2018 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS)最新文献_第2页

Enabling technologies for distributed temperature monitoring of smart power cables 智能电力电缆分布式温度监测使能技术

2018 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS) Pub Date : 2018-06-01 DOI: 10.1109/EESMS.2018.8405818

G. Coletta, G. Persiano, A. Vaccaro, D. Villacci

{"title":"Enabling technologies for distributed temperature monitoring of smart power cables","authors":"G. Coletta, G. Persiano, A. Vaccaro, D. Villacci","doi":"10.1109/EESMS.2018.8405818","DOIUrl":"https://doi.org/10.1109/EESMS.2018.8405818","url":null,"abstract":"The increasing diffusion of renewable energy generators throughout the power transmission systems, and the difficulties in building new transmission assets are leading the power system components to work closest to their design limits, increasing the risk of congestion and reducing their operation reliability and safety. The need for fully exploiting the advantages of renewable energy sources, mitigating the effects of system congestions, is pushing power system operators to apply advanced loading policies based on Dynamic Thermal Rating, considering the actual boundary conditions for conductors heat exchange processes. The possibility to apply these techniques in power cables loading is a very strategic issue, since it could reduce the congestion among critical market zones. Although the application of these techniques in real operating scenario is still at its infancy, and limited to several prototype implementations, in the scientific literature a large range of techniques are proposed for dynamic line temperature monitoring. A very interesting methodology to afford this problem lies in fiber optic-based distributed temperature sensing methodologies, which can play a key role in cables thermal monitoring by providing reliable time-spatial temperature profiles, and being immune to any kind of electromagnetic disturb. Armed with such a vision in this paper detailed experimental results obtained by applying an advanced fiber optic-based sensor for temperature monitoring of a real power cable under different operation and laying conditions are presented and discussed.","PeriodicalId":315840,"journal":{"name":"2018 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS)","volume":"174 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":"122058034","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

Analysis of the collective perception using granular computing and virtual sensors 基于颗粒计算和虚拟传感器的集体感知分析

2018 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS) Pub Date : 2018-06-01 DOI: 10.1109/EESMS.2018.8405825

Giuseppe D’aniello, Massimo de Falco, Marco Sergio

{"title":"Analysis of the collective perception using granular computing and virtual sensors","authors":"Giuseppe D’aniello, Massimo de Falco, Marco Sergio","doi":"10.1109/EESMS.2018.8405825","DOIUrl":"https://doi.org/10.1109/EESMS.2018.8405825","url":null,"abstract":"The increasing complexity of cyber-physical systems demands for always more sophisticated approaches to the environmental and structural monitoring of both internal and external environments. In such circumstances, the data gathered by physical sensors alone could be not sufficient to satisfy the information needs. Indeed, the perception of people that lives and acts in such environments can be useful to improve these monitoring capabilities. This perception can be quantitatively measured by analyzing the huge amount of user-generated contents on Social Web. In this work, we define an approach for monitoring the collective perception and for using it as a quantitative measure useful for supporting decision making in complex environments. In this approach, each user of a community is modeled as a virtual sensor that generates a stream of data containing the updated opinions of the user. A multi-level granulation technique, based on the rough set theory, allows the analysts to properly aggregate and analyze the data produced by the virtual sensors from multiple views. The approach, which aims at improving the monitoring of internal and external environments, has been applied to a real case study related to the perception of the safety in the football stadium of the city of Salerno, Italy.","PeriodicalId":315840,"journal":{"name":"2018 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS)","volume":"254 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":"121278998","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

A low cost wireless sensor node for building monitoring 一种用于楼宇监控的低成本无线传感器节点

2018 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS) Pub Date : 2018-06-01 DOI: 10.1109/EESMS.2018.8405827

Simone Valenti, Massimo Conti, P. Pierleoni, Leonardo Zappelli, Alberto Belli, F. Gara, S. Carbonari, M. Regni

引用次数: 23

[Copyright notice] (版权)

2018 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS) Pub Date : 2018-06-01 DOI: 10.1109/eesms.2018.8405811

引用次数: 0

Independent component analysis as a monitoring tool in geophysical environment: The case of Campi Flegrei (Italy) 独立分量分析在地球物理环境监测中的应用——以意大利Campi Flegrei为例

2018 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS) Pub Date : 2018-06-01 DOI: 10.1109/EESMS.2018.8405817

E. De Lauro, S. Petrosino, M. Falanga

引用次数: 9

Road crack detection using a single stage detector based deep neural network 基于深度神经网络的单级路面裂纹检测

2018 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS) Pub Date : 2018-06-01 DOI: 10.1109/EESMS.2018.8405819

Thomas Arthur Carr, M. Jenkins, Maria Insa Iglesias, T. Buggy, G. Morison

{"title":"Road crack detection using a single stage detector based deep neural network","authors":"Thomas Arthur Carr, M. Jenkins, Maria Insa Iglesias, T. Buggy, G. Morison","doi":"10.1109/EESMS.2018.8405819","DOIUrl":"https://doi.org/10.1109/EESMS.2018.8405819","url":null,"abstract":"Condition and deterioration of public and private infrastructure is an issue that directly affects the majority of the world population. In this paper we propose the application of a Residual Neural Network to automatically detect road and pavement surface cracks. The high amount of variance in the texture of the surface and variation in illumination levels makes the task of automatically detecting defects within public and private infrastructure a difficult task. The system developed utilises a feature pyramid core with an underlying feed-forward ResNet architecture. The output from the feature pyramid then feeds into two sub-networks. One sub-network associates a class with the output from the feature pyramid. The other sub-network regresses the offset from each of the output bounding boxes of the feature pyramid to the corresponding ground truth boxes during training. The network was trained on real world data from an already established dataset. The data used to train and test on is very limited, due to the lack of available road crack datasets in the public domain. Despite the limited amount of data, the proposed method achieves a very positive results with minimal error.","PeriodicalId":315840,"journal":{"name":"2018 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS)","volume":"10 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":"115105894","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: 17

Intelligent monitoring Internet of Things based system for agri-food value chain traceability and transparency: A framework proposed 基于物联网的农业食品价值链可追溯性和透明度智能监控系统:提出框架

2018 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS) Pub Date : 2018-06-01 DOI: 10.1109/EESMS.2018.8405814

A. Corallo, Roberto Paiano, A. Guido, Andrea Pandurino, M. Latino, Marta Menegoli

引用次数: 13

Dynamic in situ tests for the calibration of an infilled R.C. Building F.E. model 填充钢筋混凝土建筑有限元模型标定的动态原位试验

2018 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS) Pub Date : 2018-06-01 DOI: 10.1109/EESMS.2018.8405828

V. Nicoletti, F. Gara, M. Regni, S. Carbonari, L. Dezi

{"title":"Dynamic in situ tests for the calibration of an infilled R.C. Building F.E. model","authors":"V. Nicoletti, F. Gara, M. Regni, S. Carbonari, L. Dezi","doi":"10.1109/EESMS.2018.8405828","DOIUrl":"https://doi.org/10.1109/EESMS.2018.8405828","url":null,"abstract":"Infill walls are commonly disregarded in the modelling of reinforced concrete (r.c.) frame structures and only their contribution in terms of mass is taken into account assuming that strength and stiffness do not affect the structural response. However, for strategic buildings, such as schools, hospitals, police and fire stations, it is crucial to preserve the infills from any damage, even for severe earthquake, in order to guarantee the building occupancy during the emergency management. Furthermore, these buildings are sometimes seismically protected with systems and devices (dampers, isolators, etc…) whose design requires the real dynamic behavior of the structure to be considered. To this purpose, it becomes crucial to accurately model the entire structure, including infill walls, and to validate this model on the basis of experimental evidences. In this paper a procedure to obtain accurate finite element (f.e.) models of infilled r.c. frame buildings is presented, referring to a real building case study. This procedure is based on the results of experimental and operational modal analysis of non-structural components and of the whole building, respectively. In particular, impact load tests with an instrumented hammer are performed on wall panels to identify the out-of-plane modal parameters (frequencies and mode shapes) and to estimate the mechanical properties of the masonry walls. Afterwards, the infill walls, with their estimated mechanical properties, are included in the f.e. structural model and the numerical global modal parameters are compared with the experimental ones achieved from in situ ambient vibration measurements and operational modal analyses of the global structure.","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":"121034246","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 agent based approach for improvised explosive device detection, public alertness and safety 基于代理人的简易爆炸装置探测、公众警戒和安全方法

2018 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS) Pub Date : 2018-06-01 DOI: 10.1109/eesms.2018.8405821

Kennedy E. Ehimwenma, P. Crowther, L. Alboul, M. Beer, K. Offor

{"title":"An agent based approach for improvised explosive device detection, public alertness and safety","authors":"Kennedy E. Ehimwenma, P. Crowther, L. Alboul, M. Beer, K. Offor","doi":"10.1109/eesms.2018.8405821","DOIUrl":"https://doi.org/10.1109/eesms.2018.8405821","url":null,"abstract":"One of the security challenges faced by our contemporary world is terror threats and attacks, and this is no doubt posing potential threats to lives, properties and businesses all around us; affecting the way we live and also travel. Terror attacks have been perpetrated in diverse ways whether from organized terror networks through coordinated attacks or by some lone individuals such that it is now a major concern to people and government. Indeed, there are numerous forms of terror attacks. In this proposal, we look at how the explosive substance kind of threats can be perceived and taken care of prior to potential attacks using intelligent agent systems requirement analysis. Thus, the paper demonstrates using an agent-oriented system analysis and design methodology to decompose the problem. Through defined percepts, goals and plans, agents possess capabilities to observe and perform actions. This proposal demonstrates: how agents can be situated in our cities, goal refinement for agents in the detection and rescue of potential terror attacks, and inter-agent communication for the prevention of chemical terror attack.","PeriodicalId":315840,"journal":{"name":"2018 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS)","volume":"7 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":"121557954","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