Social opportunistic sensing and social centric networking: enabling technology for smart cities
暂无分享,去创建一个
[1] Ramachandran Ramjee,et al. Nericell: rich monitoring of road and traffic conditions using mobile smartphones , 2008, SenSys '08.
[2] Marco Gruteser,et al. ParkNet: drive-by sensing of road-side parking statistics , 2010, MobiSys '10.
[3] Stephan Sigg,et al. Secure Communication Based on Ambient Audio , 2013, IEEE Transactions on Mobile Computing.
[4] Tim Kraska,et al. CrowdDB: answering queries with crowdsourcing , 2011, SIGMOD '11.
[5] M. Hansen,et al. Participatory Sensing , 2019, Internet of Things.
[6] Yusheng Ji,et al. RF-Sensing of Activities from Non-Cooperative Subjects in Device-Free Recognition Systems Using Ambient and Local Signals , 2014, IEEE Transactions on Mobile Computing.
[7] Prem Prakash Jayaraman,et al. Using On-the-Move Mining for Mobile Crowdsensing , 2012, 2012 IEEE 13th International Conference on Mobile Data Management.
[8] Loïc Kessous,et al. Emotion Recognition through Multiple Modalities: Face, Body Gesture, Speech , 2008, Affect and Emotion in Human-Computer Interaction.
[9] José Ramón Gil-García,et al. Understanding Smart Cities: An Integrative Framework , 2012, HICSS.
[10] Theresa A. Pardo,et al. Conceptualizing smart city with dimensions of technology, people, and institutions , 2011, dg.o '11.
[11] Emiliano Miluzzo,et al. BikeNet: A mobile sensing system for cyclist experience mapping , 2009, TOSN.
[12] David Kotz,et al. AnonySense: Opportunistic and Privacy-Preserving Context Collection , 2009, Pervasive.
[13] Jiafu Wan,et al. M2M Communications for Smart City: An Event-Based Architecture , 2012, 2012 IEEE 12th International Conference on Computer and Information Technology.
[14] Nathan Eagle,et al. txteagle: Mobile Crowdsourcing , 2009, HCI.
[15] Mirco Musolesi,et al. Urban sensing systems: opportunistic or participatory? , 2008, HotMobile '08.
[16] Cornel Klein,et al. From Smart Homes to Smart Cities: Opportunities and Challenges from an Industrial Perspective , 2008, NEW2AN.
[17] Yusheng Ji,et al. Monitoring Attention Using Ambient FM Radio Signals , 2014, IEEE Pervasive Computing.
[18] Vinicius Cardoso Garcia,et al. Smart cities software architectures: a survey , 2013, SAC '13.
[19] Luis A. Hernández Gómez,et al. Smart Cities at the Forefront of the Future Internet , 2011, Future Internet Assembly.
[20] Noordin Ahmad,et al. Smart City Components Architicture , 2009, 2009 International Conference on Computational Intelligence, Modelling and Simulation.
[21] Deborah Estrin,et al. Image browsing, processing, and clustering for participatory sensing: lessons from a DietSense prototype , 2007, EmNets '07.
[22] Dirk Trossen,et al. NORS: An Open Source Platform to Facilitate Participatory Sensing with Mobile Phones , 2007, 2007 Fourth Annual International Conference on Mobile and Ubiquitous Systems: Networking & Services (MobiQuitous).
[23] Van Jacobson,et al. Networking named content , 2009, CoNEXT '09.
[24] Yang Zhang,et al. CarTel: a distributed mobile sensor computing system , 2006, SenSys '06.
[25] George Kozmetsky,et al. The Technopolis Phenomenon: Smart Cities, Fast Systems, Global Networks , 1992 .
[26] Jun Li,et al. Towards robust device-free passive localization through automatic camera-assisted recalibration , 2012, SenSys '12.
[27] Tara S. Behrend,et al. The viability of crowdsourcing for survey research , 2011, Behavior research methods.
[28] Ingolf Krüger,et al. A Rich Services Approach to CoCoME , 2007, CoCoME.
[29] B. de Gelder,et al. Rapid detection of fear in body expressions, an ERP study , 2007, Brain Research.
[30] Stephan Sigg,et al. Algorithms for closed-loop feedback based distributed adaptive beamforming in wireless sensor networks , 2009, 2009 International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP).
[31] Richard Howard,et al. SCPL: Indoor device-free multi-subject counting and localization using radio signal strength , 2013, 2013 ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN).
[32] Deepak Ganesan,et al. mCrowd: a platform for mobile crowdsourcing , 2009, SenSys '09.
[33] H. Wallbott. Bodily expression of emotion , 1998 .
[34] J. Millard,et al. Mapping Smart Cities in the EU , 2014 .
[35] Paul Lukowicz,et al. OPPORTUNITY: Towards opportunistic activity and context recognition systems , 2009, 2009 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks & Workshops.
[36] Gerhard Tröster,et al. The telepathic phone: Frictionless activity recognition from WiFi-RSSI , 2014, 2014 IEEE International Conference on Pervasive Computing and Communications (PerCom).
[37] Jayant Kalagnanam,et al. Foundations for Smarter Cities , 2010, IBM J. Res. Dev..
[38] Björn Hartmann,et al. MobileWorks: A Mobile Crowdsourcing Platform for Workers at the Bottom of the Pyramid , 2011, Human Computation.
[39] Fan Ye,et al. Mobile crowdsensing: current state and future challenges , 2011, IEEE Communications Magazine.
[40] Nik Bessis,et al. Buildings and Crowds: Forming Smart Cities for More Effective Disaster Management , 2011, 2011 Fifth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing.
[41] Wolf-Tilo Balke,et al. Information Extraction Meets Crowdsourcing: A Promising Couple , 2012, Datenbank-Spektrum.
[42] Edward Cutrell,et al. mClerk: enabling mobile crowdsourcing in developing regions , 2012, CHI.
[43] Wolf-Tilo Balke,et al. Pushing the Boundaries of Crowd-enabled Databases with Query-driven Schema Expansion , 2012, Proc. VLDB Endow..
[44] Jacco van Ossenbruggen,et al. Do you need experts in the crowd?: a case study in image annotation for marine biology , 2013, OAIR.
[45] G. Jouret. Inside Cisco's Search for the Next Big Idea , 2009 .
[46] Aniket Kittur,et al. Crowdsourcing user studies with Mechanical Turk , 2008, CHI.
[47] Kai Kunze,et al. Towards inferring language expertise using eye tracking , 2013, CHI Extended Abstracts.
[48] Hojung Cha,et al. Automatically characterizing places with opportunistic crowdsensing using smartphones , 2012, UbiComp.
[49] Hans Schaffers,et al. Smart Cities and the Future Internet: Towards Cooperation Frameworks for Open Innovation , 2011, Future Internet Assembly.
[50] Jun Li,et al. Improving RF-based device-free passive localization in cluttered indoor environments through probabilistic classification methods , 2012, 2012 ACM/IEEE 11th International Conference on Information Processing in Sensor Networks (IPSN).
[51] Andrea Vitaletti,et al. Smart City: An Event Driven Architecture for Monitoring Public Spaces with Heterogeneous Sensors , 2010, 2010 Fourth International Conference on Sensor Technologies and Applications.
[52] Minho Shin,et al. AnonySense: A system for anonymous opportunistic sensing , 2011, Pervasive Mob. Comput..
[53] Bengt Ahlgren,et al. A survey of information-centric networking , 2012, IEEE Communications Magazine.
[54] P. Nijkamp,et al. Smart Cities in Europe , 2011 .
[55] R. E. Hall,et al. VISION OF A SMART CITY , 2000 .
[56] A. Atkinson,et al. Evidence for distinct contributions of form and motion information to the recognition of emotions from body gestures , 2007, Cognition.
[57] Michael Beigl,et al. Feedback-Based Closed-Loop Carrier Synchronization: A Sharp Asymptotic Bound, an Asymptotically Optimal Approach, Simulations, and Experiments , 2011, IEEE Transactions on Mobile Computing.
[58] Yusheng Ji,et al. PINtext: A Framework for Secure Communication Based on Context , 2011, MobiQuitous.
[59] Mirco Musolesi,et al. The Rise of People-Centric Sensing , 2008, IEEE Internet Comput..
[60] Paul Lukowicz,et al. The OPPORTUNITY Framework and Data Processing Ecosystem for Opportunistic Activity and Context Recognition , 2012 .
[61] Artemis Moroni,et al. Vision and Challenges for Realising the Internet of Things , 2010 .
[62] Michael Beigl,et al. Investigation of Context Prediction Accuracy for Different Context Abstraction Levels , 2012, IEEE Transactions on Mobile Computing.
[63] Allison Woodruff,et al. Common Sense: participatory urban sensing using a network of handheld air quality monitors , 2009, SenSys '09.
[64] Ramesh Govindan,et al. Medusa: a programming framework for crowd-sensing applications , 2012, MobiSys '12.