{"title":"On-line smart grids optimization by case-based reasoning on big data","authors":"L. Troiano, A. Vaccaro, M. Vitelli","doi":"10.1109/EESMS.2016.7504842","DOIUrl":"https://doi.org/10.1109/EESMS.2016.7504842","url":null,"abstract":"On-line solution of constrained optimization problems is an essential requirement for a secure, reliable and economic smart grids operation. In this context, the stream of data acquired by the grid sensors should be promptly analyzed in order to identify proper control actions aimed at mitigating the effect of system perturbations, or adapting the grid state to new load and/or generation patterns. To solve this computationally intensive task, case-based reasoning could play a key role in extracting actionable knowledge from historical datasets. Due to time constraints, the search of similar patterns, although simple in principle, requires to face the large size of the historical smart grid data, which increase dynamically once new measured information is available. However, recent advances in Big Data offer efficient schemes for processing massive data. As an example, in this paper we present a solution aimed at searching k most similar cases based on the MapReduce paradigm. This paradigm allows to distribute data and jobs over a compute cluster of commodity hardware. Experimental results are intended to describe the solution behavior under different conditions, such as the dataset size, the number of available nodes/jobs, the block size.","PeriodicalId":262720,"journal":{"name":"2016 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133660080","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}
Sally Bebawi, Hussein H. Zomor, Mahmoud Y. El-Shafie, F. Gunzer
{"title":"Optimization of the ion cloud shape resulting from the direct coupling of an atmospheric ion mobility spectrometer to a mass spectrometer","authors":"Sally Bebawi, Hussein H. Zomor, Mahmoud Y. El-Shafie, F. Gunzer","doi":"10.1109/EESMS.2016.7504826","DOIUrl":"https://doi.org/10.1109/EESMS.2016.7504826","url":null,"abstract":"Ion Mobility Spectrometers are important devices whenever gases need to be analyzed, e.g. in environmental monitoring, to ensure workplace safety, but also in military applications. Their advantages are a small device footprint, robustness, and ease of use combined with very high sensitivity (in the ppb range) and speed of response (in the range of ms). The main disadvantage, however, is a quite limited selectivity, i.e. a lot of substances lead to the same response signal obtained from these devices. A typical approach to improve on that side is to combine an ion mobility spectrometer with a mass spectrometer, since then not only the mobility is known, but also the mass of the substance and thus two parameters. The main problem is that mass spectrometers need to operate in vacuum, while ion mobility spectrometers work in ambient pressure; the challenge is thus to transport the analytes through a set up where the pressure is lowered by several orders of magnitude. In this paper we analyzed and optimized with help of finite elements method simulations the influence of this coupling in form of a 100 μm wide tunnel on the ion cloud in the ion mobility spectrometer and thus the change of the signal response.","PeriodicalId":262720,"journal":{"name":"2016 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126195134","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}
Dario De Santis, Domenico Aldo Giampetruzzi, G. Abbatantuono, M. La Scala
{"title":"Smart metering for low voltage electrical distribution system using Arduino Due","authors":"Dario De Santis, Domenico Aldo Giampetruzzi, G. Abbatantuono, M. La Scala","doi":"10.1109/EESMS.2016.7504847","DOIUrl":"https://doi.org/10.1109/EESMS.2016.7504847","url":null,"abstract":"In recent years, low voltage electrical grids are experiencing the growing implementation of distributed generation systems such as solar and wind generators, EV charging systems and storage devices. For this reason the use of a smart management system for every active component becomes necessary to acquire and provide real time measurements of main parameters of power grids and execute automatic actions. In this work, the design and implementation of a cheap, flexible and reliable smart monitoring system is proposed.","PeriodicalId":262720,"journal":{"name":"2016 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS)","volume":"213 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":"131800372","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":"Energy harvesting algorithms for wireless multi-sensor gas platform","authors":"D. Spirjakin, A. Baranov, S. Akbari","doi":"10.1109/EESMS.2016.7504819","DOIUrl":"https://doi.org/10.1109/EESMS.2016.7504819","url":null,"abstract":"Air quality control is a monitoring task of high priority in the scope of Smart City and Smart Home applications. In fact, a number of sensors are required to successfully detect the leaks of various gases and their different concentrations. Using wireless sensor platform for these purpose it's necessary to think a lot about appropriate power sources and power management. In this work, we present autonomous multi-sensor wireless platform power supply algorithms. The platform uses alternative power sources (solar panel and wind generator) as main power supply and lithium battery as reserve one. These power supply components are managed to maintain the most efficient using of power sources during whole working cycle.","PeriodicalId":262720,"journal":{"name":"2016 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS)","volume":"88 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":"132098076","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":"Bi-level programming for the strategic energy management of a smart city","authors":"Raffaele Carli, M. Dotoli, G. Andria, A. Lanzolla","doi":"10.1109/EESMS.2016.7504820","DOIUrl":"https://doi.org/10.1109/EESMS.2016.7504820","url":null,"abstract":"This paper addresses the emerging need for tools devoted to the strategic energy management of smart cities. We propose a novel decision model that supports the energy manager in governing the smart city while addressing different urban sectors with an integrated and structured energy retrofit planning. A bi-level programming model integrates several decision making units (decision panels), each focusing on the energy optimization of a specific urban subsystem, and a central decision unit. We solve the bi-level decision problem by a game theoretic distributed approach. We apply the developed decision model to the case study of the city of Bari (Italy), where a smart city program has recently been launched.","PeriodicalId":262720,"journal":{"name":"2016 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS)","volume":"16 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":"127870765","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}
Jetendra Joshi, Amrit Bagga, A. Reddy, D. Akhil, Harsha Munnangi, B. Nikhil, Joshita Reddy
{"title":"Structural health monitoring of Earth Air Tunnel (EAT) using wireless sensor network","authors":"Jetendra Joshi, Amrit Bagga, A. Reddy, D. Akhil, Harsha Munnangi, B. Nikhil, Joshita Reddy","doi":"10.1109/EESMS.2016.7504813","DOIUrl":"https://doi.org/10.1109/EESMS.2016.7504813","url":null,"abstract":"Technological advancements has always bestowed a nation with great innovations and solutions to the unnoticed issues. A country is always known for its rich art, culture, heritage and monuments, but as the world progresses to a new era of technology, these monuments are constantly turned a blind eye upon. As the concept of Smart cities have began to be implemented, the ancient monuments needs to be preserved. This paper deals with remotely monitoring these monuments as a part of daily checking and supervision with adequate measures to clean and preserve it. This is possible with the help of Wireless Underground Sensor Networks (WUSNs) which mainly focuses on the transmission of data using sensor node at the subsurface region of the soil without having the capability to perform wireless communication. Since these monuments and structures are very ancient so to preserve them, the sensors are buried underground or placed at underground levels like Tunnels, Chambers or Earth Air Tunnels that helps us to monitor the cracks, holes and the health of these structures. The technology that we have used in this paper uses an energy efficient way to provide robust infrastructure for realistic application and to monitor them. In this paper, we have created a test bed scenario at Neemrana (Rajasthan, India) which had an Earth Air Tunnel i.e. EAT whose health monitoring has been checked. A structurally simulated result has been shown in the given domain.","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":"114977364","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}
S. Fanchenko, A. Baranov, A. Savkin, V. Sleptsov, A. Petukhov, Karina Kalinina, Bizhigit Zhurtanov, Mikhail Velikotny
{"title":"Multicomponent hydrocarbons monitoring by infrared LED arrays","authors":"S. Fanchenko, A. Baranov, A. Savkin, V. Sleptsov, A. Petukhov, Karina Kalinina, Bizhigit Zhurtanov, Mikhail Velikotny","doi":"10.1109/EESMS.2016.7504825","DOIUrl":"https://doi.org/10.1109/EESMS.2016.7504825","url":null,"abstract":"The use of new infrared LED arrays for NDIR multicomponent gas analysis is considered. Model spectra for bi component gas mixtures are simulated and the concentration reconstruction method is discussed.","PeriodicalId":262720,"journal":{"name":"2016 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS)","volume":"372 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":"116324568","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}
K. Tijani, A. Morea, M. Chiaradia, R. Nutricato, L. Guerriero
{"title":"Prototype of a multi-platform remote sensing service for fishing forecasting","authors":"K. Tijani, A. Morea, M. Chiaradia, R. Nutricato, L. Guerriero","doi":"10.1109/EESMS.2016.7504846","DOIUrl":"https://doi.org/10.1109/EESMS.2016.7504846","url":null,"abstract":"The present work concerns the development of an automatic Fishing Forecasting System (FiFoS) where satellite observations, ancillary data and in situ measurements (Catch Per Unit Effort) are used to set up, calibrate and validate a fishing forecasting model. Multi-temporal and multi-sensor data fusion techniques are applied to multi-spectral data in order to detect chlorophyll and sea temperature fronts that according to physical models of the upwelling phenomena are related to areas rich of phytoplankton nutrients where a high concentration of pelagic fish is expected.","PeriodicalId":262720,"journal":{"name":"2016 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS)","volume":"22 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":"123668495","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}
Sai Ram Gubba, Wen-Tai Li, W. Tushar, C. Yuen, N. Hassan, K. Wood, Chao-Kai Wen, H. Poor
{"title":"Energy management by controlling air conditioning systems in residential settings","authors":"Sai Ram Gubba, Wen-Tai Li, W. Tushar, C. Yuen, N. Hassan, K. Wood, Chao-Kai Wen, H. Poor","doi":"10.1109/EESMS.2016.7504808","DOIUrl":"https://doi.org/10.1109/EESMS.2016.7504808","url":null,"abstract":"This paper demonstrates some results from an on-going experiment on energy management in a residential testbed in Singapore by controlling the air-conditioning (AC) system. The testbed is set up at the faculty housing of Singapore University of Technology and Design (SUTD) in which the ACs installed within each unit can be controlled from a remote server. The control can be conducted both in terms of switching on/off and changing the temperature set-point of the ACs. The main objectives are to reduce the consumption of energy at a residential setting by controlling the ACs' temperature set-points and investigating the feasibility of having residential ACs as interruptible loads for demand response and thus enabling residential users to participate in the energy market. The control methodology is briefly discussed and the users' inputs on the experience of such experiments are also explained. Some preliminary results from the experiments are discussed and some insights are provided into how much load can be controlled through the set-point temperature of ACs such that the users do not feel any discomfort.","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":"125733158","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}
Hussein H. Zomor, Mahmoud Y. El-Shafie, Sally Bebawi, F. Gunzer
{"title":"Influence of the Coulomb repulsion on the ion cloud propagation in atmospheric pressure laser ionization (APLI) ion mobility spectrometry","authors":"Hussein H. Zomor, Mahmoud Y. El-Shafie, Sally Bebawi, F. Gunzer","doi":"10.1109/EESMS.2016.7504827","DOIUrl":"https://doi.org/10.1109/EESMS.2016.7504827","url":null,"abstract":"Ion Mobility Spectrometers are versatile gas analyzers. Their advantages are a small portable size, simple set up and thus robustness, fast response time and very good sensitivity in the ppb range. Thus they are typical instruments for diverse applications including environmental monitoring, work place safety (e.g. at industrial sites handling hazardous materials, but also e.g. first-responders like fire fighters etc.) and military applications. The selectivity is, however limited, so that the application for the identification of unknown substances is problematic. Since the spectrometers work with ions, one way to overcome the stated problem is to use laser radiation for analyte ionization. The ionization efficiency of lasers can be very high. If the concentration of ions becomes too large, however, Coulomb-Effects become challenging since the signals obtained when detecting the ions become distorted. In this paper we have analyzed the ion cloud propagation under the influence of Coulombic Effects for different concentrations and the related cloud shape distortion with help of finite elements method simulations.","PeriodicalId":262720,"journal":{"name":"2016 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS)","volume":"65 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":"121525366","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}