Pub Date : 2018-12-01DOI: 10.1109/ICSENST.2018.8603592
I. Frau, S. Wylie, P. Byrne, J. Cullen, O. Korostynska, A. Mason
Metal pollution from abandoned mines sites is an environmental problem that contaminates river systems worldwide. Rapid, accurate and in-situ characterisation of polluted stream water is essential to inform remediation strategies. A novel method for determining the sources of pollution in mining-impacted river catchments relies on accurate measurement of metal concentrations (e.g. Cu) and streamflow (using NaBr) at multiple points across a river catchment. Traditional ex-situ methods of Cu (ICP-MS) and Br (Ion Chromatography) analysis are time consuming and expensive. This limits the number of samples, and therefore the spatial detail of mine pollution source estimates. The aim of this study was to evaluate the feasibility of a novel functionalised electromagnetic (f-EM) sensor for detecting Br and Cu concentrations in stream water with continuous measurements. Results show that these changes can be detected with a good correlation between the concentrations and the reflection coefficient, S11. Br was detected at 1.05 GHz with f- EM sensors based on ITO with a polynomial correlation of R2>0.91; Cu ions were detected at 1.4–1.5 and 2.3 GHz with f- EM sensors based on chelating polymers with a linear correlation of R2>0.94. In conclusion, f-EM sensors can potentially be integrated during mine pollution source apportionment studies for real-time and in-situ detection of Cu (and other metals) and Br concentrations.
{"title":"Continuous Detection of Copper and Bromide in Polluted Water using f-EM Sensors","authors":"I. Frau, S. Wylie, P. Byrne, J. Cullen, O. Korostynska, A. Mason","doi":"10.1109/ICSENST.2018.8603592","DOIUrl":"https://doi.org/10.1109/ICSENST.2018.8603592","url":null,"abstract":"Metal pollution from abandoned mines sites is an environmental problem that contaminates river systems worldwide. Rapid, accurate and in-situ characterisation of polluted stream water is essential to inform remediation strategies. A novel method for determining the sources of pollution in mining-impacted river catchments relies on accurate measurement of metal concentrations (e.g. Cu) and streamflow (using NaBr) at multiple points across a river catchment. Traditional ex-situ methods of Cu (ICP-MS) and Br (Ion Chromatography) analysis are time consuming and expensive. This limits the number of samples, and therefore the spatial detail of mine pollution source estimates. The aim of this study was to evaluate the feasibility of a novel functionalised electromagnetic (f-EM) sensor for detecting Br and Cu concentrations in stream water with continuous measurements. Results show that these changes can be detected with a good correlation between the concentrations and the reflection coefficient, S11. Br was detected at 1.05 GHz with f- EM sensors based on ITO with a polynomial correlation of R2>0.91; Cu ions were detected at 1.4–1.5 and 2.3 GHz with f- EM sensors based on chelating polymers with a linear correlation of R2>0.94. In conclusion, f-EM sensors can potentially be integrated during mine pollution source apportionment studies for real-time and in-situ detection of Cu (and other metals) and Br concentrations.","PeriodicalId":181015,"journal":{"name":"2018 12th International Conference on Sensing Technology (ICST)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121918151","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}
Pub Date : 2018-12-01DOI: 10.1109/ICSENST.2018.8603565
Zijian Law, C. Pua, H. Lin, F. Rahman
Non-revenue water has become serious issue to the poor and less natural resources countries. It will lead to a waste of natural resources and infrastructure damage for example landslide due to pipeline leakage. The proposed optical sensor has applied laser dynamic effect exist in the lasing system and characterized it. Then it will demonstrate point to point sensing and compare performance with Acoustic Emission (AE) sensor that usually use in localized leak location. Result shows that the proposed optical sensor is working well with minimal signal processing and able to pinpoint the leaking point with less than 5% error.
{"title":"Application of Fiber Laser Dynamics in Leak Detection for Operating Water Pipeline","authors":"Zijian Law, C. Pua, H. Lin, F. Rahman","doi":"10.1109/ICSENST.2018.8603565","DOIUrl":"https://doi.org/10.1109/ICSENST.2018.8603565","url":null,"abstract":"Non-revenue water has become serious issue to the poor and less natural resources countries. It will lead to a waste of natural resources and infrastructure damage for example landslide due to pipeline leakage. The proposed optical sensor has applied laser dynamic effect exist in the lasing system and characterized it. Then it will demonstrate point to point sensing and compare performance with Acoustic Emission (AE) sensor that usually use in localized leak location. Result shows that the proposed optical sensor is working well with minimal signal processing and able to pinpoint the leaking point with less than 5% error.","PeriodicalId":181015,"journal":{"name":"2018 12th International Conference on Sensing Technology (ICST)","volume":"12 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120840980","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}
Pub Date : 2018-12-01DOI: 10.1109/ICSENST.2018.8603578
Vinicius Nunes Lage, A. Segundo, T. V. B. Pinto, Carina Carla Aparecida Felipe da Silva, É. Pinto, Marcelo Eustaquio Hamanaka Silva, S. A. L. D. Silva, P. Monteiro
Moisture content of materials is a widely used parameter for controlling several industrial processes. Especially in mining, this variable has fundamental importance for transporting and handling stages, which represent the most expensive part of ore treatment. This work presents the development of a bench system for measuring iron ore moisture in real time. The sensor consists of a pair of stainless steel electrodes and, differently to other systems for this purpose, it is based on a modern current-to-voltage method, which presents simple circuit, low-cost, high accuracy, high signal-to-noise ratio, fast response and immunity to stray capacitances.
{"title":"Bench System for Iron Ore Moisture Measurement","authors":"Vinicius Nunes Lage, A. Segundo, T. V. B. Pinto, Carina Carla Aparecida Felipe da Silva, É. Pinto, Marcelo Eustaquio Hamanaka Silva, S. A. L. D. Silva, P. Monteiro","doi":"10.1109/ICSENST.2018.8603578","DOIUrl":"https://doi.org/10.1109/ICSENST.2018.8603578","url":null,"abstract":"Moisture content of materials is a widely used parameter for controlling several industrial processes. Especially in mining, this variable has fundamental importance for transporting and handling stages, which represent the most expensive part of ore treatment. This work presents the development of a bench system for measuring iron ore moisture in real time. The sensor consists of a pair of stainless steel electrodes and, differently to other systems for this purpose, it is based on a modern current-to-voltage method, which presents simple circuit, low-cost, high accuracy, high signal-to-noise ratio, fast response and immunity to stray capacitances.","PeriodicalId":181015,"journal":{"name":"2018 12th International Conference on Sensing Technology (ICST)","volume":"135 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130596161","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}
Pub Date : 2018-12-01DOI: 10.1109/ICSENST.2018.8603569
Tapabrata Sen, A. Maity, S. Sen
In this paper, on-chip implementation of two linearization schemes for the giant-magnetoresistance (GMR) sensors has been presented. Conventionally, these linearization schemes are implemented in the discrete levels requiring dual supply rails (positive as well as negative), high power consumption, large component-counts and board space. In the proposed work, on-chip solutions are presented using a single supply voltage. Various design techniques are incorporated to enable a low-voltage, low-power operation and enhance the sensitivity of the sensor. The proposed schemes are designed in a 180-nm CMOS process. Preliminary simulation results in the architectural level show the efficacy of the proposed schemes. Integrated simulation results with the previously measured characteristic data of the GMR sensor show a good agreement with the theory as well as their discrete-counterparts.
{"title":"On-Chip Implementation of Analog Linearization Schemes for Giant-Magnetoresistance Sensors","authors":"Tapabrata Sen, A. Maity, S. Sen","doi":"10.1109/ICSENST.2018.8603569","DOIUrl":"https://doi.org/10.1109/ICSENST.2018.8603569","url":null,"abstract":"In this paper, on-chip implementation of two linearization schemes for the giant-magnetoresistance (GMR) sensors has been presented. Conventionally, these linearization schemes are implemented in the discrete levels requiring dual supply rails (positive as well as negative), high power consumption, large component-counts and board space. In the proposed work, on-chip solutions are presented using a single supply voltage. Various design techniques are incorporated to enable a low-voltage, low-power operation and enhance the sensitivity of the sensor. The proposed schemes are designed in a 180-nm CMOS process. Preliminary simulation results in the architectural level show the efficacy of the proposed schemes. Integrated simulation results with the previously measured characteristic data of the GMR sensor show a good agreement with the theory as well as their discrete-counterparts.","PeriodicalId":181015,"journal":{"name":"2018 12th International Conference on Sensing Technology (ICST)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128790127","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}
Pub Date : 2018-12-01DOI: 10.1109/ICSENST.2018.8603658
Thomas Cunin, S. McGrath, Ciaran MacNamee
Environmental monitoring refers to the use of sensor modules to monitor an exterior environment. It is possible to implement widespread environmental monitoring thanks to the availability of new wireless connection and low energy sensor modules. This paper describes a project using Internet of Things (IoT) technology combined with low energy modules to monitor an environment and display data on graphs to view information and the history of data in a given location. This project consists of the recording of environmental data (pollution, humidity, temperature…) and the display of said data on a mobile application or on a website. Particular emphasis is placed on the user interface and on the database design. The project described here was implemented at the University of Limerick, so this paper refers to the University of Limerick campus, but implementation would work in any place.
{"title":"Environmental monitoring based on Internet of Things Technology","authors":"Thomas Cunin, S. McGrath, Ciaran MacNamee","doi":"10.1109/ICSENST.2018.8603658","DOIUrl":"https://doi.org/10.1109/ICSENST.2018.8603658","url":null,"abstract":"Environmental monitoring refers to the use of sensor modules to monitor an exterior environment. It is possible to implement widespread environmental monitoring thanks to the availability of new wireless connection and low energy sensor modules. This paper describes a project using Internet of Things (IoT) technology combined with low energy modules to monitor an environment and display data on graphs to view information and the history of data in a given location. This project consists of the recording of environmental data (pollution, humidity, temperature…) and the display of said data on a mobile application or on a website. Particular emphasis is placed on the user interface and on the database design. The project described here was implemented at the University of Limerick, so this paper refers to the University of Limerick campus, but implementation would work in any place.","PeriodicalId":181015,"journal":{"name":"2018 12th International Conference on Sensing Technology (ICST)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125491663","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}
Pub Date : 2018-12-01DOI: 10.1109/ICSENST.2018.8603610
S. Plaga, Norbert Wiedermann, Matthew Niedermaier, Alexander Giehl, T. Newe
Information security is an important property in areas with distributed and decentralized communication like the Internet of Things (IoT) or Wireless Sensor Nodes (WSNs). Secure communication realises the protection goals of confidentiality, integrity, and authenticity, which are implemented by cryptographic functions. These functions need to evolve steadily in order to catch up with new attack vectors employed by cyber-criminals. This cryptographic evolution brings an increase of resource demand and consumption with it as cryptographic functions rise in complexity. The demand is difficult to satisfy by embedded platforms since they are often limited in their resources due to design efficiency. Therefore, adequate resource buffering is a crucial task in designing embedded systems that are future proof from a security point of view. In this work, we introduce a methodology for comparable resource benchmarking of cryptographic functions on embedded systems. Our approach enables designers and developers of embedded systems to achieve comparable results over an extended range of algorithms and implementations. This aids in the estimation of the cryptographic resource footprint. Further, we develop a measurement architecture for experimentation on different embedded platforms. We conduct a sample of reference measurements confirming well-known patterns in cryptography showing the validity of our framework. Finally, we argue for an open collaboration platform for sharing of benchmark results conducted with the framework.
{"title":"Future Proofing IoT Embedded Platforms for Cryptographic Primitives Support","authors":"S. Plaga, Norbert Wiedermann, Matthew Niedermaier, Alexander Giehl, T. Newe","doi":"10.1109/ICSENST.2018.8603610","DOIUrl":"https://doi.org/10.1109/ICSENST.2018.8603610","url":null,"abstract":"Information security is an important property in areas with distributed and decentralized communication like the Internet of Things (IoT) or Wireless Sensor Nodes (WSNs). Secure communication realises the protection goals of confidentiality, integrity, and authenticity, which are implemented by cryptographic functions. These functions need to evolve steadily in order to catch up with new attack vectors employed by cyber-criminals. This cryptographic evolution brings an increase of resource demand and consumption with it as cryptographic functions rise in complexity. The demand is difficult to satisfy by embedded platforms since they are often limited in their resources due to design efficiency. Therefore, adequate resource buffering is a crucial task in designing embedded systems that are future proof from a security point of view. In this work, we introduce a methodology for comparable resource benchmarking of cryptographic functions on embedded systems. Our approach enables designers and developers of embedded systems to achieve comparable results over an extended range of algorithms and implementations. This aids in the estimation of the cryptographic resource footprint. Further, we develop a measurement architecture for experimentation on different embedded platforms. We conduct a sample of reference measurements confirming well-known patterns in cryptography showing the validity of our framework. Finally, we argue for an open collaboration platform for sharing of benchmark results conducted with the framework.","PeriodicalId":181015,"journal":{"name":"2018 12th International Conference on Sensing Technology (ICST)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125272468","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}
Pub Date : 2018-12-01DOI: 10.1109/ICSENST.2018.8603669
Donato Catenazzo, B. O’flynn, M. Walsh
The goal of this paper is to present a literature study on the use of Wireless Sensor Networks (WSNs) in Preventative Maintenance applications for Industry 4.0. Requirements for industrial applications are discussed along with a comparative of the characteristics of the existing and emerging WSN technology enablers. The design considerations inherent to WSNs becoming a tool to drive maintenance efficiencies are discussed in the context of implementations in the research literature and commercial solutions available on the market.
{"title":"On the use of Wireless Sensor Networks in Preventative Maintenance for Industry 4.0","authors":"Donato Catenazzo, B. O’flynn, M. Walsh","doi":"10.1109/ICSENST.2018.8603669","DOIUrl":"https://doi.org/10.1109/ICSENST.2018.8603669","url":null,"abstract":"The goal of this paper is to present a literature study on the use of Wireless Sensor Networks (WSNs) in Preventative Maintenance applications for Industry 4.0. Requirements for industrial applications are discussed along with a comparative of the characteristics of the existing and emerging WSN technology enablers. The design considerations inherent to WSNs becoming a tool to drive maintenance efficiencies are discussed in the context of implementations in the research literature and commercial solutions available on the market.","PeriodicalId":181015,"journal":{"name":"2018 12th International Conference on Sensing Technology (ICST)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125323109","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}
Pub Date : 2018-12-01DOI: 10.1109/ICSENST.2018.8603576
R. M. Figueiredo, M. Veronez, F. M. Tognoli, M. R. D. Silva, L. G. D. Silveira, L. S. Kupssinskü, F. Bordin, Diego Brum, C. Cazarin
In a geological study, an important step is to determine the type of sedimentary rock or its grain size. Such a determination requires accurate analysis in the field or in a laboratory. As the size of the study area grows, this activity can be time consuming and error prone because the number of specialists working under rigid criteria also increases. This paper proposes a novel methodology to classify grain size using unique wavelength reflectance data and artificial neural networks. The results indicate that the proposed method can be reliably used in the field.
{"title":"Artificial neural network–based method to classify sedimentary rocks","authors":"R. M. Figueiredo, M. Veronez, F. M. Tognoli, M. R. D. Silva, L. G. D. Silveira, L. S. Kupssinskü, F. Bordin, Diego Brum, C. Cazarin","doi":"10.1109/ICSENST.2018.8603576","DOIUrl":"https://doi.org/10.1109/ICSENST.2018.8603576","url":null,"abstract":"In a geological study, an important step is to determine the type of sedimentary rock or its grain size. Such a determination requires accurate analysis in the field or in a laboratory. As the size of the study area grows, this activity can be time consuming and error prone because the number of specialists working under rigid criteria also increases. This paper proposes a novel methodology to classify grain size using unique wavelength reflectance data and artificial neural networks. The results indicate that the proposed method can be reliably used in the field.","PeriodicalId":181015,"journal":{"name":"2018 12th International Conference on Sensing Technology (ICST)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122438408","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}
Pub Date : 2018-12-01DOI: 10.1109/ICSENST.2018.8603639
Dong-Jin Lee, S. H. Kim, Y. Byun
We demonstrate the paper-based hydrogen peroxide sensors for the biomedical and healthcare applications. Porphyrin with central ions of Ti is coated on a PDMS/paper substrate, and Au interdigitated electrodes are sputtered on the porphyrin/PDMS/paper substrate for the sensor applications. The fabricated sensors show a good response in the range of ca. 2 ~ 90 ppm of hydrogen peroxide vapor, and high selectivity to NH3, H2S, CO, and NO gases, which are representative biomarkers including exhaled breath.
{"title":"Paper-based hydrogen peroxide sensors using porphyrin with central ions of Ti","authors":"Dong-Jin Lee, S. H. Kim, Y. Byun","doi":"10.1109/ICSENST.2018.8603639","DOIUrl":"https://doi.org/10.1109/ICSENST.2018.8603639","url":null,"abstract":"We demonstrate the paper-based hydrogen peroxide sensors for the biomedical and healthcare applications. Porphyrin with central ions of Ti is coated on a PDMS/paper substrate, and Au interdigitated electrodes are sputtered on the porphyrin/PDMS/paper substrate for the sensor applications. The fabricated sensors show a good response in the range of ca. 2 ~ 90 ppm of hydrogen peroxide vapor, and high selectivity to NH3, H2S, CO, and NO gases, which are representative biomarkers including exhaled breath.","PeriodicalId":181015,"journal":{"name":"2018 12th International Conference on Sensing Technology (ICST)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128004511","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}
Pub Date : 2018-12-01DOI: 10.1109/ICSENST.2018.8603642
Niall O' Mahony, S. Campbell, L. Krpalkova, A. Carvalho, G. Velasco-Hernández, D. Riordan, Joseph Walsh
3D vision systems are becoming increasingly accessible and as such there has been a lot of progress in the design of 3D Convolutional Neural Networks (3D CNNs). This paper will provide a review of the significant enhancements which have been made in deep learning techniques for understanding data from 3D vision systems in the tasks of 3D object classification and 3D semantic segmentation. We compare the documented results the state-of-the-art architectures have achieved on benchmark datasets and outline the advantages of the different techniques which have been developed in a number of different categories of approaches including view-based, voxelbased and point-based architectures amongst others. We also give insights into common themes and trends in this very active field of research.
{"title":"Convolutional Neural Networks for 3D Vision System Data : A review","authors":"Niall O' Mahony, S. Campbell, L. Krpalkova, A. Carvalho, G. Velasco-Hernández, D. Riordan, Joseph Walsh","doi":"10.1109/ICSENST.2018.8603642","DOIUrl":"https://doi.org/10.1109/ICSENST.2018.8603642","url":null,"abstract":"3D vision systems are becoming increasingly accessible and as such there has been a lot of progress in the design of 3D Convolutional Neural Networks (3D CNNs). This paper will provide a review of the significant enhancements which have been made in deep learning techniques for understanding data from 3D vision systems in the tasks of 3D object classification and 3D semantic segmentation. We compare the documented results the state-of-the-art architectures have achieved on benchmark datasets and outline the advantages of the different techniques which have been developed in a number of different categories of approaches including view-based, voxelbased and point-based architectures amongst others. We also give insights into common themes and trends in this very active field of research.","PeriodicalId":181015,"journal":{"name":"2018 12th International Conference on Sensing Technology (ICST)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115581248","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}
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