2022 IEEE International Symposium on Measurements & Networking (M&N)最新文献_第4页

Not all Web Pages are Born the Same Content Tailored Learning for Web QoE Inference 并不是所有的网页生来都是相同的内容定制学习Web QoE推理

2022 IEEE International Symposium on Measurements & Networking (M&N) Pub Date : 2022-07-18 DOI: 10.1109/MN55117.2022.9887781

P. Casas, Sarah Wassermann, Nikolas Wehner, Michael Seufert, T. Hossfeld

{"title":"Not all Web Pages are Born the Same Content Tailored Learning for Web QoE Inference","authors":"P. Casas, Sarah Wassermann, Nikolas Wehner, Michael Seufert, T. Hossfeld","doi":"10.1109/MN55117.2022.9887781","DOIUrl":"https://doi.org/10.1109/MN55117.2022.9887781","url":null,"abstract":"Web Quality of Experience (QoE) monitoring is a critical task for Internet Service Providers (ISPs), especially due to the key role played by customer experience in churn management. Previously, we have tackled the problem of Web QoE inference from the ISP perspective, relying on passive measurement of encrypted network traffic and machine learning models. In this paper, we exploit the broad heterogeneity of contents embedded in web pages to improve the state of the art performance in Web QoE inference, relying on web-content learning model tailoring. By analyzing the top-500 most popular web pages of the Internet through unsupervised learning, we discover different web page content classes which realize sig-nificantly different Web QoE inference performance. We train supervised learning inference models separately for each of these classes, using the well-known Speed Index (SI) metric as proxy to Web QoE. Empirical evaluations on a large corpus of Web QoE measurements for top popular websites demonstrate that our combined content-tailored approach improves the inference performance of the SI by almost 30 % with respect to previous single-model approaches, reducing the QoE inference error in terms of mean opinion scores by more than 40%.","PeriodicalId":148281,"journal":{"name":"2022 IEEE International Symposium on Measurements & Networking (M&N)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134437181","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: 4

The ICNIRP 2020 Guidelines and Standardization update of Serbian EMF radiation exposure limits 塞尔维亚EMF辐射暴露限值的ICNIRP 2020指南和标准化更新

2022 IEEE International Symposium on Measurements & Networking (M&N) Pub Date : 2022-07-18 DOI: 10.1109/MN55117.2022.9887676

N. Djuric, D. Kljajić, Teodora Gavrilov, Nadja Markovic Golubovic, S. Djuric

{"title":"The ICNIRP 2020 Guidelines and Standardization update of Serbian EMF radiation exposure limits","authors":"N. Djuric, D. Kljajić, Teodora Gavrilov, Nadja Markovic Golubovic, S. Djuric","doi":"10.1109/MN55117.2022.9887676","DOIUrl":"https://doi.org/10.1109/MN55117.2022.9887676","url":null,"abstract":"The man-made electromagnetic field (EMF) has been extensively used in last several decades, particularly since wireless telecommunication technology experienced substantial expansion. Simultaneously, the exposure to EMF has become an issue and inevitable part of intensive public debate on health ef-fects. Thus, the International Commission for Non-Ionizing Ra-diation Protection (ICNIRP) has published ICNIRP 2020 guide-lines, in order to ensure high-quality protection against all so far acknowledged health risks when population is/can be exposed to EMFs. Beside the latest updates of the exposure limits, which are based on improved scientific accuracy in most recent scien-tific studies, an important task of the ICNIRP 2020 is also a rec-ommendation to national decision-makers to update their EMF legislation. Such accomplishment is fundamental for their activ-ities on EMF investigation, since all activities should be lined up with up-to-date recommendations. In this paper, the standardi-zation update of the most important Serbian EMF legislation acts is considered, highlighting parts of prescribed EMF expo-sure limits that should be altered in the near future.","PeriodicalId":148281,"journal":{"name":"2022 IEEE International Symposium on Measurements & Networking (M&N)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128821101","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: 1

On the use of Machine Learning Approaches for the Early Classification in Network Intrusion Detection 机器学习方法在网络入侵检测早期分类中的应用

2022 IEEE International Symposium on Measurements & Networking (M&N) Pub Date : 2022-07-18 DOI: 10.1109/MN55117.2022.9887775

Idio Guarino, Giampaolo Bovenzi, Davide Di Monda, Giuseppe Aceto, D. Ciuonzo, A. Pescapé

引用次数: 6

Validation of a ROS-Based Synchronization System for Biomechanics Gait Labs 基于ros的生物力学步态同步系统的验证

2022 IEEE International Symposium on Measurements & Networking (M&N) Pub Date : 2022-07-18 DOI: 10.1109/MN55117.2022.9887745

Marco Ghidelli, S. Massardi, Luca Foletti, Alberto Cantón González, M. Lancini

{"title":"Validation of a ROS-Based Synchronization System for Biomechanics Gait Labs","authors":"Marco Ghidelli, S. Massardi, Luca Foletti, Alberto Cantón González, M. Lancini","doi":"10.1109/MN55117.2022.9887745","DOIUrl":"https://doi.org/10.1109/MN55117.2022.9887745","url":null,"abstract":"Experimental tests in biomechanics are often composed of several systems and devices, each of them providing information that needs to be acquired and processed. Data synchronization is a key factor for test results that need to be properly analyzed, limiting the influence of time delays between the acquired signals. Standard synchronization protocols are applied in different fields, from industry to telecommunications, but the hardware and software requirements for their implementation are normally difficult to be applied in biomechanics laboratories where instrumentation and protocols are likely to be changed over different experiments. Variability of sensors in the market, experimenter's skills, and test schedules hamper the application of robust standardized synchronization protocols, leading to increase post-processing efforts and the protocol steps for data acquisition. We propose a simple and cheap solution for synchronization that can be applied in experimental scenarios such as biomechanics laboratory based on a raspberry used as a trigger-box. This solution aims to easily synchronize data in a ROS-based network with any devices handling analogic trigger signals. The proposed solution is validated by evaluating time metrics in a system composed of several trigger boxes for a multi-sensor system simulation. The performed validation confirms the applicability of this solution for biomechanic tests with a wide margin of tolerance.","PeriodicalId":148281,"journal":{"name":"2022 IEEE International Symposium on Measurements & Networking (M&N)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132415532","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: 1

Computational and experimental characterization of EMF exposure at 3.5 GHz using electro-optical probes 利用电光探头计算和实验表征3.5 GHz的EMF暴露

2022 IEEE International Symposium on Measurements & Networking (M&N) Pub Date : 2022-07-18 DOI: 10.1109/MN55117.2022.9887777

A. Sârbu, D. Vatamanu, S. Miclaus, G. Mihai, M. Sorecau, E. Sorecau, P. Bechet

引用次数: 0

An Arduino-based plasmonic sensor to detect rain and its analysis 一种基于arduino的等离子体传感器，用于检测降雨及其分析

2022 IEEE International Symposium on Measurements & Networking (M&N) Pub Date : 2022-07-18 DOI: 10.1109/MN55117.2022.9887648

D. D. Prete, F. Arcadio, Chiara Griffo, Dalila Cicatiello, L. Zeni, N. Cennamo

引用次数: 0

Autoencoder for Network Anomaly Detection 网络异常检测的自动编码器

2022 IEEE International Symposium on Measurements & Networking (M&N) Pub Date : 2022-07-18 DOI: 10.1109/MN55117.2022.9887691

Won Park, Nicolas Ferland, Wenting Sun

{"title":"Autoencoder for Network Anomaly Detection","authors":"Won Park, Nicolas Ferland, Wenting Sun","doi":"10.1109/MN55117.2022.9887691","DOIUrl":"https://doi.org/10.1109/MN55117.2022.9887691","url":null,"abstract":"In modern network and telecommunication systems, hundreds of thousands of nodes are interconnected by telecommunication links to exchange information between nodes. The complexity of the system and the stringent requirements on service level agreement makes it necessary to monitor network performance intelligently and enable preventative measures to ensure network performance. Anomaly detection - the task of identifying events that deviate from the normal behavior - continues to be an important task. However, techniques traditionally employed by industry on real-world data - DBSCAN and MAD - have severe limitations, such as the need to manually tune and calibrate the algorithms frequently and limited capacity to capture past history in the model. Lately, there has been much progression in applying machine learning techniques, specifically autoencoders to the problem of AD. However, thus far, few of these techniques have been tested for use in scenarios involving multivariate timeseries data that would be faced by telecommunication companies. We propose a novel auto encoder based deep learning framework called ERICA including a new pipeline to address these shortcomings. Our approach has been demonstrated to achieve better performance (an increase in F-score by over 10%) and significantly enhance the scalability.","PeriodicalId":148281,"journal":{"name":"2022 IEEE International Symposium on Measurements & Networking (M&N)","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116075424","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: 1

Evaluating Low-cost Networked Energy Metering Systems: A University Campus Study 评估低成本网络能源计量系统:一项大学校园研究

2022 IEEE International Symposium on Measurements & Networking (M&N) Pub Date : 2022-07-18 DOI: 10.1109/MN55117.2022.9887728

Christopher Vaccaro, Jorge Valverde, Alberto Cruz, M. Torres, Jose Cordova-Garcia

引用次数: 0

Acoustic Monitoring of Environmental Noise Based on Sampling Approach 基于采样法的环境噪声声学监测

2022 IEEE International Symposium on Measurements & Networking (M&N) Pub Date : 2022-07-18 DOI: 10.1109/MN55117.2022.9887784

C. Liguori, V. Paciello, A. Ruggiero, D. Russo, P. Sommella, G. D. Leo

引用次数: 0

Reinforcement Learning applied to Network Synchronization Systems 强化学习在网络同步系统中的应用

2022 IEEE International Symposium on Measurements & Networking (M&N) Pub Date : 2022-07-18 DOI: 10.1109/MN55117.2022.9887533

Alessandro Destro, G. Giorgi

引用次数: 0