Walrasian equilibrium-based multiobjective optimization for task allocation in mobile crowdsourcing
With the rapid development of Industry 5.0 and mobile devices, the research of mobile
crowdsensing networks has become an important research focus. Task allocation is an …
crowdsensing networks has become an important research focus. Task allocation is an …
Incentive mechanism for multiple cooperative tasks with compatible users in mobile crowd sensing via online communities
Mobile crowd sensing emerges as a new paradigm which takes advantage of the pervasive
sensor-embedded smartphones to collect data. Many incentive mechanisms for mobile …
sensor-embedded smartphones to collect data. Many incentive mechanisms for mobile …
Mutual-preference driven truthful auction mechanism in mobile crowdsensing
Motivating the mobile users to participate in sensing services for efficient data generation
and collection is one of the most critical issues in Mobile Crowdsensing Systems (MCSs) …
and collection is one of the most critical issues in Mobile Crowdsensing Systems (MCSs) …
Quality inference based task assignment in mobile crowdsensing
With the increase of mobile devices, Mobile Crowdsensing (MCS) has become an efficient
way to ubiquitously sense and collect environment data. Comparing to traditional sensor …
way to ubiquitously sense and collect environment data. Comparing to traditional sensor …
Quasi group role assignment with role awareness in self-service spatiotemporal crowdsourcing
Self-service spatiotemporal crowdsourcing (SSC), a booming variant of spatiotemporal
crowdsourcing (SC), emerges because of the vigorous development of the mobile Internet …
crowdsourcing (SC), emerges because of the vigorous development of the mobile Internet …
Incentive mechanism design for truth discovery in crowdsourcing with copiers
Crowdsourcing has become an effective tool to utilize human intelligence to perform tasks
that are challenging for machines. Many truth discovery methods and incentive mechanisms …
that are challenging for machines. Many truth discovery methods and incentive mechanisms …
Method towards reconstructing collaborative business processes with cloud services using evolutionary deep Q-learning
Abstract Service-oriented architecture (SOA) is a significant framework that enables
intelligent information systems to offer business process-based services, namely Business …
intelligent information systems to offer business process-based services, namely Business …
Incentive mechanisms for large-scale crowdsourcing task diffusion based on social influence
Crowdsourcing has become an effective tool to utilize human intelligence to perform tasks
that are challenging for machines. Many incentive mechanisms for crowdsourcing systems …
that are challenging for machines. Many incentive mechanisms for crowdsourcing systems …
Parameterised floating-point arithmetic on FPGAs
J Allan, W Luk - … Conference on Acoustics, Speech, and Signal …, 2001 - ieeexplore.ieee.org
This paper describes the parameterisation, implementation and evaluation of floating-point
adders and multipliers for FPGAs. We have developed a method, based on the Handel-C …
adders and multipliers for FPGAs. We have developed a method, based on the Handel-C …
Online incentive mechanism for mobile crowdsourcing based on two-tiered social crowdsourcing architecture
Mobile crowdsourcing has become an efficient paradigm for performing large scale tasks.
The incentive mechanism is important for the mobile crowdsourcing system to stimulate …
The incentive mechanism is important for the mobile crowdsourcing system to stimulate …