-------- Weitergeleitete Nachricht -------- Betreff: [TCCC-ANNOUNCE] CFP of CASPer 2019 (PERCOM 2019 Workshop) Datum: Fri, 19 Oct 2018 10:18:10 -0400 Von: Yu Wang Yu.Wang@UNCC.EDU Antwort an: Yu Wang Yu.Wang@UNCC.EDU An: tccc-announce@comsoc.org
[Apologies for cross and multiple postings]
******************************************************************** 6th International Workshop on Crowd Assisted Sensing, Pervasive Systems and Communications (CASPer 2019) http://plus.shibaura-it.ac.jp/conf/casper2019/ in conjunction with 17th IEEE Conference on Pervasive Computing and Communications, PERCOM 2019 March 11-15th 2019, Kyoto Japan ******************************************************************** Dear colleagues,
We would like to invite you to submit your work to the 6th International Workshop on Crowd Assisted Sensing, Pervasive Systems and Communications ( CASPer 2019), held in conjunction with the 17th IEEE International Conference on Pervasive Computing and Communications (PerCom 2019). We would appreciate if you could circulate this email to colleagues and relevant mailing lists.
Call for Papers
With smart-phones in their pockets, more than 1 billion people now have access to sensing, computation, and connectivity, making it possible to harness the power of the crowd to collect and share data about their surroundings and experiences on a massive scale. Crowdsensing/crowdsourcing is a novel data collection paradigm that leverages this vast mobile sensor network, making it possible to expand the scope of research endeavors and address civic issues without requiring the purchase of specialized sensors or the installation and maintenance of network infrastructure. Data collected using such applications may come from unexpected yet interesting and valuable sources and may allow for collecting data in previously inaccessible locations and contexts.
This new data collection paradigm introduces several research challenges. Privacy is a primary concern for users who contribute sensitive or personally identifiable information (PII). Incentive mechanisms for participation may be needed to encourage people to volunteer their resources to collect data. Methods are needed for processing large-scale, user-generated data sets into meaningful information, and for assessing and understanding the quality of information to help guide decision-making. Approaches, which involve the crowd in such data analysis tasks, with humans serving as a source of semantic information, interpretation, and evaluation of crowdsensing/crowdsourcing data, can also help to build an understanding of the physical, computational, and socio-technical environment.
At the same time, with the deployment of a tremendous number of sensing devices collecting a huge amount of data for smart cities, smart home, connected cars, e-halth or Industries, the Internet of Things is also facing similar challenges regarding data privacy, scalability, data processing or visualization. Thus, there is need to provide relevant data science tools for citizens in order to extract all the properties of the data and provide novel integrated services with data from the crowd or sensors.
The objective of this workshop is to provide a forum for discussion, debate, and collaboration focused on ideas, trends, techniques, and recent advances in crowdsensing and crowdsourcing, as well as Internet of Things and sensed devices. Similarly to our past editions, CASPer 2019 will also feature an invited speech and a panel discussion devoted to the latest key developments in the crowdsensing and crowdsourcing domain.
We invite original research contributions that advance the state-of-the-art as well as position papers, which pose a new direction or present a controversial point of view. Topics of interest include, but are not limited to:
- Algorithms to handle, process, and visualize large-scale crowdsensing/crowdsourcing data sets, e.g. big data analytics in crowdsensing/crowdsourcing - Data integrity, security, privacy, and provenance for crowdsensing/crowdsourcing data - Trust and reputation systems for crowdsensing/crowdsourcing applications - Determining and assessing Quality of Information for crowdsensing/crowdsourcing data - Crowd-assisted (human-in-the-loop) approaches to analyzing crowdsensing/crowdsourcing data - Context modeling and reasoning in crowdsensing/crowdsourcing applications - Incentive mechanisms for participation in crowdsensing/crowdsourcing applications - Supporting crowdsensing/crowdsourcing in heterogeneous networks - Crowd assisted pervasive systems and communications - Novel use of sensors for crowdsensing/crowdsourcing applications - Energy-efficient mechanisms for crowdsensing/crowdsourcing applications - Programming abstractions and middleware for crowdsensing/crowdsourcing applications - Novel large-scale crowdsensing/crowdsourcing applications - Citizen science and Data science tools for Crowdsourcing and Crowdsensing - Internet of Things, Decision Support System, sustainability support, prototyping, test-beds, and real-world implementations.
Submitted papers must be original contributions that are unpublished and are not currently under consideration for publication by other venues. Submissions are limited to a maximum length of 6 pages and must adhere to IEEE format (2 column, 10pt. font). Templates are available via the workshop website. Accepted papers will be published in the IEEE PerCom Workshop Proceedings. Note, that each accepted paper requires a full PERCOM registration including workshop (no registration is available for workshops only). Submission link: https://edas.info/newPaper.php?c=25219
Important Dates: Submission deadline: November 10, 2018 Author Notification: December 22, 2018 Camera ready due: January 12, 2019 Registration Deadline: January 12, 2019 PERCOM 2019: March 11-15, 2019
General Chairs Thomas SILVERSTON – Shibaura Institute of Technology – Japan Yu WANG – University of North Carolina in Charlotte – USA
Program Chairs Luke DICKENS – University College of London – United Kingdom Imre LENDAK – University of Novi Sad (UNS), Serbia & Eötvös Loránd University (ELTE), Hungary
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