results show that the α–μ and Rice distributions achieve a good fit to the empirical data, wheras the Nakagami-m distribution fails to provide an adequate fit in the majority of the examined THz links.
{"title":"Fading Modeling in Indoor THz Wireless Systems","authors":"Evangelos N. Papasotiriou, Alexandros-Apostolos A. Boulogeorgos, A. Alexiou","doi":"10.1109/BalkanCom53780.2021.9593181","DOIUrl":"https://doi.org/10.1109/BalkanCom53780.2021.9593181","url":null,"abstract":"This contribution aims at experimentally validating the suitability of well known fading distributions in modeling the channel of indoor THz wireless systems. In particular the suitability of α–μ, Rice and Nakagamim distributions is evaluated by fitting them to empirical channel measurements. The fitting performance is expressed in terms of the Kolmogorov-Smirnov (KS) and Kullback-Leibler (KL) divergence tests. The results show that the α–μ and Rice distributions achieve a good fit to the empirical data, wheras the Nakagami-m distribution fails to provide an adequate fit in the majority of the examined THz links.","PeriodicalId":115090,"journal":{"name":"2021 International Balkan Conference on Communications and Networking (BalkanCom)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114926557","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 : 2021-09-20DOI: 10.1109/BalkanCom53780.2021.9593247
Minxiang Ye, V. Stanković, L. Stanković, Srdjan Lulic, A. Anderla, S. Sladojevic
Automated Electrocardiogram (ECG)-based arrhythmia detection methods replace traditional, manual arrhythmia detection reducing the requirement for trained medical staff. Traditionally, ECG-based arrhythmia detection is performed via QRS complex detection followed by feature extraction, based on hand-crafted features, such as RR-intervals, Fast Fourier Transform-based features, wavelet analysis, higher order statistics and Hermite features. After the features are extracted, the ECG segments are classified into pre-defined categories. This study investigates the value of the feature extraction and selection methods for ECG-based arrhythmia detection. That is, with the emerging trend of deep learning methods which are capable of automatic feature extraction and selection, the research question addressed in this paper is if good classification performance can be obtained by feeding the raw ECG sequence directly into robust classifiers or handcrafted feature extraction/selection is necessary. Classification performance across a range of state-of-the-art classification methods indicates that feeding raw signals into the convolution neural network-based classifiers usually leads to the best performance but at the expense of high inference time.
{"title":"Feature Selection and Extraction in Sequence Labeling for Arrhythmia Detection","authors":"Minxiang Ye, V. Stanković, L. Stanković, Srdjan Lulic, A. Anderla, S. Sladojevic","doi":"10.1109/BalkanCom53780.2021.9593247","DOIUrl":"https://doi.org/10.1109/BalkanCom53780.2021.9593247","url":null,"abstract":"Automated Electrocardiogram (ECG)-based arrhythmia detection methods replace traditional, manual arrhythmia detection reducing the requirement for trained medical staff. Traditionally, ECG-based arrhythmia detection is performed via QRS complex detection followed by feature extraction, based on hand-crafted features, such as RR-intervals, Fast Fourier Transform-based features, wavelet analysis, higher order statistics and Hermite features. After the features are extracted, the ECG segments are classified into pre-defined categories. This study investigates the value of the feature extraction and selection methods for ECG-based arrhythmia detection. That is, with the emerging trend of deep learning methods which are capable of automatic feature extraction and selection, the research question addressed in this paper is if good classification performance can be obtained by feeding the raw ECG sequence directly into robust classifiers or handcrafted feature extraction/selection is necessary. Classification performance across a range of state-of-the-art classification methods indicates that feeding raw signals into the convolution neural network-based classifiers usually leads to the best performance but at the expense of high inference time.","PeriodicalId":115090,"journal":{"name":"2021 International Balkan Conference on Communications and Networking (BalkanCom)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117296169","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 : 2021-09-20DOI: 10.1109/BalkanCom53780.2021.9593263
M. Stanaćević, A. Ahmad, Xiao Sha, A. Athalye, S. Das, Kelly K. Caylor, B. Glisic, P. Djurić
There is a growing need for accurate and reliable assessment of conditions of a variety of engineering structures and for monitoring of their performance. Miniaturized, passive, backscatter-based RF sensors with embedded computational capabilities could enable advanced structural health monitoring at high fidelity and at large-scale. Specifically, these RF-powered devices, pervasively embedded and dispersed within the structural material, can sense parameters of interest throughout large volumes of instrumented structure, perform modest local computations to infer structural conditions, and communicate via backscatter modulation while consuming near-zero power. We demonstrate that the backscatter channel phase sensing enables quantification of a size of air gap between two RF sensors embedded in sand. Additionally, we demonstrate the sensitivity of the phase to the strain of the sand.
{"title":"RF Backscatter-Based Sensors for Structural Health Monitoring","authors":"M. Stanaćević, A. Ahmad, Xiao Sha, A. Athalye, S. Das, Kelly K. Caylor, B. Glisic, P. Djurić","doi":"10.1109/BalkanCom53780.2021.9593263","DOIUrl":"https://doi.org/10.1109/BalkanCom53780.2021.9593263","url":null,"abstract":"There is a growing need for accurate and reliable assessment of conditions of a variety of engineering structures and for monitoring of their performance. Miniaturized, passive, backscatter-based RF sensors with embedded computational capabilities could enable advanced structural health monitoring at high fidelity and at large-scale. Specifically, these RF-powered devices, pervasively embedded and dispersed within the structural material, can sense parameters of interest throughout large volumes of instrumented structure, perform modest local computations to infer structural conditions, and communicate via backscatter modulation while consuming near-zero power. We demonstrate that the backscatter channel phase sensing enables quantification of a size of air gap between two RF sensors embedded in sand. Additionally, we demonstrate the sensitivity of the phase to the strain of the sand.","PeriodicalId":115090,"journal":{"name":"2021 International Balkan Conference on Communications and Networking (BalkanCom)","volume":"5 22","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120863558","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 : 2021-09-20DOI: 10.1109/BalkanCom53780.2021.9593227
Milica Lekic, G. Gardasevic
The ever-growing interest in various applications of Wireless Sensor Networks (WSNs) in the Industrial Internet of Things (IIoT) scenarios imply the need for careful planning, design, and operational strategy. Intensified research activities are directed towards providing reliable and secure transmission technologies and protocols. This paper provides preliminary results of the experimental campaign in testing the performance of 6TiSCH (IPv6 over the TSCH mode of IEEE 802.15.4e) network while supporting multiple physical layers. For measurement purposes, the OpenMote-B hardware platform implementing the IEEE 802.15.4g and equipped with an Atmel AT86RF215 radio transceiver has been deployed.
{"title":"Performance Evaluation of 6TiSCH Network with Multiple Physical Layers","authors":"Milica Lekic, G. Gardasevic","doi":"10.1109/BalkanCom53780.2021.9593227","DOIUrl":"https://doi.org/10.1109/BalkanCom53780.2021.9593227","url":null,"abstract":"The ever-growing interest in various applications of Wireless Sensor Networks (WSNs) in the Industrial Internet of Things (IIoT) scenarios imply the need for careful planning, design, and operational strategy. Intensified research activities are directed towards providing reliable and secure transmission technologies and protocols. This paper provides preliminary results of the experimental campaign in testing the performance of 6TiSCH (IPv6 over the TSCH mode of IEEE 802.15.4e) network while supporting multiple physical layers. For measurement purposes, the OpenMote-B hardware platform implementing the IEEE 802.15.4g and equipped with an Atmel AT86RF215 radio transceiver has been deployed.","PeriodicalId":115090,"journal":{"name":"2021 International Balkan Conference on Communications and Networking (BalkanCom)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122228935","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 : 2021-09-20DOI: 10.1109/BalkanCom53780.2021.9593145
K. Bezas, Georgios Tsoumanis, K. Oikonomou
Drone swarms are employed for multiple applications nowadays, such as early detection of forest fires, disaster response missions etc., area coverage being the main hurdle these applications face. In this work, an algorithm is proposed for drone swarms that achieves full area coverage and Point of Interest (PoI) detection with no decomposition for areas with simple polygon shapes and no obstacles. It employs small pieces of information that are exchanged among the swarm drones in real-time. Parallel lines and spiral coverage paths are examined in terms of the number of slowdowns in the swarms speed to fully collect information from a detected PoI, the scanned PoIs, and the formation switches that are executed when the swarm has to alter its flying direction. Simulations are developed for a square area shape. The results showcase that the parallel coverage path is more efficient in terms of cover time and travel distance compared to the spiral. The parallel coverage requires less slowdowns for the same percentage of scanned PoIs.
{"title":"A Coverage Path Planning Algorithm for Self-Organizing Drone Swarms","authors":"K. Bezas, Georgios Tsoumanis, K. Oikonomou","doi":"10.1109/BalkanCom53780.2021.9593145","DOIUrl":"https://doi.org/10.1109/BalkanCom53780.2021.9593145","url":null,"abstract":"Drone swarms are employed for multiple applications nowadays, such as early detection of forest fires, disaster response missions etc., area coverage being the main hurdle these applications face. In this work, an algorithm is proposed for drone swarms that achieves full area coverage and Point of Interest (PoI) detection with no decomposition for areas with simple polygon shapes and no obstacles. It employs small pieces of information that are exchanged among the swarm drones in real-time. Parallel lines and spiral coverage paths are examined in terms of the number of slowdowns in the swarms speed to fully collect information from a detected PoI, the scanned PoIs, and the formation switches that are executed when the swarm has to alter its flying direction. Simulations are developed for a square area shape. The results showcase that the parallel coverage path is more efficient in terms of cover time and travel distance compared to the spiral. The parallel coverage requires less slowdowns for the same percentage of scanned PoIs.","PeriodicalId":115090,"journal":{"name":"2021 International Balkan Conference on Communications and Networking (BalkanCom)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134292180","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 : 2021-09-20DOI: 10.1109/BalkanCom53780.2021.9593228
A. Munari, E. Uysal
This paper introduces and discusses some recent advances in the field of information freshness for Internet of things (IoT) applications. Focusing on a setup in which a large number of transmitters share a common wireless channel to deliver updates to a common receiver, we tackle in particular the role played by random access policies based on variations of the basic ALOHA protocol, employed in most practical IoT systems. The fundamental trade-offs that emerge are discussed together with the enhancement achieved by a number of novel schemes tailored to optimize age of information. The article aims to trigger discussion and further research on a relevant yet still largely unexplored field, and highlights some important issues and challenges that have yet to be addressed.
{"title":"Information Freshness in Random Access Channels for IoT Systems","authors":"A. Munari, E. Uysal","doi":"10.1109/BalkanCom53780.2021.9593228","DOIUrl":"https://doi.org/10.1109/BalkanCom53780.2021.9593228","url":null,"abstract":"This paper introduces and discusses some recent advances in the field of information freshness for Internet of things (IoT) applications. Focusing on a setup in which a large number of transmitters share a common wireless channel to deliver updates to a common receiver, we tackle in particular the role played by random access policies based on variations of the basic ALOHA protocol, employed in most practical IoT systems. The fundamental trade-offs that emerge are discussed together with the enhancement achieved by a number of novel schemes tailored to optimize age of information. The article aims to trigger discussion and further research on a relevant yet still largely unexplored field, and highlights some important issues and challenges that have yet to be addressed.","PeriodicalId":115090,"journal":{"name":"2021 International Balkan Conference on Communications and Networking (BalkanCom)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134107109","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 : 2021-09-20DOI: 10.1109/BalkanCom53780.2021.9593244
A. Saeed, Ammar Saleem, O. Gurbuz, M. Akkaş
Terahertz (THz) communications has been recognized as a candidate technology for the next generation networks as the THz band offers large bandwidth and data rates, catering for the problem of spectrum scarcity. However, THz band propagation is highly affected by atmospheric absorption due to water vapor molecules, in addition to the high spread loss. Modeling of the absorption loss is essential for a realistic closed form THz path loss model, which can be employed in link level analysis and formulations. For this purpose, in this paper, we characterize the THz transmittance i.e., absorption gain using the data obtained from Line-by-Line Radiative Transfer Model (LBLRTM) tool, considering the available frequency channels selected via water-filling, altitudes from sea-level to drone altitudes and various transmission ranges. We analyze the modeling of transmittance as a function of: (1) Frequency, (2) Distance and (3) Altitude, using different statistical models including, Polynomial, Exponential and Gaussian models. Numerical results depict that modeling transmittance as a function of distance and altitude are feasible approaches using the exponential and the polynomial models, respectively. This work can be extended to characterize the transmittance for all frequencies over the entire THz band, and also for higher altitudes and longer ranges.
{"title":"Characterization of Terahertz Band Transmittance from Sea-Level to Drone Altitudes","authors":"A. Saeed, Ammar Saleem, O. Gurbuz, M. Akkaş","doi":"10.1109/BalkanCom53780.2021.9593244","DOIUrl":"https://doi.org/10.1109/BalkanCom53780.2021.9593244","url":null,"abstract":"Terahertz (THz) communications has been recognized as a candidate technology for the next generation networks as the THz band offers large bandwidth and data rates, catering for the problem of spectrum scarcity. However, THz band propagation is highly affected by atmospheric absorption due to water vapor molecules, in addition to the high spread loss. Modeling of the absorption loss is essential for a realistic closed form THz path loss model, which can be employed in link level analysis and formulations. For this purpose, in this paper, we characterize the THz transmittance i.e., absorption gain using the data obtained from Line-by-Line Radiative Transfer Model (LBLRTM) tool, considering the available frequency channels selected via water-filling, altitudes from sea-level to drone altitudes and various transmission ranges. We analyze the modeling of transmittance as a function of: (1) Frequency, (2) Distance and (3) Altitude, using different statistical models including, Polynomial, Exponential and Gaussian models. Numerical results depict that modeling transmittance as a function of distance and altitude are feasible approaches using the exponential and the polynomial models, respectively. This work can be extended to characterize the transmittance for all frequencies over the entire THz band, and also for higher altitudes and longer ranges.","PeriodicalId":115090,"journal":{"name":"2021 International Balkan Conference on Communications and Networking (BalkanCom)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123708114","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 : 2021-09-20DOI: 10.1109/BalkanCom53780.2021.9593258
D. Bajović, Arian Bakhtiarnia, G. Bravos, A. Brutti, Felix Burkhardt, Daniel Cauchi, A. Chazapis, Claire Cianco, Nicola Dall’Asen, V. Delić, Christos Dimou, Djordje Djokic, Antonio Escobar-Molero, L. Esterle, F. Eyben, Elisabetta Farella, T. Festi, A. Geromitsos, Giannis Giakoumakis, George Hatzivasilis, S. Ioannidis, Alexandros Iosifidis, T. Kallipolitou, Grigorios Kalogiannis, Akrivi Kiousi, D. Kopanaki, M. Marazakis, Stella Markopoulou, A. Muscat, F. Paissan, T. Lobo, D. Pavlović, Theofanis P. Raptis, E. Ricci, Borja Saez, Farhan Sahito, K. Scerri, Björn Schuller, Nikola Simić, G. Spanoudakis, Alex Tomasi, Andreas Triantafyllopoulos, L. Valerio, Javier Villazán, Yiming Wang, A. Xuereb, J. Zammit
A Smart City based on data acquisition, handling and intelligent analysis requires efficient design and implementation of the respective AI technologies and the underlying infrastructure for seamlessly analyzing the large amounts of data in real-time. The EU project MARVEL will research solutions that can improve the integration of multiple data sources in a Smart City environment for harnessing the advantages rooted in multimodal perception of the surrounding environment.
{"title":"MARVEL: Multimodal Extreme Scale Data Analytics for Smart Cities Environments","authors":"D. Bajović, Arian Bakhtiarnia, G. Bravos, A. Brutti, Felix Burkhardt, Daniel Cauchi, A. Chazapis, Claire Cianco, Nicola Dall’Asen, V. Delić, Christos Dimou, Djordje Djokic, Antonio Escobar-Molero, L. Esterle, F. Eyben, Elisabetta Farella, T. Festi, A. Geromitsos, Giannis Giakoumakis, George Hatzivasilis, S. Ioannidis, Alexandros Iosifidis, T. Kallipolitou, Grigorios Kalogiannis, Akrivi Kiousi, D. Kopanaki, M. Marazakis, Stella Markopoulou, A. Muscat, F. Paissan, T. Lobo, D. Pavlović, Theofanis P. Raptis, E. Ricci, Borja Saez, Farhan Sahito, K. Scerri, Björn Schuller, Nikola Simić, G. Spanoudakis, Alex Tomasi, Andreas Triantafyllopoulos, L. Valerio, Javier Villazán, Yiming Wang, A. Xuereb, J. Zammit","doi":"10.1109/BalkanCom53780.2021.9593258","DOIUrl":"https://doi.org/10.1109/BalkanCom53780.2021.9593258","url":null,"abstract":"A Smart City based on data acquisition, handling and intelligent analysis requires efficient design and implementation of the respective AI technologies and the underlying infrastructure for seamlessly analyzing the large amounts of data in real-time. The EU project MARVEL will research solutions that can improve the integration of multiple data sources in a Smart City environment for harnessing the advantages rooted in multimodal perception of the surrounding environment.","PeriodicalId":115090,"journal":{"name":"2021 International Balkan Conference on Communications and Networking (BalkanCom)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126728582","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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