{"title":"Enhancing network resilience via self-healing","authors":"F. Morone, Like Ma, H. Makse, Antonio Scala","doi":"10.1109/EESMS.2016.7504816","DOIUrl":"https://doi.org/10.1109/EESMS.2016.7504816","url":null,"abstract":"A crucial feature in implementing the next generation of smart grids is how to introduce self-healing capabilities allowing to ensure a high quality of service to the users. We show how distributed communication protocols can enrich complex networks with self-healing capabilities; an obvious field of applications are infrastructural networks. In particular, we consider the case where the presence of redundant links allows to recover the connectivity of the system. We then introduce a theoretical framework to calculate the fraction of nodes still served for increasing levels of network damages. Such framework allows to analyse the interplay between redundancies and topology, a key point in improving the resilience of networked infrastructures to multiple failures.","PeriodicalId":262720,"journal":{"name":"2016 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133458798","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}
A. Estebsari, E. Pons, E. Bompard, A. Bahmanyar, S. Jamali
{"title":"An improved fault location method for distribution networks exploiting emerging LV smart meters","authors":"A. Estebsari, E. Pons, E. Bompard, A. Bahmanyar, S. Jamali","doi":"10.1109/EESMS.2016.7504815","DOIUrl":"https://doi.org/10.1109/EESMS.2016.7504815","url":null,"abstract":"In the last years, the electrical distribution systems are undergoing one of their largest transitions in their long history towards smart grids. One of the key requirements and the first step in the path of smart grid is developing and deploying smart metering systems in distribution networks. In this regard, several projects co-funded by the European Commission (EC) have been carried out. FLEXMETER is one of the ongoing EU Horizon 2020 projects aiming at the development and demonstration of a flexible smart metering architecture. In this paper, first the different available measurements in the FLEXMETER project are introduced. Then different fault location methods are compared qualitatively and quantitatively to find the most appropriate one based on the FLEXMETER infrastructure. Finally a combined method as a hybrid solution is proposed to overcome the drawbacks of the previously proposed ones, while keeping their advantages.","PeriodicalId":262720,"journal":{"name":"2016 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122017512","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}
G. Abbatantuono, S. Bruno, Dario De Santis, M. La Scala, Augusto Naschetti, R. Sbrizzai
{"title":"Smart charging of electric vehicles for low voltage grids optimization","authors":"G. Abbatantuono, S. Bruno, Dario De Santis, M. La Scala, Augusto Naschetti, R. Sbrizzai","doi":"10.1109/EESMS.2016.7504818","DOIUrl":"https://doi.org/10.1109/EESMS.2016.7504818","url":null,"abstract":"In this paper, an innovative methodology to monitor and optimize the behavior of low voltage electric distribution systems through optimized electric vehicles charging operations is presented. This work is aimed at promoting short-term improvements, showing that charging times of electric vehicles, that in many cases represent one of the major obstacles to the full spreading of electric mobility, can be well managed without drastic interventions on distribution networks. The proposed approach is based on the formulation of a Three-Phase Optimal Power Flow (TOPF) problem.","PeriodicalId":262720,"journal":{"name":"2016 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129320444","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":"A digital analysis of the experimental accelerometers data used for buildings dynamical identification","authors":"N. Giannoccaro, L. Spedicato, D. Foti","doi":"10.1109/EESMS.2016.7504829","DOIUrl":"https://doi.org/10.1109/EESMS.2016.7504829","url":null,"abstract":"This paper presents the research concerning the analysis of accelerometer data and the post-processing in order to monitor artistic and historical buildings. In particular, the case of interest was to consider the data acquired from a set of accelerometers suitably placed on the walls of a building, the “San Giacomo” structure, that is in renaissance style, built in 1663 and situated at the Old Town of Corfu in Greece. In this paper, a digital signal processing technique is presented and a database of signals acquired by means of accelerometers is suitably examined for the purpose of dynamical identification.","PeriodicalId":262720,"journal":{"name":"2016 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126904634","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}
M. Gallo, F. Simonelli, G. De Luca, Christian Della Porta
{"title":"An artificial neural network approach for spatially extending road traffic monitoring measures","authors":"M. Gallo, F. Simonelli, G. De Luca, Christian Della Porta","doi":"10.1109/EESMS.2016.7504841","DOIUrl":"https://doi.org/10.1109/EESMS.2016.7504841","url":null,"abstract":"This paper focuses on road traffic monitoring and proposes a method based on artificial neural networks for extending data collected on some road links to others. The method may be used to reduce the costs of monitoring equipment since it can estimate the data to be monitored on road segments where there is no equipment installed. The approach is tested on a small network, assuming different neural network frameworks. The numerical results show that the approach is promising, being able in most cases to estimate traffic flows with acceptable errors.","PeriodicalId":262720,"journal":{"name":"2016 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS)","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121979515","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}
N. Samotaev, A. Simakov, E. Onishchenko, B. Gurkovskiy, V. Butuzov, Y. Bocharov, I. Vodokhlebov, B. Zhuravlev, E. Murtazina
{"title":"Method and instruments for research of weak microwave field influence on human performance and psychophysiological parameters","authors":"N. Samotaev, A. Simakov, E. Onishchenko, B. Gurkovskiy, V. Butuzov, Y. Bocharov, I. Vodokhlebov, B. Zhuravlev, E. Murtazina","doi":"10.1109/EESMS.2016.7504812","DOIUrl":"https://doi.org/10.1109/EESMS.2016.7504812","url":null,"abstract":"There are a lot of new experimental data confirming an essential effect of weak microwave field on human psychophysiological state. This influence may have negative consequences for human-operator fulfilling critical mission. The paper covers a new instrumental method for research of the individual human sensitivity to weak microwave exposure. The volunteers were irradiated by the remotely controlled low-intensity electromagnetic fields source under GSM safety specs. Throughout the investigations, volunteers were performing the psychological tests and their heart rate parameters were registered. The paper presents the architecture of the designed hardware-software system and main modules implementation. It also discusses the results of psychophysiological and human's cardiac reactions to microwave fields. The proposed research method and obtained data may be used for operator's state monitoring in Environmental and Structural Monitoring Systems.","PeriodicalId":262720,"journal":{"name":"2016 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125035175","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}
A. Di Bernardino, F. De Serio, M. Mossa, A. Pini, G. Leuzzi, P. Monti
{"title":"Micrometeorological simulations over a coastal area using CALMET model: Atmosphere monitoring","authors":"A. Di Bernardino, F. De Serio, M. Mossa, A. Pini, G. Leuzzi, P. Monti","doi":"10.1109/EESMS.2016.7504836","DOIUrl":"https://doi.org/10.1109/EESMS.2016.7504836","url":null,"abstract":"This paper describes numerical experiments conducted by using the meteorological model CALMET. The aim is to assess how the computational time of the model runs depends on user-defined parameters involved in the iterative procedure used by CALMET to solve the meteorological field. The influence of the weather conditions on the simulation time has been also evaluated.","PeriodicalId":262720,"journal":{"name":"2016 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130601955","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":"Monitoring of indoor environments by change detection in point clouds","authors":"R. Marani, M. Nitti, E. Stella, T. D’orazio","doi":"10.1109/EESMS.2016.7504821","DOIUrl":"https://doi.org/10.1109/EESMS.2016.7504821","url":null,"abstract":"This paper describes a complete method for monitoring indoor environments. Three-dimensional (3D) point clouds are first acquired from the environment under investigation by means of a laser range scanner in order to obtain several 3D models to be compared. Input datasets are thus registered each other exploiting a reliable variant of the iterative closest point algorithm (ICP) assisted by the use of deletion masks. These terms work in cooperation with the resampling of the model surfaces to reduce significantly the errors in the estimation of the registration parameters. Once datasets are registered, deformation maps are displayed to help the user to detect changes within the environment. Deletion masks are again used to filter measurement artifacts from the comparison, thus highlighting only the actual alterations of the environment. Several experiments are performed for the analysis of an indoor environment, proving the capability of the proposed method to reliably estimate the presence of alterations.","PeriodicalId":262720,"journal":{"name":"2016 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121340313","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}
Maria Chiara Capatti, S. Carbonari, F. Gara, D. Roia, F. Dezi
{"title":"Experimental study on instrumented micropiles","authors":"Maria Chiara Capatti, S. Carbonari, F. Gara, D. Roia, F. Dezi","doi":"10.1109/EESMS.2016.7504831","DOIUrl":"https://doi.org/10.1109/EESMS.2016.7504831","url":null,"abstract":"In the present work, first steps of an extensive experimental study carried out on two vertical micropiles in alluvial silty soil are presented. One of the vertical micropiles is injected throughout valves a-manchèttes placed along the steel core of the shaft, while the other one is grouted with a unique global injection. Both of them are instrumented with several strain gauges along the shaft and an accelerometer at the head. The protection technique adopted to prevent damages on the strain gauges during micropile installation and high-pressure injections is also discussed. The main objectives of this experimental campaign are the monitoring of the modifications in the dynamic characteristics of the complex soil-micropile system due to execution techniques and construction stages, and the investigation of the dynamic response considering different kind of cyclic and dynamic loading. In particular, the effect of the high-pressure injections on the dynamic response of vertical micropiles is here investigated, by means of series of ambient vibrations and lateral impact loading tests. Experimental data of impact load tests are finally compared with results obtained from an analytical model.","PeriodicalId":262720,"journal":{"name":"2016 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS)","volume":"14 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124743122","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}
Andrea Verdecchia, D. Brunelli, F. Tinti, A. Barbaresi, P. Tassinari, L. Benini
{"title":"Low-cost micro-thermal response test system for characterizing very shallow geothermal energy","authors":"Andrea Verdecchia, D. Brunelli, F. Tinti, A. Barbaresi, P. Tassinari, L. Benini","doi":"10.1109/EESMS.2016.7504817","DOIUrl":"https://doi.org/10.1109/EESMS.2016.7504817","url":null,"abstract":"Shallow Geothermal Systems (SGS) are widely used to provide low-cost heating and cooling of residential and commercial buildings. SGS can be an economically-viable solution even for commercial buildings, where controlled temperature is fundamental for the production processes. To assess the thermal resistance of the soil and the performance of a SGS, Thermal Response Tests (TRT) must be performed. TRT machines are today designed mainly for short term monitoring, for relatively deep SGS (up to 200 m) and for being used by expert operators. Lightweight, low-cost machines for both fast and long term, reliable and unattended TRT for very Shallow Geothermal Systems (vSGS) are not available today. This paper describes the design of a micro-TRT machine (mTRT) for vSGS, which is gaining interest in the civil engineering, environmental, energy and food chain sectors. The paper describes the features of the wireless monitoring system, the design choices to achieve the required accuracy and the software developed for adding remote control capability. Experimental validation in a real test field demonstrates the quality of measurements collected for analysing the TRT data.","PeriodicalId":262720,"journal":{"name":"2016 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123043390","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}