2019 IEEE International Symposium on Measurements & Networking (M&N)最新文献

Evaluation of Machine Learning Algorithms for Anomaly Detection in Industrial Networks 工业网络异常检测的机器学习算法评价

2019 IEEE International Symposium on Measurements & Networking (M&N) Pub Date : 2019-07-08 DOI: 10.1109/IWMN.2019.8805036

Giuseppe Bernieri, M. Conti, F. Turrin

引用次数: 21

Measurements of Wearable Noninvasive Transducers for Sport Performance Improvement 改善运动表现的可穿戴式无创传感器的测量

2019 IEEE International Symposium on Measurements & Networking (M&N) Pub Date : 2019-07-08 DOI: 10.1109/IWMN.2019.8805026

A. Gueli, M. Ferrante, C. Trigona, A. Failla, M. Fiore

{"title":"Measurements of Wearable Noninvasive Transducers for Sport Performance Improvement","authors":"A. Gueli, M. Ferrante, C. Trigona, A. Failla, M. Fiore","doi":"10.1109/IWMN.2019.8805026","DOIUrl":"https://doi.org/10.1109/IWMN.2019.8805026","url":null,"abstract":"This paper aims to study wearable noninvasive transducers for monitoring and improving sports performance. Inertial sensors are widely used to obtain physiological and performance data during sporting activity in order to optimize training and recovery but also to reduce human error in competition. In this context several solutions have been proposed in literature regarding neuromuscular stimulations, transcutaneous excitations, and functional signals, very often based on invasive approaches. The device here studied is a non-invasive solution composed of two portable systems (i.e. to be fixed in both the limbs), with an electromechanical actuator and a wireless circuit to synchronize the two systems. The analyses conducted arouse interest from a neurological point of view in the perspective to study the effect of various stimulations for muscle performance improvement in athletes. For these reasons, the paper deals with the aspects of the stimulation used for sport training evaluation including performance defects and functional purposes. The study regarded different parameters including frequency, pulse width, pulse duration, waveforms, intensity, amplitude and pulse pattern. The experimental method and the signals related to induced stimulations will be here presented. All the collected data have been crucial to submit a specific multidisciplinary study to the ethics committee that must approve the related clinical study.","PeriodicalId":272577,"journal":{"name":"2019 IEEE International Symposium on Measurements & Networking (M&N)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129159032","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

Some Notes on the Verification of the Exposure Limits in 5G Systems 关于验证5G系统暴露限值的一些注意事项

2019 IEEE International Symposium on Measurements & Networking (M&N) Pub Date : 2019-07-08 DOI: 10.1109/IWMN.2019.8805045

M. Migliore

引用次数: 4

Development of a Novel Measurement Technique for Emulating Real Life Environment within a Semi Reverberating Chamber 半混响室内模拟真实环境的新型测量技术的发展

2019 IEEE International Symposium on Measurements & Networking (M&N) Pub Date : 2019-07-08 DOI: 10.1109/IWMN.2019.8805030

A. Sorrentino, S. Cappa, G. Ferrara, M. Migliaccio

引用次数: 0

Passive Peak Voltage Sensor for Multiple Sending Coils Inductive Power Transmission System 用于多线圈感应输电系统的无源峰值电压传感器

2019 IEEE International Symposium on Measurements & Networking (M&N) Pub Date : 2019-07-08 DOI: 10.1109/IWMN.2019.8804989

Ghada Bouattour, Bilel Kallel, H. Derbel, O. Kanoun

引用次数: 8

Indoor Location Services through Multi-Source Learning-based Radio Fingerprinting Techniques 基于多源学习的无线指纹识别技术的室内定位服务

2019 IEEE International Symposium on Measurements & Networking (M&N) Pub Date : 2019-07-08 DOI: 10.1109/IWMN.2019.8805020

L. Sciullo, A. Trotta, M. D. Felice

{"title":"Indoor Location Services through Multi-Source Learning-based Radio Fingerprinting Techniques","authors":"L. Sciullo, A. Trotta, M. D. Felice","doi":"10.1109/IWMN.2019.8805020","DOIUrl":"https://doi.org/10.1109/IWMN.2019.8805020","url":null,"abstract":"Proximity advertising, smart parking and tourism are just examples of use-cases of location-based services that have become extremely popular in the last few years, also thanks to the pervasive diffusion of GNSS-enabled mobile devices. These devices, however, are not able guarantee adequate accuracy in indoor scenarios, that represent the actual frontier of next-generation location-based services. To this aim, we present in this paper Wireless Locator (WI-LO), a novel framework for the indoor localization of smartphone devices and the automation of location-based tasks. Through the WI-LO Web portal, users can import an indoor planimetry, set the Reference Points (RPs), and define the actions to execute at each RP or region or RPs. The WI-LO localization engine implements hybrid Radio Finger-Printing (RF) techniques, and it leverages on a variety of sensors embedded in Commercial Off The Shelf (COTS) smartphones (Wi-Fi, BLE, LTE, magnetometer). We investigate the utilization of Machine Learning (ML) techniques for the processing of the radio fingerprints of each source, and the application of fusion policies in order to aggregate the hard-decisions of each source. The evaluation analysis, conducted at the DISI@UNIBO department, confirms the ability of the WI-LO platform to deliver geo-fencing messages with over 90% accuracy, and it investigates the impact of different ML techniques, application parameters and scenario settings on the overall localization performance.","PeriodicalId":272577,"journal":{"name":"2019 IEEE International Symposium on Measurements & Networking (M&N)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121623734","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

An RGB-D based Framework for Ambient Assistive Living Applications 基于RGB-D的环境辅助生活应用框架

2019 IEEE International Symposium on Measurements & Networking (M&N) Pub Date : 2019-07-08 DOI: 10.1109/IWMN.2019.8805040

C. J. Debono, Matthew Sacco, J. Ellul

引用次数: 1

Assistive sensor-based technology driven self-management for building resilience among people with early stage cognitive impairment 基于辅助传感器的技术驱动自我管理，在早期认知障碍患者中建立复原力

2019 IEEE International Symposium on Measurements & Networking (M&N) Pub Date : 2019-07-08 DOI: 10.1109/IWMN.2019.8804998

S. Casaccia, R. Bevilacqua, L. Scalise, G. M. Revel, A. Astell, S. Spinsante, L. Rossi

{"title":"Assistive sensor-based technology driven self-management for building resilience among people with early stage cognitive impairment","authors":"S. Casaccia, R. Bevilacqua, L. Scalise, G. M. Revel, A. Astell, S. Spinsante, L. Rossi","doi":"10.1109/IWMN.2019.8804998","DOIUrl":"https://doi.org/10.1109/IWMN.2019.8804998","url":null,"abstract":"This paper reports the technologies and workplan of the AAL RESILIEN-T project. Focused on assistive technologies, RESILIEN-T aims to improve, through self-management, the autonomy, participation in social life, and skills, of older Persons with Cognitive Impairment (PwCI) who are too often considered as “objects” of research, rather than “partners”. The study investigates existing ICT solutions to improve the self-management ability of PwCl at different stages of cognitive impairment. Sensors, devices and apps to reduce the progression of the disease are analyzed. To increase sensor capability, innovative data management, i.e. Artificial Intelligence and Machine Learning algorithms, are considered to extract significant information from the data and optimize the sensor network. Moreover, approaches to involve end-users in the development are also investigated to enhance the final outputs. The study proposes a modular and integrated platform for PwCI to self-manage various activities including nutrition, physical activities, social life, cognitive training. The choice of offering an open API to integrate wearable devices and lifestyle monitoring systems from different suppliers makes available a customable and modular product. Considering that functional decline is part of the normal aging process, it might be challenging to individuate three levels of modular architecture to increase the accuracy of the monitoring with the decline of the cognitive capabilities.","PeriodicalId":272577,"journal":{"name":"2019 IEEE International Symposium on Measurements & Networking (M&N)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127208716","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: 8

Dynamic Autonomous Energy Consumption Measurement for a Wireless Sensor Node 无线传感器节点动态自主能耗测量

2019 IEEE International Symposium on Measurements & Networking (M&N) Pub Date : 2019-07-08 DOI: 10.1109/IWMN.2019.8805001

Sabrine Khriji, Ahmed Yahia Kallel, Sandeep Reedy, Dhouha El Houssaini, I. Kammoun, O. Kanoun

引用次数: 5

Water monitoring in smart cities exploiting plastic optical fibers and molecularly imprinted polymers. The case of PFBS detection 利用塑料光纤和分子印迹聚合物的智慧城市水监测。PFBS检测的情况

2019 IEEE International Symposium on Measurements & Networking (M&N) Pub Date : 2019-07-08 DOI: 10.1109/IWMN.2019.8805049

N. Cennamo, F. Arcadio, Chiara Perri, L. Zeni, F. Sequeira, L. Bilro, R. Nogueira, G. D’Agostino, Gianni Porto, Adriano Biasiolo

引用次数: 10