205 Result(s)
within
Chapter
Fan** Li
Computer Science
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Chapter
A Brief Introduction
In this chapter, we first introduce the background regarding Mobile Crowdsensing (MCS) and present an overview of MCS. Then, we specifically state the incentive mechanism design problem for MCS. Finally, we de...
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Chapter
Summary
In this chapter, we summarize this book and discuss the future directions for incentive mechanisms in MCS.
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Chapter and Conference Paper
Asymptomatic Carriers are Associated with Shorter Negative Conversion Time in Children with Omicron Infections
Objective: Among the Omicron carriers, asymptomatic ones should be paid close attention to due to their silence in clinical symptoms and uncertainty in secondary transmission. The clinical characteristics asso...
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Chapter
Prospectives of Further Developments and Applications of Approximate Knowledge Interpolation
This final chapter concludes the book. Firstly, it provides a summary of the topics presented in the preceding chapters, including an emphasis on the recent advances in approximate knowledge interpolative reas...
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Chapter and Conference Paper
Robust Self-contact Detection Based on Keypoint Condition and ControlNet-Based Augmentation
Existing self-contact detection methods have difficulty detecting dense per-vertex self-contact. Dataset collection for existing self-contact detection methods is costly and inefficient, as it requires differe...
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Chapter
Fair Incentive Mechanism for Mobile Crowdsensing
In this chapter, we jointly address practical issues in the incentive mechanism for MCS to fairly incentivize high-quality users’ participation, like (1) the platform has no knowledge about users’ sensing qual...
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Coopetition-Aware Incentive Mechanism for Mobile Crowdsensing
Most of the existing works on MCS only consider designing incentive mechanisms for a single MCS platform. In this chapter, we study the incentive mechanism in MCS with multiple platforms under two scenarios: c...
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Chapter and Conference Paper
Design of Push Algorithm for Individualized Course Content of College Public Art Education Online Education
In order to improve the adaptability of online education personalized course push resources and user demand resources, and reduce the push time, a new push method is designed for online education personalized ...
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Chapter and Conference Paper
Embedded Computing Course Design for Internet of Things and Smart Things Applications
With the rapid advancement of IoT technology, IoT education has emerged as a new challenge in university education. A course named “Smart Hardware and Intelligent Systems” is designed to target for undergradua...
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Chapter
Long-Term Incentive Mechanism for Mobile Crowdsensing
In this chapter, we propose an incentive mechanism for crowdsensing under the continuous and time-varying scenario using a three-stage Stackelberg game. In such a scenario, different requesters generate sensin...
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Chapter
Collaborative Incentive Mechanism for Mobile Crowdsensing
In this chapter, we propose PTASIM, an incentive mechanism that explores cooperation with POI-tagging App for Mobile Edge Crowdsensing (MEC). PTASIM requests the App to tag some edges to be POI (Points-of-Inte...
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Chapter and Conference Paper
A Lightweight Text Classification Model Based on Label Embedding Attentive Mechanism
This paper presents a lightweight model based on the self-attention mechanism for text classification tasks. In our model, we incorporate auxiliary information of the label through the label embedding method, ...
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Chapter
Practical Integrated Weighted Approximate Reasoning
Pattern-matching-based approximate reasoning methods (e.g. CRI) can be effective and efficient when applicable, while FRI methods work well when facing incomplete knowledge bases. To maximise the benefits of b...
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Chapter and Conference Paper
DQN-Based Applications Offloading with Multiple Interdependent Tasks in Mobile Edge Computing
Recently, Vehicular Edge Computing (VEC) is evolving as a solution for offloading computationally intensive tasks in in-vehicle environments. However, when the number of vehicles and users is large, pure edge ...
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Chapter and Conference Paper
A New Approach for Ontology Generation from Relational Data Design Patterns
Knowledge graphs can effectively manage domain knowledge such as entities, properties, relations and events. Recent years have witnessed quite a few successful AI applications with the help of knowledge graphs...
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Chapter and Conference Paper
A Method for Sharing Economic Law Teaching Curriculum Resources Based on WEB Data Mining
In order to address the shortcomings of low sharing accuracy and long waiting time for shared tasks in existing course resource sharing methods, this paper proposes a teaching course resource sharing method ba...
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Chapter and Conference Paper
ASEV: Anonymous and Scored-Based E-Voting Protocol on Blockchain
E-voting protocols based on the blockchain can ensure secure and fair voting without a trusted third party. Nonetheless, the majority of current blockchain-based voting protocols only permit yes/no voting for ...
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Chapter
Attribute Weighting and Weighted Fuzzy Rule Bases
In conventional fuzzy inference systems, the if-then rules available are typically represented in a flat form without differing the importance levels amongst the antecedent attributes, and therefore, all attribut...
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Chapter and Conference Paper
Query Optimization Mechanism for Blockchain-Based Efficient Data Traceability
Efficient traceability query processing is of utmost importance in blockchain systems. However, existing methods suffer from efficiency challenges, necessitating immediate optimization. Prior research primaril...
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Chapter
Attribute-Weighted Fuzzy Interpolative Reasoning
As exhibited previously, the weights of individual rule antecedent attributes can be computed through a reverse engineering procedure applied to the given fuzzy rule base. As such, the unrealistic assumption t...
