第五届人群辅助传感，普适系统和通信国际研讨会 5th International Workshop on Crowd Assisted Sensing, Pervasive Systems and Communications

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活动简介

Crowd assisted sensing and crowdsourcing, as well as their underlying pervasive systems and communications are a fast-growing research area and one of the enabling technologies of smart cities and smart infrastructures, as well as important building blocks in healthcare monitoring and vehicular technologies. Crowd assisted sensing (often called participatory sensing) opens new ways for data collection which can enable the development of highly scalable and successful pervasive applications and services. Crowdsourcing applications are used to obtain services, ideas or some form of useful content from the human crowd, usually over the Internet. CASPer 2018 intends, for the fifth year at PerCom, to provide a venue for researchers and practitioners to exchange ideas, discuss challenges and present their work and experiments to crowd assisted pervasive systems and communications.We plan to build upon the success of the last four years’ workshops, which received positive feedback from the attendees, who expressed their wish to see it continue.

征稿信息

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/crowdsourcingData integrity, security, privacy, and provenance for crowdsensing/crowdsourcing dataTrust and reputation systems for crowdsensing/crowdsourcing applicationsDetermining and assessing Quality of Information for crowdsensing/crowdsourcing dataCrowd-assisted (human-in-the-loop) approaches to analyzing crowdsensing/crowdsourcing dataContext modeling and reasoning in crowdsensing/crowdsourcing applicationsIncentive mechanisms for participation in crowdsensing/crowdsourcing applicationsSupporting crowdsensing/crowdsourcing in heterogeneous networksCrowd assisted pervasive systems and communicationsNovel use of sensors for crowdsensing/crowdsourcing applicationsEnergy-efficient mechanisms for crowdsensing/crowdsourcing applicationsProgramming abstractions and middleware for crowdsensing/crowdsourcing applicationsNovel large-scale crowdsensing/crowdsourcing applications