Several possible probability distributions of speeds that can be observed in everyday life are presented in this paper. Positioning systems and devices are commonly used worldwide, for example, portable positioning devices and smartphones that have a combination of positioning mechanisms. Positioning devices can obtain the user's position and the corresponding time information, which comprises one positioning tuple. From a consecutive pair of positioning tuples, we can calculate the speed between two positions using various methods. The main problem in these systems is that the position data obtained by positioning devices have errors, and it is nearly impossible for the end-user's positioning device to identify the occurrence and number of errors. Therefore, the speed values calculated from the positioning data also have errors. Before identifying erroneous speed values from calculated speeds, one or more meaningful probability distributions of speeds are required. Statistical fitting methods are employed on the positioning data set collected by volunteers and several meaningful distributions for human movement speeds are presented and discussed. For scenarios with various ranges of speed, several good fits for the probability distributions of human movement speeds are presented.
{"title":"On the Probability Distribution of Speeds derived from Positioning Data obtained by Portable Positioning Devices","authors":"Kyoung Woon On, H. Song","doi":"10.1145/2536853.2536891","DOIUrl":"https://doi.org/10.1145/2536853.2536891","url":null,"abstract":"Several possible probability distributions of speeds that can be observed in everyday life are presented in this paper. Positioning systems and devices are commonly used worldwide, for example, portable positioning devices and smartphones that have a combination of positioning mechanisms. Positioning devices can obtain the user's position and the corresponding time information, which comprises one positioning tuple. From a consecutive pair of positioning tuples, we can calculate the speed between two positions using various methods. The main problem in these systems is that the position data obtained by positioning devices have errors, and it is nearly impossible for the end-user's positioning device to identify the occurrence and number of errors. Therefore, the speed values calculated from the positioning data also have errors. Before identifying erroneous speed values from calculated speeds, one or more meaningful probability distributions of speeds are required. Statistical fitting methods are employed on the positioning data set collected by volunteers and several meaningful distributions for human movement speeds are presented and discussed. For scenarios with various ranges of speed, several good fits for the probability distributions of human movement speeds are presented.","PeriodicalId":135195,"journal":{"name":"Advances in Mobile Multimedia","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127785708","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}
Alexander Schuch, Clemens Holzmann, Florian Lettner
Users download mobile applications after being drawn to the application stores, including referrals from advertising campaigns on websites. To determine if a mobile application install originates from a specific campaign, mobile devices need to be uniquely identified before referral to the mobile application store and after a successful install. However, the mobile sandbox environment makes it impossible to exchange device identifiers between a mobile web browser and other mobile applications on the same device. This paper introduces an alternative approach that makes it possible to create identifiers based on measurable device characteristics. The proposed use of device fingerprinting allows to uniquely identify devices even across multiple mobile applications and regardless of the mobile operating system. The presented comparison algorithm is capable of finding two independently created identifiers that were measured on the same mobile device, which makes it possible to determine successful mobile application installs that originated from a specific website.
{"title":"A Method for Mobile Download Conversion Rate Measurement based on Device Fingerprinting","authors":"Alexander Schuch, Clemens Holzmann, Florian Lettner","doi":"10.1145/2536853.2536885","DOIUrl":"https://doi.org/10.1145/2536853.2536885","url":null,"abstract":"Users download mobile applications after being drawn to the application stores, including referrals from advertising campaigns on websites. To determine if a mobile application install originates from a specific campaign, mobile devices need to be uniquely identified before referral to the mobile application store and after a successful install. However, the mobile sandbox environment makes it impossible to exchange device identifiers between a mobile web browser and other mobile applications on the same device. This paper introduces an alternative approach that makes it possible to create identifiers based on measurable device characteristics. The proposed use of device fingerprinting allows to uniquely identify devices even across multiple mobile applications and regardless of the mobile operating system. The presented comparison algorithm is capable of finding two independently created identifiers that were measured on the same mobile device, which makes it possible to determine successful mobile application installs that originated from a specific website.","PeriodicalId":135195,"journal":{"name":"Advances in Mobile Multimedia","volume":"175 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129450833","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}
This paper presents single carrier multiuser multiple input multiple output (MU-MIMO) downlink transmission schemes under frequency selective channels based on extension of narrow band MU-MIMO techniques. First, broadband version of channel inversion method adopting time-domain processing is proposed. Then it is further arranged to an energy saving variation using nonlinear strategy, vector perturbation (VP) method. In those methods, transmitter is equipped with spatio-temporal filters adopting tapped delay line (TDL) structure instead of simple spatial weight, and they can avoid some problems specific in frequency-domain approaches. Through computer simulations, the effectiveness and features of those approaches are shown.
{"title":"Broadband Channel Inversion and Vector Perturbation for MU-MIMO System Under Frequency Selective Fading","authors":"T. Taniguchi, Y. Karasawa","doi":"10.1145/2536853.2536920","DOIUrl":"https://doi.org/10.1145/2536853.2536920","url":null,"abstract":"This paper presents single carrier multiuser multiple input multiple output (MU-MIMO) downlink transmission schemes under frequency selective channels based on extension of narrow band MU-MIMO techniques. First, broadband version of channel inversion method adopting time-domain processing is proposed. Then it is further arranged to an energy saving variation using nonlinear strategy, vector perturbation (VP) method. In those methods, transmitter is equipped with spatio-temporal filters adopting tapped delay line (TDL) structure instead of simple spatial weight, and they can avoid some problems specific in frequency-domain approaches. Through computer simulations, the effectiveness and features of those approaches are shown.","PeriodicalId":135195,"journal":{"name":"Advances in Mobile Multimedia","volume":" 9","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120834537","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}
This paper proposes an extendable Native Mobile Multimedia Learning Application (NMMLA) Framework for instantiating mobile learning applications for various educational subjects and courses on the Android platform. The framework supports a scalable number of components, which include Learn, Evaluate, Simulate, Resources, Chat, e-Quiz etc. It is a one-page-setup and do-it-yourself library that will facilitate the development and deployment of NMMLAs. Thus, it supports four major types of multimedia learning content---images, Hypertext Markup Language (HTML), audio and video---aimed at meeting different learning preferences. Moreover, it supports active and face-toface collaborative learning, such as simulations, chatting, and application/content sharing via Bluetooth, email and on social networks. Above all, it offers key application features, such as theme, course and quiz menus; listview/tabview presentational modes; and Search and Help utilities. This work will benefit practitioners in the m-learning field by providing a content flow algorithm tree that will prevent reinventing the wheel.
{"title":"A Framework for Instantiating Native Mobile Multimedia Learning Applications on Android Platform","authors":"Kiemute Oyibo, Mohamed Hamada","doi":"10.1145/2536853.2536932","DOIUrl":"https://doi.org/10.1145/2536853.2536932","url":null,"abstract":"This paper proposes an extendable Native Mobile Multimedia Learning Application (NMMLA) Framework for instantiating mobile learning applications for various educational subjects and courses on the Android platform. The framework supports a scalable number of components, which include Learn, Evaluate, Simulate, Resources, Chat, e-Quiz etc. It is a one-page-setup and do-it-yourself library that will facilitate the development and deployment of NMMLAs. Thus, it supports four major types of multimedia learning content---images, Hypertext Markup Language (HTML), audio and video---aimed at meeting different learning preferences. Moreover, it supports active and face-toface collaborative learning, such as simulations, chatting, and application/content sharing via Bluetooth, email and on social networks. Above all, it offers key application features, such as theme, course and quiz menus; listview/tabview presentational modes; and Search and Help utilities. This work will benefit practitioners in the m-learning field by providing a content flow algorithm tree that will prevent reinventing the wheel.","PeriodicalId":135195,"journal":{"name":"Advances in Mobile Multimedia","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123336542","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}
Linchao Zhang, R. Ferrero, F. Gandino, M. Rebaudengo
When numerous RFID readers are placed in the same area, they may interfere with each other due to the reader collision problem. In recent years, many studies have been presented to address the reader collision problem. However, there is no consonance on the interference model to use in the analysis of the protocols. The main adopted models are the single interference model, which is simple and fast, but only considers the readers within a threshold distance, and the additive interference model, which sums the interferences of all the concurrent interrogations. Recent studies have shown that the single interference model cannot detect a relevant part of the possible collisions detected by the additive one. This paper analyzes and compares the network performance of an RFID system by applying both the models. Considering two proposed scenarios, the performance of the two models are evaluated and presented.
{"title":"Simulation and Evaluation of the Interference Models for RFID Reader-to-Reader Collisions","authors":"Linchao Zhang, R. Ferrero, F. Gandino, M. Rebaudengo","doi":"10.1145/2536853.2536877","DOIUrl":"https://doi.org/10.1145/2536853.2536877","url":null,"abstract":"When numerous RFID readers are placed in the same area, they may interfere with each other due to the reader collision problem. In recent years, many studies have been presented to address the reader collision problem. However, there is no consonance on the interference model to use in the analysis of the protocols. The main adopted models are the single interference model, which is simple and fast, but only considers the readers within a threshold distance, and the additive interference model, which sums the interferences of all the concurrent interrogations. Recent studies have shown that the single interference model cannot detect a relevant part of the possible collisions detected by the additive one. This paper analyzes and compares the network performance of an RFID system by applying both the models. Considering two proposed scenarios, the performance of the two models are evaluated and presented.","PeriodicalId":135195,"journal":{"name":"Advances in Mobile Multimedia","volume":"231 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116171812","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}
As the amount of ubiquitous product and service information within our daily lives is exploding, client-centric and context-aware information filtering is one of the thriving topics within the next years. A popular approach is to combine context-awareness with traditional recommendation engines in order to evaluate the relevance of a large amount of items for a given situation and user. Within this work we propose a general software architecture as well as a prototypical implementation for a framework that combines traditional recommendation methods with a variable number of context dimensions, such as location of social context. This work shows how to use a MapReduce programming model for aggregating the necessary information for calculating fast context-aware recommendations. A use-case at the end of this work shows how to use this general framework to implement a client-centric, MapReduce-based recommendation engine for real-time recommending music events.
{"title":"Implementation of Context-Aware Item Recommendation through MapReduce Data Aggregation","authors":"W. Beer, Christian Derwein, S. Herramhof","doi":"10.1145/2536853.2536859","DOIUrl":"https://doi.org/10.1145/2536853.2536859","url":null,"abstract":"As the amount of ubiquitous product and service information within our daily lives is exploding, client-centric and context-aware information filtering is one of the thriving topics within the next years. A popular approach is to combine context-awareness with traditional recommendation engines in order to evaluate the relevance of a large amount of items for a given situation and user. Within this work we propose a general software architecture as well as a prototypical implementation for a framework that combines traditional recommendation methods with a variable number of context dimensions, such as location of social context. This work shows how to use a MapReduce programming model for aggregating the necessary information for calculating fast context-aware recommendations. A use-case at the end of this work shows how to use this general framework to implement a client-centric, MapReduce-based recommendation engine for real-time recommending music events.","PeriodicalId":135195,"journal":{"name":"Advances in Mobile Multimedia","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116040744","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}
Interoperability is a qualitative property of computing infrastructures that denotes the ability of the sending and receiving systems to exchange and properly interpret information objects across system boundaries. Since this property is not given by default, the interoperability problem and the representation of semantics have been an active research topic for approximately four decades. Early database models such as the Relational Model used schemas to express semantics and implicitly aimed at achieving interoperability by providing programming independence of data storage and access. After a number of intermediate steps such as Object Oriented Data Bases and Semi - Structured Data such as hypertext and XML document models, the notions of semantics and interoperability became what they have been over the last ten years in the context of the World Wide Web and more recently the concept of Open Linked Data. With this talk we investigate semantics and interoperability research from the point of view of information systems. It should give an overview of existing old and new interoperability techniques and point out future research directions, especially for concepts found in Open Linked Data and the Semantic WEB.
{"title":"Interoperability and Semantics - a reoccurring Issue?","authors":"E. Neuhold","doi":"10.1145/2536853.2536854","DOIUrl":"https://doi.org/10.1145/2536853.2536854","url":null,"abstract":"Interoperability is a qualitative property of computing infrastructures that denotes the ability of the sending and receiving systems to exchange and properly interpret information objects across system boundaries.\u0000 Since this property is not given by default, the interoperability problem and the representation of semantics have been an active research topic for approximately four decades. Early database models such as the Relational Model used schemas to express semantics and implicitly aimed at achieving interoperability by providing programming independence of data storage and access.\u0000 After a number of intermediate steps such as Object Oriented Data Bases and Semi - Structured Data such as hypertext and XML document models, the notions of semantics and interoperability became what they have been over the last ten years in the context of the World Wide Web and more recently the concept of Open Linked Data.\u0000 With this talk we investigate semantics and interoperability research from the point of view of information systems. It should give an overview of existing old and new interoperability techniques and point out future research directions, especially for concepts found in Open Linked Data and the Semantic WEB.","PeriodicalId":135195,"journal":{"name":"Advances in Mobile Multimedia","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129354715","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}
Successful music recommendation systems need to incorporate information on at least three levels: the music content, the music context, and the user context. The former refers to features derived from the audio signal; the second refers to aspects of the music or artist not encoded in the audio, nevertheless important to human music perception; the third refers to contextual aspects of the user which change dynamically. In this paper, we briefly review the well-researched categories of music content and music context features, before focusing on user-centric models, which have been neglected for a long time in music retrieval and recommendation approaches. In particular, we address the following tasks: (i) geospatial music recommendation from microblog data, (ii) user-aware music playlist generation on smart phones, and (iii) matching places of interest and music. The approaches presented for task (i) rely on large-scale data inferred from microblogs, motivated by the fact that social media represent an unprecedented source of information about every topic of our daily lives. Information about music items and artists is thus found in abundance in user-generated data. The questions of how to infer information relevant to music recommendation from microblogs and what to learn from them are discussed. So are different ways of incorporating this kind of information into state-of-the-art music recommendation algorithms. The presented approaches targeted at tasks (ii) and (iii) model the user in a more comprehensive way than just using information about her location and music listening habits. We report results of a user study aiming at investigating the relationship between music listening activity and a large set of contextual user features. Based on these, an intelligent mobile music player that automatically adapts the current playlist to the user context is presented. Eventually, we discuss different methods to solve task (iii), i.e., to determine music that suits a given place of interest, for instance, a major monument. In particular, we look into knowledge-based and tag-based methods to match music and places.
{"title":"Ameliorating Music Recommendation: Integrating Music Content, Music Context, and User Context for Improved Music Retrieval and Recommendation","authors":"M. Schedl","doi":"10.1145/2536853.2536856","DOIUrl":"https://doi.org/10.1145/2536853.2536856","url":null,"abstract":"Successful music recommendation systems need to incorporate information on at least three levels: the music content, the music context, and the user context. The former refers to features derived from the audio signal; the second refers to aspects of the music or artist not encoded in the audio, nevertheless important to human music perception; the third refers to contextual aspects of the user which change dynamically.\u0000 In this paper, we briefly review the well-researched categories of music content and music context features, before focusing on user-centric models, which have been neglected for a long time in music retrieval and recommendation approaches. In particular, we address the following tasks: (i) geospatial music recommendation from microblog data, (ii) user-aware music playlist generation on smart phones, and (iii) matching places of interest and music.\u0000 The approaches presented for task (i) rely on large-scale data inferred from microblogs, motivated by the fact that social media represent an unprecedented source of information about every topic of our daily lives. Information about music items and artists is thus found in abundance in user-generated data. The questions of how to infer information relevant to music recommendation from microblogs and what to learn from them are discussed. So are different ways of incorporating this kind of information into state-of-the-art music recommendation algorithms. The presented approaches targeted at tasks (ii) and (iii) model the user in a more comprehensive way than just using information about her location and music listening habits. We report results of a user study aiming at investigating the relationship between music listening activity and a large set of contextual user features. Based on these, an intelligent mobile music player that automatically adapts the current playlist to the user context is presented.\u0000 Eventually, we discuss different methods to solve task (iii), i.e., to determine music that suits a given place of interest, for instance, a major monument. In particular, we look into knowledge-based and tag-based methods to match music and places.","PeriodicalId":135195,"journal":{"name":"Advances in Mobile Multimedia","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127349343","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}
This study is an extraction of a wider study which had been executed as a master thesis project that has started during my studies in Malmö University Interaction Design department and continued in Istanbul Technical University Industrial Product Design Department. The study proposes a new "vocabulary" of gestural commands for mobile devices, based on established bodily practices and daily rituals. The research approach is grounded in a theoretical framework of phenomenology, and entails collaborative improvisation workshops akin to bodystorming. The combination of these methods is named as "hacking the physical actions" and the significance of this approach is highlighted, especially as a constituting source for the similar researches in this field. The resulting ideas for gestural commands are then synthesized and applied to fundamental tasks of handling mobile phones and explained with a supplementary video [10].
{"title":"Hacking the Gestures of Past for Future Interactions","authors":"Atilim Sahin","doi":"10.1145/2536853.2536908","DOIUrl":"https://doi.org/10.1145/2536853.2536908","url":null,"abstract":"This study is an extraction of a wider study which had been executed as a master thesis project that has started during my studies in Malmö University Interaction Design department and continued in Istanbul Technical University Industrial Product Design Department. The study proposes a new \"vocabulary\" of gestural commands for mobile devices, based on established bodily practices and daily rituals. The research approach is grounded in a theoretical framework of phenomenology, and entails collaborative improvisation workshops akin to bodystorming. The combination of these methods is named as \"hacking the physical actions\" and the significance of this approach is highlighted, especially as a constituting source for the similar researches in this field. The resulting ideas for gestural commands are then synthesized and applied to fundamental tasks of handling mobile phones and explained with a supplementary video [10].","PeriodicalId":135195,"journal":{"name":"Advances in Mobile Multimedia","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128295462","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}
Identification of people and their position is essential in the design of proxemic interactions. The smartphone often plays an important role in positioning systems, due to its mobility, computational power and sensory capabilities. Studies however show that perceived proximity to our phone is significantly closer than what is actually the case. This makes the smartphone a weak identifier for applications that need to track persons. With a focus on feasible interaction design, we present a concept and prototype of a platform, which seek to support proxemic interaction beyond weak identifiers. The concept is a lightweight, low-cost, platform, offering a high update-rate that in particular focuses on support for the identity, location and distance dimensions of proxemic interaction. An evaluation of the platform validates its potential use for proxemic interactions but also reveals challenges and limitations that need to be addressed.
{"title":"Moving Beyond Weak Identifiers for Proxemic Interaction","authors":"Henrik Sørensen, J. Kjeldskov","doi":"10.1145/2536853.2536910","DOIUrl":"https://doi.org/10.1145/2536853.2536910","url":null,"abstract":"Identification of people and their position is essential in the design of proxemic interactions. The smartphone often plays an important role in positioning systems, due to its mobility, computational power and sensory capabilities. Studies however show that perceived proximity to our phone is significantly closer than what is actually the case. This makes the smartphone a weak identifier for applications that need to track persons. With a focus on feasible interaction design, we present a concept and prototype of a platform, which seek to support proxemic interaction beyond weak identifiers. The concept is a lightweight, low-cost, platform, offering a high update-rate that in particular focuses on support for the identity, location and distance dimensions of proxemic interaction. An evaluation of the platform validates its potential use for proxemic interactions but also reveals challenges and limitations that need to be addressed.","PeriodicalId":135195,"journal":{"name":"Advances in Mobile Multimedia","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128495146","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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