Skip to main content
SpringerLink
Log in

Algorithms and Architectures for Parallel Processing

21st International Conference, ICA3PP 2021, Virtual Event, December 3–5, 2021, Proceedings, Part I

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Yongxuan Lai

    1. Xiamen University, Xiamen, China

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Tian Wang

    1. Beijing Normal University, Zhuhai, China

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Min Jiang

    1. Xiamen University, Xiamen, China

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  4. Guangquan Xu

    1. Tianjin University, Tianjin, China

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  5. Wei Liang

    1. Hunan University, Changsha, China

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  6. Aniello Castiglione

    1. University of Naples Parthenope, Naples, Italy

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13155)

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

Included in the following conference series:

Conference proceedings info: ICA3PP 2021.

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 89.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 119.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (49 papers)

  1. Front Matter

    Pages i-xxxv
    Download chapter PDF

  2. Deep Learning Models and Applications

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. CRFST-GCN: A Deeplearning Spatial-Temporal Frame to Predict Traffic Flow

      • Chunyan Diao, Dafang Zhang, Wei Liang, Kuan-Ching Li, Man Jiang
      Pages 3-17

    3. BFR-RetinaNet: An Improved RetinaNet Model for Vehicle Detection in Aerial Images

      • J. I. N. Zhang, Meng Luo, Cheng Sun, Peiqi Qu
      Pages 18-32

    4. Learning Knowledge Graph Embeddings by Multi-Attention Mechanism for Link Prediction

      • Meihong Wang, Han Li, Linling Qiu
      Pages 33-49

    5. GlowImp: Combining GLOW and GAN for Multivariate Time Series Imputation

      • Caizheng Liu, Houquan Zhou, Zhi Sun, Guangfan Cui
      Pages 50-64

    6. Accurate Indoor Localization Using Magnetic Sequence Fingerprints with Deep Learning

      • Xuedong Ding, Minghua Zhu, Bo Xiao
      Pages 65-84

    7. Wasserstein Graph Auto-Encoder

      • Yan Chu, Haozhuang Li, Hui Ning, Qingchao Zhao
      Pages 85-99

    8. Fine-Grained Activity Recognition Based on Features of Action Subsegments and Incremental Broad Learning

      • Shi Chen, Sheng Wu, Licai Zhu, Hao Yang
      Pages 100-114

    9. ADFA-LSTM: An Abnormal Trajectory Prediction Method Based on Bionic Neural Network

      • Yan Wang, Gang Cui, Junqiang Zhou, Zhiheng Han
      Pages 115-128

    10. Online Multiple Object Tracking Algorithm Based on Heat Map Propagation

      • Wei Ding, Haokai Hong, Dejun Xu, Min Jiang
      Pages 129-143

  3. Software Systems and Efficient Algorithms

    1. Front Matter

      Pages 145-145
      Download chapter PDF

    2. Spatio-Temporal Topology Routing Algorithm for Opportunistic Network Based on Self-attention Mechanism

      • Xiaorui Wu, Gang Xu, Xinyu Hao, Baoqi Huang, Xiangyu Bai
      Pages 147-161

    3. TSAEns: Ensemble Learning for KPI Anomaly Detection

      • Chengyu Wang, Tao Yang, Jinhua Cui, Yu Li, Tongqing Zhou, Zhiping Cai
      Pages 162-177

    4. Towards Transferable Adversarial Examples Using Meta Learning

      • Mingyuan Fan, Jia-Li Yin, Ximeng Liu, Wenzhong Guo
      Pages 178-192

    5. Temporal Convolution Network Based on Attention for Intelligent Anomaly Detection of Wind Turbine Blades

      • Jianwen Ding, Fan Lin, Shengbo Lv
      Pages 193-209

    6. Error Serial Episodes Discovery from Mobile Payment Log in Distributed ETC

      • Xiang Li, Yawei Zhao, Donghui Li, Wei Guan
      Pages 210-221

    7. Parallel Cache Prefetching for LSM-Tree Based Store: From Algorithm to Evaluation

      • Shuo Zhang, Guangping Xu, YuLei Jia, Yanbing Xue, Wenguang Zheng
      Pages 222-236

    8. A Hybrid TLBO-TS Algorithm Based Mobile Service Selection for Composite Services

      • Runbin Xie, Jianxun Liu, Guosheng Kang, Buqing Cao, Yiping Wen, Jiayan Xiang
      Pages 237-256

    9. UPM-DMA: An Efficient Userspace DMA-Pinned Memory Management Strategy for NVMe SSDs

      • Jinbin Zhu, Limin Xiao, Liang Wang, Guangjun Qin, Rui Zhang, Yuting Liu et al.
      Pages 257-270
Back to top

Other volumes

  1. Algorithms and Architectures for Parallel Processing

  2. Algorithms and Architectures for Parallel Processing

  3. Algorithms and Architectures for Parallel Processing

Keywords

About this book

The three volume set LNCS 13155, 13156, and 13157 constitutes the refereed proceedings of the 21st International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2021, which was held online during December 3-5, 2021.

The total of 145 full papers included in these proceedings were carefully reviewed and selected from 403 submissions. They cover the many dimensions of parallel algorithms and architectures including fundamental theoretical approaches, practical experimental projects, and commercial components and systems.

The papers were organized in topical sections as follows:

Part I, LNCS 13155: Deep learning models and applications; software systems and efficient algorithms; edge computing and edge intelligence; service dependability and security algorithms; data science;

Part II, LNCS 13156: Software systems and efficient algorithms; parallel and distributed algorithms and applications; data science; edge computing and edge intelligence; blockchain systems; deept learning models and applications; IoT;

Part III, LNCS 13157: Blockchain systems; data science; distributed and network-based computing; edge computing and edge intelligence; service dependability and security algorithms; software systems and efficient algorithms.


Editors and Affiliations

  • Xiamen University, Xiamen, China

    Yongxuan Lai, Min Jiang

  • Beijing Normal University, Zhuhai, China

    Tian Wang

  • Tianjin University, Tianjin, China

    Guangquan Xu

  • Hunan University, Changsha, China

    Wei Liang

  • University of Naples Parthenope, Naples, Italy

    Aniello Castiglione

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation