2021 16th International Conference on Telecommunications (ConTEL)最新文献

Analysis of Open Access Data Sources for Application in Precision Agriculture 面向精准农业应用的开放数据源分析

2021 16th International Conference on Telecommunications (ConTEL) Pub Date : 2021-06-30 DOI: 10.23919/ConTEL52528.2021.9495978

Pavle Skocir, Katarina Mandaric, I. Kralj, Ivana Podnar Žarko, G. Jezic

{"title":"Analysis of Open Access Data Sources for Application in Precision Agriculture","authors":"Pavle Skocir, Katarina Mandaric, I. Kralj, Ivana Podnar Žarko, G. Jezic","doi":"10.23919/ConTEL52528.2021.9495978","DOIUrl":"https://doi.org/10.23919/ConTEL52528.2021.9495978","url":null,"abstract":"Precision agriculture uses new technologies to improve crop yields and increase profitability for farmers while reducing the inputs required to grow crops, such as land, water, fertilizers, pesticides, etc. Environmental microclimate data (e.g., air and soil temperature or moisture) are needed as inputs to precision agriculture applications so that adequate decisions and agrotechnical measures can be applied in the fields. Most of the existing precision agriculture solutions for environmental and crop monitoring use locally deployed sensors as the main data source. Since the deployment and maintenance of physical sensors in the fields potentially involves significant costs and human effort, open-access data sources may be an effective complement to environmental data from deployed sensors, but the question remains whether open-access data sources are comparable to locally deployed sensors in terms of accuracy. This paper analyzes the correlation between open environmental data sources provided by the Copernicus ERA5-Land and Agri4Cast data sets, and data collected by locally deployed sensors to determine the extent to which open data sources can be used in precision agriculture.","PeriodicalId":269755,"journal":{"name":"2021 16th International Conference on Telecommunications (ConTEL)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123567029","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}

引用次数: 0

Video production systems for videoconferencing and distance learning solutions 用于视频会议和远程学习的视频制作系统解决方案

2021 16th International Conference on Telecommunications (ConTEL) Pub Date : 2021-06-30 DOI: 10.23919/ConTEL52528.2021.9495973

Tim Jeršič, Žana Juvan, Klemen Pecnik

引用次数: 0

Comparing energy consumption of application layer protocols on IoT devices 对比物联网设备的应用层协议能耗

2021 16th International Conference on Telecommunications (ConTEL) Pub Date : 2021-06-30 DOI: 10.23919/ConTEL52528.2021.9495993

Tomislav Stefanec, M. Kusek

引用次数: 1

Keynote 3: Quality of Experience in the Era of Immersive Networked Multimedia Services 主题演讲3:沉浸式网络多媒体服务时代的体验质量

2021 16th International Conference on Telecommunications (ConTEL) Pub Date : 2021-06-30 DOI: 10.23919/contel52528.2021.9495958

引用次数: 0

Heterogeneous autonomous robotic system in viticulture and mariculture - project overview 葡萄栽培和海水养殖中的异构自主机器人系统-项目概述

2021 16th International Conference on Telecommunications (ConTEL) Pub Date : 2021-06-30 DOI: 10.23919/ConTEL52528.2021.9495969

Jurica Goricanec, Nadir Kapetanović, Ivo Vatavuk, Ivan Hrabar, Goran Vasiljević, G. Gledec, Dario Stuhne, S. Bogdan, M. Orsag, T. Petrović, N. Mišković, Z. Kovačić, Antonia Kurtela, J. Bolotin, V. Kozul, N. Glavic, N. Antolovic, M. Anić, B. Kozina, Marko Cukon

引用次数: 9

Low-Cost Wireless Sensor Node for Smart Agriculture Applications 智能农业应用的低成本无线传感器节点

2021 16th International Conference on Telecommunications (ConTEL) Pub Date : 2021-06-30 DOI: 10.23919/ConTEL52528.2021.9495976

Matko Zrnic, Josip Spisic, Anita Pejković, K. Grgic, J. Balen, D. Zagar

引用次数: 2

On Machine Learning Based Video QoE Estimation Across Different Networks 基于机器学习的不同网络视频QoE估计

2021 16th International Conference on Telecommunications (ConTEL) Pub Date : 2021-06-30 DOI: 10.23919/ConTEL52528.2021.9495971

Irena Orsolic, Michael Seufert

{"title":"On Machine Learning Based Video QoE Estimation Across Different Networks","authors":"Irena Orsolic, Michael Seufert","doi":"10.23919/ConTEL52528.2021.9495971","DOIUrl":"https://doi.org/10.23919/ConTEL52528.2021.9495971","url":null,"abstract":"With Over-The-Top traffic being extensively encrypted end-to-end, network operators typically lack insight into the performance of these services, as perceived by the end users. Yet, such an insight is essential for employing QoE-aware network management and potential alleviation of problems that may originate in the network. There is a clear interest from network operators to find ways to estimate service performance in terms of Key Performance Indicators (KPIs) and Quality of Experience (QoE). Over the last years, machine-learning–based (ML) models have proven to be capable of inferring QoE/KPIs from patterns in encrypted network traffic. The particular focus has mostly been on adaptive video streaming services, considering their share of the global network traffic. Those ML–based models have typically been trained and tested on a single dataset collected under specific conditions only. Going beyond related work on the topic of QoE/KPI estimation, we collected two large datasets related to YouTube streaming using the same setup at two different locations in Europe and analyzed the extent to which the differences in network characteristics and location specifics influence the performance of such models. This is of interest, as applicability of the models across diverse networks would significantly reduce the needed extensiveness of data collection typically required for ML–based approaches. In this paper, we compare models trained and tested on a single dataset/location (network-specific), models trained on the merged dataset (general), and models trained on one dataset and tested on the other dataset (cross-tested). The results show that the performance of general models is comparable to that of network-specific models, but cross-tests exhibit a considerable reduction in performance. With the aim to understand and improve cross-network applicability of the models in the future, the paper also provides an investigation of underlying reasons for the performance degradation.","PeriodicalId":269755,"journal":{"name":"2021 16th International Conference on Telecommunications (ConTEL)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114994411","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}

引用次数: 5

Detection of attacks and intrusions on automotive engine IoT sensors 检测对汽车发动机物联网传感器的攻击和入侵

2021 16th International Conference on Telecommunications (ConTEL) Pub Date : 2021-06-30 DOI: 10.23919/ConTEL52528.2021.9495981

Denis Pejić, Visnja Krizanovic, K. Grgic

引用次数: 2

Design of Wave Digital Filters with the TU Delft Toolbox 用TU Delft工具箱设计波浪数字滤波器

2021 16th International Conference on Telecommunications (ConTEL) Pub Date : 2021-06-30 DOI: 10.23919/ConTEL52528.2021.9495968

Moritz Tockner, H. Brachtendorf, M. Steiger

{"title":"Design of Wave Digital Filters with the TU Delft Toolbox","authors":"Moritz Tockner, H. Brachtendorf, M. Steiger","doi":"10.23919/ConTEL52528.2021.9495968","DOIUrl":"https://doi.org/10.23919/ConTEL52528.2021.9495968","url":null,"abstract":"This paper presents a method for the design of lattice wave digital filters (LWDFs) with an approximately linear phase response. A recently developed algorithm for the design of approximately linear phase allpass filters was utilized in combination with the LWDF structure, to synthesize frequency selective filters with a high phase response flatness. An iterative optimization method to generate such an LWDF for a given set of frequency response constraints was implemented and integrated into an open source LWDF design toolbox to allow an outreach to a broader audience. Additionally, the generated floating point LWDF coefficients can be quantized as multiplier-free signed digits by solving a nonlinear optimization problem. The design toolbox finds the coefficient representation requiring the minimum number of additions and/or subtractions, while still satisfying a given set of frequency response constraints. The results show the effectiveness of the filter design method compared to standard designs such as Butterworth, Tschebyscheff or Cauer and they highlight the differences to another existing linear phase method of the toolbox. A significant improvement can be seen in a comparison between the signed digit quantization compared to simple coefficient rounding.","PeriodicalId":269755,"journal":{"name":"2021 16th International Conference on Telecommunications (ConTEL)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125502285","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}

引用次数: 0

Network Throughputs Modelling for Mobile Video Streaming Analysis 移动视频流分析的网络吞吐量建模

2021 16th International Conference on Telecommunications (ConTEL) Pub Date : 2021-06-30 DOI: 10.23919/ConTEL52528.2021.9495990

S. Rimac-Drlje, Jelena Vlaovic

{"title":"Network Throughputs Modelling for Mobile Video Streaming Analysis","authors":"S. Rimac-Drlje, Jelena Vlaovic","doi":"10.23919/ConTEL52528.2021.9495990","DOIUrl":"https://doi.org/10.23919/ConTEL52528.2021.9495990","url":null,"abstract":"Continuous increasing the share of video streaming in Internet traffic has raised interest in research aimed at improving bit rate selection algorithms for HTTP Adaptive Streaming (HAS). These algorithms use a different bitrate adaptation logic to ensure adaptation to the change of available network bandwidth. Measured throughput traces for different networks are usually used in the analysis of the performance of the algorithms. Although real networks are best presented by these measured traces, due to large differences in statistical properties of traces measured at different times of the day or year, as well as different routes of users in mobile networks, they are not fully suitable for systematic analysis of streaming algorithms. For this purpose, synthetic (computer-generated) traces can be more appropriate, provided that they mimic realistic traces well. In this paper, we present results of statistical modeling of throughput traces by using Nakagami distribution. Based on the parameters of Nakagami distribution estimated from the data measured in 3G and 4G networks, synthetic traces were generated. By applying the simulation framework for video streaming and using the Liu adaptation algorithm, parameters that affect the quality of the uploaded video have been compared for the cases of using synthetic and real traces. Comparison of achieved average quality levels, estimated bandwidths, video bitrates as well as number and depth of quality switches show that Nakagami distribution is a good choice for generating the synthetic traces. By changing the shape parameter m and the spread parameter of the probability density function of the Nakagami distribution, synthetic traces can be generated that correspond to a wide range of real traces.","PeriodicalId":269755,"journal":{"name":"2021 16th International Conference on Telecommunications (ConTEL)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128150445","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}

引用次数: 0