Pub Date : 2014-04-15DOI: 10.1109/IPSN.2014.6846766
W. Dargie, Jianjun Wen
We propose a MAC protocol that supports the mobility of some nodes. An adaptive filter inside the protocol continuously evaluates the RSSI values of received acknowledgment packets and decides whether a mobile node should transfer a communication to a nearby relay node. This paper presents the design, implementation and evaluation of the MAC protocol.
{"title":"Poster abstract: A MAC protocol for medical applications","authors":"W. Dargie, Jianjun Wen","doi":"10.1109/IPSN.2014.6846766","DOIUrl":"https://doi.org/10.1109/IPSN.2014.6846766","url":null,"abstract":"We propose a MAC protocol that supports the mobility of some nodes. An adaptive filter inside the protocol continuously evaluates the RSSI values of received acknowledgment packets and decides whether a mobile node should transfer a communication to a nearby relay node. This paper presents the design, implementation and evaluation of the MAC protocol.","PeriodicalId":297218,"journal":{"name":"IPSN-14 Proceedings of the 13th International Symposium on Information Processing in Sensor Networks","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122485850","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 : 2014-04-15DOI: 10.1109/IPSN.2014.6846782
Dong Yang, Hongchao Wang, T. Zheng, Hongke Zhang, M. Gidlund, Youzhi Xu
Despite lots of research efforts in the area of Industrial Wireless Sensor Networks (IWSNs), there is a lack of really practical IWSN implementations, deployments and in-field experiments. This demo presents the design and implementation of an IWSN for welder machine systems based on the first IWSN standard WirelessHART. The goal of this work is to find the problems and challenges from IWSN standard to implementation, and motivate other designers to explore more IWSN applications.
{"title":"Demonstration abstract: Applying industrial wireless sensor networks to welder machine system","authors":"Dong Yang, Hongchao Wang, T. Zheng, Hongke Zhang, M. Gidlund, Youzhi Xu","doi":"10.1109/IPSN.2014.6846782","DOIUrl":"https://doi.org/10.1109/IPSN.2014.6846782","url":null,"abstract":"Despite lots of research efforts in the area of Industrial Wireless Sensor Networks (IWSNs), there is a lack of really practical IWSN implementations, deployments and in-field experiments. This demo presents the design and implementation of an IWSN for welder machine systems based on the first IWSN standard WirelessHART. The goal of this work is to find the problems and challenges from IWSN standard to implementation, and motivate other designers to explore more IWSN applications.","PeriodicalId":297218,"journal":{"name":"IPSN-14 Proceedings of the 13th International Symposium on Information Processing in Sensor Networks","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125616331","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 : 2014-04-15DOI: 10.1109/IPSN.2014.6846748
Chengwen Luo, H. Hong, M. Chan
While location is one of the most important context information in mobile and ubiquitous computing, large-scale deployment of indoor localization system remains elusive. In this work, we propose PiLoc, an indoor localization system that utilizes opportunistically sensed data contributed by users. Our system does not require manual calibration, prior knowledge and infrastructure support. The key novelty of PiLoc is that it merges walking segments annotated with displacement and signal strength information from users to derive a map of walking paths annotated with radio signal strengths. We evaluate PiLoc over 4 different indoor areas. Evaluation shows that our system can achieve an average localization error of 1.5m.
{"title":"PiLoc: A self-calibrating participatory indoor localization system","authors":"Chengwen Luo, H. Hong, M. Chan","doi":"10.1109/IPSN.2014.6846748","DOIUrl":"https://doi.org/10.1109/IPSN.2014.6846748","url":null,"abstract":"While location is one of the most important context information in mobile and ubiquitous computing, large-scale deployment of indoor localization system remains elusive. In this work, we propose PiLoc, an indoor localization system that utilizes opportunistically sensed data contributed by users. Our system does not require manual calibration, prior knowledge and infrastructure support. The key novelty of PiLoc is that it merges walking segments annotated with displacement and signal strength information from users to derive a map of walking paths annotated with radio signal strengths. We evaluate PiLoc over 4 different indoor areas. Evaluation shows that our system can achieve an average localization error of 1.5m.","PeriodicalId":297218,"journal":{"name":"IPSN-14 Proceedings of the 13th International Symposium on Information Processing in Sensor Networks","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125272882","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 : 2014-04-15DOI: 10.1109/IPSN.2014.6846743
Matthias Schäfer, Martin Strohmeier, Vincent Lenders, I. Martinovic, M. Wilhelm
Automatic Dependent Surveillance-Broadcast (ADS-B) is one of the key components of the next generation air transportation system. Since ADS-B will become mandatory by 2020 for most airspaces, it is important that aspects such as capacity, applications, and security are investigated by an independent research community. However, large-scale real-world data was previously only accessible to a few closed industrial and governmental groups because it required specialized and expensive equipment. To enable researchers to conduct experimental studies based on real data, we developed OpenSky, a sensor network based on low-cost hardware connected over the Internet. OpenSky is based on off-the-shelf ADS-B sensors distributed to volunteers throughout Central Europe. It covers 720,000 km2, is able to capture more than 30% of the commercial air traffic in Europe, and enables researchers to analyze billions of ADS-B messages. In this paper, we report on the challenges we faced during the development and deployment of this participatory network and the insights we gained over the last two years of operations as a service to academic research groups. We go on to provide real-world insights about the possibilities and limitations of such low-cost sensor networks concerning air traffic surveillance and further applications such as multilateration.
{"title":"Bringing up OpenSky: A large-scale ADS-B sensor network for research","authors":"Matthias Schäfer, Martin Strohmeier, Vincent Lenders, I. Martinovic, M. Wilhelm","doi":"10.1109/IPSN.2014.6846743","DOIUrl":"https://doi.org/10.1109/IPSN.2014.6846743","url":null,"abstract":"Automatic Dependent Surveillance-Broadcast (ADS-B) is one of the key components of the next generation air transportation system. Since ADS-B will become mandatory by 2020 for most airspaces, it is important that aspects such as capacity, applications, and security are investigated by an independent research community. However, large-scale real-world data was previously only accessible to a few closed industrial and governmental groups because it required specialized and expensive equipment. To enable researchers to conduct experimental studies based on real data, we developed OpenSky, a sensor network based on low-cost hardware connected over the Internet. OpenSky is based on off-the-shelf ADS-B sensors distributed to volunteers throughout Central Europe. It covers 720,000 km2, is able to capture more than 30% of the commercial air traffic in Europe, and enables researchers to analyze billions of ADS-B messages. In this paper, we report on the challenges we faced during the development and deployment of this participatory network and the insights we gained over the last two years of operations as a service to academic research groups. We go on to provide real-world insights about the possibilities and limitations of such low-cost sensor networks concerning air traffic surveillance and further applications such as multilateration.","PeriodicalId":297218,"journal":{"name":"IPSN-14 Proceedings of the 13th International Symposium on Information Processing in Sensor Networks","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121571390","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 : 2014-04-15DOI: 10.1109/IPSN.2014.6846798
Jian Wu, Zhanyu Wang, S. Raghuraman, B. Prabhakaran, R. Jafari
Motion capture plays an important role in interactive gaming, animation, film industry and navigation. The existing camera-based motion capture studios are expensive and require a clear line of sight; hence they cannot be applied to ubiquitous applications. With the rapid development of low-cost MEMS sensors and sensor fusion techniques, the inertial sensor based motion capture systems are attracting a lot of attention because of the seamless deployment, low system cost and the comparable accuracy they provide. In this paper, we demonstrate a wireless real-time inertial motion capture system.
{"title":"Demonstration abstract: Upper body motion capture system using inertial sensors","authors":"Jian Wu, Zhanyu Wang, S. Raghuraman, B. Prabhakaran, R. Jafari","doi":"10.1109/IPSN.2014.6846798","DOIUrl":"https://doi.org/10.1109/IPSN.2014.6846798","url":null,"abstract":"Motion capture plays an important role in interactive gaming, animation, film industry and navigation. The existing camera-based motion capture studios are expensive and require a clear line of sight; hence they cannot be applied to ubiquitous applications. With the rapid development of low-cost MEMS sensors and sensor fusion techniques, the inertial sensor based motion capture systems are attracting a lot of attention because of the seamless deployment, low system cost and the comparable accuracy they provide. In this paper, we demonstrate a wireless real-time inertial motion capture system.","PeriodicalId":297218,"journal":{"name":"IPSN-14 Proceedings of the 13th International Symposium on Information Processing in Sensor Networks","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133895781","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 : 2014-04-15DOI: 10.1109/IPSN.2014.6846786
Linglong Li, Yixin Zheng, Lin Zhang
Ultra-fine particles with aerodynamic diameter smaller than 2.5 microns, namely Particulate Matter 2.5 (PM 2.5), are capable of penetrating the lung cells and circulating the circulatory system, and compose a major health threat to people. Although the government is publishing the outdoor PM2.5 concentration on an hourly basis, the indoor PM 2.5 concentration, to which most people expose for most of their everyday life time, remains unsupervised. The high cost of the professional PM 2.5 measuring equipments, which utilize filtering and direct mass measuring methodology, prevents the indoor air quality to be monitored pervasively. We designed and implemented PiMi air box, a cost-effective portable sensor, which is able to estimate the PM 2.5 mass concentration with satisfactory accuracy. The PiMi air boxes adopt the low-cost optical particle counting technology and convert the particle counts into PM 2.5 mass concentration via empirical diameter-distribution and density of particulate matters. The errors introduced by the individuality of the low-cost particle counters are offset during a machine-learning-based calibration procedure for each single unit. The PiMi air box enjoys a stunning cost reduction by a factor of 1,000 comparing to professional equipments, and still maintains an satisfactory level of accuracy for everyday life air quality measurement. Together with embedded Bluetooth connectivity and SmartPhone APPs, PiMi air box is well-suited for massive crowd-sourced indoor air-quality monitoring research.
{"title":"Demonstration abstract: PiMi air box — A cost-effective sensor for participatory indoor quality monitoring","authors":"Linglong Li, Yixin Zheng, Lin Zhang","doi":"10.1109/IPSN.2014.6846786","DOIUrl":"https://doi.org/10.1109/IPSN.2014.6846786","url":null,"abstract":"Ultra-fine particles with aerodynamic diameter smaller than 2.5 microns, namely Particulate Matter 2.5 (PM 2.5), are capable of penetrating the lung cells and circulating the circulatory system, and compose a major health threat to people. Although the government is publishing the outdoor PM2.5 concentration on an hourly basis, the indoor PM 2.5 concentration, to which most people expose for most of their everyday life time, remains unsupervised. The high cost of the professional PM 2.5 measuring equipments, which utilize filtering and direct mass measuring methodology, prevents the indoor air quality to be monitored pervasively. We designed and implemented PiMi air box, a cost-effective portable sensor, which is able to estimate the PM 2.5 mass concentration with satisfactory accuracy. The PiMi air boxes adopt the low-cost optical particle counting technology and convert the particle counts into PM 2.5 mass concentration via empirical diameter-distribution and density of particulate matters. The errors introduced by the individuality of the low-cost particle counters are offset during a machine-learning-based calibration procedure for each single unit. The PiMi air box enjoys a stunning cost reduction by a factor of 1,000 comparing to professional equipments, and still maintains an satisfactory level of accuracy for everyday life air quality measurement. Together with embedded Bluetooth connectivity and SmartPhone APPs, PiMi air box is well-suited for massive crowd-sourced indoor air-quality monitoring research.","PeriodicalId":297218,"journal":{"name":"IPSN-14 Proceedings of the 13th International Symposium on Information Processing in Sensor Networks","volume":"56 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120868777","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 : 2014-04-15DOI: 10.1109/IPSN.2014.6846792
Georgios Larkou, Marios Mintzis, Stefano Taranto, Andreas Konstantinidis, P. Andreou, D. Zeinalipour-Yazti
In this demonstration paper we present SmartLab1, an architecture for managing a cluster of both Android Real Devices (ARDs) and Android Virtual Devices (AVDs) via an intuitive web-based interface. Our architecture consists of several exciting components for re-programming and instrumenting smartphones to perform application testing and data gathering in a facile manner, as well as executing mockup experiments by “feeding” the devices with GPS/sensor readings. We will particularly demonstrate the various components of our architecture that encompasses smartphone sensor data collected by mobile users and organized in our distributed NoSQL document store. The given datasets can then be replayed on our testbed comprising of real and virtual smartphones accessible to developers through our Web 2.0 user interface. We present the applicability of our architecture through various mockup experiments over different application scenarios.
{"title":"Demonstration abstract: Sensor mockup experiments with SmartLab","authors":"Georgios Larkou, Marios Mintzis, Stefano Taranto, Andreas Konstantinidis, P. Andreou, D. Zeinalipour-Yazti","doi":"10.1109/IPSN.2014.6846792","DOIUrl":"https://doi.org/10.1109/IPSN.2014.6846792","url":null,"abstract":"In this demonstration paper we present SmartLab1, an architecture for managing a cluster of both Android Real Devices (ARDs) and Android Virtual Devices (AVDs) via an intuitive web-based interface. Our architecture consists of several exciting components for re-programming and instrumenting smartphones to perform application testing and data gathering in a facile manner, as well as executing mockup experiments by “feeding” the devices with GPS/sensor readings. We will particularly demonstrate the various components of our architecture that encompasses smartphone sensor data collected by mobile users and organized in our distributed NoSQL document store. The given datasets can then be replayed on our testbed comprising of real and virtual smartphones accessible to developers through our Web 2.0 user interface. We present the applicability of our architecture through various mockup experiments over different application scenarios.","PeriodicalId":297218,"journal":{"name":"IPSN-14 Proceedings of the 13th International Symposium on Information Processing in Sensor Networks","volume":"53 10","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120922182","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 : 2014-04-15DOI: 10.1109/IPSN.2014.6846770
Kamyar Niroumand, L. McNamara, Kiril Goguev, E. Ngai
People's moods and activities are heavily affected by their environment, which changes significantly throughout the year. The variable of daylight hours is huge for countries in extreme latitudes, impacting the population's health and well-being. In this paper, we present a smartphone application that efficiently and accurately measures a person's light exposure, mood and activity levels. We performed a preliminary study to show effective data collection using on-board sensors in the mobile phones.
{"title":"Poster abstract: SADSense: Personalized mobile sensing for seasonal effects on health","authors":"Kamyar Niroumand, L. McNamara, Kiril Goguev, E. Ngai","doi":"10.1109/IPSN.2014.6846770","DOIUrl":"https://doi.org/10.1109/IPSN.2014.6846770","url":null,"abstract":"People's moods and activities are heavily affected by their environment, which changes significantly throughout the year. The variable of daylight hours is huge for countries in extreme latitudes, impacting the population's health and well-being. In this paper, we present a smartphone application that efficiently and accurately measures a person's light exposure, mood and activity levels. We performed a preliminary study to show effective data collection using on-board sensors in the mobile phones.","PeriodicalId":297218,"journal":{"name":"IPSN-14 Proceedings of the 13th International Symposium on Information Processing in Sensor Networks","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125794916","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 : 2014-04-15DOI: 10.1109/IPSN.2014.6846785
Kyeong T. Min, A. Forys, T. Schmid
Solutions to outdoor air pollution require societal changes; however, we focus on indoor home air quality to allow for individual control over the breathing environment. We present AirFeed: a real time air quality monitoring system that provides measurements on particulate matter, temperature, and humidity. Interactions with users based on data analysis and user/sensor feedback form distinguishable patterns between several types of activities. We can better inform the user how daily habits affect living environments. Several deployments are actively collecting data for future data analysis and improved pattern recognition.
{"title":"Demonstration abstract: AirFeed — Indoor real time interactive air quality monitoring system","authors":"Kyeong T. Min, A. Forys, T. Schmid","doi":"10.1109/IPSN.2014.6846785","DOIUrl":"https://doi.org/10.1109/IPSN.2014.6846785","url":null,"abstract":"Solutions to outdoor air pollution require societal changes; however, we focus on indoor home air quality to allow for individual control over the breathing environment. We present AirFeed: a real time air quality monitoring system that provides measurements on particulate matter, temperature, and humidity. Interactions with users based on data analysis and user/sensor feedback form distinguishable patterns between several types of activities. We can better inform the user how daily habits affect living environments. Several deployments are actively collecting data for future data analysis and improved pattern recognition.","PeriodicalId":297218,"journal":{"name":"IPSN-14 Proceedings of the 13th International Symposium on Information Processing in Sensor Networks","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126129480","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 : 2014-04-01DOI: 10.1109/IPSN.2014.6846747
Zhuoling Xiao, Hongkai Wen, A. Markham, A. Trigoni
Indoor tracking and navigation is a fundamental need for pervasive and context-aware smartphone applications. Although indoor maps are becoming increasingly available, there is no practical and reliable indoor map matching solution available at present. We present MapCraft, a novel, robust and responsive technique that is extremely computationally efficient (running in under 10 ms on an Android smartphone), does not require training in different sites, and tracks well even when presented with very noisy sensor data. Key to our approach is expressing the tracking problem as a conditional random field (CRF), a technique which has had great success in areas such as natural language processing, but has yet to be considered for indoor tracking. Unlike directed graphical models like Hidden Markov Models, CRFs capture arbitrary constraints that express how well observations support state transitions, given map constraints. Extensive experiments in multiple sites show how MapCraft outperforms state-of-the art approaches, demonstrating excellent tracking error and accurate reconstruction of tortuous trajectories with zero training effort. As proof of its robustness, we also demonstrate how it is able to accurately track the position of a user from accelerometer and magnetometer measurements only (i.e. gyro- and WiFi-free). We believe that such an energy-efficient approach will enable always-on background localisation, enabling a new era of location-aware applications to be developed.
{"title":"Lightweight map matching for indoor localisation using conditional random fields","authors":"Zhuoling Xiao, Hongkai Wen, A. Markham, A. Trigoni","doi":"10.1109/IPSN.2014.6846747","DOIUrl":"https://doi.org/10.1109/IPSN.2014.6846747","url":null,"abstract":"Indoor tracking and navigation is a fundamental need for pervasive and context-aware smartphone applications. Although indoor maps are becoming increasingly available, there is no practical and reliable indoor map matching solution available at present. We present MapCraft, a novel, robust and responsive technique that is extremely computationally efficient (running in under 10 ms on an Android smartphone), does not require training in different sites, and tracks well even when presented with very noisy sensor data. Key to our approach is expressing the tracking problem as a conditional random field (CRF), a technique which has had great success in areas such as natural language processing, but has yet to be considered for indoor tracking. Unlike directed graphical models like Hidden Markov Models, CRFs capture arbitrary constraints that express how well observations support state transitions, given map constraints. Extensive experiments in multiple sites show how MapCraft outperforms state-of-the art approaches, demonstrating excellent tracking error and accurate reconstruction of tortuous trajectories with zero training effort. As proof of its robustness, we also demonstrate how it is able to accurately track the position of a user from accelerometer and magnetometer measurements only (i.e. gyro- and WiFi-free). We believe that such an energy-efficient approach will enable always-on background localisation, enabling a new era of location-aware applications to be developed.","PeriodicalId":297218,"journal":{"name":"IPSN-14 Proceedings of the 13th International Symposium on Information Processing in Sensor Networks","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128767947","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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