Skip to main content

previous disabled Page of 2
and
  1. No Access

    Chapter and Conference Paper

    Condition Monitoring of Wind Turbine Anemometers Based on Combined Model Deep Learning

    The dynamic working environment brings challenges to the condition monitoring of anemometers. To accurately grasp the actual performance status of wind turbines (WTs) and timely detect anemometer faults, a com...

    Anfeng Zhu, Qiancheng Zhao, Tianlong Yang in Artificial Intelligence and Robotics (2024)

  2. No Access

    Chapter

    Open Issues

    In this chapter, we will discuss three important open issues, which can further enable readers to understand this monograph from a more comprehensive perspective.

    Chaocan **ang, Panlong Yang, Fu **ao in Multi-dimensional Urban Sensing Using Crow… (2023)

  3. No Access

    Chapter

    Conclusions

    In this monograph, we have introduced the latest research about urban crowdsensing. Specifically, in Part I, we focused on utilizing crowdsensing to sense the smart city in terms of fundamental issues of three...

    Chaocan **ang, Panlong Yang, Fu **ao in Multi-dimensional Urban Sensing Using Crow… (2023)

  4. No Access

    Chapter

    Incentivizing Platform-Users with Win-Win Effects

    To ensure the effectiveness of crowdsensing, it is of vital importance to incentivize the interactions of participants and platforms. However, existing approaches are incapable of personalized bidding (PB), i.e.,...

    Chaocan **ang, Panlong Yang, Fu **ao in Multi-dimensional Urban Sensing Using Crow… (2023)

  5. No Access

    Chapter

    Data Transmission Empowered by Edge Computing

    Intelligent Transportation Systems (ITSs) have been applied in a wide range to provide traffic sensing data for various smart traffic applications. However, the missing data, which is inevitable and ubiquitous...

    Chaocan **ang, Panlong Yang, Fu **ao in Multi-dimensional Urban Sensing Using Crow… (2023)

  6. No Access

    Chapter

    Urban Traffic Application: Traffic Volume Prediction

    As smart cities and smart buildings develop rapidly, they generate a large number of building sensing data by the equipped sensors. There is no doubt that building sensing data shines a bright future to enrich...

    Chaocan **ang, Panlong Yang, Fu **ao in Multi-dimensional Urban Sensing Using Crow… (2023)

  7. No Access

    Chapter and Conference Paper

    Community Detection Based on Enhancing Graph Autoencoder with Node Structural Role

    The representation learning approach aims to obtain a low-dimensional representation of nodes and accomplish community detection by clustering. Adjacency matrix is the most common form of network representatio...

    Ling Wu, **long Yang, Kun Guo in Computer Supported Cooperative Work and Social Computing (2023)

  8. No Access

    Chapter

    Task Recommendation Based on Big Data Analysis

    With the prevalence of Mobility-on-Demand (MOD) vehicles, MOD-Vehicular-Crowdsensing (MOVE-CS) was brought in and has become a whole new market. By MOVE-CS, drivers can make more money by gathering road data. ...

    Chaocan **ang, Panlong Yang, Fu **ao in Multi-dimensional Urban Sensing Using Crow… (2023)

  9. No Access

    Chapter

    Environmental Protection Application: Urban Pollution Monitoring

    The application of crowd-sensing networks is a low-cost and promising approach to identify low-level radiation sources, which is rather crucial for the security and protection of modern cities. Nevertheless, i...

    Chaocan **ang, Panlong Yang, Fu **ao in Multi-dimensional Urban Sensing Using Crow… (2023)

  10. No Access

    Chapter

    Airborne Sensing Application: Reusing Delivery Drones

    Due to the expanding number and massive coverage, delivery drones with various sensors, have shown huge yet unexplored potentials in large-scale and low-cost urban crowdsensing in terms of package delivery. We...

    Chaocan **ang, Panlong Yang, Fu **ao in Multi-dimensional Urban Sensing Using Crow… (2023)

  11. No Access

    Chapter and Conference Paper

    Capacity Analysis of Ambient Backscatter System with Bernoulli Distributed Excitation

    In recent years, building Internet of Things (IoT) systems through backscatter communication techniques has gained rapid popularity. Backscatter communication relying on passive reflections of the existing RF ...

    Pengfei Li, **n He, Nikolaos M. Freris in Wireless Algorithms, Systems, and Applicat… (2020)

  12. No Access

    Chapter and Conference Paper

    Online DAG Scheduling with On-Demand Function Configuration in Edge Computing

    Modern applications in mobile computing become increasingly complex and computation intensive. Task offloading from mobile devices to the cloud is more and more frequent. Edge Computing, deploying relatively s...

    Liuyan Liu, Haoqiang Huang, Haisheng Tan in Wireless Algorithms, Systems, and Applicat… (2019)

  13. No Access

    Chapter and Conference Paper

    A Self-organizing Base Station Slee** Strategy in Small Cell Networks Using Local Stable Matching Games

    A distributed small-base stations (s-BSs) slee** approach is proposed for optimizing energy efficiency (EE) in small cell networks (SCNs). Different from the existing studies, the associating preferences of ...

    Yiwei Xu, Panlong Yang, Jian Gong in Wireless Algorithms, Systems, and Applications (2018)

  14. No Access

    Chapter and Conference Paper

    You Can Write Numbers Accurately on Your Hand with Smart Acoustic Sensing

    Although smartwatch has drawn many attentions in recent years, small and inconvenient interaction mode limits the prevalence of smartwatches. Writing numbers with hands will naturally extend the input interfa...

    Mingshi Chen, Panlong Yang, ** Li in Quality, Reliability, Security and Robustn… (2018)

  15. No Access

    Chapter and Conference Paper

    You Can Charge over the Road: Optimizing Charging Tour in Urban Area

    Wireless energy transfer has provided a promising technology to extend the lifetime of wireless rechargeable sensor network. Most of previous studies focus on scheduling chargers or deploying stationary chargi...

    Xunpeng Rao, Panlong Yang, Yubo Yan in Wireless Algorithms, Systems, and Applications (2017)

  16. No Access

    Chapter and Conference Paper

    Accurate Identification of Low-Level Radiation Sources with Crowd-Sensing Networks

    The use of crowd-sensing networks is a promising and low-cost way for identifying low-level radiation sources, which is greatly important for the security protection of modern cities. However, it is challengin...

    Chaocan **ang, Panlong Yang, Wanru Xu in Big Data Computing and Communications (2016)

  17. No Access

    Chapter and Conference Paper

    Narthil: Push the Limit of Cross Technology Coexistence for Interfered Preambles

    Recent studies show that cross technology interference is critically important for emergence of innovative applications in today’s wireless networks. Existing approaches either suffer from the constraint of th...

    ** Li, Panlong Yang, Yubo Yan, Lei Shi, Maotian Zhang in Cloud Computing and Security (2016)

  18. No Access

    Chapter and Conference Paper

    FOAM: Frequency-Offset Aware Multiple Client Selection for Cooperative Packet Recovery System

    Software radio systems are playing fundamentally important role for develo** intelligent and advanced wireless network system. For cooperative network design, especially loosely coupled system, e.g., the mul...

    ** Li, Panlong Yang, Yubo Yan, Lei Shi in Big Data Computing and Communications (2015)

  19. No Access

    Chapter and Conference Paper

    Force Identification by Using SVM and CPSO Technique

    A novel method is presented to determine the external dynamic forces applied on structures from measured structural responses in this paper. The method utilizes a new SVM-CPSO model that hybridized the chaos p...

    Zhichao Fu, Cheng Wei, Yanlong Yang in Advances in Swarm Intelligence (2010)

  20. Chapter and Conference Paper

    Deadline Probing: Towards Timely Cognitive Wireless Network

    A confidential and effective probing is fundamental to a cooperative and cognitive wireless network. Previous seminar works are not deadline sensitive, and often suffer from highly dynamic multi-channel enviro...

    Panlong Yang, Guihai Chen, Qihui Wu in Network and Parallel Computing (2008)

previous disabled Page of 2