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VSA-SD: A Service Discovery Method Based on Vector Symbol Architecture for Low-Cost IoT System Development 期刊论文
IEEE TRANSACTIONS ON CLOUD COMPUTING, 2024, 卷号: 12, 期号: 1, 页码: 145-158
作者:  Chen, Haiming;  Wang, Lei;  Qin, Wei;  Zhou, Xinyan;  Cui, Li
收藏  |  浏览/下载：2/0  |  提交时间：2024/05/20
Internet of Things  Cloud computing  Delays  Computer architecture  Task analysis  Peer-to-peer computing  Scalability  Internet of things (IoT)  service discovery  vector symbol architecture  
Towards Persistent Detection of DDoS Attacks in NDN: A Sketch-Based Approach 期刊论文
IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING, 2023, 卷号: 20, 期号: 4, 页码: 3449-3465
作者:  Xu, Zhiwei;  Wang, Xin;  Zhang, Yujun
收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04
DDoS attacks  persistent attack detection  named date networking  malicious traffic pattern  lightweight  advanced FM sketch  
BPR: An Erasure Coding Batch Parallel Repair Approach in Distributed Storage Systems 期刊论文
IEEE ACCESS, 2023, 卷号: 11, 页码: 44509-44518
作者:  Song, Ying;  Zhao, Wenxuan;  Wang, Bo
收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04
Distributed processing  Business process re-engineering  Traffic congestion  Encoding  Full-duplex system  Decoding  Bandwidth  Storage management  Distributed storage system  erasure coding  data recovery  
Resource Allocation and Computation Offloading in a Millimeter-Wave Train-Ground Network 期刊论文
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2022, 卷号: 71, 期号: 10, 页码: 10615-10630
作者:  Li, Linqian;  Niu, Yong;  Mao, Shiwen;  Ai, Bo;  Zhong, Zhangdui;  Wang, Ning;  Chen, Yali
收藏  |  浏览/下载：14/0  |  提交时间：2023/07/12
Resource management  Task analysis  Rail transportation  Energy consumption  Communication systems  Broadband communication  Millimeter wave communication  Full-duplex (FD) communications  millimeter-wave (mmWave) communications  mobile edge computing (MEC)  resource allocation  train-ground communications  
A deep spatio-temporal meta-learning model for urban traffic revitalization index prediction in the COVID-19 pandemic 期刊论文
ADVANCED ENGINEERING INFORMATICS, 2022, 卷号: 53, 页码: 12
作者:  Wang, Yue;  Lv, Zhiqiang;  Sheng, Zhaoyu;  Sun, Haokai;  Zhao, Aite
收藏  |  浏览/下载：17/0  |  提交时间：2022/12/07
Urban computing  Traffic revitalization index prediction  COVID-19pandemic  Meta-learning  Spatio-temporal correlation  
Fine-Grained Trajectory-Based Travel Time Estimation for Multi-City Scenarios Based on Deep Meta-Learning 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 13
作者:  Wang, Chenxing;  Zhao, Fang;  Zhang, Haichao;  Luo, Haiyong;  Qin, Yanjun;  Fang, Yuchen
收藏  |  浏览/下载：19/0  |  提交时间：2022/12/07
Estimation  Trajectory  Task analysis  Urban areas  Roads  Data models  Global Positioning System  Spatial-temporal data mining  travel time estimation  meta learning  deep learning  
Traffic-Aware Task Offloading Based on Convergence of Communication and Sensing in Vehicular Edge Computing 期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2021, 卷号: 8, 期号: 24, 页码: 17762-17777
作者:  Qi, Yanli;  Zhou, Yiqing;  Liu, Ya-Feng;  Liu, Ling;  Pan, Zhengang
收藏  |  浏览/下载：28/0  |  提交时间：2022/06/21
Task analysis  Sensors  Servers  Wireless sensor networks  Wireless communication  Data communication  Cameras  Convergence of communication and sensing  overall response time (ORT)  traffic-aware task offloading  vehicular network  
C2QoS: Network QoS guarantee in vSwitch through CPU-cycle management 期刊论文
JOURNAL OF SYSTEMS ARCHITECTURE, 2021, 卷号: 116, 页码: 13
作者:  Yang, Ye;  Jiang, Haiyang;  Wu, Yulei;  Han, Chunjing;  Lv, Yilong;  Li, Xing;  Yang, Bowen;  Fdida, Serge;  Xie, Gaogang
收藏  |  浏览/下载：40/0  |  提交时间：2021/12/01
QoS  vSwitch  CPU resource competition  Scheduling  Cloud computing  
Accelerated LiDAR data processing algorithm for self-driving cars on the heterogeneous computing platform 期刊论文
IET COMPUTERS AND DIGITAL TECHNIQUES, 2020, 卷号: 14, 期号: 5, 页码: 201-209
作者:  Li, Wei;  Liang, Jun;  Zhang, Yunquan;  Jia, Haipeng;  Xiao, Lin;  Li, Qing
收藏  |  浏览/下载：116/0  |  提交时间：2020/12/10
feature extraction  optical radar  optimisation  optical information processing  traffic engineering computing  mobile robots  automobiles  accelerated LiDAR data processing algorithm  self-driving cars  heterogeneous computing platform  optimisation  NVIDIA Tegra X2 computing platform  feature extraction  obstacle clustering  
ADST: Forecasting Metro Flow Using Attention-Based Deep Spatial-Temporal Networks with Multi-Task Learning 期刊论文
SENSORS, 2020, 卷号: 20, 期号: 16, 页码: 23
作者:  Jia, Hongwei;  Luo, Haiyong;  Wang, Hao;  Zhao, Fang;  Ke, Qixue;  Wu, Mingyao;  Zhao, Yunyun
收藏  |  浏览/下载：51/0  |  提交时间：2020/12/10
forecasting passenger flow  spatiotemporal networks  multi-task learning  attention mechanism  spatiotemporal dependency