{"title":"Adaptive cluster heads selection for fan-shaped clusters in WSNs","authors":"Dan Liu, Y. Sun, Changchuan Yin","doi":"10.1109/EESMS.2018.8405831","DOIUrl":"https://doi.org/10.1109/EESMS.2018.8405831","url":null,"abstract":"Cluster-based routing schemes have attracted a great deal of interests due to the high data forwarding efficiency in large scale sensor networks. In this paper, we propose a fan shaped cluster scheme with an adaptive cluster heads (CHs) selection mechanism for large scale wireless sensor networks (WSNs). In order to coordinate and balance the energy distribution of the network, therefore to prolong the network lifetime, the adaptive CHs selection is adopted among the candidate CHs, which is evaluated and defined in the cluster construction stage. Verified on Opnet simulation platform, the new scheme outperforms the compared schemes in terms of prolonging the network lifetime and data collection efficiency.","PeriodicalId":315840,"journal":{"name":"2018 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS)","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126311140","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":"Effects of environmental conditions on the dynamic properties of a 10-storey r.c. square tower","authors":"D. Arezzo, M. Regni, S. Carbonari, F. Gara","doi":"10.1109/EESMS.2018.8405829","DOIUrl":"https://doi.org/10.1109/EESMS.2018.8405829","url":null,"abstract":"Vibration-based Structural Health Monitoring (SHM) is based on the postulate that structural damage can be detected from vibration measurements, which constitute simple tests for the identification of dynamic building parameters. In this work, an automated procedure based on the Operational Modal Analysis (OMA) has been developed to ensure the continuous monitoring and the extraction of the modal parameters of the Tower of the Engineering Faculty of the Università Politecnica delle Marche. Moreover, a correlation between modal properties of the building and environmental conditions has been observed during the monitoring period.","PeriodicalId":315840,"journal":{"name":"2018 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131999296","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":"On the depth of a thermomechanical signal in a dual-phase lag deformable medium","authors":"V. Zampoli, S. Chiriţă","doi":"10.1109/EESMS.2018.8405816","DOIUrl":"https://doi.org/10.1109/EESMS.2018.8405816","url":null,"abstract":"In view of the continuous need for sensors miniaturization, also with reference to contexts such as the Internet of things or the monitoring of critical situations and to the related sensoristics, we believe that a deep understanding of the phenomena that concretely drive the heat exchange mechanisms in devices of characteristic dimensions of the order of the micro/nanometer can be objectively useful, especially if referred to an optimal design process of the most recent instrumentation used in monitoring systems. This contribution aims to provide, through the use of an appropriate mathematical model, a thorough analysis of the problem concerning the penetration depth of a thermomechanical signal in deformable, anisotropic and inhomogeneous thermal conductors. Imagining to refer to a micro/nanoscale framework, it is evident that the classical models theorized to describe the heat transfer are no longer applicable, while the high-order effects linked to the thermal lagging phenomena and closely related to the number of heat carriers involved become increasingly important; moreover it is reasonable to assume, dealing with such scales, that the deformations caused by the temperature variations are small enough to be modeled under the hypotheses typical of the linear thermoelasticity. With these assumptions, and although our results remain valid even for more general shapes, we consider here just for convenience a cylindrical domain filled by a thermoelastic material, and assume that its lower base is subjected to appropriate thermomechanical actions defined externally, investigating through a suitable initial-boundary value problem the spatial behavior of the transient solutions in terms of existence of an influence domain of the assigned data. The analysis is concluded taking into account, by way of example, single-layer graphene and showing some graphic comparisons related to different expansion orders, through which the influence on the signal's depth of the related high-order effects is evident.","PeriodicalId":315840,"journal":{"name":"2018 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS)","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127580301","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 methodology for a complete simulation of Cyber-Physical Energy Systems","authors":"Youssef Driouich, Mimmo Parente, E. Tronci","doi":"10.1109/EESMS.2018.8405826","DOIUrl":"https://doi.org/10.1109/EESMS.2018.8405826","url":null,"abstract":"The number of computation cycles used for simulation-based Verification of Cyber Physical Energy Systems is outpacing the available throughput of simulation resources. In this paper, a methodology for the verification of the CPES at hand with the aim of full coverage of the system's states is proposed. This approach relies on representing the unpredictable behaviour of the environment in order to cover all feasible possible scenarios. Processed by JModelica, the simulation results are covering the system's complete dynamic behaviour. Simulation by complete state space covering guarantees the verification results to be sound for every possible state of the system under verification. The application to Photovoltaic circuits, specifically the Distributed Maximum Power Point Tracking, shows the feasibility of the approach.","PeriodicalId":315840,"journal":{"name":"2018 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124146516","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}
V. Di Lecce, Cataldo Guaraganella, D. Palagachev, Giuseppe Dentamaro, Alessandro Quarto, D. Soldo
{"title":"IoT based cooperative agents architecture: Lightweight applications for smart cities","authors":"V. Di Lecce, Cataldo Guaraganella, D. Palagachev, Giuseppe Dentamaro, Alessandro Quarto, D. Soldo","doi":"10.1109/EESMS.2018.8405815","DOIUrl":"https://doi.org/10.1109/EESMS.2018.8405815","url":null,"abstract":"After briefly discussing the Internet of Things and Cyber physical device main features, their application in a specific architecture for a simple distributed intelligent system was presented. The system works as a Multi agent system and it is based on Arduino Uno boards, each one hosting an intelligent agent. The system was developed as test equipment for an active intelligent water meter for a SMART CITY project. The proposed system can be generalized and usable also with very simple (and therefore economical) computational units and allows to delocalize in similar units the computational load exceeding the single node capability; a specific data protocol, based on I2C, is used to share the knowledge between agents.","PeriodicalId":315840,"journal":{"name":"2018 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS)","volume":"481 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122602483","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 multi-perspective aerial monitoring system for scenario detection","authors":"Danilo Cavaliere, S. Senatore, V. Loia","doi":"10.1109/EESMS.2018.8405820","DOIUrl":"https://doi.org/10.1109/EESMS.2018.8405820","url":null,"abstract":"Detecting alerting or dangerous situations by a Unmanned Aerial Vehicle (UAV) can be a very tricky activity, especially when videos present articulated and dynamic daily life scenarios, with several humans and not human actors triggering lots of events. Furthermore, scenarios are set in different environments and sometimes the scene interpretation be strictly affected by the environment where the scene evolves. To address this issue, this paper presents a novel model to detect real dynamic scenarios occurring in UAV videos, by combining cognitive science methodologies with semantic technologies to build a multi-perspective mental landscape of the scenario. The semantic, ontology-based description of the scenario provides the spatio/temporal context of the current scene, and supports the objects detection and their main interactions. The spatio/temporal context allows the automatic generation of a multi-perspective Fuzzy Cognitive Map (FCM), which is built by merging several FCMs on single scenario objects, their interactions and general aspects of the scenario. The FCM provides evaluations of possible scenario evolutions. A case study and preliminary test results show the applicability of the proposed model to alerting scenario detection.","PeriodicalId":315840,"journal":{"name":"2018 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126601715","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":"Sensor data collection and analytics with thingsboard and spark streaming","authors":"L. D. De Paolis, Valerio De Luca, Roberto Paiano","doi":"10.1109/EESMS.2018.8405822","DOIUrl":"https://doi.org/10.1109/EESMS.2018.8405822","url":null,"abstract":"The diffusion of small low cost sensors has opened new opportunities for the design of real-time monitoring systems in several application fields. Internet of Things (IoT) is a new branch of Information Technology that connects several of these heterogeneous devices through different network protocols to provide large scale interoperability. In this paper we describe how some open source software tools can be integrated to collect, monitor and process streams of data received in real-time by sensor devices. The tools we have employed are the Things-Board platform to collect sensor data and the Spark Streaming framework for cluster computing to perform data analytics. The presented architecture can be exploited in various monitoring scenarios (such as clinical, environmental or energetic processes) to study the trend of some key parameters and also to produce alerts in case of problematic situations. Without loss of generality, we focus on biomedical data about the breath of patients affected by chronic respiratory disease: real-time monitoring of breath parameters enables automatic ventilotherapy and allows also to warn doctors in time in severe cases.","PeriodicalId":315840,"journal":{"name":"2018 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124805792","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}
Anna Castellano, A. Fraddosio, Federica Martorano, Gemma Mininno, F. Paparella, M. Piccioni
{"title":"Structural health monitoring of a historic masonry bell tower by radar interferometric measurements","authors":"Anna Castellano, A. Fraddosio, Federica Martorano, Gemma Mininno, F. Paparella, M. Piccioni","doi":"10.1109/EESMS.2018.8405824","DOIUrl":"https://doi.org/10.1109/EESMS.2018.8405824","url":null,"abstract":"We present an innovative application of a non-destructive approach for the mechanical characterization of historical masonry structures, based on the analysis of their dynamic response. The proposed approach exploits the extraction of modal parameters to define mechanical features of the structure such as mass, damping and stiffness matrices by means of Operational Modal Analysis, starting from measurements performed by a very promising, expeditious and contactless experimental technique based on radar interferometry. This approach may be very effective for structural health monitoring purposes. In particular, we apply this technique to a historical masonry bell tower with the aim of detecting and consequently solving some of the experimental challenges arisen in some previous experimental campaigns.","PeriodicalId":315840,"journal":{"name":"2018 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124918188","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":"Land cover and crop classification using multitemporal sentinel-2 images based on crops phenological cycle","authors":"Aleem Khaliq, L. Peroni, M. Chiaberge","doi":"10.1109/EESMS.2018.8405830","DOIUrl":"https://doi.org/10.1109/EESMS.2018.8405830","url":null,"abstract":"Italy is considered one of the developed country in the field of agriculture in Europe. For many reasons, reliable classification of crops and mapping plays an important role in Precision Agriculture (PA). Increasing availability, improving spatial resolution and high revisit time of sentinel-2 satellite become more useful and play an important role in analyses for land cover, crop classification and other remote sensing applications. Most of the Crops with similar spectral characteristics can be distinguished by accumulating spectral information of different phenological stages. In literature, many solutions have been proposed to classify crops using multitemporal images acquired from various satellites equipped with multispectral imagery sensors. However, features and images selection from multispectral, multitemporal images still needs improvement. In this paper, crops phenological cycles are investigated using temporal normalized difference vegetation index (NDVI) patterns and major crop phenological information are used to select best multitemporal images for the input of random forest (RF) classifier to classify land cover and crops.","PeriodicalId":315840,"journal":{"name":"2018 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122460231","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":"Improving sensing action via multi-agent based system with statistical and granular approach","authors":"Sergio Mazzola, M. Minoia","doi":"10.1109/EESMS.2018.8405823","DOIUrl":"https://doi.org/10.1109/EESMS.2018.8405823","url":null,"abstract":"With the aim to improve productivity, quality and complexity of physical processes a new class of systems called Cyber-Physical Systems (CPS) has been developed. Basically, they are made up of three principal components: a sensing part, some Decision Support Services (DSS) and an actuating part. In this work we propose a solution for a Distributed Measurement System (DMS) to be used as the sensing component of a CPS to achieve high levels of scalability, flexibility and reliability. Multi-Agent (MAS) paradigm, which resulted to be a natural approach to address the requirements of the problem, has been adopted for the DMS, in addition to statistical techniques to extract an higher level of information from the acquired data, instead of punctual values. Moreover, the concept of granularity has been applied to sensors in order to improve the robustness and the performance of the procedure. As an application of the system, we employed many Arduino® Uno micro-controller units, each one equipped with a circuit board holding I2C bus interface and a temperature sensor, to compute an indoor temperature ground truth, useful for industrial or domestic temperature monitoring.","PeriodicalId":315840,"journal":{"name":"2018 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS)","volume":"114 864 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126911729","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}