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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
Summary and Future Works
This chapter gives a brief summary of the research works from Chaps. 2, 3, 4 and al...
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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 and Conference Paper
Dynamic Modelling and Analysis of Flexible Structure Actuated by Dielectric Elastomer
Soft robot is one of the current research hotspots. As the main driving component, flexible joint plays a vital role in the actuating performance of flexible robot, so it is of great significance for the desig...
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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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Chapter
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
A Hybrid Incremental Sheet Forming Process for Fabricating Functional Surface Microtextures
Metallic components with large-area functional surface microtextures like microgrooves and dimples have special functions such as drag reduction and energy efficiency enhancement. Existing forming processes ar...
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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 and Conference Paper
Application of Hydrogen Reburning Technology in Low Nitrogen Combustion in 660 MW Coal-Fired Boilers
Coal-fired boilers are one of the main sources of NOx emissions, and controlling the generation and emission of nitrogen oxides is a hot issue of general concern in today’s society. Hydrogen has the characteristi...
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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
Introduction: A Brief History of Deep Learning and Its Applications in Power Systems
This chapter gives a brief introduction to the history of deep learning and the associated concepts. One step further, various deep learning applications in the area of power systems are also discussed to prov...
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Chapter and Conference Paper
Handwritten Table Recognition Method Based on Multi-head Attention Mechanism and Knowledge Graph
With the development of smart grid, the use of digital to reduce the burden of the basic level is the efficiency of the development of power grid. However, most of the data of operation and maintenance are sto...
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Chapter and Conference Paper
Semantic Segmentation of Medical Images Based on Knowledge Distillation Algorithm
(1) Background: Since the advent of convolutional neural networks, they have been employed in various fields. Nevertheless, the calculation cost must be considered for the automatic deep learning analysis. A n...
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Chapter and Conference Paper
Analysis of Soil Properties Under Different Landforms and Vegetation in Liangucheng National Reserve in Minqin, China
In order to correctly evaluate the soil conditions in arid areas and facilitate the sustainable management of the land. Our research was performed at the Liangucheng National Reserve in Minqin, Gansu province,...
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Chapter and Conference Paper
Research on Optimal Chimeric Morphology of Flexible DC Interconnect Topology Considering Node Inertia Constraints
In order to solve the security risks between different power grids, it is necessary to use flexible interconnection devices to interconnect with each other to improve the security and reliability. With the dev...
